A series of MATLAB functions that utilizes TopoToolbox to analyze river longitudinal profiles

Short Communication: TopoToolbox 2 – MATLAB-based software for topographic analysis and modeling in Earth surface sciences

An integral approach to bedrock river profile analysis

Dynamic Reorganization of River Basins

River profile response to normal fault growth and linkage: an example from the Hellenic forearc of south-central Crete, Greece


Paddle detection to pytorch

SSD: Single Shot MultiBox Detector

Focal Loss for Dense Object Detection

YOLOv3: An Incremental Improvement

YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors

YOLOX: Exceeding YOLO Series in 2021

YOLOv6: A Single-Stage Object Detection Framework for Industrial Applications

BlazeFace: Sub-millisecond Neural Face Detection on Mobile GPUs

RTMDet: An Empirical Study of Designing Real-Time Object Detectors

PP-YOLOE: An evolved version of YOLO

YOLOv6 v3.0: A Full-Scale Reloading


[CCS'24] A dataset consists of 15,140 ChatGPT prompts from Reddit, Discord, websites, and open-source datasets (including 1,405 jailbreak prompts).

"Do Anything Now": Characterizing and Evaluating In-The-Wild Jailbreak Prompts on Large Language Models

TrustLLM: Trustworthiness in Large Language Models

Dr. Jekyll and Mr. Hyde: Two Faces of LLMs

SpeechGuard: Exploring the Adversarial Robustness of Multimodal Large
  Language Models


[ECCV 2020] QAConv: Interpretable and Generalizable Person Re-Identification with Query-Adaptive Convolution and Temporal Lifting, and [CVPR 2022] GS: Graph Sampling Based Deep Metric Learning

Interpretable and Generalizable Person Re-identification with Query-Adaptive Convolution and Temporal Lifting

Graph Sampling Based Deep Metric Learning for Generalizable Person Re-Identification

TransMatcher: Deep Image Matching Through Transformers for Generalizable Person Re-identification

Cloning Outfits from Real-World Images to 3D Characters for Generalizable Person Re-Identification

Is Synthetic Dataset Reliable for Benchmarking Generalizable Person Re-Identification?

TAL: Two-stream Adaptive Learning for Generalizable Person Re-identification


Creative Commons Attribution 4.0 International

Data and analysis of unequal representation and gender stereotypes in image search results for occupations

Unequal Representation and Gender Stereotypes in Image Search Results for Occupations

International Conference on Human Factors in Computing Systems

Implicit Diversity in Image Summarization

Mitigating Test-Time Bias for Fair Image Retrieval


Code for "Learning Deep Features in Instrumental Variable Regression" (https://arxiv.org/abs/2010.07154)

Instrumental Variables in Causal Inference and Machine Learning: A Survey

Learning Causal Models from Conditional Moment Restrictions by Importance Weighting


Visualizations based on best open science practices.

Raincloud plots: a multi-platform tool for robust data visualization

A randomised, double-blind, sham-controlled trial of deep brain stimulation of the bed nucleus of the stria terminalis for treatment-resistant obsessive-compulsive disorder

Complexity and 1/f slope jointly reflect brain states

Recognizing the Impact of COVID-19 on the Poor Alters Attitudes Towards Poverty and Inequality

Journal of experimental social psychology

Does sleep-dependent consolidation favour weak memories?

Cortex; a journal devoted to the study of the nervous system and behavior

Mnemonic construction and representation of temporal structure in the hippocampal formation

Testing the efficacy of three informational interventions for reducing misperceptions of the Black–White wealth gap

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

Longitudinal patterns of white matter fibre density and morphology in children are associated with age and pubertal stage

Emotional Metacognition: Stimulus Valence Modulates Cardiac Arousal and Metamemory

Anxiety-Related Frontocortical Activity Is Associated With Dampened Stressor Reactivity in the Real World


This repository contains the source code of our proposed multimodal image segmentation frameworks. The network architectures and training procedure are provided to reproduce the experimental results in our publications.

3D Segmentation with Exponential Logarithmic Loss for Highly Unbalanced Object Sizes

Medical Image Computing and Computer Assisted Intervention – MICCAI 2018

3D Segmentation with Fully Trainable Gabor Kernels and Pearson's Correlation Coefficient

FNOSeg3D: Resolution-Robust 3D Image Segmentation with Fourier Neural Operator

IEEE International Symposium on Biomedical Imaging


PyTorch Package For Quasimetric Learning

An Inductive Bias for Distances: Neural Nets that Respect the Triangle Inequality

On the Learning and Learnability of Quasimetrics

Improved Representation of Asymmetrical Distances with Interval Quasimetric Embeddings


Collection of android malware samples

Android Malware Detection Using Autoencoder

Using Deep Neural Network for Android Malware Detection

Malware Detection and Classification Using Latent Semantic Indexing

Journal of Advanced College of Engineering and Management


[ICML 2022 / ICLR 2024]  Source code for our papers  "Plug & Play Attacks: Towards Robust and Flexible Model Inversion Attacks" and "Be Careful What You Smooth For".

Be Careful What You Smooth For: Label Smoothing Can Be a Privacy Shield but Also a Catalyst for Model Inversion Attacks

Class Attribute Inference Attacks: Inferring Sensitive Class Information by Diffusion-Based Attribute Manipulations


Python packages for post-processing Einstein Toolkit simulation data

kuibit: Analyzing Einstein Toolkit simulations with Python

Jets from neutron-star merger remnants and massive blue kilonovae

GRMHD Simulations of Neutron-star Mergers with Weak Interactions: r-process Nucleosynthesis and Electromagnetic Signatures of Dynamical Ejecta

Short gamma-ray burst jet propagation in binary neutron star merger environments

Monthly notices of the Royal Astronomical Society

Jet-environment interplay in magnetized binary neutron star mergers


Tensorflow implementation of preconditioned stochastic gradient descent

Equilibrated adaptive learning rates for non-convex optimization

Preconditioned Stochastic Gradient Descent

IEEE transactions on neural networks and learning systems

Preconditioner on Matrix Lie Group for SGD

Black Box Lie Group Preconditioners for SGD

Online Second Order Methods for Non-Convex Stochastic Optimizations


The official repository of the Eesen project

EESEN: End-to-End Speech Recognition using Deep RNN Models and WFST-based Decoding

First-Pass Large Vocabulary Continuous Speech Recognition using Bi-Directional Recurrent DNNs

Improving LSTM-CTC based ASR performance in domains with limited training data


Collection of censorship blockpages as collected by various sources

ICLab: A Global, Longitudinal Internet Censorship Measurement Platform

Measuring and mitigating AS-level adversaries against Tor

Towards an Autonomous System Monitor for Mitigating Correlation Attacks in the Tor Network


S2-BNN: Bridging the Gap Between Self-Supervised Real and 1-bit Neural Networks via Guided Distribution Calibration (CVPR 2021)

Exploring Simple Siamese Representation Learning

Improved Baselines with Momentum Contrastive Learning


A fast implementation of the LA Cosmic algorithm

SkyMapper Southern Survey: First Data Release (DR1)

Publications of the Astronomical Society of Australia

The SED Machine: A Robotic Spectrograph for Fast Transient Classification

Publications of the Astronomical Society of the Pacific

Light echoes from the plateau in Eta Carinae’s Great Eruption reveal a two-stage shock-powered event

Exceptionally fast ejecta seen in light echoes of Eta Carinae's Great Eruption

Hyper Suprime-Cam Low Surface Brightness Galaxies. II. A Hubble Space Telescope Study of the Globular Cluster Systems of Ultradiffuse Galaxies in Groups*

New Modules for the SEDMachine to Remove Contaminations from Cosmic Rays and Non-target Light: byecr and contsep

Constraints on Cosmic-ray Acceleration Efficiency in Balmer Shocks of Two Young Type Ia Supernova Remnants in the Large Magellanic Cloud

Discovery of a Very Large (≈20 kpc) Galaxy at z = 3.72

Disintegration of Long-period Comet C/2019 Y4 (ATLAS). I. Hubble Space Telescope Observations

SkyMapper Southern Survey: Data release 4


Full ROS implementation of BKI with dynamic BKI and convolutional BKI

RELLIS-3D Dataset: Data, Benchmarks and Analysis

Convolutional Bayesian Kernel Inference for 3D Semantic Mapping

ConvBKI: Real-Time Probabilistic Semantic Mapping Network with Quantifiable Uncertainty


Euclidean Wasserstein-2 optimal transportation

Optimal transport mapping via input convex neural networks

Wasserstein-2 Generative Networks

Convex Potential Flows: Universal Probability Distributions with Optimal Transport and Convex Optimization

Do Neural Optimal Transport Solvers Work? A Continuous Wasserstein-2 Benchmark

Generative Modeling with Optimal Transport Maps

2-Wasserstein Approximation via Restricted Convex Potentials with Application to Improved Training for GANs

On amortizing convex conjugates for optimal transport

Self-Consistent Velocity Matching of Probability Flows


This repository contains all new resources that were created for the NAACL-2018 paper "Inducing a Lexicon of Abusive Words -- A Feature-Based Approach" by Michael Wiegand, Josef Ruppenhofer, Anna Schmidt and Clayton Greenberg.

Data Expansion using Back Translation and Paraphrasing for Hate Speech Detection

LTL-UDE at SemEval-2019 Task 6: BERT and Two-Vote Classification for Categorizing Offensiveness

North American Chapter of the Association for Computational Linguistics

Learning Representations for Detecting Abusive Language

minOffense: Inter-Agreement Hate Terms for Stable Rules, Concepts, Transitivities, and Lattices

International Conference on Data Science and Advanced Analytics


Official PyTorch code for "Out-of-distribution detection with denoising diffusion models"

Denoising diffusion models for out-of-distribution detection

Unsupervised 3D out-of-distribution detection with latent diffusion models

Histogram- and Diffusion-Based Medical Out-of-Distribution Detection


Data and Code Release for "On the Potential of Lexico-logical Alignments for Semantic Parsing to SQL Queries"

Awakening Latent Grounding from Pretrained Language Models for Semantic Parsing

Leveraging Explicit Lexico-logical Alignments in Text-to-SQL Parsing

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)


Anti-Backdoor learning (NeurIPS 2021)

Anti-Backdoor Learning: Training Clean Models on Poisoned Data

Narcissus: A Practical Clean-Label Backdoor Attack with Limited Information

Just How Toxic is Data Poisoning? A Unified Benchmark for Backdoor and Data Poisoning Attacks

Deep Feature Space Trojan Attack of Neural Networks by Controlled Detoxification

Backdoor Defense via Deconfounded Representation Learning

Trap and Replace: Defending Backdoor Attacks by Trapping Them into an Easy-to-Replace Subnetwork

Beating Backdoor Attack at Its Own Game

XGBD: Explanation-Guided Graph Backdoor Detection

Progressive Poisoned Data Isolation for Training-time Backdoor Defense

Fisher Information guided Purification against Backdoor Attacks


Some toy examples of score matching algorithms written in PyTorch

Sliced Score Matching: A Scalable Approach to Density and Score Estimation

How to Train Your Energy-Based Models

Deep Energy Estimator Networks


轻量化卷积神经网络实现（SqueezeNet/MobileNet/ShuffleNet/MnasNet）

MobileNetV2: Inverted Residuals and Linear Bottlenecks

ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices

SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB model size

ShuffleNet V2: Practical Guidelines for Efficient CNN Architecture Design


A Neural-Network-Based Convex Regularizer for Inverse Problems

Learning Weakly Convex Regularizers for Convergent Image-Reconstruction Algorithms

Accelerated Bayesian imaging by relaxed proximal-point Langevin sampling

Scalable Bayesian uncertainty quantification with data-driven priors for radio interferometric imaging


ASCEND Chinese-English code-switching dataset

ASCEND: A Spontaneous Chinese-English Dataset for Code-switching in Multi-turn Conversation

Adapting the adapters for code-switching in multilingual ASR

Improving Zero-Shot Chinese-English Code-Switching ASR with kNN-CTC and Gated Monolingual Datastores


Creative Commons Attribution Share Alike 4.0 International

Cyber Intelligence Ontology

Cyber Threat Intelligence Model: An Evaluation of Taxonomies, Sharing Standards, and Ontologies within Cyber Threat Intelligence

European Intelligence and Security Informatics Conference

The SEPSES Knowledge Graph: An Integrated Resource for Cybersecurity

A review of knowledge graph application scenarios in cyber security

Artificial Intelligence for Threat Anomaly Detection Using Graph Databases – A Semantic Outlook

Applying Artificial Intelligence in Cybersecurity Analytics and Cyber Threat Detection


Code for CVPR2022 paper "Not Just Selection, but Exploration: Online Class-Incremental Continual Learning via Dual View Consistency"

Online Prototype Learning for Online Continual Learning

Class-Adaptive Sampling Policy for Efficient Continual Learning


A home for audio ML in JAX. Has common features, learnable frontends, pretrained supervised and self-supervised models.

mixup: Beyond Empirical Risk Minimization

A ConvNet for the 2020s

SpecAugment: A Simple Data Augmentation Method for Automatic Speech Recognition

Contrastive Learning of General-Purpose Audio Representations

LEAF: A Learnable Frontend for Audio Classification

Adapting a ConvNeXt model to audio classification on AudioSet


Helpers for our open data


A succinct toolset for analyzing climate data. This project is a work-in-progress.


