E2E NLG Challenge Evaluation metrics

CIDEr: Consensus-based Image Description Evaluation

Microsoft COCO Captions: Data Collection and Evaluation Server

The E2E Dataset: New Challenges For End-to-End Generation

Large Language Models Can Be Strong Differentially Private Learners

Evaluating the State-of-the-Art of End-to-End Natural Language Generation: The E2E NLG Challenge

Learning Neural Templates for Text Generation

Have Your Text and Use It Too! End-to-End Neural Data-to-Text Generation with Semantic Fidelity

Template Guided Text Generation for Task-Oriented Dialogue

Variational Template Machine for Data-to-Text Generation

Maximizing Stylistic Control and Semantic Accuracy in NLG: Personality Variation and Discourse Contrast


Meta-Learning with Warped Gradient Descent

BOIL: Towards Representation Change for Few-shot Learning

Transferring Knowledge across Learning Processes

Graceful Degradation and Related Fields


U-Net: Convolutional Networks for Biomedical Image Segmentation

Learning Incompressible Fluid Dynamics from Scratch -- Towards Fast, Differentiable Fluid Models that Generalize

Spline-PINN: Approaching PDEs without Data using Fast, Physics-Informed Hermite-Spline CNNs

Teaching the incompressible Navier–Stokes equations to fast neural surrogate models in three dimensions


Official implementation of "Everything at Once - Multi-modal Fusion Transformer for Video Retrieval". CVPR 2022

Everything at Once -- Multi-modal Fusion Transformer for Video Retrieval

Write What You Want: Applying Text-to-Video Retrieval to Audiovisual Archives


Layer-wise analysis of self-supervised pre-trained speech representations

Layer-wise Analysis of a Self-supervised Speech Representation Model

Comparative layer-wise analysis of self-supervised speech models

What Do Self-Supervised Speech Models Know About Words?


Pairing-based cryptography for Go

Secure and Efficient Multi-Signature Schemes for Fabric: An Enterprise Blockchain Platform

FairShare: Blockchain Enabled Fair, Accountable and Secure Data Sharing for Industrial IoT

Cumulus: Blockchain-Enabled Privacy Preserving Data Audit in Cloud

Distributed Data Integrity Verification Scheme in Multi-Cloud Environment


(WWW 2021) Source code of PC-GNN

Pick and Choose: A GNN-based Imbalanced Learning Approach for Fraud Detection

Rethinking Graph Neural Networks for Anomaly Detection

DGraph: A Large-Scale Financial Dataset for Graph Anomaly Detection

Improving Generalizability of Graph Anomaly Detection Models via Data Augmentation


Code Release for “Balanced Contrastive Learning for Long-Tailed Visual Recognition”

CUDA: Curriculum of Data Augmentation for Long-Tailed Recognition

Decoupled Training for Long-Tailed Classification With Stochastic Representations


Python/R library for feature selection in neural nets. ("Feature selection using Stochastic Gates", ICML 2020)

Feature Selection using Stochastic Gates

A Theoretical Analysis on Independence-driven Importance Weighting for Covariate-shift Generalization

Where to Pay Attention in Sparse Training for Feature Selection?

Composite Feature Selection using Deep Ensembles

Supervised Feature Selection with Neuron Evolution in Sparse Neural Networks

Effective Neural Network L_0 Regularization With BinMask

ProtoGate: Prototype-based Neural Networks with Local Feature Selection for Tabular Biomedical Data

Copula for Instance-wise Feature Selection and Ranking


Joint Embeddings of Chinese Words, Characters, and Fine-grained Subcharacter Components

VCWE: Visual Character-Enhanced Word Embeddings

Chinese Embedding via Stroke and Glyph Information: A Dual-channel View

A Hybrid Learning Scheme for Chinese Word Embedding

A Comparison on Fine-grained Pre-trained Embeddings for the WMT19Chinese-English News Translation Task

Proceedings of the Fourth Conference on Machine Translation (Volume 2: Shared Task Papers, Day 1)


Convolutional Sequence to Sequence Learning

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

On Faithfulness and Factuality in Abstractive Summarization

BRIO: Bringing Order to Abstractive Summarization

A Survey of Knowledge-enhanced Text Generation

SimCLS: A Simple Framework for Contrastive Learning of Abstractive Summarization

HighRES: Highlight-based Reference-less Evaluation of Summarization

RefSum: Refactoring Neural Summarization

Finding a Balanced Degree of Automation for Summary Evaluation

A Comprehensive Survey on Process-Oriented Automatic Text Summarization
  with Exploration of LLM-Based Methods


Deep Learning on a Data Diet: Finding Important Examples Early in Training

Data-IQ: Characterizing subgroups with heterogeneous outcomes in tabular data

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

The Details Matter: Preventing Class Collapse in Supervised Contrastive Learning

AAAI Workshop on Artificial Intelligence with Biased or Scarce Data (AIBSD)

Does "Deep Learning on a Data Diet" reproduce? Overall yes, but GraNd at Initialization does not

Refined Coreset Selection: Towards Minimal Coreset Size under Model Performance Constraints

TRIAGE: Characterizing and auditing training data for improved regression

Dissecting Sample Hardness: A Fine-Grained Analysis of Hardness
  Characterization Methods for Data-Centric AI


Notebook example of how to generate class visualizations with Caffe

Temporal Segment Networks: Towards Good Practices for Deep Action Recognition

Learning Spatio-Temporal Representation with Pseudo-3D Residual Networks

Temporal Segment Networks for Action Recognition in Videos

Generic decoding of seen and imagined objects using hierarchical visual features

Factors in Finetuning Deep Model for object detection

Hierarchical Neural Representation of Dreamed Objects Revealed by Brain Decoding with Deep Neural Network Features

Feature Selective Networks for Object Detection

CHIP: Channel-Wise Disentangled Interpretation of Deep Convolutional Neural Networks

Learning Chained Deep Features and Classifiers for Cascade in Object Detection

Traditional Classification Neural Networks are Good Generators: They are Competitive with DDPMs and GANs


Manipulating the inner representations of StyleGAN2

Network Bending: Expressive Manipulation of Deep Generative Models

Network Bending: Manipulating The Inner Representations of Deep Generative Models.

Network Bending: Expressive Manipulation of Generative Models in Multiple Domains


⛵ Implementation a variety of popular Image Classification Models using TensorFlow2. [ResNet, GoogLeNet, VGG, Inception-v3, Inception-v4, MobileNet, MobileNet-v2, ShuffleNet, ShuffleNet-v2, etc...]

Deep Residual Learning for Image Recognition

Very Deep Convolutional Networks for Large-Scale Image Recognition

Going Deeper with Convolutions

Densely Connected Convolutional Networks

Squeeze-and-Excitation Networks

Rethinking the Inception Architecture for Computer Vision

MobileNetV2: Inverted Residuals and Linear Bottlenecks

Xception: Deep Learning with Depthwise Separable Convolutions

Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning

Identity Mappings in Deep Residual Networks


Migrating the SNP array-based homologous recombination deficiency measures to next generation sequencing data of breast cancer

Copy number signatures predict chromothripsis and clinical outcomes in newly diagnosed multiple myeloma

Determining homologous recombination deficiency scores with whole exome sequencing and their association with responses to neoadjuvant chemotherapy in breast cancer

Direct prediction of Homologous Recombination Deficiency from routine histology in ten different tumor types with attention-based Multiple Instance Learning: a development and validation study

medRxiv : the preprint server for health sciences


Code for "Temporal Difference Learning for Model Predictive Control"

TD-MPC2: Scalable, Robust World Models for Continuous Control

One Policy to Dress Them All: Learning to Dress People with Diverse Poses and Garments

MoVie: Visual Model-Based Policy Adaptation for View Generalization

Simplified Temporal Consistency Reinforcement Learning

Reparameterized Policy Learning for Multimodal Trajectory Optimization

IQL-TD-MPC: Implicit Q-Learning for Hierarchical Model Predictive Control

Sample-efficient Real-time Planning with Curiosity Cross-Entropy Method and Contrastive Learning


Latent space clustering in Generative Adversarial Network (GAN)

ClusterGAN : Latent Space Clustering in Generative Adversarial Networks

Attentive Representation Learning with Adversarial Training for Short Text Clustering

K-SHAP: Policy Clustering Algorithm for Anonymous Multi-Agent State-Action Pairs


UAV Path Planning for Wireless Data Harvesting: A Deep Reinforcement Learning Approach

UAV Path Planning using Global and Local Map Information with Deep Reinforcement Learning

Learning to Recharge: UAV Coverage Path Planning through Deep Reinforcement Learning


Data and analysis for the BuzzFeed News article, "Hyperpartisan Facebook Pages Are Publishing False And Misleading Information At An Alarming Rate."

