Universal and Transferable Attacks on Aligned Language Models

Universal and Transferable Adversarial Attacks on Aligned Language Models

Fine-tuning Aligned Language Models Compromises Safety, Even When Users Do Not Intend To!

Baseline Defenses for Adversarial Attacks Against Aligned Language Models

AutoDAN: Generating Stealthy Jailbreak Prompts on Aligned Large Language Models

How Johnny Can Persuade LLMs to Jailbreak Them: Rethinking Persuasion to Challenge AI Safety by Humanizing LLMs

LLM Self Defense: By Self Examination, LLMs Know They Are Being Tricked

Red-Teaming Large Language Models using Chain of Utterances for Safety-Alignment

On Prompt-Driven Safeguarding for Large Language Models

Defending Large Language Models against Jailbreak Attacks via Semantic
  Smoothing

Gradient Cuff: Detecting Jailbreak Attacks on Large Language Models by
  Exploring Refusal Loss Landscapes


Source code for Twitter's Recommendation Algorithm

MaskNet: Introducing Feature-Wise Multiplication to CTR Ranking Models by Instance-Guided Mask

TACO -- Twitter Arguments from COnversations

Evaluating Twitter's algorithmic amplification of low-credibility content: an observational study


This is the oficial repository for "Parameter-Efficient Multi-task Tuning via Attentional Mixtures of Soft Prompts" (EMNLP 2022)

ATTEMPT: Parameter-Efficient Multi-task Tuning via Attentional Mixtures of Soft Prompts

Model ensemble instead of prompt fusion: a sample-specific knowledge transfer method for few-shot prompt tuning

Unlocking Emergent Modularity in Large Language Models


Code for WSDM 2022 paper, Contrastive Learning for Representation Degeneration Problem in Sequential Recommendation.

Contrastive Learning for Sequential Recommendation

Memory Augmented Multi-Instance Contrastive Predictive Coding for Sequential Recommendation

Mutual Wasserstein Discrepancy Minimization for Sequential Recommendation

Improving Micro-video Recommendation by Controlling Position Bias

Self-Supervised Multi-Modal Sequential Recommendation

A multi-intent based multi-policy relay contrastive learning for sequential recommendation

Addressing the Rank Degeneration in Sequential Recommendation via Singular Spectrum Smoothing


Code to accompany our paper "Continual Learning Through Synaptic Intelligence" ICML 2017

Addressing catastrophic forgetting for medical domain expansion

How do Quadratic Regularizers Prevent Catastrophic Forgetting: The Role of Interpolation


[TPAMI 2024 & CVPR 2023] PyTorch code for DGM4: Detecting and Grounding Multi-Modal Media Manipulation and beyond

Detecting and Grounding Multi-Modal Media Manipulation and Beyond

FKA-Owl: Advancing Multimodal Fake News Detection through Knowledge-Augmented LVLMs


Torch code for using Residual Networks with LSTMs for Lipreading

Combining Residual Networks with LSTMs for Lipreading

End-to-end Audiovisual Speech Recognition

Pushing the boundaries of audiovisual word recognition using Residual Networks and LSTMs

Deep word embeddings for visual speech recognition


Combining Evolutionary Algorithms and deep RL in  various ways

Evolution-Guided Policy Gradient in Reinforcement Learning

CEM-RL: Combining evolutionary and gradient-based methods for policy search

Population-Guided Parallel Policy Search for Reinforcement Learning

ERL-Re^2: Efficient Evolutionary Reinforcement Learning with Shared State Representation and Individual Policy Representation

An Efficient Asynchronous Method for Integrating Evolutionary and Gradient-based Policy Search

Attraction-Repulsion Actor-Critic for Continuous Control Reinforcement Learning

Online Hyper-parameter Tuning in Off-policy Learning via Evolutionary Strategies

Cooperative Heterogeneous Deep Reinforcement Learning


[ICML 2023] official implementation for "Input Perturbation Reduces Exposure Bias in Diffusion Models"

Diffusion Models Beat GANs on Image Synthesis

Elucidating the Exposure Bias in Diffusion Models


Implementation of EMNLP2020 -- Be More with Less: Hypergraph Attention Networks for Inductive Text Classification

A Survey on Text Classification: From Shallow to Deep Learning

Hierarchical Heterogeneous Graph Representation Learning for Short Text Classification

ConTextING: Granting Document-Wise Contextual Embeddings to Graph Neural Networks for Inductive Text Classification

International Conference on Computational Linguistics

Simplified Graph Learning for Inductive Short Text Classification

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing


On the Effectiveness of Least Squares Generative Adversarial Networks

A Comprehensive Survey of AI-Generated Content (AIGC): A History of Generative AI from GAN to ChatGPT

Countering Malicious DeepFakes: Survey, Battleground, and Horizon

Ten years of generative adversarial nets (GANs): a survey of the state-of-the-art


H&E histopathological staining normalization

Predicting molecular phenotypes from histopathology images: a transcriptome-wide expression-morphology analysis in breast cancer

Predicting Breast Cancer Gene Expression Signature by Applying Deep Convolutional Neural Networks From Unannotated Pathological Images

Prediction of Breast Cancer Recurrence Using a Deep Convolutional Neural Network Without Region-of-Interest Labeling

Physical Color Calibration of Digital Pathology Scanners for Robust Artificial Intelligence Assisted Cancer Diagnosis


source code to ICLR'19, 'A Closer Look at Few-shot Classification'

Cross-Domain Few-Shot Classification via Learned Feature-Wise Transformation

Interventional Few-Shot Learning

Fine-Grained Few-Shot Classification with Feature Map Reconstruction Networks.

Joint Distribution Matters: Deep Brownian Distance Covariance for Few-Shot Classification

Informative Dropout for Robust Representation Learning: A Shape-bias Perspective

Why is the Mahalanobis Distance Effective for Anomaly Detection?

Regularizing Meta-Learning via Gradient Dropout

Learning Instance and Task-Aware Dynamic Kernels for Few Shot Learning


Perceiver-Actor: A Multi-Task Transformer for Robotic Manipulation

GNFactor: Multi-Task Real Robot Learning with Generalizable Neural Feature Fields

Learning an Actionable Discrete Diffusion Policy via Large-Scale Actionless Video Pre-Training


Regularizing Class-wise Predictions via Self-knowledge Distillation (CVPR 2020)

Self-Knowledge Distillation with Progressive Refinement of Targets

Rethinking Confidence Calibration for Failure Prediction

FedADC: Accelerated Federated Learning with Drift Control

Self-distillation with Batch Knowledge Ensembling Improves ImageNet Classification

Knowledge Evolution in Neural Networks


This is a re-implementation of TransGAN: Two Pure Transformers Can Make One Strong GAN (NeurIPS 2021) in PyTorch.

An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

TransGAN: Two Pure Transformers Can Make One Strong GAN, and That Can Scale Up

Generative Adversarial Networks for Image Augmentation in Agriculture: A Systematic Review


Hierarchical Recurrent Encoder Decoder for Query Suggestion

A Hierarchical Recurrent Encoder-Decoder For Generative Context-Aware Query Suggestion

Neural information retrieval: at the end of the early years

What Can Task Teach Us About Query Reformulations?

Improving Sequential Query Recommendation with Immediate User Feedback


StarGAN - Official PyTorch Implementation (CVPR 2018)

StarGAN: Unified Generative Adversarial Networks for Multi-Domain Image-to-Image Translation

CNN-generated images are surprisingly easy to spot... for now

AttGAN: Facial Attribute Editing by Only Changing What You Want

DeepFakes and Beyond: A Survey of Face Manipulation and Fake Detection

Detecting GAN generated Fake Images using Co-occurrence Matrices

A Unified Feature Disentangler for Multi-Domain Image Translation and Manipulation

StyleGAN2 Distillation for Feed-forward Image Manipulation

Countering Malicious DeepFakes: Survey, Battleground, and Horizon

Learning Fixed Points in Generative Adversarial Networks: From Image-to-Image Translation to Disease Detection and Localization

A Closer Look at Fourier Spectrum Discrepancies for CNN-generated Images Detection


Codes and Datasets for paper RecSys'20 "SSE-PT: Sequential Recommendation Via Personalized Transformer" and NurIPS'19 "Stochastic Shared Embeddings: Data-driven Regularization of Embedding Layers"

RECSYS 2020: 14TH ACM CONFERENCE ON RECOMMENDER SYSTEMS

Context and Attribute-Aware Sequential Recommendation via Cross-Attention

Proceedings of the 16th ACM Conference on Recommender Systems

Improving Transformer-based Sequential Recommenders through Preference Editing

Advances in Collaborative Filtering and Ranking

Sequence Adaptation via Reinforcement Learning in Recommender Systems

Temporal Collaborative Ranking Via Personalized Transformer


Rethinking Few-Shot Image Classification: a Good Embedding Is All You Need?

Fine-Grained Few-Shot Classification with Feature Map Reconstruction Networks.

Subspace Regularizers for Few-Shot Class Incremental Learning

EASY: Ensemble Augmented-Shot Y-shaped Learning: State-Of-The-Art Few-Shot Classification with Simple Ingredients

Using Shape to Categorize: Low-Shot Learning with an Explicit Shape Bias

The Role of Global Labels in Few-Shot Classification and How to Infer Them

Learning Dense Object Descriptors from Multiple Views for Low-shot Category Generalization


An ultra-fast tool for identification of SARS-CoV-2 and other microbes from sequencing data. This tool can be used to detect viral infectious diseases, like COVID-19.

A computational toolset for rapid identification of SARS-CoV-2, other viruses and microorganisms from sequencing data

RNA editing increases the nucleotide diversity of SARS-CoV-2 in human host cells

Non-SARS-CoV-2 genome sequences identified in clinical samples from COVID-19 infected patients: Evidence for co-infections

Non-coronavirus Genome Sequences Identified from Metagenomic Analysis of Clinical Samples from COVID-19 Infected Patients: An Evidence for Co-infection


GUI-based software for training, evaluating and applying deep neural nets for image classification

Cyclical Learning Rates for Training Neural Networks

AIDeveloper: deep learning image classification in life science and beyond

Depressive disorders are associated with increased peripheral blood cell deformability: a cross-sectional case-control study (Mood-Morph)

Deep learning in forensic gunshot wound interpretation—a proof-of-concept study


RNG-KBQA: Generation Augmented Iterative Ranking for Knowledge Base Question Answering

Do I have the Knowledge to Answer? Investigating Answerability of Knowledge Base Questions

How Proficient Are Large Language Models in Formal Languages? An In-Depth Insight for Knowledge Base Question Answering


SKESA assembler

Database resources of the National Center for Biotechnology Information

Genomic Characteristics of Stx2e-Producing Escherichia coli Strains Derived from Humans, Animals, and Meats

High Prevalence and Persistence of Escherichia coli Strains Producing Shiga Toxin Subtype 2k in Goat Herds

Molecular characterisation of Acinetobacter baumannii isolates from bloodstream infections in a tertiary-level hospital in South Africa

In Vitro Activity of Ceftolozane-Tazobactam against Escherichia coli, Klebsiella pneumoniae and Pseudomonas aeruginosa Obtained from Blood Cultures from Sentinel Public Hospitals in South Africa

Impact of wet-lab protocols on quality of whole-genome short-read sequences from foodborne microbial pathogens

The Emergence and Impact of the M1UK Lineage on Invasive Group A Streptococcus Disease in Aotearoa New Zealand

Bacterial and Genetic Features of Raw Retail Pork Meat: Integrative Analysis of Antibiotic Susceptibility, Whole-Genome Sequencing, and Metagenomics


Code for ACL 2018 paper: "Fast Abstractive Summarization with Reinforce-Selected Sentence Rewriting. Chen and Bansal"

SAMSum Corpus: A Human-annotated Dialogue Dataset for Abstractive Summarization

Proceedings of the 2nd Workshop on New Frontiers in Summarization

Extractive is not Faithful: An Investigation of Broad Unfaithfulness Problems in Extractive Summarization

Joint learning of text alignment and abstractive summarization for long documents via unbalanced optimal transport


A Pytorch implementation of the optimal transport kernel embedding

A Trainable Optimal Transport Embedding for Feature Aggregation and its Relationship to Attention


Official code for UDH: Universal Deep Hiding for Steganography, Watermarking, and Light Field Messaging (Accepted at NeurIPS2020).