[MICCAI 2022] MaxStyle: Adversarial Style Composition for Robust Medical Image Segmentation

Virtual Adversarial Training: A Regularization Method for Supervised and Semi-Supervised Learning

Self-Challenging Improves Cross-Domain Generalization

Cooperative Training and Latent Space Data Augmentation for Robust Medical Image Segmentation


Proximal Policy Optimization Algorithms

Asynchronous Methods for Deep Reinforcement Learning

Trust Region Policy Optimization

Continuous Deep Q-Learning with Model-based Acceleration


This repository contains example of keras-tcn on easy way.

WaveNet: A Generative Model for Raw Audio

An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling

Probabilistic Forecasting with Temporal Convolutional Neural Network


code for NeurIPS_competition

EEGNet: a compact convolutional neural network for EEG-based brain–computer interfaces

Maximum Classifier Discrepancy for Unsupervised Domain Adaptation

A deep learning architecture for temporal sleep stage classification using multivariate and multimodal time series

Transfer Learning for Brain-Computer Interfaces: A Euclidean Space Data Alignment Approach

2021 BEETL Competition: Advancing Transfer Learning for Subject Independence & Heterogenous EEG Data Sets


MOMENTA: A Multimodal Framework for Detecting Harmful Memes and Their Targets

Pro-Cap: Leveraging a Frozen Vision-Language Model for Hateful Meme Detection

Zero shot VLMs for hate meme detection: Are we there yet?


Keypoint-Guided Optimal Transport (NeurIPS 2022)

Keypoint-Guided Optimal Transport with Applications in Heterogeneous Domain Adaptation

Keypoint-Guided Optimal Transport

Semi-supervised Learning of Pushforwards For Domain Translation & Adaptation


Code for "Counterfactual Off-Policy Evaluation with Gumbel-Max Structural Causal Models" (ICML 2019)

A Survey on Causal Reinforcement Learning

Counterfactually Guided Off-policy Transfer in Clinical Settings

Delphic Offline Reinforcement Learning under Nonidentifiable Hidden Confounding


This repository tests various recurrent neural network architectures on baseline datasets SeqMNIST and pMNIST.

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

Independently Recurrent Neural Network (IndRNN): Building A Longer and Deeper RNN

A Simple Way to Initialize Recurrent Networks of Rectified Linear Units

Capacity and Trainability in Recurrent Neural Networks


scATAC-seq data analysis tools and papers

Comprehensive integration of single cell data

Fast, sensitive, and accurate integration of single cell data with Harmony

chromVAR: inferring transcription-factor-associated accessibility from single-cell epigenomic data

Single-cell chromatin state analysis with Signac

ArchR is a scalable software package for integrative single-cell chromatin accessibility analysis

A Single-Cell Atlas of In Vivo Mammalian Chromatin Accessibility

Cicero Predicts cis-Regulatory DNA Interactions from Single-Cell Chromatin Accessibility Data

Comprehensive analysis of single cell ATAC-seq data with SnapATAC

A single-cell atlas of chromatin accessibility in the human genome

Assessment of computational methods for the analysis of single-cell ATAC-seq data


Code package to calculate and use the gradient system impulse response function

Gradient system characterization by impulse response measurements with a dynamic field camera

Image reconstruction using a gradient impulse response model for trajectory prediction

Gradient and shim pre-emphasis by inversion of a linear time-invariant system model

Feasibility of spiral fMRI based on an LTI gradient model


WildFish: A Large Benchmark for Fish Recognition in the Wild

PROCEEDINGS OF THE 2018 ACM MULTIMEDIA CONFERENCE (MM'18)

Wildfish++: A Comprehensive Fish Benchmark for Multimedia Research

Applications of Deep Learning in Fish Habitat Monitoring: A Tutorial and Survey


JavaScript MOOC simulations for the edX class Quantum Mechanics for Everyone provided by Georgetown University

Teaching quantum mechanics to over 14,000 nonscientists

Incorporating the Stern-Gerlach delayed-choice quantum eraser into the undergraduate quantum mechanics curriculum

Should we trade off higher-level mathematics for abstraction to improve student understanding of quantum mechanics?


A false-positive filter for variants called from massively parallel sequencing

Spatial intratumoral heterogeneity and temporal clonal evolution in esophageal squamous cell carcinoma

Combination of Flow Cytometry and Functional Imaging for Monitoring of Residual Disease in Myeloma

Multi-region sequencing unveils novel actionable targets and spatial heterogeneity in esophageal squamous cell carcinoma

The molecular make up of smoldering myeloma highlights the evolutionary pathways leading to multiple myeloma

The spatio-temporal evolution of multiple myeloma from baseline to relapse-refractory states

Exome scale map of genetic alterations promoting metastasis in colorectal cancer

The genomic and epigenomic evolutionary history of papillary renal cell carcinomas

ASXL2 regulates hematopoiesis in mice and its deficiency promotes myeloid expansion

Poor overall survival in hyperhaploid multiple myeloma is defined by double-hit bi-allelic inactivation of TP53

Evolutionary Trajectories and Genomic Divergence in Localized Breast Cancers after Ipsilateral Breast Tumor Recurrence


Code and documentation supporting Markello & Misic, 2021, "Comparing spatial null models for brain maps" (NeuroImage)

Time-resolved structure-function coupling in brain networks

Hierarchical fluctuation shapes a dynamic flow linked to states of consciousness


Repository for research works and resources related to model reprogramming <https://arxiv.org/abs/2202.10629>

Model Reprogramming: Resource-Efficient Cross-Domain Machine Learning

Adversarial Reprogramming of Pretrained Neural Networks for Fraud Detection

PROCEEDINGS OF THE 30TH ACM INTERNATIONAL CONFERENCE ON INFORMATION & KNOWLEDGE MANAGEMENT, CIKM 2021

An Improved (Adversarial) Reprogramming Technique for Neural Networks

Reprogramming GANs via Input Noise Design

MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES, ECML PKDD 2020, PT II


A basic procedural modelling engine for generating buildings and other features in CityGML

GENERATION OF MULTI-LOD 3D CITY MODELS IN CITYGML WITH THE PROCEDURAL MODELLING ENGINE RANDOM3DCITY

International Conference Smart Data and Smart Cities

Reference study of IFC software support: The GeoBIM benchmark 2019—Part I

AN IMPROVED LOD FRAMEWORK FOR THE TERRAINS IN 3D CITY MODELS

ISPRS annals of the photogrammetry, remote sensing and spatial information sciences


To reveal the cellular heterogeneity within flow cytometry data, clustering and pseudotime analysis can be performed. Here, we demonstrate how to import (clustered) data, how to apply clustering and dimensionality reduction, and how to apply pseudotime analysis by Slingshot.

Murine Bone Marrow Erythroid Cells Have Two Branches of Differentiation Defined by the Presence of CD45 and a Different Immune Transcriptome Than Fetal Liver Erythroid Cells

International journal of molecular sciences

Exploring TCR-like CAR-Engineered Lymphocyte Cytotoxicity against MAGE-A4

TCR-Engineered Lymphocytes Targeting NY-ESO-1: In Vitro Assessment of Cytotoxicity against Tumors


This is the official implementation for COSMOS: a method to learn Pareto fronts that scales to large datasets and deep models.

Scalable Pareto Front Approximation for Deep Multi-Objective Learning

PMGDA: A Preference-based Multiple Gradient Descent Algorithm

Multi-Task Learning with Multi-Task Optimization


Colour transfer algorithms for grading the colours of an image

Robust Registration of Gaussian Mixtures for Colour Transfer

Patch based Colour Transfer using SIFT Flow

Iterative Nadaraya-Watson Distribution Transfer for Colour Grading


Robust Asymmetric Loss for Multi-Label Long-Tailed Learning

Focal Loss for Dense Object Detection

Asymmetric Loss For Multi-Label Classification

Simple and Robust Loss Design for Multi-Label Learning with Missing Labels


Data and code used in our NAACL'19 paper "Selective Attention for Context-aware Neural Machine Translation"

A Simple and Effective Unified Encoder for Document-Level Machine Translation

Meeting of the Association for Computational Linguistics

Encouraging Lexical Translation Consistency for Document-Level Neural Machine Translation

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing

P-Transformer: Towards Better Document-to-Document Neural Machine Translation

Document-Level Neural Machine Translation Using BERT as Context Encoder

International Joint Conference on Natural Language Processing

A Case Study on Context Encoding in Multi-Encoder based Document-Level Neural Machine Translation


Code for NAACL 2022 paper "Automatic Multi-Label Prompting: Simple and Interpretable Few-Shot Classification"

Making Pre-trained Language Models Better Few-shot Learners

Automatically Identifying Words That Can Serve as Labels for Few-Shot Text Classification


[ICLR 2022] Code for Graph-less Neural Networks: Teaching Old MLPs New Tricks via Distillation (GLNN)

Demystifying Structural Disparity in Graph Neural Networks: Can One Size Fit All?

Train Your Own GNN Teacher: Graph-Aware Distillation on Textual Graphs


Technical Note: Flow velocity and discharge measurement in rivers using terrestrial and unmanned-aerial-vehicle imagery

A comparison of tools and techniques for stabilising unmanned aerial system (UAS) imagery for surface flow observations

A comparison of tools and techniques for stabilising UAS imagery for surface flow observations


Online Prototype Learning for Online Continual Learning (ICCV 2023)

Orchestrate Latent Expertise: Advancing Online Continual Learning with
  Multi-Level Supervision and Reverse Self-Distillation


Bayesian active learning with EPIG data acquisition

Prediction-Oriented Bayesian Active Learning

Advancing Deep Active Learning & Data Subset Selection: Unifying Principles with Information-Theory Intuitions


MATLAB codes for the 2018 arXiv paper discussing synthesis of logical Clifford operators for stabilizer codes.