A Stylometric Inquiry into Hyperpartisan and Fake News

Hong Kong Protests: Using Natural Language Processing for Fake News Detection on Twitter

IFIP advances in information and communication technology

Monant Medical Misinformation Dataset: Mapping Articles to Fact-Checked Claims

Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval

Disinformation Detection: A review of linguistic feature selection and classification models in news veracity assessments


Scalable implementation of DREAM - Deep RL for multi-agent imperfect information games

Deep Reinforcement Learning from Self-Play in Imperfect-Information Games

Deep Counterfactual Regret Minimization

DREAM: Deep Regret minimization with Advantage baselines and Model-free learning

Single Deep Counterfactual Regret Minimization

Hierarchical Deep Counterfactual Regret Minimization


The code for ComDefend: An Efficient Image Compression Model to Defend Adversarial Examples (CVPR2019)

Beware the Black-Box: On the Robustness of Recent Defenses to Adversarial Examples

Delving into Deep Image Prior for Adversarial Defense: A Novel Reconstruction-based Defense Framework


Edge server, user dataset for Edge Computing research

Optimal Edge User Allocation in Edge Computing with Variable Sized Vector Bin Packing

Online Collaborative Data Caching in Edge Computing

IEEE transactions on parallel and distributed systems

Cost-Effective App Data Distribution in Edge Computing

IEEE Transactions on Parallel and Distributed Systems

READ: Robustness-Oriented Edge Application Deployment in Edge Computing Environment

Trading off Between User Coverage and Network Robustness for Edge Server Placement

Cost-Effective App User Allocation in an Edge Computing Environment

Data, User and Power Allocations for Caching in Multi-Access Edge Computing

QoE-aware user allocation in edge computing systems with dynamic QoS

Robustness-oriented k Edge Server Placement

IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing

OL-EUA: Online User Allocation for NOMA-Based Mobile Edge Computing


Repository for NAACL 2019 paper on Citation Intent prediction

Structural Scaffolds for Citation Intent Classification in Scientific Publications

The Semantic Scholar Open Data Platform

A meta-analysis of semantic classification of citations

CiteBench: A benchmark for Scientific Citation Text Generation

Phocus: Picking Valuable Research from a Sea of Citations


Demo code for the MDAN paper.

Unsupervised Domain Adaptation by Backpropagation

On Learning Invariant Representation for Domain Adaptation

Multiple Source Domain Adaptation with Adversarial Training of Neural Networks

Unsupervised Noise Adaptive Speech Enhancement by Discriminator-Constrained Optimal Transport

Multi-source Attention for Unsupervised Domain Adaptation

Learning to Transfer with von Neumann Conditional Divergence

Ensemble Multi-Source Domain Adaptation with Pseudolabels

Achieving Reliable and Fair Skin Lesion Diagnosis via Unsupervised Domain Adaptation


Agricultural datasets


Code for paper "Document-Level Argument Extraction by Conditional Generation". NAACL 21'

Document-Level Event Argument Extraction by Conditional Generation

Prompt for Extraction? PAIE: Prompting Argument Interaction for Event Argument Extraction

DEGREE: A Data-Efficient Generative Event Extraction Model

Revisiting Event Argument Extraction: Can EAE Models Learn Better When Being Aware of Event Co-occurrences?

Role Knowledge Prompting for Document-Level Event Argument Extraction

Asking and Answering Questions to Extract Event-Argument Structures


Compendium of available lists of ligand-receptor pairs and surface-secreted protein interactions.

Systems Biology of Gut Microbiota-Human Receptor Interactions: Toward Anti-inflammatory Probiotics

Alzheimer's disease rewires gene coexpression networks coupling different brain regions

Resident and recruited macrophages differentially contribute to cardiac healing after myocardial ischemia


PyTorch implementation of the Offline Reinforcement Learning algorithm CQL. Includes the versions DQN-CQL and SAC-CQL for discrete and continuous action spaces.

Conservative Q-Learning for Offline Reinforcement Learning

Hybrid RL: Using Both Offline and Online Data Can Make RL Efficient

Monte Carlo Augmented Actor-Critic for Sparse Reward Deep Reinforcement Learning from Suboptimal Demonstrations

ELA: Exploited Level Augmentation for Offline Learning in Zero-Sum Games


COVID-Net Open Source Initiative - Models and Data for COVID-19 Detection in Chest CT

COVIDNet-CT: A Tailored Deep Convolutional Neural Network Design for Detection of COVID-19 Cases From Chest CT Images

COVID-Net CT-2: Enhanced Deep Neural Networks for Detection of COVID-19 from Chest CT Images Through Bigger, More Diverse Learning

COVIDx CT-3: A Large-scale, Multinational, Open-Source Benchmark Dataset for Computer-aided COVID-19 Screening from Chest CT Images

Virtual vs. Reality: External Validation of COVID-19 Classifiers using XCAT Phantoms for Chest Computed Tomography

Hybrid approach for COVID-19 detection from chest radiography

IJCI. International Journal of Computers and Information

Identification of images of COVID-19 from Chest Computed Tomography (CT) images using Deep learning: Comparing COGNEX VisionPro Deep Learning 1.0 Software with Open Source Convolutional Neural Networks

Investigation of Deep Convolutional Neural Network (CNN) approaches’ accuracy for the detection of COVID-19


Code to obtain the CNN / Daily Mail dataset (non-anonymized) for summarization

Get To The Point: Summarization with Pointer-Generator Networks

Newsroom: A Dataset of 1.3 Million Summaries with Diverse Extractive Strategies

R-Drop: Regularized Dropout for Neural Networks

Neural Document Summarization by Jointly Learning to Score and Select Sentences

Deep Reinforcement Learning For Sequence to Sequence Models

Neural Abstractive Text Summarization with Sequence-to-Sequence Models

exBAKE: Automatic Fake News Detection Model Based on Bidirectional Encoder Representations from Transformers (BERT)

Sequence Level Contrastive Learning for Text Summarization

A Survey of Automatic Text Summarization: Progress, Process and Challenges

SummPip: Unsupervised Multi-Document Summarization with Sentence Graph Compression

PROCEEDINGS OF THE 43RD INTERNATIONAL ACM SIGIR CONFERENCE ON RESEARCH AND DEVELOPMENT IN INFORMATION RETRIEVAL (SIGIR '20)


Hiera: A fast, powerful, and simple hierarchical vision transformer.

Deep Residual Learning for Image Recognition

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

Swin Transformer: Hierarchical Vision Transformer using Shifted Windows

Masked Autoencoders Are Scalable Vision Learners

Multiscale Vision Transformers

Hiera: A Hierarchical Vision Transformer without the Bells-and-Whistles


Learning to Explain: An Information-Theoretic Perspective on Model Interpretation

Can I Trust the Explainer? Verifying Post-hoc Explanatory Methods

Have We Learned to Explain?: How Interpretability Methods Can Learn to Encode Predictions in their Interpretations

Explaining Deep Neural Networks

A Deep Explainable Model for Fault Prediction Using IoT Sensors

ProtoGate: Prototype-based Neural Networks with Local Feature Selection for Tabular Biomedical Data

Copula for Instance-wise Feature Selection and Ranking


FITS: Frequency Interpolation Time Series Analysis Baseline

FITS: Modeling Time Series with 10k Parameters

An Analysis of Linear Time Series Forecasting Models

Revitalizing Multivariate Time Series Forecasting: Learnable
  Decomposition with Inter-Series Dependencies and Intra-Series Variations
  Modeling

TimeSeriesBench: An Industrial-Grade Benchmark for Time Series Anomaly
  Detection Models


MSRS: Multi-Spectral Road Scenarios for Practical Infrared and Visible Image Fusion

PIAFusion: A progressive infrared and visible image fusion network based on illumination aware

Infrared and Visible Image Fusion: Methods, Datasets, Applications, and Prospects

The Effect of Data Augmentation Methods on Pedestrian Object Detection

IFormerFusion: Cross-Domain Frequency Information Learning for Infrared and Visible Image Fusion Based on the Inception Transformer

Image Fusion via Vision-Language Model

MJ-GAN: Generative Adversarial Network with Multi-Grained Feature Extraction and Joint Attention Fusion for Infrared and Visible Image Fusion