Erase and Repair: An Efficient Box-Free Removal Attack on High-Capacity Deep Hiding

Image data hiding with multi-scale autoencoder network

Smaller Is Bigger: Rethinking the Embedding Rate of Deep Hiding

SUDS: Sanitizing Universal and Dependent Steganography

Image Data Hiding in Neural Compressed Latent Representations

Monsters in the Dark: Sanitizing Hidden Threats with Diffusion Models


This Toolbox contains E-measure, S-measure, weighted F & F-measure, MAE and PR curves or bar metrics for salient object detection.

Disentangled High Quality Salient Object Detection

Pyramidal Attention for Saliency Detection

Densely Deformable Efficient Salient Object Detection Network

A Volumetric Saliency Guided Image Summarization for RGB-D Indoor Scene
  Classification


Benchmarking Large Language Models for Automated Verilog RTL Code Generation

VeriGen: A Large Language Model for Verilog Code Generation

LLMs and the Future of Chip Design: Unveiling Security Risks and Building Trust


Implementation of Retrosynthesis Prediction with Conditional Graph Logic Network

Accurate Learning of Graph Representations with Graph Multiset Pooling

Permutation invariant graph-to-sequence model for template-free retrosynthesis and reaction prediction

SynCluster: Reaction Type Clustering and Recommendation Framework for Synthesis Planning


OpenStego is a steganography application that provides two functionalities: a) Data Hiding: It can hide any data within an image file. b) Watermarking: Watermarking image files with an invisible signature. It can be used to detect unauthorized file copying.

Do You Trust Your Model? Emerging Malware Threats in the Deep Learning
  Ecosystem

Open Image Content Disarm And Reconstruction

MalModel: Hiding Malicious Payload in Mobile Deep Learning Models with Black-box Backdoor Attack


Real-time object detection is one of the key applications of deep neural networks (DNNs) for real-world mission-critical systems. While DNN-powered object detection systems celebrate many life-enriching opportunities, they also open doors for misuse and abuse. This project presents a suite of adversarial objectness gradient attacks, coined as TOG, which can cause the state-of-the-art deep object detection networks to suffer from untargeted random attacks or even targeted attacks with three types of specificity: (1) object-vanishing, (2) object-fabrication, and (3) object-mislabeling. Apart from tailoring an adversarial perturbation for each input image, we further demonstrate TOG as a universal attack, which trains a single adversarial perturbation that can be generalized to effectively craft an unseen input with a negligible attack time cost. Also, we apply TOG as an adversarial patch attack, a form of physical attacks, showing its ability to optimize a visually confined patch filled with malicious patterns, deceiving well-trained object detectors to misbehave purposefully.

Adversarial Objectness Gradient Attacks in Real-time Object Detection Systems

International Conference on Trust, Privacy and Security in Intelligent Systems and Applications

Understanding Object Detection Through An Adversarial Lens

TOG: Targeted Adversarial Objectness Gradient Attacks on Real-time Object Detection Systems


Using / reproducing ACD from the paper "Hierarchical interpretations for neural network predictions"  (ICLR 2019)

Definitions, methods, and applications in interpretable machine learning

Proceedings of the National Academy of Sciences of the United States of America

Beyond Word Importance: Contextual Decomposition to Extract Interactions from LSTMs

Interpreting and improving deep-learning models with reality checks


Adversarial Attack on Graph Structured Data (https://arxiv.org/abs/1806.02371)

Adversarial Attack and Defense on Graph Data: A Survey

Adversarial Attacks on Graph Classification via Bayesian Optimisation

Goal-directed graph construction using reinforcement learning

Dynamic Network Reconfiguration for Entropy Maximization using Deep Reinforcement Learning


Code for NeurIPS 2019 paper "Learning to Predict Layout-to-image Conditional Convolutions for Semantic Image Synthesis"

Edge Guided GANs with Semantic Preserving for Semantic Image Synthesis

Improving Augmentation and Evaluation Schemes for Semantic Image Synthesis


Graph Information Bottleneck (GIB) for learning minimal sufficient structural and feature information using GNNs

Graph Information Bottleneck

Combating Bilateral Edge Noise for Robust Link Prediction

Dynamic Graph Information Bottleneck


A simplified PyTorch implementation of "SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient." (Yu, Lantao, et al.)

Code-Switched Language Models Using Neural Based Synthetic Data from Parallel Sentences

From Machine Translation to Code-Switching: Generating High-Quality Code-Switched Text

OodGAN: Generative Adversarial Network for Out-of-Domain Data Generation

Multilingual Transfer Learning for Code-Switched Language and Speech Neural Modeling

Russian Natural Language Generation: Creation of a Language Modelling Dataset and Evaluation with Modern Neural Architectures


Causal Explanation (CXPlain) is a method for explaining the predictions of any machine-learning model.

CXPlain: Causal Explanations for Model Interpretation under Uncertainty

Accurate and Robust Feature Importance Estimation under Distribution Shifts

Analyzing Explainer Robustness via Probabilistic Lipschitzness of Prediction Functions

Boundary-Aware Uncertainty for Feature Attribution Explainers


Code and data for "Target-oriented Opinion Words Extraction with Target-fused Neural Sequence Labeling" (NAACL2019)

A Survey on Aspect-Based Sentiment Analysis: Tasks, Methods, and Challenges

North American Chapter of the Association for Computational Linguistics

Grid Tagging Scheme for Aspect-oriented Fine-grained Opinion Extraction

Enhancement of Target-Oriented Opinion Words Extraction with Multiview-Trained Machine Reading Comprehension Model

Computational intelligence and neuroscience

Is “hot pizza” Positive or Negative? Mining Target-aware Sentiment Lexicons

Conference of the European Chapter of the Association for Computational Linguistics


Code for the ACL 2017 paper "Get To The Point: Summarization with Pointer-Generator Networks"

Don't Give Me the Details, Just the Summary! Topic-Aware Convolutional Neural Networks for Extreme Summarization

SAMSum Corpus: A Human-annotated Dialogue Dataset for Abstractive Summarization

Deep Reinforcement Learning For Sequence to Sequence Models

A Divide-and-Conquer Approach to the Summarization of Long Documents

Question Answering as an Automatic Evaluation Metric for News Article Summarization

Inducing Document Structure for Aspect-based Summarization

Meeting of the Association for Computational Linguistics

Multi-Source Pointer Network for Product Title Summarization

How to Compare Summarizers without Target Length? Pitfalls, Solutions and Re-Examination of the Neural Summarization Literature

Proceedings of the Workshop on Methods for Optimizing and Evaluating Neural Language Generation

Generation of Company descriptions using concept-to-text and text-to-text deep models: dataset collection and systems evaluation

International Conference on Natural Language Generation


NetSMF: Large-Scale Network Embedding as Sparse Matrix Factorization

Graph-based Semi-supervised Learning: A Comprehensive Review

WEB CONFERENCE 2019: PROCEEDINGS OF THE WORLD WIDE WEB CONFERENCE (WWW 2019)

FREDE: Anytime Graph Embeddings

Adaptive Network Automata Modelling of Complex Networks


PyTorch implementation of Emotic CNN methodology to recognize emotions in images using context information.

Context Based Emotion Recognition Using EMOTIC Dataset

IEEE transactions on pattern analysis and machine intelligence

Contextual Emotion Recognition using Large Vision Language Models

Emotional Theory of Mind: Bridging Fast Visual Processing with Slow Linguistic Reasoning

SeLiNet: Sentiment enriched Lightweight Network for Emotion Recognition in Images

Smell and Emotion: Recognising emotions in smell-related artworks


Code for CVPR 2022 paper "Bailando: 3D dance generation via Actor-Critic GPT with Choreographic Memory"

Bailando: 3D Dance Generation by Actor-Critic GPT with Choreographic Memory

Listen, Denoise, Action! Audio-Driven Motion Synthesis with Diffusion Models

Audio-Driven Co-Speech Gesture Video Generation

Explore 3D Dance Generation via Reward Model from Automatically-Ranked Demonstrations


PyTorch implementation of Multi-Label Image Recognition with Graph Convolutional Networks, CVPR 2019.

Relational Multi-Task Learning: Modeling Relations between Data and Tasks


Make river relative elevation models (REM) and REM visualizations from an input digital elevation model (DEM).


[ICML 2020] Efficient Continuous Pareto Exploration in Multi-Task Learning

Controllable Pareto Multi-Task Learning

Scalable Unidirectional Pareto Optimality for Multi-Task Learning with Constraints


Pretrained Language Models for Korean

Leveraging Pre-trained Checkpoints for Sequence Generation Tasks

A novel hybrid methodology of measuring sentence similarity

DLAMA: A Framework for Curating Culturally Diverse Facts for Probing the Knowledge of Pretrained Language Models


Pretraining Efficiently on S2ORC!

What's In My Big Data?

SILO Language Models: Isolating Legal Risk In a Nonparametric Datastore

A Survey of Reasoning with Foundation Models

Do Membership Inference Attacks Work on Large Language Models?

A Survey of Multimodal Large Language Model from A Data-centric
  Perspective

BlackMamba: Mixture of Experts for State-Space Models

Zamba: A Compact 7B SSM Hybrid Model

Moshi: a speech-text foundation model for real-time dialogue

SwitchHead: Accelerating Transformers with Mixture-of-Experts Attention

Scaling Retrieval-Based Language Models with a Trillion-Token Datastore


Official Implementation of "DialogLM: Pre-trained Model for Long Dialogue Understanding and Summarization."

Longformer: The Long-Document Transformer

UniLMv2: Pseudo-Masked Language Models for Unified Language Model Pre-Training

Multi-party Goal Tracking with LLMs: Comparing Pre-training, Fine-tuning, and Prompt Engineering

Annotating and Detecting Fine-grained Factual Errors for Dialogue Summarization


DSTAGNN: Dynamic Spatial-Temporal Aware Graph Neural Network for Traffic Flow Forecasting, which is accepted at ICML2022.

Graph Neural Network for Traffic Forecasting: The Research Progress

ISPRS International Journal of Geo-Information

Graph Neural Rough Differential Equations for Traffic Forecasting

SAUC: Sparsity-Aware Uncertainty Calibration for Spatiotemporal Prediction with Graph Neural Networks


Transformer for abstractive summarization on cnn/daily-mail and gigawords

PIE: A Parallel Idiomatic Expression Corpus for Idiomatic Sentence Generation and Paraphrasing

On the Helpfulness of Document Context to Sentence Simplification

From Solving a Problem Boldly to Cutting the Gordian Knot: Idiomatic Text Generation


Data preparation and loader for AMASS

AMASS: Archive of Motion Capture as Surface Shapes

History Repeats Itself: Human Motion Prediction via Motion Attention

Multi-level Motion Attention for Human Motion Prediction

Deep motifs and motion signatures

SIGGRAPH ASIA'18: SIGGRAPH ASIA 2018 TECHNICAL PAPERS


An automated machine learning framework for audio, text, image, video, or .CSV files (50+ featurizers and 15+ model trainers). Python 3.6 required.

Hyperband: A Novel Bandit-Based Approach to Hyperparameter Optimization

Imbalanced-learn: A Python Toolbox to Tackle the Curse of Imbalanced Datasets in Machine Learning

Auto-Keras: An Efficient Neural Architecture Search System

Evaluation of a Tree-based Pipeline Optimization Tool for Automating Data Science

AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data

Hyperopt-Sklearn: Automatic Hyperparameter Configuration for Scikit-Learn

Proceedings of the Python in Science Conferences

ATM: A distributed, collaborative, scalable system for automated machine learning

Towards Automatically-Tuned Deep Neural Networks

The Springer series on challenges in machine learning

Ludwig: a type-based declarative deep learning toolbox

The Machine Learning Bazaar: Harnessing the ML Ecosystem for Effective System Development

SIGMOD'20: PROCEEDINGS OF THE 2020 ACM SIGMOD INTERNATIONAL CONFERENCE ON MANAGEMENT OF DATA


An instruction-based benchmark for text improvements.