Synthesis of Logical Clifford Operators via Symplectic Geometry

International Symposium on Information Theory

Logical Clifford Synthesis for Stabilizer Codes

IEEE Transactions on Quantum Engineering

Kerdock Codes Determine Unitary 2-Designs

Classical Coding Approaches to Quantum Applications


好的CADD教程，资源总结

Highly accurate protein structure prediction with AlphaFold

Open Babel: An open chemical toolbox

OpenMM 7: Rapid development of high performance algorithms for molecular dynamics

DOCK 6: Impact of new features and current docking performance

Flexible Cdocker: Development and Application of a Pseudo-Explicit Structure-Based Docking Method within Charmm

CRDS: Consensus Reverse Docking System for target fishing


Awesome Explainable AI (XAI) and Interpretable ML Papers and Resources

"Why Should I Trust You?": Explaining the Predictions of Any Classifier

On Pixel-Wise Explanations for Non-Linear Classifier Decisions by Layer-Wise Relevance Propagation

Peeking Inside the Black Box: Visualizing Statistical Learning With Plots of Individual Conditional Expectation

Visualizing the Effects of Predictor Variables in Black Box Supervised Learning Models

Distribution-Free Predictive Inference for Regression

The (Un)reliability of saliency methods

Accurate intelligible models with pairwise interactions

Interacting with Predictions: Visual Inspection of Black-box Machine Learning Models

International Conference on Human Factors in Computing Systems

Auditing Black-box Models for Indirect Influence

Interpreting tree ensembles with inTrees


Dataset for medical question summarization introduced in the ACL 2019 paper "On the Summarization of Consumer Health Questions" (A. Ben Abacha & D. Demner-Fushman)

Biomedical Question Answering: A Survey of Approaches and Challenges

Reinforcement Learning for Abstractive Question Summarization with Question-aware Semantic Rewards

Medical Question Summarization with Entity-driven Contrastive Learning

A Survey for Biomedical Text Summarization: From Pre-trained to Large Language Models


Code for ResDMD: data-driven spectral properties of Koopman Operators

Rigorous data-driven computation of spectral properties of Koopman operators for dynamical systems

Residual Dynamic Mode Decomposition: Robust and verified Koopmanism

Beyond expectations: Residual Dynamic Mode Decomposition and Variance for Stochastic Dynamical Systems

Another look at Residual Dynamic Mode Decomposition in the regime of
  fewer Snapshots than Dictionary Size


3D Monte Carlo Radiative Transfer for exoplanet atmospheres using GPUs.

Early Release Science of the Exoplanet WASP-39b with JWST NIRSpec G395H

Photochemically-produced SO_2 in the atmosphere of WASP-39b

Sulfur dioxide in the mid-infrared transmission spectrum of WASP-39b

Modelling the effect of 3D temperature and chemistry on the cross-correlation signal of transiting ultra-hot Jupiters: A study of 5 chemical species on WASP-76b

Radiative transfer and inversion codes for characterizing planetary atmospheres: an overview

Frontiers in Astronomy and Space Sciences


序列模式挖掘相关研究

NetNMSP: Nonoverlapping maximal sequential pattern mining

Applied intelligence (Dordrecht, Netherlands)

Top-k Self-Adaptive Contrast Sequential Pattern Mining

NTP-Miner: Nonoverlapping Three-Way Sequential Pattern Mining

ACM Transactions on Knowledge Discovery from Data

OWSP-Miner: Self-adaptive One-off Weak-gap Strong Pattern Mining

ACM Transactions on Management Information Systems

OPP-Miner: Order-Preserving Sequential Pattern Mining for Time Series

Maximal co-occurrence nonoverlapping sequential rule mining

Repetitive nonoverlapping sequential pattern mining

OPP-Miner: Order-preserving sequential pattern mining


Documentation for Pan-European Privacy-Preserving Proximity Tracing (PEPP-PT)

Demystifying COVID-19 digital contact tracing: A survey on frameworks and mobile apps

Early Perceptions of COVID-19 Contact Tracing Apps in German-Speaking Countries: Comparative Mixed Methods Study (Preprint)

Mind the GAP: Security & Privacy Risks of Contact Tracing Apps

Mediated trust: A theoretical framework to address the trustworthiness of technological trust mediators

An Empirical Assessment of Global COVID-19 Contact Tracing Applications

What makes people install a COVID-19 contact-tracing app? Understanding the influence of app design and individual difference on contact-tracing app adoption intention

Survey of Decentralized Solutions with Mobile Devices for User Location Tracking, Proximity Detection, and Contact Tracing in the COVID-19 Era

International Conference on Data Technologies and Applications

Privacy-preserving COVID-19 contact tracing using blockchain

Covid Notions: Towards Formal Definitions -- and Documented Understanding -- of Privacy Goals and Claimed Protection in Proximity-Tracing Services

Challenges for Nontechnical Implementation of Digital Proximity Tracing During the COVID-19 Pandemic: Media Analysis of the SwissCovid App


Connectionist Temporal Classification (CTC) decoder with dictionary and language model.

A Comprehensive Handwritten Paragraph Text Recognition System: LexiconNet

A Lexicon and Depth-wise Separable Convolution Based Handwritten Text Recognition System

Training for Speech Recognition on Coprocessors

Lexicon and Attention based Handwritten Text Recognition System


A paper list of pre-trained language models (PLMs).

On the Dangers of Stochastic Parrots

Proceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency

Pre-trained models for natural language processing: A survey

NAS-BERT: Task-Agnostic and Adaptive-Size BERT Compression with Neural Architecture Search

Natural Language Understanding with Privacy-Preserving BERT

PROCEEDINGS OF THE 30TH ACM INTERNATIONAL CONFERENCE ON INFORMATION & KNOWLEDGE MANAGEMENT, CIKM 2021

M6: Multi-Modality-to-Multi-Modality Multitask Mega-transformer for Unified Pretraining

GilBERT: Generative Vision-Language Pre-Training for Image-Text Retrieval

SIGIR '21 - PROCEEDINGS OF THE 44TH INTERNATIONAL ACM SIGIR CONFERENCE ON RESEARCH AND DEVELOPMENT IN INFORMATION RETRIEVAL

HORNET: Enriching Pre-trained Language Representations with Heterogeneous Knowledge Sources

Distilling Knowledge from BERT into Simple Fully Connected Neural Networks for Efficient Vertical Retrieval


[NeurIPS'20 Oral] DVERGE: Diversifying Vulnerabilities for Enhanced Robust Generation of Ensembles

Improving Adversarial Robustness via Promoting Ensemble Diversity

Ensemble-in-One: Ensemble Learning within Random Gated Networks for Enhanced Adversarial Robustness

THIRTY-SEVENTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, VOL 37 NO 12

Adversarial attacks for mixtures of classifiers


A (continuously updated) collection of references to Hi-C data. Predominantly human/mouse Hi-C data, with replicates.

A 3D Map of the Human Genome at Kilobase Resolution Reveals Principles of Chromatin Looping

Topological domains in mammalian genomes identified by analysis of chromatin interactions

Cohesin Loss Eliminates All Loop Domains

Chromatin extrusion explains key features of loop and domain formation in wild-type and engineered genomes

A high-resolution map of the three-dimensional chromatin interactome in human cells

Multiscale 3D Genome Rewiring during Mouse Neural Development

Two independent modes of chromatin organization revealed by cohesin removal

Organization of the Mitotic Chromosome

Lineage-Specific Genome Architecture Links Enhancers and Non-coding Disease Variants to Target Gene Promoters

Cohesin and CTCF differentially affect chromatin architecture and gene expression in human cells

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


Intrusion Detection Using Mouse Dynamics

A Review of Insider Threat Detection Approaches With IoT Perspective

Intelligent Techniques for Detecting Network Attacks: Review and Research Directions

Machine and Deep Learning Applications to Mouse Dynamics for Continuous User Authentication

Machine Learning and Knowledge Extraction

Mouse Dynamics Behavioral Biometrics: A Survey

ReMouse Dataset: On the Efficacy of Measuring the Similarity of Human-Generated Trajectories for the Detection of Session-Replay Bots

A Generic AI-Based Technique for Assessing Student Performance in Conducting Online Virtual and Remote Controlled Laboratories

Design and Implementation of Continuous Authentication Mechanism Based on Multimodal Fusion Mechanism

User Authentication and Identity Inconsistency Detection via Mouse-trajectory Similarity Measurement


Trim, Align to genome, Deduplicate, Realign WGS sequencing samples

Locally Adaptive Inversions Modulate Genetic Variation at Different Geographic Scales in a Seaweed Fly

Genome assembly, structural variants, and genetic differentiation between lake whitefish young species pairs (Coregonus sp.) with long and short reads

Chromosome-level assembly reveals a putative Y-autosomal fusion in the sex determination system of the Greenland Halibut (Reinhardtius hippoglossoides)

Epigenetic and Genetic Differentiation Between Coregonus Species Pairs.


This is the source code for Learning Deep Kernels for Non-Parametric Two-Sample Tests (ICML2020).

Two-sample Test with Kernel Projected Wasserstein Distance

E-Valuating Classifier Two-Sample Tests

A Learning Based Hypothesis Test for Harmful Covariate Shift

Detecting Adversarial Data by Probing Multiple Perturbations Using Expected Perturbation Score


Pre-trained models, data, code & materials from the paper "ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness" (ICLR 2019 Oral)

Generalisation in humans and deep neural networks

Measuring Robustness to Natural Distribution Shifts in Image Classification

Improving robustness against common corruptions by covariate shift adaptation

The Origins and Prevalence of Texture Bias in Convolutional Neural Networks

A simple way to make neural networks robust against diverse image corruptions

Discrete Representations Strengthen Vision Transformer Robustness

Deep learning models fail to capture the configural nature of human shape perception

Making Sense of CNNs: Interpreting Deep Representations & Their Invariances with INNs

Multimodal neural networks better explain multivoxel patterns in the hippocampus


AdCo: Adversarial Contrast for Efficient Learning of Unsupervised Representations from Self-Trained Negative Adversaries

Can contrastive learning avoid shortcut solutions?

Adversarial Pretraining of Self-Supervised Deep Networks: Past, Present and Future


Implementation of the Remez algorithm

Parallel software for lattice N=4 supersymmetric Yang-Mills theory

Monte Carlo studies of the spontaneous rotational symmetry breaking in dimensionally reduced super Yang-Mills models

Review of lattice supersymmetry and gauge-gravity duality

International Journal of Modern Physics A

Critical flavor number in the 2 + 1 D Thirring model

Introduction to Computational Physics and Monte Carlo Simulations of Matrix Field Theory

Restoration of supersymmetry in two-dimensional SYM with sixteen supercharges on the lattice

Critical Behaviour in the Single Flavor Thirring Model in 2+1d

Markov Chain Monte Carlo for Dummies

Lattice Analysis of SU(2) with 1 Adjoint Dirac Flavor


Code to run the ASEBO algorithm from the paper: From Complexity to Simplicity: Adaptive ES-Active Subspaces for Blackbox Optimization... please get in touch if interested!!