InternLM-Math: Open Math Large Language Models Toward Verifiable
  Reasoning

Key-Point-Driven Data Synthesis with its Enhancement on Mathematical
  Reasoning

JiuZhang3.0: Efficiently Improving Mathematical Reasoning by Training
  Small Data Synthesis Models

Exploring the Mystery of Influential Data for Mathematical Reasoning


Parameterized Explainer for Graph Neural Network

DAG Matters! GFlowNets Enhanced Explainer For Graph Neural Networks

On the Probability of Necessity and Sufficiency of Explaining Graph Neural Networks: A Lower Bound Optimization Approach

Interpretable Prototype-based Graph Information Bottleneck

Globally Interpretable Graph Learning via Distribution Matching


Statistical Workload Injector for MapReduce - Project at UC Berkeley AMP Lab

Interactive Analytical Processing in Big Data Systems: A Cross-Industry Study of MapReduce Workloads

Deep Reinforcement Learning for Resource Management on Network Slicing: A Survey

A Self-Adaptive Approach for Managing Applications and Harnessing Renewable Energy for Sustainable Cloud Computing

IEEE Transactions on Sustainable Computing

Revisiting Size-Based Scheduling with Estimated Job Sizes

PSBS: Practical Size-Based Scheduling

Automating Distributed Tiered Storage Management in Cluster Computing

Near Optimal Coflow Scheduling in Networks

SPAA'19: PROCEEDINGS OF THE 31ST ACM SYMPOSIUM ON PARALLELISM IN ALGORITHMS AND ARCHITECTURESS, 2019

PRIMEBALL: A Parallel Processing Framework Benchmark for Big Data Applications in the Cloud

Practical Size-based Scheduling for MapReduce Workloads

A Survey of Big Data Machine Learning Applications Optimization in Cloud Data Centers and Networks


Codebase for evaluation of deep generative models as presented in Exposing flaws of generative model evaluation metrics and their unfair treatment of diffusion models

Analyzing and Improving the Training Dynamics of Diffusion Models

DOCCI: Descriptions of Connected and Contrasting Images

ZigMa: A DiT-style Zigzag Mamba Diffusion Model

Consistency Models Made Easy

Anomaly Score: Evaluating Generative Models and Individual Generated Images based on Complexity and Vulnerability


ReMixMatch: Semi-Supervised Learning with Distribution Alignment and Augmentation Anchoring

ReMixMatch: Semi-Supervised Learning with Distribution Matching and Augmentation Anchoring

Clustering by Maximizing Mutual Information Across Views

ReLaB: Reliable Label Bootstrapping for Semi-Supervised Learning

International Joint Conference on Neural Network


AFAD Tarballs

Deep neural networks for rank-consistent ordinal regression based on conditional probabilities

Universal Domain Adaptation in Ordinal Regression


Source code from the NeurIPS 2019 workshop article "Keep It Simple: Graph Autoencoders Without Graph Convolutional Networks" (G. Salha, R. Hennequin, M. Vazirgiannis) + k-core framework implementation from IJCAI 2019 article "A Degeneracy Framework for Scalable Graph Autoencoders" (G. Salha, R. Hennequin, V.A. Tran, M. Vazirgiannis)

Variational Graph Auto-Encoders

Simple and Effective Graph Autoencoders with One-Hop Linear Models


Official code for Self-supervised Learning of Adversarial Example: Towards Good Generalizations for Deepfake Detection (CVPR 2022 oral)

Block shuffling learning for Deepfake Detection

How Generalizable are Deepfake Image Detectors? An Empirical Study


Python package for modular Bayesian optimization

AutoML: A survey of the state-of-the-art

Deep Gaussian Processes for Regression using Approximate Expectation Propagation

Gradient-free Hamiltonian Monte Carlo with Efficient Kernel Exponential Families

Unbounded Bayesian Optimization via Regularization

Automatic Composition and Optimization of Multicomponent Predictive Systems With an Extended Auto-WEKA

IEEE Transactions on Automation Science and Engineering


MMBench: Is Your Multi-modal Model an All-around Player?

AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models

Benchmarking Benchmark Leakage in Large Language Models

LawBench: Benchmarking Legal Knowledge of Large Language Models

ChartBench: A Benchmark for Complex Visual Reasoning in Charts

FLM-101B: An Open LLM and How to Train It with $100K Budget

Meteor: Mamba-based Traversal of Rationale for Large Language and Vision
  Models

Chinese Tiny LLM: Pretraining a Chinese-Centric Large Language Model

Enabling Ensemble Learning for Heterogeneous Large Language Models with
  Deep Parallel Collaboration

Prism: A Framework for Decoupling and Assessing the Capabilities of VLMs


Reliability diagrams visualize whether a classifier model needs calibration

On Calibration of Modern Neural Networks

Uncertainty-aware Evaluation of Time-Series Classification for Online Handwriting Recognition with Domain Shift

Going Beyond One-Hot Encoding in Classification: Can Human Uncertainty Improve Model Performance?

Boosting Semi-Supervised Learning by bridging high and low-confidence predictions

SequenceMatch: Revisiting the design of weak-strong augmentations for Semi-supervised learning

The Open-World Lottery Ticket Hypothesis for OOD Intent Classification

Debiasing, calibrating, and improving Semi-supervised Learning performance via simple Ensemble Projector


Running the code you want to write as fast as the code you have to write

Automatic differentiation in machine learning: a survey

Automatic differentiation in ML: Where we are and where we should be going

Automatic Differentiation of Algorithms for Machine Learning


Unsupervised Sound Separation Using Mixture Invariant Training

Training Sound Event Detection On A Heterogeneous Dataset

Unsupervised Sound Separation Using Mixtures of Mixtures

AudioScopeV2: Audio-Visual Attention Architectures for Calibrated Open-Domain On-Screen Sound Separation

Improving On-Screen Sound Separation for Open-Domain Videos with Audio-Visual Self-Attention


Official code for ICML 2022: Mitigating Neural Network Overconfidence with Logit Normalization

Open-set Label Noise Can Improve Robustness Against Inherent Label Noise

Open-Sampling: Exploring Out-of-Distribution data for Re-balancing Long-tailed datasets

Diffusion Denoised Smoothing for Certified and Adversarial Robust Out-Of-Distribution Detection


PyTorch implementation of U-TAE and PaPs for satellite image time series panoptic segmentation.

Panoptic Segmentation of Satellite Image Time Series with Convolutional Temporal Attention Networks

Multi-Modal Temporal Attention Models for Crop Mapping from Satellite Time Series

UnCRtainTS: Uncertainty Quantification for Cloud Removal in Optical Satellite Time Series

DEFORESTATION DETECTION IN THE AMAZON WITH SENTINEL-1 SAR IMAGE TIME SERIES

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


Everything is Linkable

Root exudates and rhizosphere soil bacterial relationships of Nitraria tangutorum are linked to k-strategists bacterial community under salt stress

A comparison of microbial composition under three tree ecosystems using the stochastic process and network complexity approaches

The Gut Microbiota Determines the High-Altitude Adaptability of Tibetan Wild Asses (Equus kiang) in Qinghai-Tibet Plateau

Comparison of assembly process and co-occurrence pattern between planktonic and benthic microbial communities in the Bohai Sea

Effects of grazing intensity on diversity and composition of rhizosphere and non‐rhizosphere microbial communities in a desert grassland

Lessons from the diet: Captivity and sex shape the gut microbiota in an oviparous lizard (Calotes versicolor)

The spatial patterns of diversity and their relationships with environments in rhizosphere microorganisms and host plants differ along elevational gradients

Microbial community roles and chemical mechanisms in the parasitic development of Orobanche cumana

Improvement of Panax notoginseng saponin accumulation triggered by methyl jasmonate under arbuscular mycorrhizal fungi

Effects of different types of vegetation cover on soil microorganisms and humus characteristics of soda-saline land in the Songnen Plain


EuroSAT: Land Use and Land Cover Classification with Sentinel-2

EuroSAT: A Novel Dataset and Deep Learning Benchmark for Land Use and Land Cover Classification

Land Use and Land Cover Classification using a Human Group based Particle Swarm Optimization Algorithm with a LSTM classifier on hybrid-pre-processing Remote Sensing Images

MSMatch: Semi-Supervised Multispectral Scene Classification with Few Labels

Unsupervised Remote Sensing Image Retrieval Using Probabilistic Latent Semantic Hashing

IEEE Geoscience and Remote Sensing Letters

There Are No Data Like More Data: Datasets for deep learning in Earth observation

IEEE Geoscience and Remote Sensing Magazine

Land Use and Land Cover Classification Using CNN, SVM, and Channel Squeeze & Spatial Excitation Block