KILT: a Benchmark for Knowledge Intensive Language Tasks

Instruction Tuning for Large Language Models: A Survey

RewriteLM: An Instruction-Tuned Large Language Model for Text Rewriting

EditEval: An Instruction-Based Benchmark for Text Improvements

Towards an On-device Agent for Text Rewriting


Instruction THroughput Estimator using MAchine Learning (ITHEMAL)

Ithemal: Accurate, Portable and Fast Basic Block Throughput Estimation using Deep Neural Networks

BHive: A Benchmark Suite and Measurement Framework for Validating x86-64 Basic Block Performance Models

PROCEEDINGS OF THE 2019 IEEE INTERNATIONAL SYMPOSIUM ON WORKLOAD CHARACTERIZATION (IISWC 2019)

Facile: Fast, Accurate, and Interpretable Basic-Block Throughput Prediction

IEEE International Symposium on Workload Characterization

AnICA: Analyzing Inconsistencies in Microarchitectural Code Analyzers


log anomaly detection toolkit including DeepLog

LogBERT: Log Anomaly Detection via BERT

Log-based Anomaly Detection with Deep Learning: How Far Are We?

Proceedings of the 44th International Conference on Software Engineering

A Critical Review of Common Log Data Sets Used for Evaluation of Sequence-based Anomaly Detection Techniques

Towards Detecting Anomalies in Log-Event Sequences with Deep Learning: Open Research Challenges

PROCEEDINGS OF THE 2023 EUROPEAN INTERDISCIPLINARY CYBERSECURITY CONFERENCE, EICC 2023

Multivariate Log-based Anomaly Detection for Distributed Database

FastLogAD: Log Anomaly Detection with Mask-Guided Pseudo Anomaly
  Generation and Discrimination


Creative Commons Attribution 4.0 International

Mobility changes in response to COVID-19, provided by Descartes Labs

Mobility Changes in Response to COVID-19

Impact of temperature and relative humidity on the transmission of COVID-19: a modelling study in China and the United States

Inter-Series Attention Model for COVID-19 Forecasting

The impact of long-term non-pharmaceutical interventions on COVID-19 epidemic dynamics and control

medRxiv : the preprint server for health sciences

Change of human mobility during COVID-19: A United States case study

Timing of social distancing policies and COVID-19 mortality: county-level evidence from the U.S.

Longitudinal and spatial analysis of Americans’ travel distances following COVID-19

Transportation research. Part D, Transport and environment

Simulation and forecasting models of COVID-19 taking into account spatio-temporal dynamic characteristics: A review

Residential racial segregation and social distancing in the United States during COVID-19

Clustering Patterns Connecting COVID-19 Dynamics and Human Mobility Using Optimal Transport


A deep learning model for small molecule drug discovery and cheminformatics based on SMILES

Improving Small Molecule Generation using Mutual Information Machine

Explainability Techniques for Chemical Language Models

The Role of Model Architecture and Scale in Predicting Molecular
  Properties: Insights from Fine-Tuning RoBERTa, BART, and LLaMA


Unsupervised Attributed Multiplex Network Embedding (AAAI 2020)

Graph Self-Supervised Learning: A Survey

A Comprehensive Survey on Pretrained Foundation Models: A History from BERT to ChatGPT

A Comprehensive Survey on Community Detection With Deep Learning

Self-supervised Heterogeneous Graph Neural Network with Co-contrastive Learning

Self-Supervised Learning on Graphs: Contrastive, Generative, or Predictive

Multiplex Heterogeneous Graph Convolutional Network

Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining

Spectral Clustering of Attributed Multi-relational Graphs

Hierarchical Contrastive Learning Enhanced Heterogeneous Graph Neural Network

Attributed Multi-order Graph Convolutional Network for Heterogeneous Graphs


Creative Commons Attribution Share Alike 4.0 International

A dataset of complex questions on semi-structured Wikipedia tables

Compositional Semantic Parsing on Semi-Structured Tables

Conversational question answering: a survey

Benchmarking and Defending Against Indirect Prompt Injection Attacks on Large Language Models

ReAcTable: Enhancing ReAct for Table Question Answering

Natural Language Interfaces to Data

Abductive Matching in Question Answering


This toolkit consists of implementations of various graph-based semi-supervised learning (SSL) algorithms. Currently, three algorithms are implemented: Gaussian Random Fields (GRF), Adsorption, and Modified Adsorption (MAD). Junto also contains Hadoop-based implementations of these three algorithms.

Graph-based Semi-supervised Learning: A Comprehensive Review

Learning a Part-of-Speech Tagger from Two Hours of Annotation

North American Chapter of the Association for Computational Linguistics

Scaling Graph-based Semi Supervised Learning to Large Number of Labels Using Count-Min Sketch

Improving Statistical Machine Translation with a Multilingual Paraphrase Database

Empirical Methods in Natural Language Processing

Microblog Entity Linking by Leveraging Extra Posts

Bootstrapping via Graph Propagation

Meeting of the Association for Computational Linguistics

Microblog Emotion Classification by Computing Similarity in Text, Time, and Space

International Conference on Computational Linguistics

Minimally Supervised Classification to Semantic Categories using Automatically Acquired Symmetric Patterns

Semi-Supervised Lexicon Learning for Wide-Coverage Semantic Parsing

Learning to Route with Sparse Trajectory Sets---Extended Version


Square Attack: a query-efficient black-box adversarial attack via random search [ECCV 2020]

Reliable evaluation of adversarial robustness with an ensemble of diverse parameter-free attacks

Sparse-RS: a versatile framework for query-efficient sparse black-box adversarial attacks

An empirical study of derivative-free-optimization algorithms for targeted black-box attacks in deep neural networks


Deep learning models for remote sensing applications

ViTs for SITS: Vision Transformers for Satellite Image Time Series

Context-Self Contrastive Pretraining for Crop Type Semantic Segmentation

Self-Supervised Spatio-Temporal Representation Learning of Satellite Image Time Series

IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium

Embedding Earth: Self-supervised contrastive pre-training for dense land cover classification


A Re-implementation of Fixed-update Initialization

Deep Residual Learning for Image Recognition

mixup: Beyond Empirical Risk Minimization

Improving robustness against common corruptions by covariate shift adaptation

Fixup Initialization: Residual Learning Without Normalization

Gradient Descent on Neural Networks Typically Occurs at the Edge of Stability

Fast Axiomatic Attribution for Neural Networks

Adapting the Linearised Laplace Model Evidence for Modern Deep Learning

Dense for the Price of Sparse: Improved Performance of Sparsely Initialized Networks via a Subspace Offset

Gradient Descent Monotonically Decreases the Sharpness of Gradient Flow Solutions in Scalar Networks and Beyond

AdjointBackMap: Reconstructing Effective Decision Hypersurfaces from CNN Layers Using Adjoint Operators


HiFi-GAN: Generative Adversarial Networks for Efficient and High Fidelity Speech Synthesis

Conditional Variational Autoencoder with Adversarial Learning for End-to-End Text-to-Speech

Glow-TTS: A Generative Flow for Text-to-Speech via Monotonic Alignment Search

A Survey on Neural Speech Synthesis

SC-GlowTTS: an Efficient Zero-Shot Multi-Speaker Text-To-Speech Model

A Survey on Non-Autoregressive Generation for Neural Machine Translation and Beyond

EfficientTTS: An Efficient and High-Quality Text-to-Speech Architecture

Expressive Text-to-Speech using Style Tag

Glow-WaveGAN: Learning Speech Representations from GAN-based Variational Auto-Encoder For High Fidelity Flow-based Speech Synthesis

OverFlow: Putting flows on top of neural transducers for better TTS


Code for ACL2020 paper: Few-shot Slot Tagging with Collapsed Dependency Transfer and Label-enhanced Task-adaptive Projection Network

Learning from Miscellaneous Other-Class Words for Few-shot Named Entity Recognition

ConVEx: Data-Efficient and Few-Shot Slot Labeling

Unifying Token- and Span-level Supervisions for Few-shot Sequence Labeling

Robust Few-Shot Named Entity Recognition with Boundary Discrimination and Correlation Purification


The official code for PRIMERA: Pyramid-based Masked Sentence Pre-training for Multi-document Summarization

Foundation Models for Natural Language Processing -- Pre-trained Language Models Integrating Media

Chunk, Align, Select: A Simple Long-sequence Processing Method for Transformers

SKT5SciSumm -- Revisiting Extractive-Generative Approach for Multi-Document Scientific Summarization

Multi-Document Summarization: A Comparative Evaluation


an R/shiny application for creation of Circos plot interactively

shinyCircos: an R/Shiny application for interactive creation of Circos plot

Molecular Epidemiology, Antibiotic Resistance, and Virulence Traits of Stenotrophomonas maltophilia Strains Associated With an Outbreak in a Mexican Tertiary Care Hospital

Frontiers in cellular and infection microbiology

Active DNA demethylation regulates tracheary element differentiation in Arabidopsis

Gram-Negative ESKAPE Bacteria Surveillance in COVID-19 Pandemic Exposes High-Risk Sequence Types of Acinetobacter baumannii MDR in a Tertiary Care Hospital

Persistent gene expression and DNA methylation alterations linked to carcinogenic effects of dichloroacetic acid


Implementation of various self-attention mechanisms focused on computer vision. Ongoing repository.

Attention Is All You Need

An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation

Self-Attention with Relative Position Representations

Is Space-Time Attention All You Need for Video Understanding?

UNETR: Transformers for 3D Medical Image Segmentation

Stand-Alone Self-Attention in Vision Models

Bottleneck Transformers for Visual Recognition

Axial-DeepLab: Stand-Alone Axial-Attention for Panoptic Segmentation

MSA Transformer


Code for "Learning the Best Pooling Strategy for Visual Semantic Embedding", CVPR 2021 (Oral)

Visual Semantic Reasoning for Image-Text Matching

Crisscrossed Captions: Extended Intramodal and Intermodal Semantic Similarity Judgments for MS-COCO

Learnable Pillar-based Re-ranking for Image-Text Retrieval

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval


Python program to evaluate off-resonance Raman activity using VASP code as the backend.

Janus Monolayer Transition Metal Dichalcogenides

Piezoelectric domain walls in van der Waals antiferroelectric CuInP2Se6

Stabilization of O-O Bonds by d(0) Cations in Li4+xNi1-xWO6 (0 <= x <= 0.25) Rock Salt Oxides as the Origin of Large Voltage Hysteresis

Journal of the American Chemical Society

Electronic and vibrational properties of
PbI2
: From bulk to monolayer

Silver route to cuprate analogs

Proceedings of the National Academy of Sciences of the United States of America

Raman spectrum of CrI3: An ab initio study

Synthesis of Xenon and Iron-Nickel Intermetallic Compounds at Earth's Core Thermodynamic Conditions.

Synthesis of a mixed-valent tin nitride and considerations of its possible crystal structures

Prediction of a new ground state of superhard compound B6O at ambient conditions

Infrared and Raman spectra of Bi2O2X and Bi2OX2 (X = S, Se, and Te) studied from first principles calculations


Open-vocabulary Semantic Segmentation

A Simple Baseline for Open-Vocabulary Semantic Segmentation with Pre-trained Vision-language Model

Side Adapter Network for Open-Vocabulary Semantic Segmentation

Understanding and Mitigating Overfitting in Prompt Tuning for Vision-Language Models


A Tensorflow implementation of RetinexNet

Deep Retinex Decomposition for Low-Light Enhancement

UG^2+ Track 2: A Collective Benchmark Effort for Evaluating and Advancing Image Understanding in Poor Visibility Environments

A Novel DenseNet Generative Adversarial Network for Heterogenous Low-Light Image Enhancement


a Ready-to-use PyTorch Extension of Unofficial CutMix Implementations with more improved performance.