A Novel Evolution Strategy with Directional Gaussian Smoothing for Blackbox Optimization

Accelerating Reinforcement Learning with a Directional-Gaussian-Smoothing Evolution Strategy

AdaDGS: An adaptive black-box optimization method with a nonlocal directional Gaussian smoothing gradient


Axiomatic Attribution for Deep Networks

Sparse Feature Circuits: Discovering and Editing Interpretable Causal
  Graphs in Language Models

Attribution Patching Outperforms Automated Circuit Discovery

Have Faith in Faithfulness: Going Beyond Circuit Overlap When Finding
  Model Mechanisms


MRAugment: physics-aware data augmentation for deep learning based accelerated MRI reconstruction

fastMRI: An Open Dataset and Benchmarks for Accelerated MRI

End-to-End Variational Networks for Accelerated MRI Reconstruction

Data augmentation for deep learning based accelerated MRI reconstruction with limited data


a large-scale high-quality medical dialogue dataset

MedDG: An Entity-Centric Medical Consultation Dataset for Entity-Aware Medical Dialogue Generation

Medical Dialogue Response Generation with Pivotal Information Recalling

Reasoning Like a Doctor: Improving Medical Dialogue Systems via Diagnostic Reasoning Process Alignment

BP4ER: Bootstrap Prompting for Explicit Reasoning in Medical Dialogue
  Generation


Realtime, Accurate Background Changer, Portrait Segmentation, Portrait Matting, Background Removal for Android

U-Net: Convolutional Networks for Biomedical Image Segmentation

Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation

Robust Graph Learning From Noisy Data

Adaptive-Rate Sparse Signal Reconstruction With Application in Compressive Background Subtraction

UniRef++: Segment Every Reference Object in Spatial and Temporal Spaces


Larger resolution face masked, weirdly warped, deepfake,

Celeb-DF: A Large-scale Challenging Dataset for DeepFake Forensics

Deep Learning for Deepfakes Creation and Detection: A Survey

Deepfakes generation and detection: state-of-the-art, open challenges, countermeasures, and way forward

Emotions Don't Lie: An Audio-Visual Deepfake Detection Method Using Affective Cues

DeepFake Detection: Current Challenges and Next Steps

Combining EfficientNet and Vision Transformers for Video Deepfake Detection

Protecting Celebrities from DeepFake with Identity Consistency Transformer

Towards Universal Fake Image Detectors that Generalize Across Generative Models

Deepfake Detection using Spatiotemporal Convolutional Networks

Deepfake Videos in the Wild: Analysis and Detection


On Filter Generalization for Music Bandwidth Extension Using Deep Neural Networks

IEEE Journal on Selected Topics in Signal Processing

BEHM-GAN: Bandwidth Extension of Historical Music Using Generative Adversarial Networks

Phase Repair for Time-Domain Convolutional Neural Networks in Music Super-Resolution


2.86% and 15.85% on CIFAR-10 and CIFAR-100

Decoupled Weight Decay Regularization

Fixing Weight Decay Regularization in Adam

Shake-Shake regularization

Between-class Learning for Image Classification

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

Shakedrop Regularization for Deep Residual Learning

Normalization Before Shaking Toward Learning Symmetrically Distributed Representation Without Margin in Speech Emotion Recognition


Simple yet effective targeted transferable attack (NeurIPS 2021)

On Success and Simplicity: A Second Look at Transferable Targeted Attacks

On Generating Transferable Targeted Perturbations

Boosting the Transferability of Adversarial Attacks with Reverse Adversarial Perturbation

Logit Margin Matters: Improving Transferable Targeted Adversarial Attack by Logit Calibration


Code for "SCHA-VAE: Hierarchical Context Aggregation for Few-Shot Generation" @ ICML 2022

Diversity vs. Recognizability: Human-like generalization in one-shot generative models

Hierarchical Few-Shot Generative Models


Code and reuslts accompanying the NeurIPS 2022 paper with the title SPD domain-specific batch normalization to crack interpretable unsupervised domain adaptation in EEG

A Lie Group Approach to Riemannian Batch Normalization

Riemannian Multinomial Logistics Regression for SPD Neural Networks


Classification of Alzheimer's disease status with convolutional neural networks.

Convolutional Neural Networks for Classification of Alzheimer's Disease: Overview and Reproducible Evaluation

Clinica: an open source software platform for reproducible clinical neuroscience studies

Automatic quality control of brain T1-weighted magnetic resonance images for a clinical data warehouse


Library to perform image and video self-supervised learning.

Similarity Contrastive Estimation for Self-Supervised Soft Contrastive Learning

COMEDIAN: Self-Supervised Learning and Knowledge Distillation for Action Spotting using Transformers

Similarity contrastive estimation for image and video soft contrastive self-supervised learning


StePar is an automatic code used to infer stellar atmospheric parameters using the EW method.

ESPRESSO high-resolution transmission spectroscopy of WASP-76 b

The atmosphere of HD 209458b seen with ESPRESSO

SteParSyn: A Bayesian code to infer stellar atmospheric parameters using spectral synthesis

Stellar atmospheric parameters of FGK-type stars from high-resolution optical and near-infrared CARMENES spectra

Monthly Notices of the Royal Astronomical Society

Photometric Calibrations of M-dwarf Metallicity with Markov Chain Monte Carlo and Bayesian Inference

Calibrating the metallicity of M dwarfs in wide physical binaries with F-, G-, and K-primaries – II: carbon, oxygen, and odd-Z iron-peak abundances of the primary stars


Code for the ACL 2017 paper "Get To The Point: Summarization with Pointer-Generator Networks" (Python3)

Adversarial Over-Sensitivity and Over-Stability Strategies for Dialogue Models

MeetSum: Transforming Meeting Transcript Summarization using Transformers!


Python library for Recurrent Gaussian Processes

Recurrent Gaussian Processes

Introducing Probabilistic Bézier Curves for N-Step Sequence Prediction

THIRTY-FOURTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, THE THIRTY-SECOND INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE AND THE TENTH AAAI SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE


Built a sentiment analysis model to predict the sentiment of a Financial News article. A comparative study of different optimizers used for training was done.

The Marginal Value of Adaptive Gradient Methods in Machine Learning

FinBERT: Financial Sentiment Analysis with Pre-trained Language Models

On Empirical Comparisons of Optimizers for Deep Learning

Dissecting Adam: The Sign, Magnitude and Variance of Stochastic Gradients


FigurA11y: AI Assistance for Writing Scientific Alt Text

Proceedings of the 29th International Conference on Intelligent User Interfaces

The concept of decentralization through time and disciplines: a quantitative exploration

The dynamics of higher-order novelties

Oil & Water? Diffusion of AI Within and Across Scientific Fields


SAnDReS (Statistical Analysis of Docking Results and Scoring functions) is a free and open-source computational environment for the development of machine-learning models for the prediction of ligand-binding affinity. We developed SAnDReS using Python programming language, and SciPy, NumPy, scikit-learn, and Matplotlib libraries as a computational

Molegro Virtual Docker for Docking

Methods in molecular biology (Clifton, N.J.)

A brief review of protein–ligand interaction prediction

Computational and structural biotechnology journal

The Impact of Crystallographic Data for the Development of Machine Learning Models to Predict Protein-Ligand Binding Affinity

SAnDReS: A Computational Tool for Docking


Unofficial JAX implementations of deep learning research papers

Squeeze-and-Excitation Networks

Swin Transformer: Hierarchical Vision Transformer using Shifted Windows

Xception: Deep Learning with Depthwise Separable Convolutions

Masked Autoencoders Are Scalable Vision Learners

A ConvNet for the 2020s

SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers

Pyramid Vision Transformer: A Versatile Backbone for Dense Prediction without Convolutions

Deep Networks with Stochastic Depth

MLP-Mixer: An all-MLP Architecture for Vision

Going deeper with Image Transformers


Image colorization with generative adversarial networks on the CIFAR10 dataset.

Spectral Normalization for Generative Adversarial Networks

An Attack on InstaHide: Is Private Learning Possible with Instance Encoding?


Adapting Pretrained Language Models for Solving Tabular Prediction Problems in the Electronic Health Record

MementoML: Performance of selected machine learning algorithm configurations on OpenML100 datasets

Consolidated learning -- a domain-specific model-free optimization strategy with examples for XGBoost and MIMIC-IV


DAPS3D: Domain Adaptive Projective Segmentation of 3D LiDAR Point Clouds

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


Code for ICML 2019 paper "Simple Black-box Adversarial Attacks"

Simple Black-box Adversarial Attacks

Projection & Probability-Driven Black-Box Attack

On the Effectiveness of Small Input Noise for Defending Against Query-based Black-Box Attacks

Unraveling Attacks in Machine Learning-based IoT Ecosystems: A Survey and the Open Libraries Behind Them

SOAR: Second-Order Adversarial Regularization


An implementation of  "Community Preserving Network Embedding" (AAAI 2017)

Community Preserving Network Embedding

THIRTY-FIRST AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE

Graph-based Semi-supervised Learning: A Comprehensive Review

LNEMLC: Label Network Embeddings for Multi-Label Classification


Official implementation of SPTS: Single-Point Text Spotting (ACM MM 2022 Oral)

SPTS: Single-Point Text Spotting

SPTS v2: Single-Point Scene Text Spotting

ODM: A Text-Image Further Alignment Pre-training Approach for Scene Text Detection and Spotting


Blockchain Activities of Amrita TIFAC Cyber

Survey of consensus protocols on blockchain applications

International Conference on Advanced Computing

Redactable Blockchain using Enhanced Chameleon Hash Function

Blockchain for the Internet of Vehicles

Communications in computer and information science

Secure Digital Service Payments using Zero Knowledge Proof in Distributed Network

A Study on the Corda and Ripple Blockchain Platforms

Advances in intelligent systems and computing

Blockchain Framework for Social Media DRM Based on Secret Sharing

Smart innovation, systems and technologies

Securing Firmware in Internet of Things using Blockchain

Blockchain based Smart Contracts in Automation of Shipping Ports

PROCEEDINGS OF THE 6TH INTERNATIONAL CONFERENCE ON INVENTIVE COMPUTATION TECHNOLOGIES (ICICT 2021)

BVD - A Blockchain Based Vehicle Database System

International Symposium on Security in Computing and Communications

Fraud Detection in Medical Insurance Claim with Privacy Preserving Data Publishing in TLS-N Using Blockchain


A incomplete survey for Split Learning (comprehensive enough) and Federated Learning (only most representative works)

Model Inversion Attacks that Exploit Confidence Information and Basic Countermeasures

Conference on Computer and Communications Security

Deep Leakage from Gradients

Model inversion attacks against collaborative inference

Asia-Pacific Computer Systems Architecture Conference

Unleashing the Tiger: Inference Attacks on Split Learning

Can We Use Split Learning on 1D CNN Models for Privacy Preserving Training?

FedBERT: When Federated Learning Meets Pre-training

ACM Transactions on Intelligent Systems and Technology

Advancements of federated learning towards privacy preservation: from federated learning to split learning

PrivColl: Practical Privacy-Preserving Collaborative Machine Learning

Combining split and federated architectures for efficiency and privacy in deep learning

Conference on Emerging Network Experiment and Technology

SplitEasy: A Practical Approach for Training ML models on Mobile Devices

Workshop on Mobile Computing Systems and Applications


RNA structure probing and post-transcriptional modifications mapping high-throughput data analysis

Genome-wide mapping of therapeutically-relevant SARS-CoV-2 RNA structures

SHAPE-guided RNA structure homology search and motif discovery


Code for our EACL-2021 paper "Generating Syntactically Controlled Paraphrases without Using Annotated Parallel Pairs".