IOP Conference Series: Earth and Environmental Science

Model Spider: Learning to Rank Pre-Trained Models Efficiently

Deep Learning for Cross-Domain Few-Shot Visual Recognition: A Survey

Assessment of CNN-Based Methods for Poverty Estimation from Satellite Images

Fast and Accurate Transferability Measurement by Evaluating Intra-class Feature Variance


Derivative-Free Global Optimization Algorithm (C++, Python binding) - Continuous, Discrete, TSP, NLS, MINLP

DAHash: Distribution Aware Tuning of Password Hashing Costs

Password Strength Signaling: A Counter-Intuitive Defense Against Password Cracking

Cost-Asymmetric Memory Hard Password Hashing


MOS score prediction by fine-tuned wav2vec2.0 model

HIFI++: A Unified Framework for Bandwidth Extension and Speech Enhancement

Analysing Diffusion-based Generative Approaches Versus Discriminative Approaches for Speech Restoration

Diffusion Posterior Sampling for Informed Single-Channel Dereverberation

StreamVoice: Streamable Context-Aware Language Modeling for Real-time Zero-Shot Voice Conversion

1000 African Voices: Advancing inclusive multi-speaker multi-accent speech synthesis

Low-latency Real-time Voice Conversion on CPU

Building a Luganda Text-to-Speech Model From Crowdsourced Data

UnDiff: Unsupervised Voice Restoration with Unconditional Diffusion Model


Source code of the KDD19 paper "Deep anomaly detection with deviation networks", weakly/partially supervised anomaly detection, few-shot anomaly detection, semi-supervised anomaly detection

A Comprehensive Survey on Graph Anomaly Detection with Deep Learning

Deep Anomaly Detection with Deviation Networks

DGraph: A Large-Scale Financial Dataset for Graph Anomaly Detection


Pytorch implementation of paper 'GraphSMOTE: Imbalanced Node Classification on Graphs with Graph Neural Networks' to appear on WSDM2021

Distance-wise Prototypical Graph Neural Network in Node Imbalance Classification

Synthetic Over-sampling for Imbalanced Node Classification with Graph Neural Networks


A Neural Corpus Indexer for Document Retrieval

How Does Generative Retrieval Scale to Millions of Passages?

Listwise Generative Retrieval Models via a Sequential Learning Process


DBMDZ BERT, DistilBERT, ELECTRA, GPT-2 and ConvBERT models

Masked Language Model Scoring

Meeting of the Association for Computational Linguistics

German's Next Language Model

An Effective BERT-Based Pipeline for Twitter Sentiment Analysis: A Case Study in Italian

Unmasking Contextual Stereotypes: Measuring and Mitigating BERT's Gender Bias.

Mitigating Language-Dependent Ethnic Bias in BERT

GottBERT: a pure German Language Model

BERT, mBERT, or BiBERT? A Study on Contextualized Embeddings for Neural Machine Translation

Fake news detection: A survey of graph neural network methods

Czert -- Czech BERT-like Model for Language Representation

pysentimiento: A Python Toolkit for Opinion Mining and Social NLP tasks


How Powerful are Graph Neural Networks?

A Comprehensive Survey on Graph Neural Networks

IEEE transactions on neural networks and learning systems

How Powerful are Graph Neural Networks?

Deep Learning on Graphs: A Survey

GCC: Graph Contrastive Coding for Graph Neural Network Pre-Training

On the equivalence between graph isomorphism testing and function approximation with GNNs

Distance Encoding: Design Provably More Powerful Neural Networks for Graph Representation Learning

Random Features Strengthen Graph Neural Networks

Distance Encoding -- Design Provably More Powerful GNNs for Structural Representation Learning

K-Core based Temporal Graph Convolutional Network for Dynamic Graphs

IEEE Transactions on Knowledge and Data Engineering

Hierarchical message-passing graph neural networks


The implementation of "Bootstrapping Semantic Segmentation with Regional Contrast" [ICLR 2022].

Semi-supervised semantic segmentation needs strong, varied perturbations

ClassMix: Segmentation-Based Data Augmentation for Semi-Supervised Learning


ImageNet classifier with state-of-the-art adversarial robustness

Feature Denoising for Improving Adversarial Robustness

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

Intriguing properties of adversarial training at scale

Improving Adversarial Robustness via Channel-wise Activation Suppressing

Black-Box Adversarial Attack with Transferable Model-based Embedding

Diversity can be Transferred: Output Diversification for White- and Black-box Attacks

An Alternative Surrogate Loss for PGD-based Adversarial Testing

Boosting the Transferability of Adversarial Attacks with Reverse Adversarial Perturbation

Adversarial Attack on Attackers: Post-Process to Mitigate Black-Box Score-Based Query Attacks

CorrAttack: Black-box Adversarial Attack with Structured Search


FASTA/FASTQ pre-processing programs

Hybridization Capture Using RAD Probes (hyRAD), a New Tool for Performing Genomic Analyses on Collection Specimens

Developmental excitation-inhibition imbalance underlying psychoses revealed by single-cell analyses of discordant twins-derived cerebral organoids

RNA-Seq Perspectives to Improve Clinical Diagnosis

Dynamics of the Fouling Layer Microbial Community in a Membrane Bioreactor

Variation in Crossover Frequencies Perturb Crossover Assurance Without Affecting Meiotic Chromosome Segregation in Saccharomyces cerevisiae

Hypothalamic transcriptomic alterations in male and female California mice (Peromyscus californicus) developmentally exposed to bisphenol A or ethinyl estradiol

Continental-Scale Patterns Reveal Potential for Warming-Induced Shifts in Cattle Diet

Transcriptomic Effects of the Cell Cycle Regulator LGO in Arabidopsis Sepals

Rational attenuation of RNA viruses with zinc finger antiviral protein

Global forensic geolocation with deep neural networks


Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve Them

LLMLingua: Compressing Prompts for Accelerated Inference of Large Language Models

Prompt Engineering a Prompt Engineer

Universal Self-Adaptive Prompting

Automatic Engineering of Long Prompts

Teach Better or Show Smarter? On Instructions and Exemplars in Automatic Prompt Optimization

UniGen: A Unified Framework for Textual Dataset Generation Using Large
  Language Models


Python code for ICLR 2022 spotlight paper EViT: Expediting Vision Transformers via Token Reorganizations

Not All Patches are What You Need: Expediting Vision Transformers via Token Reorganizations

International Conference on Learning Representations

Joint Token Pruning and Squeezing Towards More Aggressive Compression of Vision Transformers


Code for the paper Analytic-DPM: an Analytic Estimate of the Optimal Reverse Variance in Diffusion Probabilistic Models (ICLR 2022 Outstanding Paper Award)

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

Fast Sampling of Diffusion Models with Exponential Integrator

On Inference Stability for Diffusion Models


SpinalNet: Deep Neural Network with Gradual Input

A Comprehensive Study on Torchvision Pre-trained Models for Fine-grained Inter-species Classification

SpinalXNet: Transfer Learning with Modified Fully Connected Layer for X-Ray Image Classification

IEEE INTERNATIONAL CONFERENCE ON RECENT ADVANCES IN SYSTEMS SCIENCE AND ENGINEERING (IEEE RASSE 2021)

Reduction of Class Activation Uncertainty with Background Information

Generating Synthetic Datasets by Interpolating along Generalized Geodesics

CoV-TI-Net: Transferred Initialization with Modified End Layer for COVID-19 Diagnosis


Fast multi-line FASTA/Q reader in several programming languages

Species Identification of Conyza bonariensis Assisted by Chloroplast Genome Sequencing

Whole-Genome Sequencing and Machine Learning Analysis of Staphylococcus aureus from Multiple Heterogeneous Sources in China Reveals Common Genetic Traits of Antimicrobial Resistance

Comparative genomics and association analysis identifies virulence genes of Cercospora sojina in soybean

Comparison of PCR versus PCR-Free DNA Library Preparation for Characterising the Human Faecal Virome

Draft Genome Sequences of Three Fusarium oxysporum f. sp. niveum Isolates Used in Designing Markers for Race Differentiation

Pathogenetic characterization of a Micrococcus luteus strain isolated from an infant

Genome sequence and pathogenicity of Vibrio vulnificus strain MCCC 1A08743 isolated from contaminated prawns

Chloroplast genome of silverleaf nightshade (Solanum elaeagnifolium Cav.), a Weed of National Significance in Australia


Code for ICML 2022 paper "Out-of-distribution Detection with Deep Nearest Neighbors"