CutMix: Regularization Strategy to Train Strong Classifiers with Localizable Features

MixMo: Mixing Multiple Inputs for Multiple Outputs via Deep Subnetworks


Pre-trained word vectors of 30+ languages

Classification Benchmarks for Under-resourced Bengali Language based on Multichannel Convolutional-LSTM Network

Predicting Distresses using Deep Learning of Text Segments in Annual Reports

A Visually-Grounded Parallel Corpus with Phrase-to-Region Linking

PROCEEDINGS OF THE 12TH INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION (LREC 2020)

Comparing Pretrained Multilingual Word Embeddings on an Ontology Alignment Task

PROCEEDINGS OF THE ELEVENTH INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION (LREC 2018)

Identify Abusive and Offensive Language in Indonesian Twitter using Deep Learning Approach

Automatic political discourse analysis with multi-scale convolutional neural networks and contextual data

International Journal of Distributed Sensor Networks

Synchronization in Interpersonal Speech

Word Similarity Datasets for Thai: Construction and Evaluation

Automated Essay Scoring System for Nonnative Japanese Learners

An Unsupervised Normalization Algorithm for Noisy Text: A Case Study for Information Retrieval and Stance Detection


PyTorch implementation for Vision Transformer[Dosovitskiy, A.(ICLR'21)] modified to obtain over 90% accuracy FROM SCRATCH on CIFAR-10 with small number of parameters (= 6.3M, originally ViT-B has 86M).

Training data-efficient image transformers & distillation through attention

TransGAN: Two Pure Transformers Can Make One Strong GAN, and That Can Scale Up

APRIL: Finding the Achilles' Heel on Privacy for Vision Transformers

Do Perceptually Aligned Gradients Imply Adversarial Robustness?

Momentum Stiefel Optimizer, with Applications to Suitably-Orthogonal Attention, and Optimal Transport

Initial Guessing Bias: How Untrained Networks Favor Some Classes

Multipod Convolutional Network

Synaptic Stripping: How Pruning Can Bring Dead Neurons Back To Life

Understanding the Role of Invariance in Transfer Learning


To Trust Or Not To Trust A Classifier. A measure of uncertainty for any trained (possibly black-box) classifier which is more effective than the classifier's own implied confidence (e.g. softmax probability for a neural network).

To Trust Or Not To Trust A Classifier

Addressing Failure Prediction by Learning Model Confidence

Detecting Misclassification Errors in Neural Networks with a Gaussian Process Model

Robust Deep Learning for Autonomous Driving


Official TensorFlow Implementation of Adversarial Training for Free! which trains robust models at no extra cost compared to natural training.

Adversarial Training for Free!

You Only Propagate Once: Accelerating Adversarial Training via Maximal Principle

Bag of Tricks for Adversarial Training

Efficient Adversarial Training with Transferable Adversarial Examples


Implementation of Dreambooth (https://arxiv.org/abs/2208.12242) with Stable Diffusion

DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generation

Multi-Concept Customization of Text-to-Image Diffusion

ELITE: Encoding Visual Concepts into Textual Embeddings for Customized Text-to-Image Generation

DreamVideo: Composing Your Dream Videos with Customized Subject and Motion

Decoupled Textual Embeddings for Customized Image Generation


PyCrown - Fast raster-based individual tree segmentation for LiDAR data


PyTorch Implementation of Learning to Prompt (L2P) for Continual Learning @ CVPR22

Learning to Prompt for Continual Learning

MoP-CLIP: A Mixture of Prompt-Tuned CLIP Models for Domain Incremental Learning

PECTP: Parameter-Efficient Cross-Task Prompts for Incremental Vision Transformer


Code accompanying the paper Pretraining Language Models with Human Preferences

RealToxicityPrompts: Evaluating Neural Toxic Degeneration in Language Models


Neural Network for generating structured queries from natural language.

Seq2SQL: Generating Structured Queries from Natural Language using Reinforcement Learning

SQLNet: Generating Structured Queries From Natural Language Without Reinforcement Learning

A Comprehensive Exploration on WikiSQL with Table-Aware Word Contextualization

Recent Advances in SQL Query Generation: A Survey


This is the official code repository for NumNet+(https://leaderboard.allenai.org/drop/submission/blu418v76glsbnh1qvd0)

Question Directed Graph Attention Network for Numerical Reasoning over Text

A Simple and Effective Model for Answering Multi-span Questions

PACIFIC: Towards Proactive Conversational Question Answering over Tabular and Textual Data in Finance

ELASTIC: Numerical Reasoning with Adaptive Symbolic Compiler

EviDR: Evidence-Emphasized Discrete Reasoning for Reasoning Machine Reading Comprehension


[NeurIPS 2022] Non-rigid Point Cloud Registration with Neural Deformation Pyramid

Dynamic Point Fields

Fast and Robust Non-Rigid Registration Using Accelerated Majorization-Minimization


The official GitHub page for ''Evaluating Object Hallucination in Large Vision-Language Models''

Vision-Flan: Scaling Human-Labeled Tasks in Visual Instruction Tuning

Don't Miss the Forest for the Trees: Attentional Vision Calibration for Large Vision Language Models


A PyTorch implementation for V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation

Fully convolutional networks for automated segmentation of abdominal adipose tissue depots in multicenter water–fat MRI

Deep Neural Networks for Surface Segmentation Meet Conditional Random Fields

3-D Surface Segmentation Meets Conditional Random Fields.


Pytorch code for ECCV'22 paper. ShAPO: Implicit Representations for Multi-Object Shape, Appearance and Pose Optimization

CenterSnap: Single-Shot Multi-Object 3D Shape Reconstruction and Categorical 6D Pose and Size Estimation

ShAPO: Implicit Representations for Multi-Object Shape, Appearance, and Pose Optimization

FSD: Fast Self-Supervised Single RGB-D to Categorical 3D Objects


Official PyTorch implementation of "Image-to-Lidar Self-Supervised Distillation for Autonomous Driving Data"

Segment Any Point Cloud Sequences by Distilling Vision Foundation Models

Multi-Space Alignments Towards Universal LiDAR Segmentation

4D Contrastive Superflows are Dense 3D Representation Learners


Practical Attacks Against Privacy and Availability in 4G/LTE Mobile Communication Systems

Freaky Leaky SMS: Extracting User Locations by Analyzing SMS Timings

FBSDetector: Fake Base Station and Multi Step Attack Detection in Cellular Networks using Machine Learning

SoK: Evaluating 5G Protocols Against Legacy and Emerging Privacy and
  Security Attacks


SimpleNet: A Simple Network for Image Anomaly Detection and Localization

EfficientAD: Accurate Visual Anomaly Detection at Millisecond-Level Latencies

Exploring Plain ViT Reconstruction for Multi-class Unsupervised Anomaly Detection

PKU-GoodsAD: A Supermarket Goods Dataset for Unsupervised Anomaly Detection and Segmentation

AUPIMO: Redefining Visual Anomaly Detection Benchmarks with High Speed and Low Tolerance


SDNet

SDNet: Contextualized Attention-based Deep Network for Conversational Question Answering

Conversational Machine Comprehension: a Literature Review

Do not let the history haunt you -- Mitigating Compounding Errors in Conversational Question Answering


Network Embedding as Matrix Factorization: Unifying DeepWalk, LINE, PTE, and node2vec

Graph-based Semi-supervised Learning: A Comprehensive Review

MILE: A Multi-Level Framework for Scalable Graph Embedding

Neural graph embeddings as explicit low-rank matrix factorization for link prediction

Initialization Matters: Regularizing Manifold-informed Initialization for Neural Recommendation Systems

On Investigating Both Effectiveness and Efficiency of Embedding Methods in Task of Similarity Computation of Nodes in Graphs

QUINT: Node embedding using network hashing

IEEE Transactions on Knowledge and Data Engineering


PyTorch code for EMNLP 2020 Paper "Vokenization: Improving Language Understanding with Visual Supervision"

Vokenization: Improving Language Understanding with Contextualized, Visual-Grounded Supervision

Contextual Word Representations: A Contextual Introduction

LEMON: Lossless model expansion

Leveraging Visual Knowledge in Language Tasks: An Empirical Study on Intermediate Pre-training for Cross-modal Knowledge Transfer


A collection of GNN-based fake news detection models.

Rumor Detection on Social Media with Bi-Directional Graph Convolutional Networks

A Comprehensive Survey on Graph Anomaly Detection with Deep Learning

Fake News Detection on Social Media using Geometric Deep Learning

User Preference-aware Fake News Detection

Graph Neural Networks with Continual Learning for Fake News Detection from Social Media


A Topic Modeling System Toolkit

Short Text Topic Modeling with Topic Distribution Quantization and Negative Sampling Decoder

PROCEEDINGS OF THE 2020 CONFERENCE ON EMPIRICAL METHODS IN NATURAL LANGUAGE PROCESSING (EMNLP)

Mitigating Data Sparsity for Short Text Topic Modeling by Topic-Semantic Contrastive Learning

Effective Neural Topic Modeling with Embedding Clustering Regularization

InfoCTM: A Mutual Information Maximization Perspective of Cross-Lingual Topic Modeling

A Survey on Neural Topic Models: Methods, Applications, and Challenges

On the Affinity, Rationality, and Diversity of Hierarchical Topic Modeling

Discovering Topics in Long-tailed Corpora with Causal Intervention

Towards the TopMost: A Topic Modeling System Toolkit

Modeling Dynamic Topics in Chain-Free Fashion by Evolution-Tracking Contrastive Learning and Unassociated Word Exclusion

FASTopic: A Fast, Adaptive, Stable, and Transferable Topic Modeling Paradigm


HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question Answering

Recitation-Augmented Language Models

Arctic-Embed: Scalable, Efficient, and Accurate Text Embedding Models

Graph-Induced Transformers for Efficient Multi-Hop Question Answering

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing


Official Pytorch implementation of CutMix regularizer

CutMix: Regularization Strategy to Train Strong Classifiers with Localizable Features

Measuring Robustness to Natural Distribution Shifts in Image Classification

A U-Net Based Discriminator for Generative Adversarial Networks

Avoiding Overfitting: A Survey on Regularization Methods for Convolutional Neural Networks

On Feature Normalization and Data Augmentation

A Survey of Deep Learning for Scientific Discovery

KeepAugment: A Simple Information-Preserving Data Augmentation Approach

PixMatch: Unsupervised Domain Adaptation via Pixelwise Consistency Training

Rethinking the Pruning Criteria for Convolutional Neural Network

LaserMix for Semi-Supervised LiDAR Semantic Segmentation


A dataset containing synchronized visual, inertial and GNSS raw measurements.

GVINS: Tightly Coupled GNSS-Visual-Inertial Fusion for Smooth and Consistent State Estimation

InGVIO: A Consistent Invariant Filter for Fast and High-Accuracy GNSS-Visual-Inertial Odometry

A Tightly Coupled Visual-Inertial GNSS State Estimator Based on Point-Line Feature


3D de novo assembly (3D DNA) pipeline

Contrasting signatures of genomic divergence during sympatric speciation

Chromosome-level genome assembly of a parent species of widely cultivated azaleas

From asymmetrical to balanced genomic diversification during rediploidization: Subgenomic evolution in allotetraploid fish

Genomic insights into the origin, domestication and genetic basis of agronomic traits of castor bean

Einkorn genomics sheds light on history of the oldest domesticated wheat

Chromosome-scale assembly and analysis of biomass crop Miscanthus lutarioriparius genome

A High-Quality Haplotype-Resolved Genome of Common Bermudagrass (Cynodon dactylon L.) Provides Insights Into Polyploid Genome Stability and Prostrate Growth

Chromosome-scale assembly of the wild wheat relative Aegilops umbellulata

A telomere-to-telomere reference genome provides genetic insight into the pentacyclic triterpenoid biosynthesis in Chaenomeles speciosa

Subgenome dominance shapes novel gene evolution in the decaploid pitcher plantNepenthes gracilis


Code for the paper "Offline Reinforcement Learning as One Big Sequence Modeling Problem"

Efficient Planning in a Compact Latent Action Space

Bootstrapped Transformer for Offline Reinforcement Learning

Addressing Optimism Bias in Sequence Modeling for Reinforcement Learning

Deep Generative Models for Decision-Making and Control


GPT4Vis: What Can GPT-4 Do for Zero-shot Visual Recognition?