ParaAMR: A Large-Scale Syntactically Diverse Paraphrase Dataset by AMR Back-Translation

Unsupervised Syntactically Controlled Paraphrase Generation with Abstract Meaning Representations

Exploiting Inductive Bias in Transformers for Unsupervised Disentanglement of Syntax and Semantics with VAEs


Source code from the CIKM 2019 article "Gravity-Inspired Graph Autoencoders for Directed Link Prediction" by G. Salha, S. Limnios, R. Hennequin, V.A. Tran and M. Vazirgiannis

Variational Graph Auto-Encoders

Directed Graph Auto-Encoders

Adversarial Permutation Guided Node Representations for Link Prediction


Use efficientdet - Python version to realize intelligent retail model training, provide data sets and trained model files ~ welcome star使用Efficientdet -pytorch版实现智能零售模型训练，提供数据集与训练好的模型文件~欢迎star

Feature Pyramid Networks for Object Detection

Path Aggregation Network for Instance Segmentation

Libra R-CNN: Towards Balanced Learning for Object Detection

M2Det: A Single-Shot Object Detector based on Multi-Level Feature Pyramid Network


Preparing for the Unknown: Learning a Universal Policy with Online System Identification

Learning Fast Adaptation With Meta Strategy Optimization

Policy Transfer with Strategy Optimization

Uncertainty Aware System Identification with Universal Policies

Fast Model-based Policy Search for Universal Policy Networks


N24News: A New Dataset for Multimodal News Classification

Multi-modal Misinformation Detection: Approaches, Challenges and Opportunities

UniS-MMC: Multimodal Classification via Unimodality-supervised Multimodal Contrastive Learning


A Python 3 package for learning Bayesian Networks (DAGs) from data. Official implementation of the paper "DAGMA: Learning DAGs via M-matrices and a Log-Determinant Acyclicity Characterization"

DAGs with NO TEARS: Continuous Optimization for Structure Learning

Stable Differentiable Causal Discovery

Learning DAGs from Data with Few Root Causes

Applying causal discovery to single-cell analyses using CausalCell

CoLiDE: Concomitant Linear DAG Estimation

Dagma-DCE: Interpretable, Non-Parametric Differentiable Causal Discovery

Better Simulations for Validating Causal Discovery with the DAG-Adaptation of the Onion Method


Imputation of single cell RNA-sequencing data with autoencoder

Imputation of single-cell gene expression with an autoencoder neural network

Application of Deep Learning on Single-cell RNA Sequencing Data Analysis: A Review

基因组蛋白质组与生物信息学报

Imputation Methods for scRNA Sequencing Data

An Overview of Algorithms and Associated Applications for Single Cell RNA-Seq Data Imputation


First-order logic theorem prover supporting unification with approximate vector similarity

End-to-End Differentiable Proving

Braid: Weaving Symbolic and Neural Knowledge into Coherent Logical Explanations

Neuro-symbolic Commonsense Social Reasoning


Module for modeling gravitational lensing systems in which the data are not images but interferometric visibilities.

ALMA IMAGING AND GRAVITATIONAL LENS MODELS OF SOUTH POLE TELESCOPE—SELECTED DUSTY, STAR-FORMING GALAXIES AT HIGH REDSHIFTS

Galaxy growth in a massive halo in the first billion years of cosmic history

PyAutoLens: Open-Source Strong Gravitational Lensing

ALMA [N ıı] 205 μm Imaging Spectroscopy of the Lensed
  Submillimeter galaxy ID 141 at redshift 4.24

The ramp-up of interstellar medium enrichment at z > 4


Fault-tolerant, high-level quantum circuits: form, compilation and description

Synthesis of Arbitrary Quantum Circuits to Topological Assembly: Systematic, Online and Compact

Faster manipulation of large quantum circuits using wire label reference diagrams

Controlling distilleries in fault-tolerant quantum circuits: problem statement and analysis towards a solution


FaceForensics++: Learning to Detect Manipulated Facial Images

Celeb-DF: A Large-scale Challenging Dataset for DeepFake Forensics

The DeepFake Detection Challenge (DFDC) Dataset

Video Face Manipulation Detection Through Ensemble of CNNs


X-ray spectral timing in Python

Light bending and X-ray echoes from behind a supermassive black hole

Revealing structure and evolution within the corona of the Seyfert galaxy I Zw 1

Monthly Notices of the Royal Astronomical Society

Low-frequency X-ray timing with Gaussian processes and reverberation in the radio-loud AGN 3C 120

Monthly notices of the Royal Astronomical Society

X-Ray Reverberation Mapping of Ark 564 Using Gaussian Process Regression

Discovery of soft and hard X-ray time lags in low-mass AGNs

X-Ray/UVOIR Frequency-resolved Time Lag Analysis of Mrk 335 Reveals Accretion Disk Reprocessing


Implementation of the paper "Automatic Program Synthesis of Long Programs with a Learned Garbage Collector"

Effective Approaches to Attention-based Neural Machine Translation

RobustFill: Neural Program Learning under Noisy I/O

Learning to Combine Per-Example Solutions for Neural Program Synthesis

Learning Fitness Functions for Genetic Algorithms


PyTorch implementation of ICLR 2018 paper Learn To Pay Attention (and some modification)

Learn To Pay Attention

Survey of Explainable AI Techniques in Healthcare

Attention-Gated Networks for Improving Ultrasound Scan Plane Detection

Passive attention in artificial neural networks predicts human visual selectivity

Information Bottleneck Approach to Spatial Attention Learning


[FG 2019 Oral] Attribute-Guided Sketch Generation

AttentionGAN: Unpaired Image-to-Image Translation Using Attention-Guided Generative Adversarial Networks

Attention-Guided Generative Adversarial Networks for Unsupervised Image-to-Image Translation

Attribute-Guided Sketch Generation


Machine Translation (MT) Preparation Scripts

Fine-tuning Large Language Models for Adaptive Machine Translation

Domain-Specific Text Generation for Machine Translation

Language Modelling Approaches to Adaptive Machine Translation


Code and Swedish pre-trained models for BERT

Attention Is All You Need

BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Building a Swedish Question-Answering Model

Passive and Active Network Measurement Conference


Japanese CLIP by rinna Co., Ltd.

Learning Transferable Visual Models From Natural Language Supervision

LAION-5B: An open large-scale dataset for training next generation image-text models

AltCLIP: Altering the Language Encoder in CLIP for Extended Language Capabilities

Babel-ImageNet: Massively Multilingual Evaluation of Vision-and-Language Representations

PEA-Diffusion: Parameter-Efficient Adapter with Knowledge Distillation in non-English Text-to-Image Generation


Implicit Deep Adaptive Design (iDAD): Policy-Based Experimental Design without Likelihoods

Implicit Deep Adaptive Design: Policy-Based Experimental Design without Likelihoods

Variational Sequential Optimal Experimental Design using Reinforcement Learning


When Do Transformers Shine in RL? Decoupling Memory from Credit Assignment, NeurIPS 2023 (oral)

Recurrent Model-Free RL Can Be a Strong Baseline for Many POMDPs

Rethinking Transformers in Solving POMDPs


EfficientNet-Absolute Zero for Continuous Speech Keyword Spotting

EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks

SpecAugment: A Simple Data Augmentation Method for Automatic Speech Recognition

Deep Residual Learning for Small-Footprint Keyword Spotting


Learning from Hypervectors: A Survey on Hypervector Encoding

Brain-Inspired Hyperdimensional Computing: How Thermal-Friendly for Edge Computing?

Brain-inspired Cognition in Next-generation Racetrack Memories


Code for "Adversarial Over-Sensitivity and Over-Stability Strategies for Dialogue Models (CoNLL 2018)"

Get To The Point: Summarization with Pointer-Generator Networks

Multiresolution Recurrent Neural Networks: An Application to Dialogue Response Generation

A Hierarchical Latent Variable Encoder-Decoder Model for Generating Dialogues

Towards a Robust Deep Neural Network in Texts: A Survey


AlphaNet Improved Training of Supernet with Alpha-Divergence

AttentiveNAS: Improving Neural Architecture Search via Attentive Sampling

AlphaNet: Improved Training of Supernets with Alpha-Divergence

A Semi-Decoupled Approach to Fast and Optimal Hardware-Software Co-Design of Neural Accelerators


[ICLR'21] Dataset Inference for Ownership Resolution in Machine Learning

Dataset Inference: Ownership Resolution in Machine Learning

Defending against Model Stealing via Verifying Embedded External Features

Deep Intellectual Property Protection: A Survey

Conflicting Interactions among Protection Mechanisms for Machine Learning Models

False Claims against Model Ownership Resolution


KdConv: A Chinese Multi-domain Dialogue Dataset Towards Multi-turn Knowledge-driven Conversation

Pre-training language model incorporating domain-specific heterogeneous knowledge into a unified representation

An Evaluation of Chinese Human-Computer Dialogue Technology

RT-KGD: Relation Transition Aware Knowledge-Grounded Dialogue Generation

An Empirical Study on Deep Neural Network Models for Chinese Dialogue Generation

Prediction, Selection, and Generation: Exploration of Knowledge-Driven Conversation System


COVID-Net: A Tailored Deep Convolutional Neural Network Design for Detection of COVID-19 Cases from Chest X-Ray Images

CovidAID: COVID-19 Detection Using Chest X-Ray

Application of Deep Learning Techniques in Diagnosis of Covid-19 (Coronavirus): A Systematic Review

LDDNet: A Deep Learning Framework for the Diagnosis of Infectious Lung Diseases

COVID-19 Detection using Chest X-Ray

International Journal of Circuits, Systems and Signal Processing


A curated list of scene graph generation and related area resources. :-)

Annotating Objects and Relations in User-Generated Videos

International Conference on Multimedia Retrieval

Video Visual Relation Detection

PROCEEDINGS OF THE 2017 ACM MULTIMEDIA CONFERENCE (MM'17)

Video Relation Detection with Spatio-Temporal Graph

PROCEEDINGS OF THE 27TH ACM INTERNATIONAL CONFERENCE ON MULTIMEDIA (MM'19)

Scene Graph Generation: A Comprehensive Survey

CRA-Net: Composed Relation Attention Network for Visual Question Answering

Video Visual Relation Detection via Multi-modal Feature Fusion

Image Captioning with Scene-graph Based Semantic Concepts

PROCEEDINGS OF 2018 10TH INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND COMPUTING (ICMLC 2018)

Visual Spatial Attention Network for Relationship Detection

PROCEEDINGS OF THE 2018 ACM MULTIMEDIA CONFERENCE (MM'18)

Relation Understanding in Videos

One-shot Scene Graph Generation


An innovative GWAS procedure for studies on germplasm population and plant breeding

Genome-Wide Association and Genomic Prediction for Stripe Rust Resistance in Synthetic-Derived Wheats

Evolutionary Variation of Accumulative Day Length and Accumulative Active Temperature Required for Growth Periods in Global Soybeans

An Improved Genome-Wide Association Procedure Explores Gene–Allele Constitutions and Evolutionary Drives of Growth Period Traits in the Global Soybean Germplasm Population

International journal of molecular sciences


The official homepage of the COCO-Stuff dataset.

COCO-Stuff: Thing and Stuff Classes in Context

OCNet: Object Context Network for Scene Parsing

SeaFormer: Squeeze-enhanced Axial Transformer for Mobile Semantic Segmentation

Editing a classifier by rewriting its prediction rules

Mind Reader: Reconstructing complex images from brain activities

Logic-induced Diagnostic Reasoning for Semi-supervised Semantic Segmentation

Label-efficient Segmentation via Affinity Propagation

Identifying and Benchmarking Natural Out-of-Context Prediction Problems

[Re] Don't Judge an Object by Its Context: Learning to Overcome Contextual Bias

From fat droplets to floating forests: cross-domain transfer learning using a PatchGAN-based segmentation model


Disentangled Self-Supervision in Sequential Recommenders

Intent Contrastive Learning for Sequential Recommendation

Improving Micro-video Recommendation via Contrastive Multiple Interests

Generating Negative Samples for Sequential Recommendation

End-to-end Learnable Clustering for Intent Learning in Recommendation


Microbial Genome Circular plotting tool for comparative genomics using Circos

Division of labor within psyllids: metagenomics reveals an ancient dual endosymbiosis with metabolic complementarity in the genus Cacopsylla

Chimaeribacter arupi a new member of the Yersineacea family has the characteristics of a human pathogen

Frontiers in cellular and infection microbiology


Official code implementation for "Neural Image Compression: Generalization, Robustness, and Spectral Biases" (NeurIPS 2023).