Describing Textures in the Wild

The iNaturalist Species Classification and Detection Dataset

Out-of-Distribution Detection with Deep Nearest Neighbors

From Global to Local: Multi-Scale Out-of-Distribution Detection


LasHeR: A Large-Scale High-Diversity Benchmark for RGBT Tracking

Tiny Object Tracking: A Large-scale Dataset and A Baseline

Category-Oriented Localization Distillation for SAR Object Detection and a Unified Benchmark

IEEE Transactions on Geoscience and Remote Sensing

Thermal UAV Image Super-Resolution Guided by Multiple Visible Cues

UAV-Ground Visual Tracking: A Unified Dataset and Collaborative Learning Approach

IEEE transactions on circuits and systems for video technology


Paper list of KBQA

Core techniques of question answering systems over knowledge bases: a survey

Stepwise Reasoning for Multi-Relation Question Answering over Knowledge Graph with Weak Supervision

Learning to Answer Complex Questions over Knowledge Bases with Query Composition

PROCEEDINGS OF THE 28TH ACM INTERNATIONAL CONFERENCE ON INFORMATION & KNOWLEDGE MANAGEMENT (CIKM '19)

Complex Knowledge Base Question Answering: A Survey

Hierarchical Query Graph Generation for Complex Question Answering over Knowledge Graph

International Conference on Information and Knowledge Management

A Survey of Question Answering over Knowledge Base

KNOWLEDGE GRAPH AND SEMANTIC COMPUTING: KNOWLEDGE COMPUTING AND LANGUAGE UNDERSTANDING

Introduction to neural network-based question answering over knowledge graphs

Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery

PERQ: Predicting, Explaining, and Rectifying Failed Questions in KB-QA Systems


Paper 'Transformer based Pluralistic Image Completion with Reduced Information Loss' in TPAMI 2024 and 'Reduce Information Loss in Transformers for Pluralistic Image Inpainting' in CVPR2022

Zero-Shot Text-to-Image Generation


deepfake dataset collected on the web for deepfake detection

WildDeepfake: A Challenging Real-World Dataset for Deepfake Detection

Countering Malicious DeepFakes: Survey, Battleground, and Horizon

Deepfakes Generation and Detection: A Short Survey

DFDT: An End-to-End DeepFake Detection Framework Using Vision Transformer

A Review of Deep Learning-based Approaches for Deepfake Content Detection


Bird-eye's view for CARLA simulator

Learning by Cheating

Simulation-based reinforcement learning for real-world autonomous driving

Scenario-Based Curriculum Generation for Multi-Agent Autonomous Driving


BLEURT is a metric for Natural Language Generation based on transfer learning.

PaLM: Scaling Language Modeling with Pathways

BLEURT: Learning Robust Metrics for Text Generation

Well-Read Students Learn Better: On the Importance of Pre-training Compact Models

Encouraging Divergent Thinking in Large Language Models through Multi-Agent Debate

Automatic Machine Translation Evaluation in Many Languages via Zero-Shot Paraphrasing

AlignScore: Evaluating Factual Consistency with a Unified Alignment Function

Learning Compact Metrics for MT

The unreasonable effectiveness of few-shot learning for machine translation

CoNT: Contrastive Neural Text Generation

YouTube-ASL: A Large-Scale, Open-Domain American Sign Language-English Parallel Corpus


AutoFIS: Automatic  Feature Interaction Selection in Factorization  Models for  Click-Through Rate Prediction

User Response Prediction in Online Advertising

FIVES: Feature Interaction Via Edge Search for Large-Scale Tabular Data

Optimizing Feature Set for Click-Through Rate Prediction

Towards Hybrid-grained Feature Interaction Selection for Deep Sparse Network


An open dataset for object detection in remote sensing images

Aircraft Detection in High Spatial Resolution Remote Sensing Images Combining Multi-Angle Features Driven and Majority Voting CNN

CBA: Contextual Background Attack Against Optical Aerial Detection in the Physical World

RS-YOLOX: A High-Precision Detector for Object Detection in Satellite Remote Sensing Images

A Novel Effectively Optimized One-Stage Network for Object Detection in Remote Sensing Imagery

A Small Object Detection Algorithm Based on Modulated Deformable Convolution and Large Kernel Convolution

Computational intelligence and neuroscience

A Comprehensive Study on the Robustness of Image Classification and Object Detection in Remote Sensing: Surveying and Benchmarking

A Novel Method of Aircraft Detection under Complex Background Based on Circular Intensity Filter and Rotation Invariant Feature

YOLO-DSD: A YOLO-Based Detector Optimized for Better Balance between Accuracy, Deployability and Inference Time in Optical Remote Sensing Object Detection

SRFAD-Net: Scale-Robust Feature Aggregation and Diffusion Network for Object Detection in Remote Sensing Images

MPE-YOLO: enhanced small target detection in aerial imaging


Tackling the Generative Learning Trilemma with Denoising Diffusion GANs  https://arxiv.org/abs/2112.07804

An HCI-Centric Survey and Taxonomy of Human-Generative-AI Interactions

Restoration based Generative Models

On Inference Stability for Diffusion Models

Adversarial Schrödinger Bridge Matching


(ICCV'19 Best Paper Nomination) Larger Norm More Transferable: An Adaptive Feature Norm Approach for Unsupervised Domain Adaptation

Unsupervised Domain Adaptation: An Adaptive Feature Norm Approach.

Zero-Round Active Learning

A Reproducible and Realistic Evaluation of Partial Domain Adaptation Methods


A Survey on Heterogeneous Graph Embedding: Methods, Techniques, Applications and Sources

A Comprehensive Analytical Survey on Unsupervised and Semi-Supervised Graph Representation Learning Methods

Dual-Channel Heterogeneous Graph Network for Author Name Disambiguation


The Dakshina dataset is a collection of text in both Latin and native scripts for 12 South Asian languages. For each language, the dataset includes a large collection of native script Wikipedia text, a romanization lexicon of words in the native script with attested romanizations, and some full sentence parallel data in both a native script of the language and the basic Latin alphabet.

Processing South Asian Languages Written in the Latin Script: the Dakshina Dataset

Survey on Publicly Available Sinhala Natural Language Processing Tools and Research

Offensive Language Identification in Low-resourced Code-mixed Dravidian languages using Pseudo-labeling

MUCS@LT-EDI-EACL2021:CoHope-Hope Speech Detection for Equality, Diversity, and Inclusion in Code-Mixed Texts


A MATLAB toolbox for iPPG analysis.  The toolbox includes implementations of commonly used methods.

Camera Measurement of Physiological Vital Signs

iPhys: An Open Non-Contact Imaging-Based Physiological Measurement Toolbox

rPPG-Toolbox: Deep Remote PPG Toolbox

Neuron Structure Modeling for Generalizable Remote Physiological Measurement


Authors' implementation of EMNLP-IJCNLP 2019 paper "Answering Complex Open-domain Questions Through Iterative Query Generation"

Adaptive Information Seeking for Open-Domain Question Answering

Few-Shot Data Synthesis for Open Domain Multi-Hop Question Answering

Performance Prediction for Multi-hop Questions


Easily fine tune GPT-2 to fill in missing text

Enabling Language Models to Fill in the Blanks

Euphemistic Phrase Detection by Masked Language Model

Phrase-level Textual Adversarial Attack with Label Preservation

InFillmore: Frame-Guided Language Generation with Bidirectional Context


What Can Transformers Learn In-Context? A Case Study of Simple Function Classes

Understanding Catastrophic Forgetting in Language Models via Implicit Inference

Is Mamba Capable of In-Context Learning?