Revisiting Classifier: Transferring Vision-Language Models for Video Recognition

Cap4Video: What Can Auxiliary Captions Do for Text-Video Retrieval?

Bidirectional Cross-Modal Knowledge Exploration for Video Recognition with Pre-trained Vision-Language Models


Tenrec: A Large-scale Multipurpose Benchmark Dataset for Recommender Systems

Multi-Task Deep Recommender Systems: A Survey

Deep Task-specific Bottom Representation Network for Multi-Task Recommendation

Federated Recommendation with Additive Personalization

Task Relation-aware Continual User Representation Learning

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining

Navigating the Future of Federated Recommendation Systems with
  Foundation Models


A curated list of awesome academic researches and industrial materials about Artificial Intelligence for IT Operations (AIOps).

DeepLog: Anomaly Detection and Diagnosis from System Logs through Deep Learning

Conference on Computer and Communications Security

Time-Series Anomaly Detection Service at Microsoft

Identifying impactful service system problems via log analysis

Sage: Practical & Scalable ML-Driven Performance Debugging in Microservices

Architectural Support for Programming Languages and Operating Systems

Correlating events with time series for incident diagnosis

PROCEEDINGS OF THE 20TH ACM SIGKDD INTERNATIONAL CONFERENCE ON KNOWLEDGE DISCOVERY AND DATA MINING (KDD'14)

Predicting Node failure in cloud service systems

An Empirical Investigation of Incident Triage for Online Service Systems

International Conference on Software Engineering

Graph-based trace analysis for microservice architecture understanding and problem diagnosis

PROCEEDINGS OF THE 28TH ACM JOINT MEETING ON EUROPEAN SOFTWARE ENGINEERING CONFERENCE AND SYMPOSIUM ON THE FOUNDATIONS OF SOFTWARE ENGINEERING (ESEC/FSE '20)

Continuous Incident Triage for Large-Scale Online Service Systems

International Conference on Automated Software Engineering

Outage Prediction and Diagnosis for Cloud Service Systems

WEB CONFERENCE 2019: PROCEEDINGS OF THE WORLD WIDE WEB CONFERENCE (WWW 2019)


Sparse Single Sweep LiDAR Point Cloud Segmentation via Learning Contextual Shape Priors from Scene Completion (AAAI 2021)

MonoScene: Monocular 3D Semantic Scene Completion

Semantic Segmentation-assisted Scene Completion for LiDAR Point Clouds

PaSCo: Urban 3D Panoptic Scene Completion with Uncertainty Awareness


Code release for "Git Re-Basin: Merging Models modulo Permutation Symmetries"

REPAIR: REnormalizing Permuted Activations for Interpolation Repair

Simultaneous linear connectivity of neural networks modulo permutation

Analysis of Linear Mode Connectivity via Permutation-Based Weight
  Matching


Variational Denoising Network: Toward Blind Noise Modeling and Removal (NeurIPS, 2019) (Pytorch)

Deep Variational Network Toward Blind Image Restoration

Overparametrization of HyperNetworks at Fixed FLOP-Count Enables Fast Neural Image Enhancement


Fast and accurately polish the genome generated by long reads.

NextPolish: a fast and efficient genome polishing tool for long-read assembly

Chromosome-scale genome assembly provides insights into the evolution and flavor synthesis of passion fruit (Passiflora edulis Sims)

The Cymbidium genome reveals the evolution of unique morphological traits

Genomic basis of homoploid hybrid speciation within chestnut trees

Complete mitochondrial genome assembly and comparison of Camellia sinensis var. Assamica cv. Duntsa

The Complete Mitogenome of Elymus sibiricus and Insights Into Its Evolutionary Pattern Based on Simple Repeat Sequences of Seed Plant Mitogenomes

Thirteen Dipterocarpoideae genomes provide insights into their evolution and borneol biosynthesis

A draft genome of the medicinal plant Cremastra appendiculata (D. Don) provides insights into the colchicine biosynthetic pathway

Chromosome-scale assembly and whole-genome sequencing of 266 giant panda roundworms provide insights into their evolution, adaptation and potential drug targets

Comparative Analysis of the Complete Mitochondrial Genomes of Apium graveolens and Apium leptophyllum Provide Insights into Evolution and Phylogeny Relationships

International journal of molecular sciences


A linear estimator on top of clip to predict the aesthetic quality of pictures

RAFT: Reward rAnked FineTuning for Generative Foundation Model Alignment

Control-A-Video: Controllable Text-to-Video Generation with Diffusion Models

ControlStyle: Text-Driven Stylized Image Generation Using Diffusion Priors

Mora: Enabling Generalist Video Generation via A Multi-Agent Framework

Personalizing Text-to-Image Generation via Aesthetic Gradients

Emu3: Next-Token Prediction is All You Need

Dual3D: Efficient and Consistent Text-to-3D Generation with Dual-mode
  Multi-view Latent Diffusion

Linguistic Profiling of Deepfakes: An Open Database for Next-Generation Deepfake Detection

COVE: Unleashing the Diffusion Feature Correspondence for Consistent Video Editing

Efficient Shapley Values for Attributing Global Properties of Diffusion Models to Data Group


Adversarially Learned One-Class Classifier for Novelty Detection (ALOCC)

Graph-Augmented Normalizing Flows for Anomaly Detection of Multiple Time Series

AMAD: Adversarial Multiscale Anomaly Detection on High-Dimensional and Time-Evolving Categorical Data


Fingerspelling Detection in American Sign Language

Rethinking Learning Approaches for Long-Term Action Anticipation

TUNeS: A Temporal U-Net with Self-Attention for Video-based Surgical Phase Recognition


[NeurIPS 2020] Semi-Supervision (Unlabeled Data) & Self-Supervision Improve Class-Imbalanced / Long-Tailed Learning

Momentum Contrast for Unsupervised Visual Representation Learning

Unsupervised Representation Learning by Predicting Image Rotations

Rethinking the Value of Labels for Improving Class-Imbalanced Learning


Offline Reinforcement Learning with Implicit Q-Learning

Online Decision Transformer

d3rlpy: An Offline Deep Reinforcement Learning Library

Mildly Conservative Q-Learning for Offline Reinforcement Learning

AdaptDiffuser: Diffusion Models as Adaptive Self-evolving Planners

Supported Policy Optimization for Offline Reinforcement Learning

Preference Transformer: Modeling Human Preferences using Transformers for RL

For SALE: State-Action Representation Learning for Deep Reinforcement Learning

Optimal Transport for Offline Imitation Learning

Double Check Your State Before Trusting It: Confidence-Aware Bidirectional Offline Model-Based Imagination


A python library that makes AMR parsing, generation and visualization simple.

Investigating Pretrained Language Models for Graph-to-Text Generation

AMR Parsing via Graph-Sequence Iterative Inference

Code4Struct: Code Generation for Few-Shot Event Structure Prediction

DEAM: Dialogue Coherence Evaluation using AMR-based Semantic Manipulations

SBERT studies Meaning Representations: Decomposing Sentence Embeddings into Explainable Semantic Features

Ensembling Graph Predictions for AMR Parsing

Weisfeiler-Leman in the BAMBOO: Novel AMR Graph Metrics and a Benchmark for AMR Graph Similarity

Translate, then Parse! A strong baseline for Cross-Lingual AMR Parsing

Explainable Unsupervised Argument Similarity Rating with Abstract Meaning Representation and Conclusion Generation

Semantic Structure Enhanced Event Causality Identification


A new framework for open-vocabulary object detection, based on maskrcnn-benchmark

Open-Vocabulary Object Detection Using Captions

Open Vocabulary Object Detection with Pseudo Bounding-Box Labels

Towards Open Vocabulary Object Detection without Human-provided Bounding Boxes


GAP is a gender-balanced dataset containing 8,908 coreference-labeled pairs of (ambiguous pronoun, antecedent name), sampled from Wikipedia for the evaluation of coreference resolution in practical applications.

Measuring Bias in Contextualized Word Representations

Mind the GAP: A Balanced Corpus of Gendered Ambiguous Pronouns

Algorithmic fairness datasets: the story so far

Pre-training Mention Representations in Coreference Models

Tackling Bias in Pre-trained Language Models: Current Trends and Under-represented Societies

Impact of Gender Debiased Word Embeddings in Language Modeling


Compressive Transformers for Long-Range Sequence Modelling

BABILong: Testing the Limits of LLMs with Long Context
  Reasoning-in-a-Haystack

∞-former: Infinite Memory Transformer

CAMELoT: Towards Large Language Models with Training-Free Consolidated
  Associative Memory


EquiDock: geometric deep learning for fast rigid 3D protein-protein docking

Independent SE(3)-Equivariant Models for End-to-End Rigid Protein Docking

Integration of Pre-trained Protein Language Models into Geometric Deep Learning Networks

Flexible protein–protein docking with a multitrack iterative transformer

bioRxiv : the preprint server for biology

Learning Harmonic Molecular Representations on Riemannian Manifold

Rigid Protein-Protein Docking via Equivariant Elliptic-Paraboloid Interface Prediction

DockGame: Cooperative Games for Multimeric Rigid Protein Docking


PyTorch implementation of bayesian neural network [torchbnn]

Robustness of Bayesian Neural Networks to White-Box Adversarial Attacks

Uncertainty quantification in multivariable regression for material property prediction with Bayesian neural networks


A Configurable Recommender Systems Simulation Platform

RecSim: A Configurable Simulation Platform for Recommender Systems

User Behavior Simulation with Large Language Model based Agents

Batch-Constrained Distributional Reinforcement Learning for Session-based Recommendation

RL4RS: A Real-World Dataset for Reinforcement Learning based Recommender System

Offline Meta-level Model-based Reinforcement Learning Approach for Cold-Start Recommendation

Recommendation with User Active Disclosing Willingness


Fully Convolutional Networks for Semantic Segmentation by Jonathan Long*, Evan Shelhamer*, and Trevor Darrell. CVPR 2015 and PAMI 2016.

Deep Clustering for Unsupervised Learning of Visual Features

DeepIGeoS: A Deep Interactive Geodesic Framework for Medical Image Segmentation

IEEE transactions on pattern analysis and machine intelligence

Long Range Graph Benchmark

ModaNet: A Large-Scale Street Fashion Dataset with Polygon Annotations

Guava Detection and Pose Estimation Using a Low-Cost RGB-D Sensor in the Field

SAR-U-Net: Squeeze-and-excitation block and atrous spatial pyramid pooling based residual U-Net for automatic liver segmentation in Computed Tomography

Direct Multitype Cardiac Indices Estimation via Joint Representation and Regression Learning

River segmentation for flood monitoring

Zenodo (CERN European Organization for Nuclear Research)

hackAIR: Towards Raising Awareness about Air Quality in Europe by Developing a Collective Online Platform

ISPRS International Journal of Geo-Information


FgSegNet: Foreground Segmentation Network, Foreground Segmentation Using Convolutional Neural Networks for Multiscale Feature Encoding

Deep Neural Network Concepts for Background Subtraction: A Systematic Review and Comparative Evaluation

Foreground segmentation using convolutional neural networks for multiscale feature encoding

An Empirical Review of Deep Learning Frameworks for Change Detection: Model Design, Experimental Frameworks, Challenges and Research Needs


Model Compression—YOLOv3 with multi lightweight backbones(ShuffleNetV2 HuaWei GhostNet), attention, prune and quantization

Squeeze-and-Excitation Networks

CBAM: Convolutional Block Attention Module

ECA-Net: Efficient Channel Attention for Deep Convolutional Neural Networks


TED parallel Corpora is growing collection of Bilingual parallel corpora, Multilingual parallel corpora and Monolingual corpora extracted from TED talks www.ted.com for 109 world languages.