Variational image compression with a scale hyperprior

To prune, or not to prune: exploring the efficacy of pruning for model compression

ELIC: Efficient Learned Image Compression with Unevenly Grouped Space-Channel Contextual Adaptive Coding


R implementation of MULTI-seq sample classification workflow

Single-cell analysis of the ventricular-subventricular zone reveals signatures of dorsal and ventral adult neurogenesis

RUNX1 marks a luminal castration-resistant lineage established at the onset of prostate development

Rubella virus tropism and single-cell responses in human primary tissue and microglia-containing organoids

Patterning and folding of intestinal villi by active mesenchymal dewetting

bioRxiv : the preprint server for biology

High-throughput mapping of single-neuron projection and molecular features by retrograde barcoded labeling

Decoding spatiotemporal transcriptional dynamics and epithelial fibroblast crosstalk during gastroesophageal junction development through single cell analysis


ROHSA: Regularized Optimization for Hyper-Spectral Analysis - Application to phase separation of 21 cm data

Thermal and Turbulent Properties of the Warm Neutral Medium in the Solar Neighborhood

Compressed magnetized shells of atomic gas and the formation of the Corona Australis molecular cloud

Resolving the Formation of Cold H i Filaments in the High-velocity Cloud Complex C

The multiphase and magnetized neutral hydrogen seen by LOFAR

A Comparison of Multiphase Magnetic Field Tracers in a High Galactic Latitude Region of the Filamentary Interstellar Medium

Mapping the Thermal Condensation of Diffuse H i in the North Celestial Pole Loop


Combating Adversarial Misspellings with Robust Word Recognition

Towards a Robust Deep Neural Network in Texts: A Survey

MALCOM: Generating Malicious Comments to Attack Neural Fake News Detection Models


MOTIF: A Large Malware Reference Dataset with Ground Truth Family Labels

Marvolo: Programmatic Data Augmentation for Practical ML-Driven Malware Detection

Small Effect Sizes in Malware Detection? Make Harder Train/Test Splits!


An R package for hierarchical clustering with p-values

A deep learning and similarity-based hierarchical clustering approach for pathological stage prediction of papillary renal cell carcinoma

Computational and structural biotechnology journal

How to Render Species Comparable Taxonomic Units Through Deep Time: a Case Study on Intraspecific Osteological Variability in Extant and Extinct Lacertid Lizards.

Database of space life investigations and bioinformatics of microbiology in extreme environments

Unrelated Fungal Rust Candidate Effectors Act on Overlapping Plant Functions

Protein interaction network analysis of mTOR signaling reveals modular organization


Gifsplanation - Explaining neural networks with gifs!

Gifsplanation via Latent Shift: A Simple Autoencoder Approach to Counterfactual Generation for Chest X-rays

Gifsplanation via Latent Shift: A Simple Autoencoder Approach to Progressive Exaggeration on Chest X-rays.


Matlab code for all variants of robust PCA and SPCP

A variational approach to stable principal component pursuit

An ADMM Approach to Masked Signal Decomposition Using Subspace Representation

Subspace Learning in The Presence of Sparse Structured Outliers and Noise

Adaptive quantile low-rank matrix factorization

Tensor Robust Principal Component Analysis: Better recovery with atomic norm regularization

Robust Dual-Graph Regularized Moving Object Detection


Implementation of Bootstrap DQN and Randomized Prior Functions on ALE

Deep Exploration via Bootstrapped DQN

Randomized Prior Functions for Deep Reinforcement Learning

Principled Exploration via Optimistic Bootstrapping and Backward Induction

Posterior Sampling for Deep Reinforcement Learning


Release detailed information for the benchmarking algorithms

Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks

U-GAT-IT: Unsupervised Generative Attentional Networks with Adaptive Layer-Instance Normalization for Image-to-Image Translation

Unpaired Image-to-Image Translation using Adversarial Consistency Loss

UVCGAN: UNet Vision Transformer cycle-consistent GAN for unpaired image-to-image translation


Two-Stream Neural Networks for Tampered Face Detection

Noiseprint: a CNN-based camera model fingerprint

Content-aware detection of JPEG grid inconsistencies for intuitive image forensics

Zenodo (CERN European Organization for Nuclear Research)

Forgery Detection in Digital Images by Multi-Scale Noise Estimation

Towards Generic Image Manipulation Detection with Weakly-Supervised Self-Consistency Learning

Rethinking Image Forgery Detection via Contrastive Learning and Unsupervised Clustering

On the Effectiveness of Image Manipulation Detection in the Age of Social Media


Gender, Age, and Emotion for Flickr-Faces-HQ Dataset (FFHQ)

Compositional Visual Generation with Composable Diffusion Models

Analyzing Bias in Diffusion-based Face Generation Models

Light Schrödinger Bridge

Deep Generative Model based Rate-Distortion for Image Downscaling Assessment


Corpus of Coq code related to MathComp including several machine-readable representations

Deep Generation of Coq Lemma Names Using Elaborated Terms

Roosterize: Suggesting Lemma Names for Coq Verification Projects Using Deep Learning


The official implementation of our NAACL 2024 paper "A Wolf in Sheep’s Clothing: Generalized Nested Jailbreak Prompts can Fool Large Language Models Easily".

Universal and Transferable Adversarial Attacks on Aligned Language Models

AutoDAN: Generating Stealthy Jailbreak Prompts on Aligned Large Language Models

A Wolf in Sheep's Clothing: Generalized Nested Jailbreak Prompts can Fool Large Language Models Easily


Preference Completion: Large-scale Collaborative Ranking from Pairwise Comparisons

Advances in Collaborative Filtering and Ranking

A Harmonic Extension Approach for Collaborative Ranking


The code and data used for EACL2023 Paper: "Large Language Models are few(1)-shot Table Reasoners"

Chain-of-Table: Evolving Tables in the Reasoning Chain for Table Understanding


PLATYPOS - PLAneTarY PhOtoevaporation Simulator

X-ray irradiation and evaporation of the four young planets around V1298 Tau

The influence of host star activity evolution on the population of super-Earths and mini-Neptunes

Estimating photoevaporative mass loss of exoplanets with PLATYPOS

Three young planets around the K-dwarf K2-198: high-energy environment, evaporation history, and expected future


Benchmark apps for static analyzing inter-component data leakage problem of Android apps.

Are free Android app security analysis tools effective in detecting known vulnerabilities?

Systematic Mutation-Based Evaluation of the Soundness of Security-Focused Android Static Analysis Techniques

ACM Transactions on Privacy and Security

A Comprehensive Evaluation of Android ICC Resolution Techniques

µSE: Mutation-Based Evaluation of Security-Focused Static Analysis Tools for Android

International Conference on Software Engineering

AppAngio: Revealing Contextual Information of Android App Behaviors by API-Level Audit Logs


A curated list of resources on document similarity measures (papers, tutorials, code, ...)

Learning Fine-grained Image Similarity with Deep Ranking

Learning to Rank Short Text Pairs with Convolutional Deep Neural Networks

SIGIR 2015: PROCEEDINGS OF THE 38TH INTERNATIONAL ACM SIGIR CONFERENCE ON RESEARCH AND DEVELOPMENT IN INFORMATION RETRIEVAL

Content-Based Recommender Systems

Reliability quality measures for recommender systems

Using Crowdsourcing to Investigate Perception of Narrative Similarity

International Conference on Information and Knowledge Management

Evaluating the CC-IDF citation-weighting scheme: How effectively can ‘Inverse Document Frequency’ (IDF) be applied to references?

ERCNN: Enhanced Recurrent Convolutional Neural Networks for Learning Sentence Similarity


Code for watermarking language models

Robust Distortion-free Watermarks for Language Models

DiPmark: A Stealthy, Efficient and Resilient Watermark for Large Language Models

REMARK-LLM: A Robust and Efficient Watermarking Framework for Generative Large Language Models

Distortion-free Watermarks are not Truly Distortion-free under Watermark Key Collisions


Code to model the secular evolution of a hierarchical multiple system

Was GW190412 Born from a Hierarchical 3 + 1 Quadruple Configuration?

Multiple Stellar Evolution: a population synthesis algorithm to model the stellar, binary, and dynamical evolution of multiple-star systems

Monthly Notices of the Royal Astronomical Society

Formation and Merging of Mass Gap Black Holes in Gravitational-wave Merger Events from Wide Hierarchical Quadruple Systems

First- and second-generation black hole and neutron star mergers in 2+2 quadruples: population statistics

Monthly notices of the Royal Astronomical Society

Properties of von Zeipel-Lidov-Kozai oscillations in triple systems at the quadrupole order: relaxing the test particle approximation

Secular dynamics of hierarchical multiple systems composed of nested binaries, with an arbitrary number of bodies and arbitrary hierarchical structure – III. Suborbital effects: hybrid integration techniques and orbit-averaging corrections

A census of main-sequence interactions in the Multiple Star Catalogue


ACM CHIL 2021: "Enabling Counterfactual Survival Analysis with Balanced Representations"

Adversarial Time-to-Event Modeling

SurvITE: Learning Heterogeneous Treatment Effects from Time-to-Event Data

Enabling counterfactual survival analysis with balanced representations

Proceedings of the Conference on Health, Inference, and Learning


On testing for spatial correspondence between maps of human brain structure and function

High-resolution connectomic fingerprints: Mapping neural identity and behavior

Morphometricity as a measure of the neuroanatomical signature of a trait

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


A toolbox for near-field THz imaging simulation and image reconstruction.

Efficient 3-D Near-Field MIMO-SAR Imaging for Irregular Scanning Geometries

Near-Field MIMO-ISAR Millimeter-Wave Imaging

Efficient CNN-Based Super Resolution Algorithms for Mmwave Mobile Radar Imaging

International Conference on Information Photonics

A Vision Transformer Approach for Efficient Near-Field SAR Super-Resolution under Array Perturbation

PROCEEDINGS OF THE 2022 IEEE TEXAS SYMPOSIUM ON WIRELESS AND MICROWAVE CIRCUITS AND SYSTEMS (WMCS)

Deep-Learning-Based Multiband Signal Fusion for 3-D SAR Superresolution

IEEE Transactions on Aerospace and Electronic Systems

Novel Hybrid-Learning Algorithms for Improved Millimeter-Wave Imaging Systems


Code accompanying the article "Self-Supervised Learning for Scene Classification in Remote Sensing: current State of the Art and Perspectives"

A Simple Framework for Contrastive Learning of Visual Representations

Momentum Contrast for Unsupervised Visual Representation Learning

Bootstrap your own latent: A new approach to self-supervised Learning

Improved Baselines with Momentum Contrastive Learning

Barlow Twins: Self-Supervised Learning via Redundancy Reduction

Self-Supervised Learning for Scene Classification in Remote Sensing: Current State of the Art and Perspectives


[RSS 2023] Official code for "Goal Conditioned Imitation Learning using Score-based Diffusion Policies"

Score-Based Generative Modeling through Stochastic Differential Equations

Improved Denoising Diffusion Probabilistic Models

Elucidating the Design Space of Diffusion-Based Generative Models

Goal-Conditioned Imitation Learning using Score-based Diffusion Policies

Learning to Reach Goals via Diffusion


Clustering-based methods for overlapping diarization

GPU-accelerated Guided Source Separation for Meeting Transcription

One Model to Rule Them All ? Towards End-to-End Joint Speaker Diarization and Speech Recognition

Low-Latency Speech Separation Guided Diarization for Telephone Conversations

An Experimental Review of Speaker Diarization methods with application to Two-Speaker Conversational Telephone Speech recordings

Geodesic interpolation of frame-wise speaker embeddings for the diarization of meeting scenarios


pytorch implementation of manifold-mixup

Deep Residual Learning for Image Recognition

Densely Connected Convolutional Networks

Manifold Mixup: Better Representations by Interpolating Hidden States

Dual Path Networks


Indonesian part-of-speech (POS) tagging

Toward a Standardized and More Accurate Indonesian Part-of-Speech Tagging

Which Student is Best? A Comprehensive Knowledge Distillation Exam for Task-Specific BERT Models

Costs to Consider in Adopting NLP for Your Business

No Budget? Don't Flex! Cost Consideration when Planning to Adopt NLP for Your Business.