Benefits of Transformer: In-Context Learning in Linear Regression Tasks
  with Unstructured Data


Drone-based RGB-Infrared Cross-Modality Vehicle Detection via Uncertainty-Aware Learning

Drone-Based RGB-Infrared Cross-Modality Vehicle Detection Via Uncertainty-Aware Learning

Deep Learning for Unmanned Aerial Vehicle-Based Object Detection and Tracking: A survey

Improving RGB-Infrared Object Detection by Reducing Cross-Modality Redundancy

Improving YOLOv7-Tiny for Infrared and Visible Light Image Object Detection on Drones


A WaveRNN implementation

Efficient Neural Audio Synthesis

Improved Prosody from Learned F0 Codebook Representations for VQ-VAE Speech Waveform Reconstruction

Noise Tokens: Learning Neural Noise Templates for Environment-Aware Speech Enhancement

Pretraining Strategies, Waveform Model Choice, and Acoustic Configurations for Multi-Speaker End-to-End Speech Synthesis


AnnexML: Approximate Nearest Neighbor Search for Extreme Multi-label Classification

Data scarcity, robustness and extreme multi-label classification

Correlation Networks for Extreme Multi-label Text Classification

Large-Scale Training System for 100-Million Classification at Alibaba


Bayesian Program Learning model for one-shot learning

Spectroscopic characterization of isomerization transition states

One-shot Compositional Data Generation for Low Resource Handwritten Text Recognition

A Relational Model for One-Shot Classification


IP102: A Large-Scale Benchmark Dataset for Insect Pest Recognition

A Graph-Related High-Order Neural Network Architecture via Feature Aggregation Enhancement for Identification Application of Diseases and Pests

IoT-Enabled Pest Identification and Classification with New Meta-Heuristic-Based Deep Learning Framework

Detection of Rice Pests Based on Self-Attention Mechanism and Multi-Scale Feature Fusion

Pests Identification of IP102 by YOLOv5 Embedded with the Novel Lightweight Module

A YOLOv7 incorporating the Adan optimizer based corn pests identification method


AltBeacon Technical Specification

COVID-SAFE: An IoT-Based System for Automated Health Monitoring and Surveillance in Post-Pandemic Life

IEEE access : practical innovations, open solutions

Microlocation for Smart Buildings in the Era of the Internet of Things: A Survey of Technologies, Techniques, and Approaches

BLE Beacons in the Smart City: Applications, Challenges, and Research Opportunities

Secure system based on UAV and BLE for improving SAR missions

Journal of Ambient Intelligence and Humanized Computing

On Supporting University Communities in Indoor Wayfinding: An Inclusive Design Approach


A Unified MRC Framework for Named Entity Recognition

GPT-NER: Named Entity Recognition via Large Language Models

Dependency Parsing as MRC-based Span-Span Prediction


A clean and readable Pytorch implementation of CycleGAN

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

AI for radiographic COVID-19 detection selects shortcuts over signal

medRxiv : the preprint server for health sciences

Mutually Improved Endoscopic Image Synthesis and Landmark Detection in Unpaired Image-to-Image Translation

IEEE journal of biomedical and health informatics

Domain Adaptation via CycleGAN for Retina Segmentation in Optical Coherence Tomography


speech self-supervised representations

ContentVec: An Improved Self-Supervised Speech Representation by Disentangling Speakers

The VoicePrivacy 2024 Challenge Evaluation Plan

A Comparative Study of Voice Conversion Models With Large-Scale Speech and Singing Data: The T13 Systems for the Singing Voice Conversion Challenge 2023

VITS-Based Singing Voice Conversion System with DSPGAN Post-Processing for SVCC2023

Adversarial Speaker Disentanglement Using Unannotated External Data for Self-supervised Representation-based Voice Conversion

Leveraging Content-based Features from Multiple Acoustic Models for Singing Voice Conversion


word2vec Google News model slimmed down to 300k English words

Identifying Mislabeled Instances in Classification Datasets

International Joint Conference on Neural Network

Towards Grad-CAM Based Explainability in a Legal Text Processing Pipeline

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

AspectMMKG: A Multi-modal Knowledge Graph with Aspect-aware Entities


Context-adaptive Entropy Model for End-to-end Optimized Image Compression

Learning for Video Compression with Hierarchical Quality and Recurrent Enhancement

Learning for Video Compression With Recurrent Auto-Encoder and Recurrent Probability Model

IEEE Journal on Selected Topics in Signal Processing

Perceptual Learned Video Compression with Recurrent Conditional GAN

OpenDVC: An Open Source Implementation of the DVC Video Compression Method

Microdosing: Knowledge Distillation for GAN based Compression


Windowed Adaptive Trimming for fastq files using quality

Analysis of the Human Tissue-specific Expression by Genome-wide Integration of Transcriptomics and Antibody-based Proteomics

SOAPnuke: a MapReduce acceleration-supported software for integrated quality control and preprocessing of high-throughput sequencing data

Thousands of microbial genomes shed light on interconnected biogeochemical processes in an aquifer system

Swarm: robust and fast clustering method for amplicon-based studies

Characterization of the Gut Microbiome Using 16S or Shotgun Metagenomics

Gossypium barbadense and Gossypium hirsutum genomes provide insights into the origin and evolution of allotetraploid cotton

Metabolic network analysis reveals microbial community interactions in anammox granules

Microbes in the neonatal intensive care unit resemble those found in the gut of premature infants

DRAM for distilling microbial metabolism to automate the curation of microbiome function

Subsistence strategies in traditional societies distinguish gut microbiomes


This project is a tensorflow implement of our work, ECM (emotional chatting machine).

Neural Responding Machine for Short-Text Conversation

Emotional Chatting Machine: Emotional Conversation Generation with Internal and External Memory

Learning to Express in Knowledge-Grounded Conversation


Python library to compute knowledge graph embeddings

A Survey on Knowledge Graphs: Representation, Acquisition, and Applications

IEEE transactions on neural networks and learning systems

Holographic Embeddings of Knowledge Graphs

Representation Learning for Natural Language Processing

The KEEN Universe: An Ecosystem for Knowledge Graph Embeddings with a Focus on Reproducibility and Transferability

RDFFrames: Knowledge Graph Access for Machine Learning Tools


"3D Human Texture Estimation from a Single Image with Transformers", ICCV 2021 Oral

3D Human Shape and Pose from a Single Low-Resolution Image with Self-Supervised Learning

Learning Spatial and Spatio-Temporal Pixel Aggregations for Image and Video Denoising

3D Human Pose, Shape and Texture from Low-Resolution Images and Videos


ResUNet, a semantic segmentation model inspired by the deep residual learning and UNet. An architecture that take advantages from both(Residual and UNet) models.

Road Extraction by Deep Residual U-Net

IEEE Geoscience and Remote Sensing Letters

Deep Semantic Segmentation of Center Pivot Irrigation Systems from Remotely Sensed Data

A shape-attention Pivot-Net for identifying central pivot irrigation systems from satellite images using a cloud computing platform: an application in the contiguous US


About Code release for "Anomaly Transformer: Time Series Anomaly Detection with Association Discrepancy" (ICLR 2022 Spotlight), https://openreview.net/forum?id=LzQQ89U1qm_

Unsupervised Anomaly Detection via Variational Auto-Encoder for Seasonal KPIs in Web Applications

WEB CONFERENCE 2018: PROCEEDINGS OF THE WORLD WIDE WEB CONFERENCE (WWW2018)

When Model Meets New Normals: Test-time Adaptation for Unsupervised Time-series Anomaly Detection

PatchAD: A Lightweight Patch-based MLP-Mixer for Time Series Anomaly Detection

Multivariate Time Series Anomaly Detection: Fancy Algorithms and Flawed Evaluation Methodology


MEND: Fast Model Editing at Scale

Editing Factual Knowledge in Language Models

Fast Model Editing at Scale

Editable Neural Networks

Aging with GRACE: Lifelong Model Editing with Discrete Key-Value Adaptors

Can LMs Learn New Entities from Descriptions? Challenges in Propagating Injected Knowledge

Untying the Reversal Curse via Bidirectional Language Model Editing

Model Editing Harms General Abilities of Large Language Models: Regularization to the Rescue

CommonsenseVIS: Visualizing and Understanding Commonsense Reasoning Capabilities of Natural Language Models.

Perturbation-Restrained Sequential Model Editing

Neighboring Perturbations of Knowledge Editing on Large Language Models


A library for drawing space-filling curves like the Hilbert Curve.

A Survey on Cross-Architectural IoT Malware Threat Hunting

Lightweight IoT Malware Detection Solution Using CNN Classification

Image-based Malware Classification: A Space Filling Curve Approach

Best-Effort Adversarial Approximation of Black-Box Malware Classifiers


Using modified BiSeNet for face parsing in PyTorch

What makes fake images detectable? Understanding properties that generalize

M2TR: Multi-modal Multi-scale Transformers for Deepfake Detection

Gaussian Head Avatar: Ultra High-fidelity Head Avatar via Dynamic Gaussians

Content-Aware GAN Compression

Learning to Relight Portrait Images via a Virtual Light Stage and Synthetic-to-Real Adaptation

Gendered Differences in Face Recognition Accuracy Explained by Hairstyles, Makeup, and Facial Morphology

IEEE Transactions on Information Forensics and Security

Gender Slopes: Counterfactual Fairness for Computer Vision Models by Attribute Manipulation

Is Face Recognition Sexist? No, Gendered Hairstyles and Biology Are

Face Recognition Accuracy Across Demographics: Shining a Light Into the Problem

FFHQ-UV: Normalized Facial UV-Texture Dataset for 3D Face Reconstruction


Modeling Long- and Short-Term Temporal Patterns with Deep Neural Networks

A Time Series is Worth 64 Words: Long-term Forecasting with Transformers

SCINet: Time Series Modeling and Forecasting with Sample Convolution and Interaction

ETSformer: Exponential Smoothing Transformers for Time-series Forecasting

Multivariate Time Series Forecasting with Dynamic Graph Neural ODEs

The Capacity and Robustness Trade-off: Revisiting the Channel Independent Strategy for Multivariate Time Series Forecasting

Multivariate Time Series Forecasting with Transfer Entropy Graph

Frequency-domain MLPs are More Effective Learners in Time Series Forecasting

A Survey on Time-Series Pre-Trained Models

Historical Inertia: A Neglected but Powerful Baseline for Long Sequence Time-series Forecasting


Tools for state of the art Knowledge Base Completion.