IndoNLU: Benchmark and Resources for Evaluating Indonesian Natural Language Understanding

OpenMoE: An Early Effort on Open Mixture-of-Experts Language Models

Triangular Architecture for Rare Language Translation

Unsupervised Pivot Translation for Distant Languages

MMCR4NLP: Multilingual Multiway Corpora Repository for Natural Language Processing

WCC-JC: A Web-Crawled Corpus for Japanese-Chinese Neural Machine Translation


主流ocr算法研究实验性的项目，目前实现了CNN+BLSTM+CTC架构

An End-to-End Trainable Neural Network for Image-Based Sequence Recognition and Its Application to Scene Text Recognition

Dense Residual Network: Enhancing Global Dense Feature Flow for Character Recognition

Fully-Convolutional Intensive Feature Flow Neural Network for Text Recognition

Compressed DenseNet for Lightweight Character Recognition


Code base for the precision, recall, density, and coverage metrics for generative models. ICML 2020.

Reliable Fidelity and Diversity Metrics for Generative Models

Pros and Cons of GAN Evaluation Measures: New Developments

The Spatially-Correlative Loss for Various Image Translation Tasks

Instance-Conditioned GAN

FreGAN: Exploiting Frequency Components for Training GANs under Limited Data

CG-NeRF: Conditional Generative Neural Radiance Fields

Heavy-tailed denoising score matching

Aligning Synthetic Medical Images with Clinical Knowledge using Human Feedback

VidMuse: A Simple Video-to-Music Generation Framework with Long-Short-Term Modeling


Circular visualization in Python (Circos Plot, Chord Diagram, Radar Chart)

TOFIMS mass spectrometry-based immunopeptidomics refines tumor antigen identification

Do Domain-Specific Protein Language Models Outperform General Models on Immunology-Related Tasks?

Efficient and accurate detection of viral sequences at single-cell resolution reveals putative novel viruses perturbing host gene expression

Three Rounds of Read Correction Significantly Improve Eukaryotic Protein Detection in ONT Reads


Exploring the Potential of Large Language Models (LLMs) in Learning on Graphs

GraphText: Graph Reasoning in Text Space

Harnessing Explanations: LLM-to-LM Interpreter for Enhanced Text-Attributed Graph Representation Learning

Can LLMs Effectively Leverage Graph Structural Information: When and Why

A Pure Transformer Pretraining Framework on Text-attributed Graphs


Dataset, code and model for the CVPR'20 paper "The Garden of Forking Paths: Towards Multi-Future Trajectory Prediction". And for the ECCV'20 SimAug paper.

SimAug: Learning Robust Representations from Simulation for Trajectory Prediction

SimAug: Learning Robust Representations from 3D Simulation for Pedestrian Trajectory Prediction in Unseen Cameras.

From Recognition to Prediction: Analysis of Human Action and Trajectory Prediction in Video


Implementation of Torsional Diffusion for Molecular Conformer Generation (NeurIPS 2022)

Swallowing the Bitter Pill: Simplified Scalable Conformer Generation

Modeling Molecular Structures with Intrinsic Diffusion Models

RINGER: Rapid Conformer Generation for Macrocycles with Sequence-Conditioned Internal Coordinate Diffusion


A Multi-Aspect Multi-Sentiment Dataset for aspect-based sentiment analysis.

A Challenge Dataset and Effective Models for Aspect-Based Sentiment Analysis

Empirical Methods in Natural Language Processing

A Survey on Aspect-Based Sentiment Analysis: Tasks, Methods, and Challenges

Aspect-based Sentiment Analysis with Type-aware Graph Convolutional Networks and Layer Ensemble

North American Chapter of the Association for Computational Linguistics

Discrete Opinion Tree Induction for Aspect-based Sentiment Analysis

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Complementary Learning of Aspect Terms for Aspect-based Sentiment Analysis

LREC 2022: THIRTEEN INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION

Comparative Analysis of Deep Natural Networks and Large Language Models for Aspect-Based Sentiment Analysis

Human-in-the-Loop Disinformation Detection: Stance, Sentiment, or Something Else?

On the Current State of Reproducibility and Reporting of Uncertainty for Aspect-Based Sentiment Analysis

Machine Learning and Knowledge Discovery in Databases


Model-based design and verification for robotics.

Footstep Planning on Uneven Terrain with Mixed-Integer Convex Optimization

IEEE-RAS International Conference on Humanoid Robots

Finding and Optimizing Certified, Collision-Free Regions in Configuration Space for Robot Manipulators

Certified polyhedral decompositions of collision-free configuration space

Understanding URDF: A Dataset and Analysis

Locosim: an Open-Source Cross-Platform Robotics Framework

Some Applications of Polynomial Optimization in Operations Research and Real-Time Decision Making


A bottom-up traffic emission calculation tool developed at the Institute for Advanced Sustainability Studies in Potsdam and built in Python.


R functions to work with air pollution data


Convolutional Recurrent Neural Network (CRNN) for image-based sequence recognition.

An End-to-End Trainable Neural Network for Image-Based Sequence Recognition and Its Application to Scene Text Recognition

TextBoxes: A Fast Text Detector with a Single Deep Neural Network

TextBoxes++: A Single-Shot Oriented Scene Text Detector

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society

Scene Text Detection and Recognition: The Deep Learning Era

Text Recognition in the Wild: A Survey

Adaptive Adversarial Attack on Scene Text Recognition

A Comprehensive Comparison of End-to-End Approaches for Handwritten Digit String Recognition


Basic Applied Topology Subprograms

Persistent and Zigzag Homology: A Matrix Factorization Viewpoint

Accelerating Iterated Persistent Homology Computations with Warm Starts


The official implementation for paper: Improving Knowledge Distillation via Regularizing Feature Norm and Direction

Masked Autoencoders Are Scalable Vision Learners

Training data-efficient image transformers & distillation through attention


Compute the Euler Characteristic Transform

Measuring hidden phenotype: Quantifying the shape of barley seeds using the Euler Characteristic Transform

An Invitation to the Euler Characteristic Transform


Graph Diffusion Convolution, as proposed in "Diffusion Improves Graph Learning" (NeurIPS 2019)

Diffusion Improves Graph Learning

Scalable Graph Neural Networks via Bidirectional Propagation

Approximate Graph Propagation

How does Heterophily Impact the Robustness of Graph Neural Networks?

Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining

SE-GSL: A General and Effective Graph Structure Learning Framework through Structural Entropy Optimization

Data Augmentation for Graph Data: Recent Advancements

Unifying Homophily and Heterophily Network Transformation via Motifs


UniCausal: Unified Benchmark and Repository for Causal Text Mining

Causal Augmentation for Causal Sentence Classification

Proceedings of the First Workshop on Causal Inference and NLP


Code to run analysis in "A Multiplexed Assay for Exon Recognition Reveals that an Unappreciated Fraction of Rare Genetic Variants Cause Large-Effect Splicing Disruptions"

CADD-Splice—improving genome-wide variant effect prediction using deep learning-derived splice scores

MMSplice: modular modeling improves the predictions of genetic variant effects on splicing

Predicting RNA splicing from DNA sequence using Pangolin

Mutations primarily alter the inclusion of alternatively spliced exons

Modular modeling improves the predictions of genetic variant effects on splicing

Mutational bias and the protein code shape the evolution of splicing enhancers


Interactive web-based visualization and sharing of phylogenetic trees using phylogeny.IO

PanaxGDB: A Comprehensive Platform for Panax

HGFDB: a collective database of helmeted guinea fowl genomics

Database : the journal of biological databases and curation


A toolbox for working with Allen Human Brain Atlas microarray expression data

Topographic gradients of intrinsic dynamics across neocortex

Pubertal timing and functional neurodevelopmental alterations independently mediate the effect of family conflict on adolescent psychopathology

Transcriptional and cellular signatures of cortical morphometric remodelling in chronic pain

Homotopic functional connectivity disruptions in schizophrenia and their associated gene expression

Integrating neuroimaging and gene expression data using the imaging transcriptomics toolbox

P.0276 Cellular and molecular signatures of in vivo gabaergic neurotransmission in the human brain

Transcriptional signatures of the whole-brain voxel-wise resting-state functional network centrality alterations in schizophrenia

Compressed primary‐to‐transmodal gradient is accompanied with subcortical alterations and linked to neurotransmitters and cellular signatures in major depressive disorder

Exploring functional dysconnectivity in schizophrenia: alterations in eigenvector centrality mapping and insights into related genes from transcriptional profiles

Morphometric brain organization across the human lifespan reveals increased dispersion linked to cognitive performance


Extracting Lyapunov exponents from the echo dynamics of Bose-Einstein condensates on a lattice

Dynamics of topological defects after photoinduced melting of a charge density wave

Transient ordering in the Gross-Pitaevskii lattice subject to an energy quench within the disordered phase


G4Hunter (2012_2015)- IECB - Bordeaux

Promoter G-quadruplexes and transcription factors cooperate to shape the cell type-specific transcriptome

G4Hunter web application: a web server for G-quadruplex prediction

Genomic patterns of transcription-replication interactions in mouse primary B cells

Abundant capped RNAs are derived from mRNA cleavage at 3’UTR G-Quadruplexes


Expansion sequencing: Spatially precise in situ transcriptomics in intact biological systems

Expansion microscopy using a single anchor molecule for high-yield multiplexed imaging of proteins and RNAs


hyb: a bioinformatics pipeline for the analysis of CLASH (crosslinking, ligation and sequencing of hybrids) data

COMRADES determines in vivo RNA structures and interactions

Hyb: A bioinformatics pipeline for the analysis of CLASH (crosslinking, ligation and sequencing of hybrids) data

Hfq CLASH uncovers sRNA-target interaction networks linked to nutrient availability adaptation

HuD Is a Neural Translation Enhancer Acting on mTORC1-Responsive Genes and Counteracted by the Y3 Small Non-coding RNA

RNase III CLASH in MRSA uncovers sRNA regulatory networks coupling metabolism to toxin expression

SRRM4 Expands the Repertoire of Circular RNAs by Regulating Microexon Inclusion

Global mapping of RNA homodimers in living cells

miRBind: A Deep Learning Method for miRNA Binding Classification


Python implementation of PSRPOP, designed to be run from the command line or from Python scripts/interpreter

PALFA Discovery of a Highly Relativistic Double Neutron Star Binary

ARECIBO PULSAR SURVEY USING ALFA. IV. MOCK SPECTROMETER DATA ANALYSIS, SURVEY SENSITIVITY, AND THE DISCOVERY OF 40 PULSARS

The High Time Resolution Universe Pulsar Survey – XII. Galactic plane acceleration search and the discovery of 60 pulsars

Monthly Notices of the Royal Astronomical Society

THE GMRT HIGH RESOLUTION SOUTHERN SKY SURVEY FOR PULSARS AND TRANSIENTS. I. SURVEY DESCRIPTION AND INITIAL DISCOVERIES

Time-domain and spectral properties of pulsars at 154 MHz

A comparison of Galactic electron density models using PyGEDM

Publications of the Astronomical Society of Australia

ARECIBO PULSAR SURVEY USING ALFA. III. PRECURSOR SURVEY AND POPULATION SYNTHESIS

Multi-messenger Approaches to Supermassive Black Hole Binary Detection and Parameter Estimation. II. Optimal Strategies for a Pulsar Timing Array

A 21 cm pilot survey for pulsars and transients using the Focal L-Band Array for the Green Bank Telescope

Binary neutron star populations in the Milky Way


Library of bpipe implemented commands commonly applied to minc datafiles, suitable for importing into other pipelines

Modeling and prediction of clinical symptom trajectories in Alzheimer’s disease using longitudinal data

Association of monoamine oxidase-A genetic variants and amygdala morphology in violent offenders with antisocial personality disorder and high psychopathic traits

Sex differences in brain aging among adults with family history of Alzheimer’s disease and APOE4 genetic risk

Neuroanatomical and Symptomatic Sex Differences in Individuals at Clinical High Risk for Psychosis