U-NO: U-shaped Neural Operators

Towards Multi-spatiotemporal-scale Generalized PDE Modeling

Neural Operator: Is data all you need to model the world? An insight into the impact of Physics Informed Machine Learning


Self-supervised learning through the eyes of a child

A Simple Framework for Contrastive Learning of Visual Representations

How much human-like visual experience do current self-supervised learning algorithms need in order to achieve human-level object recognition?


Sergey Koposov's repository of codes, converted from IDL astrolib. Some are mimicking the IDL interface, some are new. Some are obsolete given the existence of astropy

The R-Process Alliance: First Release from the Northern Search for r-process-enhanced Metal-poor Stars in the Galactic Halo

The R-Process Alliance: discovery of a low-α, r-process-enhanced metal-poor star in the galactic halo

Moment expansion of polarized dust SED: A new path towards capturing the CMB B-modes with LiteBIRD

A Long-duration Luminous Type IIn Supernova KISS15s: Strong Recombination Lines from the Inhomogeneous Ejecta-CSM Interaction Region and Hot Dust Emission from Newly Formed Dust

A sensitive APEX and ALMA CO(1–0), CO(2–1), CO(3–2), and [CI](1–0) spectral survey of 40 local (ultra-)luminous infrared galaxies

The Characterization of the Dust Content in the Ring Around Sz 91: Indications of Planetesimal Formation?

Kinematics of Type II Cepheids of the Galactic Halo

HubPUG: Proper Motions for Local Group Dwarfs observed with HST utilizing Gaia as a Reference Frame

DEATHSTAR: A system for confirming planets and identifying false positive signals in TESS data using ground-based time domain surveys

A possible relation between global CO excitation and massive molecular outflows in local ULIRGs


SciGen

Explaining Relationships Between Scientific Documents

Automatic Related Work Generation: A Meta Study

Prompting Strategies for Citation Classification

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management

Related Work and Citation Text Generation: A Survey


AUV position estimation with seabed acoustic sensing and DOA measurements (extended Kalman filter and conditionnaly minimax nonlinear filter)

Passive Underwater Target Tracking: Conditionally Minimax Nonlinear Filtering with Bearing-Doppler Observations

On AUV Control with the Aid of Position Estimation Algorithms Based on Acoustic Seabed Sensing and DOA Measurements

AUV position estimation via acoustic seabed profile measurements

AUV navigation with seabed acoustic sensing

Mediterranean Conference on Control and Automation


Matlab implementation of our works on online hashing

Supervised Online Hashing via Hadamard Codebook Learning

Towards Optimal Discrete Online Hashing with Balanced Similarity

Hadamard Matrix Guided Online Hashing


GitHub Cloner & Compiler

Augmenting Decompiler Output with Learned Variable Names and Types

Source Code Foundation Models are Transferable Binary Analysis Knowledge Bases

Pre-Training Representations of Binary Code Using Contrastive Learning

Revisiting Deep Learning for Variable Type Recovery


SkipGNN: Predicting Molecular Interactions with Skip-Graph Networks (Scientific Reports)

SumGNN: multi-typed drug interaction prediction via efficient knowledge graph summarization

Assessment of community efforts to advance network-based prediction of protein–protein interactions

Accurate and interpretable drug-drug interaction prediction enabled by knowledge subgraph learning


IL2M: Class Incremental Learning With Dual Memory

International Conference on Computer Vision

A Comprehensive Study of Class Incremental Learning Algorithms for Visual Tasks

ScaIL: Classifier Weights Scaling for Class Incremental Learning

Initial Classifier Weights Replay for Memoryless Class Incremental Learning

Active Class Incremental Learning for Imbalanced Datasets


Apply a clustering tool based on self-organizing-map to identify open clusters

Disruption of Hierarchical Clustering in the Vela OB2 Complex and the Cluster Pair Collinder 135 and UBC 7 with Gaia EDR3: Evidence of Supernova Quenching

3D Morphology of Open Clusters in the Solar Neighborhood with Gaia EDR 3. II. Hierarchical Star Formation Revealed by Spatial and Kinematic Substructures

Cluster aggregates surrounding Pismis 5 in the Vela molecular ridge

On the Roles of Stellar Rotation and Binarity in NGC 2423's Main-sequence Turnoff Region

Dynamical Origin for the Collinder 132–Gulliver 21 Stream: A Mixture of Three Comoving Populations with an Age Difference of 250 Myr


Open source code for paper "Denoised MDPs: Learning World Models Better Than the World Itself"

Dream to Control: Learning Behaviors by Latent Imagination

Joint Representations for Reinforcement Learning with Multiple Sensors


Kernel Localized Linear Regression (KLLR)

Baryonic Imprints on DM Halos: Population Statistics from Dwarf Galaxies to Galaxy Clusters

Galaxy velocity bias in cosmological simulations: towards per cent-level calibration

KLLR: A Scale-dependent, Multivariate Model Class for Regression Analysis


The PyTorch implementation of STGCN.

Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting

PROCEEDINGS OF THE TWENTY-SEVENTH INTERNATIONAL JOINT CONFERENCE ON ARTIFICIAL INTELLIGENCE

Deep learning for dynamic graphs: models and benchmarks

Graph-Free Learning in Graph-Structured Data: A More Efficient and Accurate Spatiotemporal Learning Perspective

Survey of Graph Neural Network for Internet of Things and NextG Networks


A list of scRNA-seq analysis tools

Comprehensive Integration of Single-Cell Data

UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction

Integrated analysis of multimodal single-cell data

Highly Parallel Genome-wide Expression Profiling of Individual Cells Using Nanoliter Droplets

SCANPY: large-scale single-cell gene expression data analysis

The dynamics and regulators of cell fate decisions are revealed by pseudotemporal ordering of single cells

Massively parallel digital transcriptional profiling of single cells

Spatial reconstruction of single-cell gene expression data

SCENIC: single-cell regulatory network inference and clustering

Reversed graph embedding resolves complex single-cell trajectories


Carbon characteristics of Google Cloud regions


Official implementation of "Is This Loss Informative? Faster Text-to-Image Customization by Tracking Objective Dynamics" (NeurIPS 2023)

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

An Image is Worth One Word: Personalizing Text-to-Image Generation using Textual Inversion

Multi-Concept Customization of Text-to-Image Diffusion


SmartTrack: Efficient Predictive Race Detection

Programming Language Design and Implementation

Atomicity Checking in Linear Time using Vector Clocks

TWENTY-FIFTH INTERNATIONAL CONFERENCE ON ARCHITECTURAL SUPPORT FOR PROGRAMMING LANGUAGES AND OPERATING SYSTEMS (ASPLOS XXV)

Dependence-Aware, Unbounded Sound Predictive Race Detection

Online Set-Based Dynamic Analysis for Sound Predictive Race Detection

Predicting all data race pairs for a specific schedule


Solver-in-the-Loop: Learning from Differentiable Physics to Interact with Iterative PDE-Solvers

JAX-FLUIDS: A fully-differentiable high-order computational fluid dynamics solver for compressible two-phase flows

DeepZero: Scaling up Zeroth-Order Optimization for Deep Model Training


A fast LSTM Language Model for large vocabulary language like Japanese and Chinese

Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding

Using the Output Embedding to Improve Language Models

Efficient softmax approximation for GPUs

Strategies for Training Large Vocabulary Neural Language Models

Enabling Real-time Neural IME with Incremental Vocabulary Selection

North American Chapter of the Association for Computational Linguistics


R Data: Single cell RNA sequencing of human liver reveals distinct intrahepatic macrophage populations

MarcoPolo: a method to discover differentially expressed genes in single-cell RNA-seq data without depending on prior clustering

Age- and Microbiota-Dependent Cell Stemness Plasticity Revealed by Cattle Cell Landscape


This repo contains the dataset for the EMNLP 2022 paper "Why Do You Feel This Way? Summarizing Triggers of Emotions in Social Media Posts"

OASum: Large-Scale Open Domain Aspect-based Summarization

Unsupervised Extractive Summarization of Emotion Triggers


Formerly for binary classification with noisy labels. Replaced by cleanlab.

Learning with Confident Examples: Rank Pruning for Robust Classification with Noisy Labels

A Variational Approach for Learning from Positive and Unlabeled Data

Learning Classifiers on Positive and Unlabeled Data with Policy Gradient

Data quality dimensions for fair AI

Intelligence, physics and information -- the tradeoff between accuracy and simplicity in machine learning


Revisiting Transferable Adversarial Images (arXiv)

Towards Good Practices in Evaluating Transfer Adversarial Attacks

Revisiting Transferable Adversarial Image Examples: Attack Categorization, Evaluation Guidelines, and New Insights

Defending Against Transfer Attacks From Public Models


This is the official repository for Retrieval Augmented Visual Question Answering

Retrieval Augmented Visual Question Answering with Outside Knowledge

Fine-grained Late-interaction Multi-modal Retrieval for Retrieval Augmented Visual Question Answering

PreFLMR: Scaling Up Fine-Grained Late-Interaction Multi-modal Retrievers

FVQA 2.0: Introducing Adversarial Samples into Fact-based Visual Question Answering


Data, plots and code for constraints on axions, axion-like particles, and dark photons

First results of the CAST-RADES haloscope search for axions at 34.67 μeV

Scalable haloscopes for axion dark matter detection in the 30 μeV range with RADES

Galactic origin of relativistic bosons and XENON1T excess

Journal of Cosmology and Astroparticle Physics

Search for galactic axions with a high-Q dielectric cavity

Cosmological constraints on decaying axion-like particles: a global analysis

Updated constraints on axion-like particles from temporal information in supernova SN1987A gamma-ray data

Strong constraints on decay and annihilation of dark matter from heating of gas-rich dwarf galaxies

New inflationary probes of axion dark matter

Axion echoes from the supernova graveyard

Constraining axion and compact dark matter with interstellar medium heating


ICCV 2019 Overcoming Catastrophic Forgetting with Unlabeled Data in the Wild

Learning without Forgetting

End-to-End Incremental Learning

Overcoming Catastrophic Forgetting by Generative Regularization


Complete-coverage gridded predictions of soil properties (percent organic carbon, total nitrogen, bulk density, pH, and percent sand and clay) and classes (taxonomic great group and particle size in the control section) for the Conterminous U.S.

Soil Property and Class Maps of the Conterminous United States at 100-Meter Spatial Resolution


ICLR 2022, "FedBABU: Toward Enhanced Representation for Federated Image Classification"

FedBABU: Towards Enhanced Representation for Federated Image Classification

FedLab: A Flexible Federated Learning Framework

Tackling Data Heterogeneity in Federated Learning with Class Prototypes

Towards More Suitable Personalization in Federated Learning via Decentralized Partial Model Training

Supernet Training for Federated Image Classification under System Heterogeneity

FedFN: Feature Normalization for Alleviating Data Heterogeneity Problem in Federated Learning


Fast algorithms for complementary low-rank matrices, e.g. Fourier integral operators (FIOs) for wave equations and a class of imaging methods, a class of transforms for harmonic analysis and special functions.