Knowledge Graph Embedding for Link Prediction: A Comparative Analysis

Representation Learning for Dynamic Graphs: A Survey

Canonical Tensor Decomposition for Knowledge Base Completion

LibKGE - A knowledge graph embedding library for reproducible research

PROCEEDINGS OF THE 2020 CONFERENCE ON EMPIRICAL METHODS IN NATURAL LANGUAGE PROCESSING: SYSTEM DEMONSTRATIONS

Relation Prediction as an Auxiliary Training Objective for Improving Multi-Relational Graph Representations

On the Ambiguity of Rank-Based Evaluation of Entity Alignment or Link Prediction Methods

Link Prediction Using Multi Part Embeddings


ReActNet: Towards Precise Binary NeuralNetwork with Generalized Activation Functions. In ECCV 2020.

ReActNet: Towards Precise Binary Neural Network with Generalized Activation Functions

ReCU: Reviving the Dead Weights in Binary Neural Networks

RBNN: Memory-Efficient Reconfigurable Deep Binary Neural Network With IP Protection for Internet of Things

Input Layer Binarization with Bit-Plane Encoding

On-Device Learning with Binary Neural Networks


A methodology to assess the Real Impact of funds on social and environmental issues.


Enhanced LTSM for natural language inference

Enhanced LSTM for Natural Language Inference

PROCEEDINGS OF THE 55TH ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS (ACL 2017), VOL 1

Neural Natural Language Inference Models Enhanced with External Knowledge

PROCEEDINGS OF THE 56TH ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS (ACL), VOL 1

Social Link Inference via Multiview Matching Network From Spatiotemporal Trajectories

What If We Simply Swap the Two Text Fragments? A Straightforward yet Effective Way to Test the Robustness of Methods to Confounding Signals in Nature Language Inference Tasks

Several Experiments on Investigating Pretraining and Knowledge-Enhanced Models for Natural Language Inference

When data permutations are pathological: the case of neural natural language inference

Empirical Methods in Natural Language Processing

Soft Label Memorization-Generalization for Natural Language Inference

Generating Contradictory, Neutral, and Entailing Sentences


Creative Commons Attribution 4.0 International

The Westermo test results dataset

The Westermo test results data set


Original Full Repository of the Paper: "Domain-Adaptive Self-Supervised Pre-training for Face & Body Detection in Drawings"

Cross-Domain Weakly-Supervised Object Detection through Progressive Domain Adaptation

Object Detection for Comics using Manga109 Annotations

ACFD: Asymmetric Cartoon Face Detector

Domain-Adaptive Self-Supervised Face & Body Detection in Drawings


Scripts to help transposable elements consensus sequences curation

Structure of the germline genome of Tetrahymena thermophila and relationship to the massively rearranged somatic genome

Improved Genome Assembly and Annotation for the Rock Pigeon (Columba livia)

Comparative analyses identify genomic features potentially involved in the evolution of birds-of-paradise

The First Genome of the Balearic Shearwater (Puffinus mauretanicus) Provides a Valuable Resource for Conservation Genomics and Sheds Light on Adaptation to a Pelagic lifestyle


A suite of routines for constructing and fitting linear transit timing variation models.

TESS hunt for young and maturing exoplanets (THYME). IV. Three small planets orbiting a 120 Myr old star in the pisces-eridanus stream

Prospects for TTV Detection and Dynamical Constraints with TESS

TESS and CHEOPS discover two warm sub-Neptunes transiting the bright K-dwarf HD 15906

Monthly notices of the Royal Astronomical Society

TOI-969: a late-K dwarf with a hot mini-Neptune in the desert and an eccentric cold Jupiter


A repository for the GLEAM 4-Jy (G4Jy) Sample

The GLEAM 4-Jy (G4Jy) Sample: I. Definition and the catalogue

Publications of the Astronomical Society of Australia

The GLEAM 4-Jy (G4Jy) Sample: II. Host galaxy identification for individual sources

MeerKAT follow-up of enigmatic GLEAM 4-Jy (G4Jy) sources

Monthly Notices of the Royal Astronomical Society


Fitting and Assessment of Synthetic Templates  - an IDL-based code that fits stellar population synthesis templates to broadband photometry and/or spectra.

X-rays across the galaxy population - II. The distribution of AGN accretion rates as a function of stellar mass and redshift

X-rays across the galaxy population – III. The incidence of AGN as a function of star formation rate

X-ray flares from the stellar tidal disruption by a candidate supermassive black hole binary

The Lyman Continuum Escape Fraction of Galaxies and AGN in the GOODS Fields


Riborex: Fast and flexible identification of differential translation from Ribo-seq data

LncRNA-Encoded Peptide: Functions and Predicting Methods

Riborex: fast and flexible identification of differential translation from Ribo-seq data

Tracing Translational Footprint by Ribo-Seq: Principle, Workflow, and Applications to Understand the Mechanism of Human Diseases


Large Language Models Can Be Strong Differentially Private Learners

Opacus: User-Friendly Differential Privacy Library in PyTorch

Efficient Per-Example Gradient Computations

Scalable and Efficient Training of Large Convolutional Neural Networks with Differential Privacy

On the Convergence and Calibration of Deep Learning with Differential Privacy.

Differentially Private Sharpness-Aware Training


Mixed Kalman-Fuzzy Sliding Mode State Observer in Disturbance Rejection Control of a Vibrating Smart Structure Atta Oveisi*1, Tamara Nestorović1 1Ruhr-Universität Bochum, Mechanik adaptiver Systeme, Institut Computational Engineering, D-44801, Bochum, Germany.  E-Mail: atta.oveisi@rub.de  ABSTRACT In the controllers that are synthesized on a nominal model of the nonlinear plant, the parametric matched uncertainties and nonlinear/unmodeled dynamics of high order nature can significantly affect the performance of the closed-loop system. In this note, owing to the robust character of the sliding mode observer against modeling perturbations, measurement noise, and unknown disturbances and due to the non-fragile behavior of the Kalman filter against process noise, a mixed Kalman sliding mode state-observer is proposed and later enhanced by the addition of an intelligent fuzzy agent. In light of the proposed technique, the chattering phenomena and the conservative boundary neighboring layer of the high gain sliding mode observer are addressed. Then, a robust active disturbance rejection controller is developed by using static feedback of the estimated states using direct Lyapunov quadratic stability Theorem. The reduced order plant for control design purposes is subjected to some simulated square-integrable disturbances and is assumed to have mismatch uncertainties in system matrices. Finally, the robust performance of the closed-loop scheme with respect to the mentioned perturbation signals and modeling imperfections is tested by implementing the control system on a mechanical vibrating smart cantilever beam. Keywords: Fuzzy system; Nonlinear control; Active disturbance rejection; Kalman Filter; Vibration suppression.

Nonlinear system identification in structural dynamics: 10 more years of progress

Mechanical Systems and Signal Processing

Robust observer-based adaptive fuzzy sliding mode controller

From Nonlinear to Fuzzy Approaches in Trajectory Tracking Control of Wheeled Mobile Robots

A new adaptive fuzzy sliding mode observer for a class of MIMO nonlinear systems

Multivariable predictive control for vibrating structures: An application

Active vibration control of an arbitrary thick smart cylindrical panel with optimally placed piezoelectric sensor/actuator pairs

International Journal of Mechanics and Materials in Design

Improving active control of fan noise with automatic spectral reshaping for reference signal

Robust reliable control in vibration suppression of sandwich circular plates

A new non-fragile H ∞ proportional—integral filtered-error adaptive observer for a class of non-linear systems and its application to synchronous generators

Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering

Transient response of an active nonlinear sandwich piezolaminated plate

Communications in nonlinear science & numerical simulation


Low level analysis for MIBI images

Multimodal Analysis of Composition and Spatial Architecture in Human Squamous Cell Carcinoma

Combined protein and nucleic acid imaging reveals virus-dependent B cell and macrophage immunosuppression of tissue microenvironments

Spatial epitope barcoding reveals clonal tumor patch behaviors


A repository for the EMNLP 2021 paper "Is Information Density Uniform in Task-Oriented Dialogues?" and for the CoNLL 2021 paper "Analysing Human Strategies of Information Transmission as a Function of Discourse Context".