Refractoriness of aggressive behaviour to pharmacological treatment: cortical thickness analysis in autism spectrum disorder

Bilateral Amygdala Radio-Frequency Ablation for Refractory Aggressive Behavior Alters Local Cortical Thickness to a Pattern Found in Non-refractory Patients

Deformation-based shape analysis of the hippocampus in the semantic variant of primary progressive aphasia and Alzheimer’s disease

High spatial overlap but diverging age‐related trajectories of cortical magnetic resonance imaging markers aiming to represent intracortical myelin and microstructure

Cerebellar and subcortical atrophy contribute to psychiatric symptoms in frontotemporal dementia

Using cortico‐cerebellar structural patterns to classify early‐ and late‐trained musicians


:socks: Stochastic Optimal Control and Reachability Toolbox Written in Python

Data-Driven Chance Constrained Control using Kernel Distribution Embeddings

SOCKS: A Stochastic Optimal Control and Reachability Toolbox Using Kernel Methods

International Conference on Hybrid Systems: Computation and Control

Physics-Informed Kernel Embeddings: Integrating Prior System Knowledge with Data-Driven Control


Provably Efficient Maximum Entropy Exploration

Task-Agnostic Exploration via Policy Gradient of a Non-Parametric State Entropy Estimate

A Policy Gradient Method for Task-Agnostic Exploration


A SEmantic Modeling machIne to build Knowledge Graphs with Graph Neural Networks

Modeling Relational Data with Graph Convolutional Networks

Embedding Entities and Relations for Learning and Inference in Knowledge Bases

SeMi: A SEmantic Modeling machIne to build Knowledge Graphs with graph neural networks

An open source knowledge graph ecosystem for the life sciences

VC-SLAM—A Handcrafted Data Corpus for the Construction of Semantic Models

International Conference on Data Technologies and Applications

An Open-Source Knowledge Graph Ecosystem for the Life Sciences


SCALE-UP: An Efficient Black-box Input-level Backdoor Detection via Analyzing Scaled Prediction Consistency

Domain Watermark: Effective and Harmless Dataset Copyright Protection is Closed at Hand

Progressive Poisoned Data Isolation for Training-time Backdoor Defense


Hydrology and Climate Forecasting R package


Source codes for X-STILT(NOx) [Wu et al., 2018, 2023] based on STILT-R version 2 [Fasoli et al., 2018] and STILT [Lin et al., 2003].

Space-based quantification of per capita CO2 emissions from cities

A Lagrangian Approach Towards Extracting Signals of Urban CO2
Emissions from Satellite Observations of Atmospheric Column CO2
(XCO2): X-Stochastic Time-Inverted Lagrangian Transport model ("X-STILT v1.1")

Towards sector-based attribution using intra-city variations in satellite-based emission ratios between CO2 and CO


Use cloud radiative kernels to compute cloud-induced radiation anomalies

Computing and Partitioning Cloud Feedbacks Using Cloud Property Histograms. Part II: Attribution to Changes in Cloud Amount, Altitude, and Optical Depth

Computing and Partitioning Cloud Feedbacks Using Cloud Property Histograms. Part I: Cloud Radiative Kernels

Contributions of Different Cloud Types to Feedbacks and Rapid Adjustments in CMIP5

Insights from a refined decomposition of cloud feedbacks

An Analysis of the Short-Term Cloud Feedback Using MODIS Data


Unsupervised Enhancement of Soft-biometric Privacy with Negative Face Recognition

An Attack on Facial Soft-biometric Privacy Enhancement


Open-access bacterial population genomics: BIGSdb software, the PubMLST.org website and their applications

Identification of Salmonella for public health surveillance using whole genome sequencing

MOST: A modified MLST typing tool based on short read sequencing

LiSEQ – whole-genome sequencing of a cross-sectional survey of Listeria monocytogenes in ready-to-eat foods and human clinical cases in Europe

The Transformation of Reference Microbiology Methods and Surveillance for Salmonella With the Use of Whole Genome Sequencing in England and Wales

Evaluation of Genomic Typing Methods in the Salmonella Reference Laboratory in Public Health, England, 2012–2020

Shiga toxin-producing Escherichia coli clonal complex 32, including serotype O145:H28, in the UK and Ireland

Genomic analysis of an outbreak of Shiga toxin-producing Escherichia coli O183:H18 in the United Kingdom, 2023


Python Package for Laser Speckle Contrast Imaging

Laser speckle contrast imaging in biomedical optics

Laser speckle contrast imaging: theoretical and practical limitations

Laser Speckle Contrast Imaging: Theory, Instrumentation and Applications

Laser Speckle Imaging to Monitor Microvascular Blood Flow: A Review

Fingerprint Presentation Attack Detection using Laser Speckle Contrast Imaging


Drought SPEI Index Spain Map


RNA-seq, QC and differential analysis pipeline

'Sequana': a Set of Snakemake NGS pipelines

Attenuation of clinical and immunological outcomes during SARS‐CoV‐2 infection by ivermectin

Mitochondrial Fission Process 1 controls inner membrane integrity and protects against heart failure

Mtfp1 ablation enhances mitochondrial respiration and protects against hepatic steatosis

Investigating the role of the carbon storage regulator A (CsrA) in Leptospira spp.

Deciphering the Role of PIG1 and DHN-Melanin in Scedosporium apiospermum Conidia

Depletion of slow-cycling PDGFRα+ADAM12+ mesenchymal cells promotes antitumor immunity by restricting macrophage efferocytosis

Overexpression of Eimeria tenella Rhoptry Kinase 2 Induces Early Production of Schizonts

Susceptibility to Zika virus in a Collaborative Cross mouse strain is induced by Irf3 deficiency in vitro but requires other variants in vivo

Mitochondrial fission process 1 (MTFP1) controls bioenergetic efficiency and prevents inflammatory cardiomyopathy and heart failure in mice


TGB baselines for dynamic link property prediction

Temporal Graph Networks for Deep Learning on Dynamic Graphs

Temporal Graph Benchmark for Machine Learning on Temporal Graphs

TCL: Transformer-based Dynamic Graph Modelling via Contrastive Learning


Improving Neural Machine Translation Models with Monolingual Data

On The Power of Curriculum Learning in Training Deep Networks

Competence-based Curriculum Learning for Neural Machine Translation

Fine-Tuning by Curriculum Learning for Non-Autoregressive Neural Machine Translation


大创项目，层级注意力机器翻译

Neural Machine Translation by Jointly Learning to Align and Translate

Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation

Convolutional Sequence to Sequence Learning

Document-Level Neural Machine Translation with Hierarchical Attention Networks


my crystallographic toolbox

KAMO: towards automated data processing for microcrystals

Acta crystallographica. Section D, Structural biology

Crystal structure of the red light-activated channelrhodopsin Chrimson

Crystal structures of human ETB receptor provide mechanistic insight into receptor activation and partial activation

Structure of the bifunctional cryptochrome aCRY from Chlamydomonas reinhardtii

Development of a dose-limiting data collection strategy for serial synchrotron rotation crystallography

Raw Diffraction Images Of Endothelin Etb Receptor Bound To Clinical Antagonist Bosentan And Its Analog

Zenodo (CERN European Organization for Nuclear Research)


Hierarchical annotation - line (phrase), syllable, phoneme annotations of the jingju (Beijing opera) a-cappella singing dataset

Timbre Analysis of Music Audio Signals with Convolutional Neural Networks

Synthesising Expressiveness in Peking Opera via Duration Informed Attention Network


MITE Tracker: An accurate approach to identify miniature inverted-repeat transposable elements in large genomes

MITE Tracker: an accurate approach to identify miniature inverted-repeat transposable elements in large genomes

TransposonUltimate: software for transposon classification, annotation and detection

Chromosome-level genomes of multicellular algal sisters to land plants illuminate signaling network evolution

bioRxiv : the preprint server for biology


flat-sky code for cmb lensing estimators

Planck 2015 results. XV. Gravitational lensing

Institutional Repository of the University of Granada (University of Granada)

MassiveNuS: cosmological massive neutrino simulations

Journal of Cosmology and Astroparticle Physics

Delensing the CMB with the cosmic infrared background

Physical review. D. Particles, fields, gravitation, and cosmology/Physical review. D, Particles, fields, gravitation, and cosmology

Parameter constraints from cross-correlation of CMB lensing with galaxy clustering

DeepCMB: Lensing Reconstruction of the Cosmic Microwave Background with Deep Neural Networks

Exploring cosmic origins with CORE: Gravitational lensing of the CMB

Cosmological constraints from Planck galaxy clusters with CMB lensing mass bias calibration

Monthly notices of the Royal Astronomical Society

Constraints on Cosmological Parameters from the 500 deg2 SPTPOL Lensing Power Spectrum

A 2500 square-degree CMB lensing map from combined South Pole Telescope and Planck data

Dark Energy Survey Year 1 Results: tomographic cross-correlations between DES galaxies and CMB lensing from SPT+Planck


Tools for fitting transiting exoplanet lightcurves and radial velocities

HD 2685 b: A hot Jupiter orbiting an early F-type star detected by TESS

Carolina Digital Repository (University of North Carolina at Chapel Hill)

DISCOVERY AND VALIDATION OF A HIGH-DENSITY SUB-NEPTUNE FROM THE K2 MISSION

K2-140b - An eccentric 6.57 d transiting hot Jupiter in Virgo

A hot Saturn on an eccentric orbit around the giant star K2-132

An Independent Discovery of Two Hot Jupiters from the K2 Mission

Publications of the Astronomical Society of the Pacific

The architecture and formation of the Kepler-30 planetary system

The Next Generation Transit Survey - Prototyping Phase

K2-113: a dense hot-Jupiter transiting a solar analogue


Code for 'Emergent Symbols through Binding in External Memory'.

Systematic Visual Reasoning through Object-Centric Relational Abstraction

GAMR: A Guided Attention Model for (visual) Reasoning


A framework for index based similarity search.

Norm-Ranging LSH for Maximum Inner Product Search

On Efficient Retrieval of Top Similarity Vectors

Empirical Methods in Natural Language Processing


Modeling of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) Proteins by Machine Learning and Physics-Based Refinement

A Comprehensive Mapping of the Druggable Cavities within the SARS-CoV-2 Therapeutically Relevant Proteins by Combining Pocket and Docking Searches as Implemented in Pockets 2.0

International journal of molecular sciences

SARS-CoV-2 membrane protein: from genomic data to structural new insights

Modeling SARS‐CoV‐2 proteins in the CASP‐commons experiment

Proteins: Structure, Function, and Bioinformatics

Characterization of SARS-CoV-2 viral diversity within and across hosts

Predicted 3D model of the M protein of Porcine Epidemic Diarrhea Virus and analysis of its immunogenic potential


encore: Efficient isotropic 2-, 3-, 4-, 5- and 6-point correlation functions in C++ and CUDA

Probing parity violation with the four-point correlation function of BOSS galaxies

Colliders and ghosts: Constraining inflation with the parity-odd galaxy four-point function

ENCORE: An ��(N_ g^2) Estimator for Galaxy N-Point
  Correlation Functions

Efficient Computation of N-point Correlation Functions in D Dimensions

A First Detection of the Connected 4-Point Correlation Function of Galaxies Using the BOSS CMASS Sample

Analytic Gaussian Covariance Matrices for Galaxy N-Point Correlation Functions

The Uchuu-GLAM BOSS and eBOSS LRG lightcones: Exploring clustering and covariance errors

No evidence for parity violation in BOSS


Clone of "Digital Representations of Tree Species Range Maps from "Atlas of United States Trees" by Elbert L. Little, Jr. (and other publications)"

High exposure of global tree diversity to human pressure

Proceedings of the National Academy of Sciences of the United States of America

Geographic and Ecological Dimensions of Host Plant-Associated Genetic Differentiation and Speciation in the Rhagoletis cingulata (Diptera: Tephritidae) Sibling Species Group

The cold-drought tolerance trade-off in temperate woody plants constrains range size, but not range filling


blandr: a Bland-Altman Method Comparison package for R

Telomere Length Calibration from qPCR Measurement: Limitations of Current Method

Concordance between subjective and objective measures of infant sleep varies by age and maternal mood: Implications for studies of sleep and cognitive development

Artificial Intelligence-based Tumor Segmentation in Mouse Models of Lung Adenocarcinoma

An Assessment of the Validity and Reliability of the Pediatric Child Health Utility 9D in Children with Inflammatory Bowel Disease

Comparison of Dual-Energy X-ray Absorptiometry and Bioelectrical Impedance Analysis in the Assessment of Body Composition in Women with Anorexia Nervosa upon Admission and Discharge from an Inpatient Specialist Unit

International journal of environmental research and public health

Mean kurtosis‐Curve (MK‐Curve) correction improves the test–retest reproducibility of diffusion kurtosis imaging at 3 T

Prospective Performance Evaluation of the miDiagnostics COVID-19 PCR Test for Rapid SARS-CoV-2 Detection on Nasopharyngeal Swabs

Test–retest reliability of eye tracking measures in a computerized Trail Making Test

Rapid Standardized CT-Based Method to Determine Lean Body Mass SUV for PET—A Significant Improvement Over Prediction Equations


R client for the REACTOME Analysis Service for comparative multi-omics gene set analysis

ReactomeGSA - Efficient Multi-Omics Comparative Pathway Analysis

Single-cell transcription analysis reveals the tumor origin and heterogeneity of human bilateral renal clear cell carcinoma


Repository for the QDgym code. A framework for Quality Diversity optimization benchmark tasks based OpenAI Gym.