Butterfly Factorization

Interpolative Butterfly Factorization

A Multiscale Butterfly Algorithm for Multidimensional Fourier Integral Operators

A hierarchical butterfly LU preconditioner for two-dimensional electromagnetic scattering problems involving open surfaces

Rapid Application of the Spherical Harmonic Transform via Interpolative Decomposition Butterfly Factorization

Multidimensional phase recovery and interpolative decomposition butterfly factorization


A tool for concatenating multiple fasta alignments for supermatrix phylogenetic analyses

Challenging the Importance of Plastid Genome Structure Conservation: New Insights From Euglenophytes

The Whole Genome of Colletes collaris (Hymenoptera: Colletidae): An Important Step in Comparative Genomics of Cellophane Bees

A Chromosome-Scale Genome Assembly of Mitragyna speciosa (Kratom) and the Assessment of Its Genetic Diversity in Thailand

Phylogenomic discernments into Anaerolineaceae thermal adaptations and the proposal of a candidate genus Mesolinea


Empirical tricks for training robust models (ICLR 2021)

Bag of Tricks for Adversarial Training

Stable Neural ODE with Lyapunov-Stable Equilibrium Points for Defending Against Adversarial Attacks

Ensemble-in-One: Ensemble Learning within Random Gated Networks for Enhanced Adversarial Robustness

THIRTY-SEVENTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, VOL 37 NO 12

Model-Agnostic Meta-Attack: Towards Reliable Evaluation of Adversarial Robustness

Embodied Active Defense: Leveraging Recurrent Feedback to Counter
  Adversarial Patches


Structural Bioinformatics Training Workshop & Hackathon 2017

Web-based molecular graphics for large complexes

Proceedings of the 21st International Conference on Web3D Technology

MMTF—An efficient file format for the transmission, visualization, and analysis of macromolecular structures

Towards an efficient compression of 3D coordinates of macromolecular structures


Desmistificando DevOps: Projetando Arquiteturas Efetivamente Escaláveis

Microservices Architecture Enables DevOps: Migration to a Cloud-Native Architecture

Borg, Omega, and Kubernetes

Continuous software engineering: A roadmap and agenda

Microservices: The Journey So Far and Challenges Ahead

Containerization and the PaaS Cloud

A Survey of DevOps Concepts and Challenges

Cloud Container Technologies: A State-of-the-Art Review

DevOps

Continuous deployment of software intensive products and services: A systematic mapping study

Understanding cloud-native applications after 10 years of cloud computing - A systematic mapping study


Evaluation metrics to compare AMR graphs based on Smatch

An Incremental Parser for Abstract Meaning Representation

XL-AMR: Enabling Cross-Lingual AMR Parsing with Transfer Learning Techniques

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

Ensembling Graph Predictions for AMR Parsing

Hierarchical Curriculum Learning for AMR Parsing

Bridging Semantic Frameworks: mapping DRS onto AMR

International Conference on Computational Semantics

基于序列到序列的中文AMR解析(Chinese AMR Parsing based on Sequence-to-Sequence Modeling)

China National Conference on Chinese Computational Linguistics


Microservice Architecture Reconstruction and Visualization Techniques: A Review

A curated Dataset of Microservices-Based Systems

A Decomposition and Metric-Based Evaluation Framework for Microservices

Microvision: Static analysis-based approach to visualizing microservices in augmented reality

Static analysis tools in the era of cloud-native systems


Deeper, Broader and Artier Domain Generalization

WILDS: A Benchmark of in-the-Wild Distribution Shifts

Domain Generalization for Object Recognition with Multi-task Autoencoders

Towards Principled Disentanglement for Domain Generalization


Hints for a Turnover at the Snow Line in the Giant Planet Occurrence Rate

The Exoplanet Population Observation Simulator. I. The Inner Edges of Planetary Systems

The Exoplanet Population Observation Simulator. II. Population Synthesis in the Era of Kepler

The Impact of Stripped Cores on the Frequency of Earth-size Planets in the Habitable Zone

Earths in Other Solar Systems’ N-body Simulations: The Role of Orbital Damping in Reproducing the Kepler Planetary Systems

The Demographics of Kepler's Earths and Super-Earths into the Habitable Zone

pterodactyls: A Tool to Uniformly Search and Vet for Young Transiting Planets in TESS Primary Mission Photometry


[ICLR 2023] Autoencoders as Cross-Modal Teachers: Can Pretrained 2D Image Transformers Help 3D Representation Learning?

Contrast with Reconstruct: Contrastive 3D Representation Learning Guided by Generative Pretraining

ShapeLLM: Universal 3D Object Understanding for Embodied Interaction


One Model to Unite Them All: Personalized Federated Learning of Multi-Contrast MRI Synthesis (pFLSynth)

Image-to-Image Translation with Conditional Adversarial Networks

Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks


Scripts to reproduce TrioBinning manuscript

Accurate circular consensus long-read sequencing improves variant detection and assembly of a human genome

Continuous chromosome-scale haplotypes assembled from a single interspecies F1 hybrid of yak and cattle

Twelve quick steps for genome assembly and annotation in the classroom


GLAD: Learning Sparse Graph Recovery

GLAD: Learning Sparse Graph Recovery

Learning to Learn Graph Topologies

Methods for Recovering Conditional Independence Graphs: A Survey


Official Code Repository for the paper "Accurate Learning of Graph Representations with Graph Multiset Pooling" (ICLR 2021)

G-Mixup: Graph Data Augmentation for Graph Classification

Structural Entropy Guided Graph Hierarchical Pooling

Edge Representation Learning with Hypergraphs

State of the Art and Potentialities of Graph-level Learning

On Exploring Node-feature and Graph-structure Diversities for Node Drop Graph Pooling


A PyTorch implementation of "Signed Graph Convolutional Network" (ICDM 2018).

Signed Graph Attention Networks

SDGNN: Learning Node Representation for Signed Directed Networks

PyTorch Geometric Signed Directed: A Software Package on Graph Neural Networks for Signed and Directed Graphs

A Graph Convolution for Signed Directed Graphs

Learning Disentangled Representations in Signed Directed Graphs without Social Assumptions


Neural network class for molecular dynamics to predict potential energy, forces and non-adiabatic couplings.

Constructing high-dimensional neural network potentials: A tutorial review

International Journal of Quantum Chemistry

Machine Learning for Electronically Excited States of Molecules

Automatic discovery of photoisomerization mechanisms with nanosecond machine learning photodynamics simulations


[NeurIPS 2023, ICMI 2023] Quantifying & Modeling Multimodal Interactions

Quantifying & Modeling Multimodal Interactions: An Information Decomposition Framework

Multimodal Learning Without Labeled Multimodal Data: Guarantees and Applications

Multimodal Fusion Interactions: A Study of Human and Automatic Quantification


A curated list of grounding natural language in video and related area. :-)

Jointly Cross- and Self-Modal Graph Attention Network for Query-Based Moment Localization

Fine-grained Iterative Attention Network for Temporal Language Localization in Videos

Regularized Two-Branch Proposal Networks for Weakly-Supervised Moment Retrieval in Videos

Dual Path Interaction Network for Video Moment Localization

MM '20: PROCEEDINGS OF THE 28TH ACM INTERNATIONAL CONFERENCE ON MULTIMEDIA

Visual Co-Occurrence Alignment Learning for Weakly-Supervised Video Moment Retrieval

Proceedings of the 29th ACM International Conference on Multimedia

Adversarial Video Moment Retrieval by Jointly Modeling Ranking and Localization

Cross Interaction Network for Natural Language Guided Video Moment Retrieval

SIGIR '21 - PROCEEDINGS OF THE 44TH INTERNATIONAL ACM SIGIR CONFERENCE ON RESEARCH AND DEVELOPMENT IN INFORMATION RETRIEVAL

Cross-modal video moment retrieval based on visual-textual relationship alignment

Context-aware network with foreground recalibration for grounding natural language in video

Semantic Modulation Based Residual Network for Temporal Language Queries Grounding in Video


Matrix Iteratively Reweighted Least Squares for low-rank matrix completion and estimation

Solving a low-rank factorization model for matrix completion by a nonlinear successive over-relaxation algorithm

Low-rank matrix completion by Riemannian optimization---extended version

Improved Iteratively Reweighted Least Squares for Unconstrained Smoothed ℓ_q Minimization

Low-rank matrix recovery via iteratively reweighted least squares minimization

Normalized Iterative Hard Thresholding for Matrix Completion

Low rank matrix completion by alternating steepest descent methods

Applied and Computational Harmonic Analysis

Low-rank matrix completion via preconditioned optimization on the Grassmann manifold

Accelerating Ill-Conditioned Low-Rank Matrix Estimation via Scaled Gradient Descent

CGIHT: conjugate gradient iterative hard thresholding for compressed sensing and matrix completion

Information and Inference A Journal of the IMA

R3MC: A Riemannian three-factor algorithm for low-rank matrix completion


Simulator for modeling energy consumption in cloud, fog, and edge computing environments

LEAF: Simulating Large Energy-Aware Fog Computing Environments

Simulation Tools for Fog Computing: A Comparative Analysis


Code for CIKM2020 "S3-Rec: Self-Supervised Learning for Sequential Recommendation with Mutual Information Maximization"

International Conference on Information and Knowledge Management

Recommendation as Language Processing (RLP): A Unified Pretrain, Personalized Prompt & Predict Paradigm (P5)

Intent Contrastive Learning for Sequential Recommendation

Contrastive Self-supervised Sequential Recommendation with Robust Augmentation

Sequential Recommendation via Stochastic Self-Attention

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

What is Next when Sequential Prediction Meets Implicitly Hard Interaction?

PROCEEDINGS OF THE 30TH ACM INTERNATIONAL CONFERENCE ON INFORMATION & KNOWLEDGE MANAGEMENT, CIKM 2021

Mutual Wasserstein Discrepancy Minimization for Sequential Recommendation

Generating Negative Samples for Sequential Recommendation


Metaphor classification for verbs and content words

A Report on the 2018 VUA Metaphor Detection Shared Task

A Report on the 2020 VUA and TOEFL Metaphor Detection Shared Task

Meeting of the Association for Computational Linguistics

Semantic classifications for detection of verb metaphors

PROCEEDINGS OF THE 54TH ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS (ACL 2016), VOL 2

A Corpus of Non-Native Written English Annotated for Metaphor

North American Chapter of the Association for Computational Linguistics

An analysis of language models for metaphor recognition

International Conference on Computational Linguistics

MIss RoBERTa WiLDe: Metaphor Identification Using Masked Language Model with Wiktionary Lexical Definitions


Stellar LAbel Machine (SLAM).

Deriving the Stellar Labels of LAMOST Spectra with the Stellar LAbel Machine (SLAM)

The Astrophysical Journal Supplement Series

Stellar Parameterization of LAMOST M Dwarf Stars

The Early-type Stars from the LAMOST Survey: Atmospheric Parameters

The Stellar Spectra Factory (SSF) Based on SLAM


[CVPR 2023] The official repository of our paper "Upcycling Models under Domain and Category Shift"

LEAD: Learning Decomposition for Source-free Universal Domain Adaptation

Memory-Assisted Sub-Prototype Mining for Universal Domain Adaptation

GLC++: Source-Free Universal Domain Adaptation through Global-Local
  Clustering and Contrastive Affinity Learning


Night-to-Day Image Translation for Retrieval-based Localization

Adverse Weather Image Translation with Asymmetric and Uncertainty-aware GAN


Development version of vioplot R package (CRAN maintainer)

SambaR: an R package for fast, easy and reproducible population-genetic analyses of biallelic SNP datasets

A global ecological signal of extinction risk in terrestrial vertebrates

Conservation biology : the journal of the Society for Conservation Biology

Ten more years of discovery: revisiting the quality of the sauropodomorph dinosaur fossil record

Intracellular Localization in Zebrafish Muscle and Conserved Sequence Features Suggest Roles for Gelatinase A Moonlighting in Sarcomere Maintenance

The revised reference genome of the leopard gecko (Eublepharis macularius) provides insight into the considerations of genome phasing and assembly

bioRxiv : the preprint server for biology

A co‐development approach to conservation leads to informed habitat design and rapid establishment of amphibian communities

Optical and biogeochemical properties of Belgian inland and coastal waters

Shared Numerosity Representations Across Formats and Tasks Revealed with 7 Tesla fMRI: Decoding, Generalization, and Individual Differences in Behavior

Disease-associated DNA2 nuclease–helicase protects cells from lethal chromosome under-replication

Negligible Quantities of Particulate Low-Temperature Pyrogenic Carbon Reach the Atlantic Ocean via the Amazon River