Quality and Diversity Optimization: A Unifying Modular Framework

Approximating Gradients for Differentiable Quality Diversity in Reinforcement Learning

Training Diverse High-Dimensional Controllers by Scaling Covariance Matrix Adaptation MAP-Annealing


The official implementation of PFNs4BO: In-Context Learning for Bayesian Optimization

MALIBO: Meta-learning for Likelihood-free Bayesian Optimization


Semantic query and text mining tool

A fast, accurate, and generalisable heuristic-based negation detection algorithm for clinical text

Towards similarity-based differential diagnostics for common diseases

Improved characterisation of clinical text through ontology-based vocabulary expansion

Multi-faceted semantic clustering with text-derived phenotypes

Exploring Binary Relations for Ontology Extension and Improved Adaptation to Clinical Text


Pipeline for scaffolding and breaking a genome assembly using 10x genomics linked-reads

Towards complete and error-free genome assemblies of all vertebrate species

Reference genome and demographic history of the most endangered marine mammal, the vaquita

Divergent expression of hypoxia response systems under deoxygenation in reef‐forming corals aligns with bleaching susceptibility

A high-quality, chromosome-level genome assembly of the Black Soldier Fly (Hermetia illucens L.)

Supplementary data for: Chromosome-scale genome assemblies of aphids reveal extensively rearranged autosomes and long-term conservation of the X chromosome

Evolutionary and biomedical insights from a marmoset diploid genome assembly

Chromosome-level genome assembly for giant panda provides novel insights into Carnivora chromosome evolution

A haplotype-resolved, de novo genome assembly for the wood tiger moth (Arctia plantaginis) through trio binning

Genomic and transcriptomic evidence for descent from Plasmodium and loss of blood schizogony in Hepatocystis parasites from naturally infected red colobus monkeys

Transcript- and annotation-guided genome assembly of the European starling


Stata package for two-sample Mendelian randomization analyses using summary data

Guidelines for performing Mendelian randomization investigations

Recent Developments in Mendelian Randomization Studies

Cannabis use and risk of schizophrenia: a Mendelian randomization study

Education and coronary heart disease: mendelian randomisation study

Software Application Profile: mrrobust - a tool for performing two-sample summary Mendelian randomization analyses

An Overview of Methods and Exemplars of the Use of Mendelian Randomisation in Nutritional Research


Invariant-feature Subspace Recovery (ISR)

Distributionally Robust Neural Networks for Group Shifts: On the Importance of Regularization for Worst-Case Generalization

Linear unit-tests for invariance discovery

Provable Domain Generalization via Invariant-Feature Subspace Recovery


Segmentation of the thalamus into 11 nuclei and MTT using white-matter-nulled MPRAGE MRI image contrast with support now for standard MPRAGE also (Version 2.1) This is OBSOLETE. Please use http://github.com/thalamicseg/hipsthomasdocker which is the latest and maintained © Copyright Manojkumar Saranathan 2021-2025

Disuse-Driven Plasticity in the Human Thalamus and Putamen


A simple wrapper for the U.S. Energy Information Administration API


Software Pipeline for Integrative Genetic Association Analysis: Probabilistic Assessment of Enrichment and Colocalization

Integrating molecular QTL data into genome-wide genetic association analysis: Probabilistic assessment of enrichment and colocalization

Brain Banks Spur New Frontiers in Neuropsychiatric Research and Strategies for Analysis and Validation

基因组蛋白质组与生物信息学报

Innovative strategies for annotating the “relationSNP” between variants and molecular phenotypes


The developmental impacts of natural selection on human pelvic morphology

Accounting for diverse evolutionary forces reveals mosaic patterns of selection on human preterm birth loci

Identifying functional regulatory mutation blocks by integrating genome sequencing and transcriptome data

MiRLog and dbmiR: Prioritization and functional annotation tools to study human microRNA sequence variants


pyebm - A toolbox for Event Based Models

Disease Progression Timeline Estimation for Alzheimer's Disease using Discriminative Event Based Modeling

The Alzheimer's Disease Prediction Of Longitudinal Evolution (TADPOLE) Challenge: Results after 1 Year Follow-up

A Discriminative Event Based Model for Alzheimer's Disease Progression Modeling

Data-Driven Disease Progression Modelling


Fair Statistical Learning Algorithms for Ethical Artificial Intelligence

On Fairness and Calibration

A Survey of Bias in Machine Learning Through the Prism of Statistical Parity

Confidence Intervals for Testing Disparate Impact in Fair Learning

A survey of bias in Machine Learning through the prism of Statistical Parity for the Adult Data Set

Explaining Machine Learning Models using Entropic Variable Projection


Helper scripts for processing and visualization of phylogenetics datasets

Phylogenomics reveals an extensive history of genome duplication in diatoms (Bacillariophyta)

Paralogs and off-target sequences improve phylogenetic resolution in a densely-sampled study of the breadfruit genus (Artocarpus, Moraceae)

Phylogenomics Yields New Insight Into Relationships Within Vernonieae (Asteraceae)

The Deep Evolutionary Relationships of the Morphologically Heterogeneous Nolinoideae (Asparagaceae) Revealed by Transcriptome Data

Species Delimitation and Conservation in Taxonomically Challenging Lineages: The Case of Two Clades of Capurodendron (Sapotaceae) in Madagascar

Building a Reference Transcriptome for the Hexaploid Hard Fescue Turfgrass (Festuca brevipila) Using a Combination of PacBio Isoseq and Illumina Sequencing

Reassessment of Annamocarya sinesis (Carya sinensis) Taxonomy through Concatenation and Coalescence Phylogenetic Analysis

Resolving the phylogeny of Thladiantha (Cucurbitaceae) with three different target capture pipelines

Genetic mechanism of body size variation in groupers: Insights from phylotranscriptomics


Official repository for paper "Versatile Offline Imitation from Observations and Examples via Regularized State-Occupancy Matching" (ICML 2022)

CEIL: Generalized Contextual Imitation Learning

MAHALO: Unifying Offline Reinforcement Learning and Imitation Learning from Observations

CLUE: Calibrated Latent Guidance for Offline Reinforcement Learning

SEABO: A Simple Search-Based Method for Offline Imitation Learning

A Simple Solution for Offline Imitation from Observations and Examples with Possibly Incomplete Trajectories

A Strong Baseline for Batch Imitation Learning


FogBus2: A Lightweight and Distributed Container-based Framework for Integration of IoT-enabled Systems with Edge and Cloud Computing

Deep Reinforcement Learning-based scheduling for optimizing system load and response time in edge and fog computing environments

Resource Management in Edge and Fog Computing using FogBus2 Framework

: A QoS-Aware Distributed Deep Reinforcement Learning Technique for Service Offloading in Fog Computing Environments


This repository contains the collection of UCI (real-life) datasets and Synthetic (artificial) datasets (with cluster labels and MATLAB files) ready to use with clustering algorithms.

FREDPC: A Feasible Residual Error-Based Density Peak Clustering Algorithm With the Fragment Merging Strategy

Grid-Based Clustering Using Boundary Detection

A novel density deviation multi-peaks automatic clustering algorithm


Manual extraction of JWST NIRSpec spectra

Early Results from GLASS-JWST. XIV. A Spectroscopically Confirmed Protocluster 650 Million Years after the Big Bang

The nature of an ultra-faint galaxy in the cosmic dark ages seen with JWST

Closing in on the sources of cosmic reionization: first results from the GLASS-JWST program

An Extremely Compact, Low-mass Galaxy on its Way to Quiescence at z = 5.2

Extreme N-emitters at high redshift: Possible signatures of supermassive stars and globular cluster or black hole formation in action

JWST NIRSpec spectroscopy of the triply-lensed z = 10.17 galaxy MACS0647-JD

Early Results from GLASS–JWST. XXI. Rapid Asembly of a Galaxy at z = 6.23 Revealed by Its C/O Abundance

Early Results from GLASS-JWST. XXII. Rest-frame UV–Optical Spectral Properties of Lyα Emitting Galaxies at 3 < z < 6

The Puzzling Properties of the MACS1149-JD1 Galaxy at z = 9.11

Enhanced Subkiloparsec-scale Star Formation: Results from a JWST Size Analysis of 341 Galaxies at 5 < z < 14


Transformer-based online speech recognition system with TensorFlow 2

Attention-based Audio-Visual Fusion for Robust Automatic Speech Recognition

International Conference on Multimodal Interfaces

Should we hard-code the recurrence concept or learn it instead ? Exploring the Transformer architecture for Audio-Visual Speech Recognition

Learning to Count Words in Fluent Speech enables Online Speech
  Recognition

AV Taris: Online Audio-Visual Speech Recognition


CoRelAy is a tool to compose small-scale (single-machine) analysis pipelines.

Explainable AI Methods - A Brief Overview

Finding and Removing Clever Hans: Using Explanation Methods to Debug and Improve Deep Models

Software for Dataset-wide XAI: From Local Explanations to Global Insights with Zennit, CoRelAy, and ViRelAy


C2TCP: A Flexible Cellular TCP to Meet Stringent Delay Requirements.

Classic Meets Modern: a Pragmatic Learning-Based Congestion Control for the Internet

SIGCOMM '20: PROCEEDINGS OF THE 2020 ANNUAL CONFERENCE OF THE ACM SPECIAL INTEREST GROUP ON DATA COMMUNICATION ON THE APPLICATIONS, TECHNOLOGIES, ARCHITECTURES, AND PROTOCOLS FOR COMPUTER COMMUNICATION

Cellular Controlled Delay TCP (C2TCP)


negate_sentence(A Python module that doesn't negate sentences.)

LogicBench: Towards Systematic Evaluation of Logical Reasoning Ability of Large Language Models

This is not correct! Negation-aware Evaluation of Language Generation Systems


Compilation of data from AR6 WG1


Multidocument Summarization for Literature Review Shared Task 2022

BERTScore: Evaluating Text Generation with BERT

MS2: Multi-Document Summarization of Medical Studies

Generating (Factual?) Narrative Summaries of RCTs: Experiments with Neural Multi-Document Summarization

Automated Metrics for Medical Multi-Document Summarization Disagree with Human Evaluations

Artificial Intelligence for Literature Reviews: Opportunities and
  Challenges

Overview of MSLR2022: A Shared Task on Multi-document Summarization for Literature Reviews

LED down the rabbit hole: exploring the potential of global attention for biomedical multi-document summarisation

An Extractive-Abstractive Approach for Multi-document Summarization of Scientific Articles for Literature Review