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

Proceedings of the 25th Conference on Computational Natural Language Learning

Construction Repetition Reduces Information Rate in Dialogue


Measure redshifts and emission/absorption lines in 1D galaxy spectra.

Astronomy and Astrophysics - Near infrared spectroscopy and star-formation histories of 3 ≤ z ≤ 4 quiescent galaxies

Quiescent Galaxies 1.5 Billion Years after the Big Bang and Their Progenitors

The Massive Ancient Galaxies at z > 3 NEar-infrared (MAGAZ3NE) Survey: Confirmation of Extremely Rapid Star Formation and Quenching Timescales for Massive Galaxies in the Early Universe

A massive quiescent galaxy confirmed in a protocluster at z=3.09

A population of faint, old, and massive quiescent galaxies at 3 < z < 4 revealed by JWST NIRSpec Spectroscopy

The VANDELS survey: global properties of CIII]λ1908Å emitting star-forming galaxies at z∼3

COSMOS2020: Discovery of a Protocluster of Massive Quiescent Galaxies at z = 2.77

A hyper luminous starburst at z=4.72 magnified by a lensing galaxy pair at z=1.48

Insights into the reionization epoch from cosmic-noon-CIV emitters in the VANDELS survey

The FENIKS Survey: Spectroscopic Confirmation of Massive Quiescent Galaxies at z ~ 3-5


This is the source code for the following website.

Distance measures in gravitational-wave astrophysics and cosmology

Jumping the Gap: Searching for LIGO's Biggest Black Holes

Limits on runaway growth of intermediate mass black holes from advanced LIGO

The afterglow of GW170817 from every angle: prospects for detecting the afterglows of binary neutron star mergers


Multimodal SuperCon: Classifier for Drivers of Deforestation in Indonesia

ForestNet: Classifying Drivers of Deforestation in Indonesia using Deep Learning on Satellite Imagery

Rotation Equivariant Deforestation Segmentation and Driver Classification

Multimodal SuperCon: classifier for drivers of deforestation in Indonesia


Deep direct likelihood knockoffs

Deep Direct Likelihood Knockoffs

Normalizing Flows for Knockoff-free Controlled Feature Selection


Named-entity datasets and GloVe models for the Armenian language

pioNER: Datasets and Baselines for Armenian Named Entity Recognition

2018 Ivannikov Ispras Open Conference (ISPRAS)

Word Embeddings for the Armenian Language: Intrinsic and Extrinsic Evaluation

Describing Language Variation in the Colophons of Armenian Manuscripts


A heuristic for listing almost-clique minimal separators of a graph

Hardness of Random Reordered Encodings of Parity for Resolution and CDCL


Protein-Ligand Scoring with Convolutional Neural Networks

Journal of chemical information and modeling

Protein Family-Specific Models Using Deep Neural Networks and Transfer Learning Improve Virtual Screening and Highlight the Need for More Data

libmolgrid: GPU Accelerated Molecular Gridding for Deep Learning Applications


Code for "ATTA: Anomaly-aware Test-Time Adaptation for Out-of-Distribution Detection in Segmentation" (NeurIPS 23)

Scaling Out-of-Distribution Detection for Real-World Settings

Pixel-wise Energy-biased Abstention Learning for Anomaly Segmentation on Complex Urban Driving Scenes


A TensorFlow [2.0] implementation of ProSeNet: "Interpretable and Steerable Sequence Learning via Prototypes" (Ming et al., 2019)

ECG Heartbeat Classification: A Deep Transferable Representation

IEEE International Conference on Healthcare Informatics

Learning to Select Prototypical Parts for Interpretable Sequential Data Modeling


About Code for the paper "NASH: A Simple Unified Framework of Structured Pruning for Accelerating Encoder-Decoder Language Models" (EMNLP 2023 Findings)

Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer

BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension

Structured Pruning Learns Compact and Accurate Models


SPLATNet: Sparse Lattice Networks for Point Cloud Processing (CVPR2018)

SemanticKITTI: A Dataset for Semantic Scene Understanding of LiDAR Sequences

A Dataset for Semantic Segmentation of Point Cloud Sequences

Point Cloud Processing via Recurrent Set Encoding

The Fusion Strategy of 2D and 3D Information Based on Deep Learning: A Review


Quantum Natural Language Processing (QNLP)'s project repository for Qiskit Hackathon Europe.

QNLP in Practice: Running Compositional Models of Meaning on a Quantum Computer

Foundations for Near-Term Quantum Natural Language Processing

Category Theory for Quantum Natural Language Processing


Pytorch official implementation for Imitating Unknown Policies via Exploration.

Behavioral Cloning from Observation

Imitating Latent Policies from Observation


The GitHub open source software repository on interpreting super-resolution CNNs for sub-pixel motion compensation in video coding

Improved CNN-Based Learning of Interpolation Filters for Low-Complexity Inter Prediction in Video Coding

Interpreting CNN For Low Complexity Learned Sub-Pixel Motion Compensation In Video Coding

International Conference on Information Photonics

Interpreting Super-Resolution CNNs for Sub-Pixel Motion Compensation in Video Coding

PROCEEDINGS OF THE 29TH ACM INTERNATIONAL CONFERENCE ON MULTIMEDIA, MM 2021


A Python port, including numerous model updates, of the Coastal Impacts and Adaptation Model

Estimating Global Damages from Sea Level Rise with the Coastal Impact and Adaptation Model (CIAM)


Multivariate Gaussian Models for Genomic and Pedigree Data

Multi-Trait Multi-Environment Genomic Prediction of Agronomic Traits in Advanced Breeding Lines of Winter Wheat

Multitrait Bayesian shrinkage and variable selection models with the BGLR-R package

Genomic Bayesian Confirmatory Factor Analysis and Bayesian Network To Characterize a Wide Spectrum of Rice Phenotypes

Genetic Contribution to Variation in Blood Calcium, Phosphorus, and Alkaline Phosphatase Activity in Pigs

Structural equation modeling for investigating multi-trait genetic architecture of udder health in dairy cattle

Bayesian Networks Illustrate Genomic and Residual Trait Connections in Maize (Zea mays L.)

Deciphering Cattle Temperament Measures Derived From a Four-Platform Standing Scale Using Genetic Factor Analytic Modeling


standalone pedsim library (pedestrian simulator using social force model)

A Real-Time Approach for Chance-Constrained Motion Planning With Dynamic Obstacles

International Conference on Robotics and Automation

Principles and Guidelines for Evaluating Social Robot Navigation Algorithms

Group Surfing: A Pedestrian-Based Approach to Sidewalk Robot Navigation

MengeROS: a Crowd Simulation Tool for Autonomous Robot Navigation

Improving Pedestrian Prediction Models With Self-Supervised Continual Learning

HuNavSim: A ROS 2 Human Navigation Simulator for Benchmarking Human-Aware Robot Navigation

Iterative Program Synthesis for Adaptable Social Navigation

Simulators for Mobile Social Robots: State-of-the-Art and Challenges

Tight Collision Probability for UAV Motion Planning in Uncertain Environment

Learning Sensor Placement from Demonstration for UAV networks


Genome assembly soft-masking using Red (REpeat Detector)

The Genome of the Margined White Butterfly (Pieris macdunnoughii): Sex Chromosome Insights and the Power of Polishing with PoolSeq Data

Comparative Genome Analysis Across 128 Phytophthora Isolates Reveal Species-Specific Microsatellite Distribution and Localized Evolution of Compartmentalized Genomes

Navigating Eukaryotic Genome Annotation Pipelines: A Route Map to
  BRAKER, Galba, and TSEBRA


BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension

Recipes for building an open-domain chatbot

Retrieve and Refine: Improved Sequence Generation Models For Dialogue


PROUD is an open-source high-throughput distributed outlier detection engine for intense data streams that is implemented in Scala on top of the Apache Flink framework.

Continuous Outlier Mining of Streaming Data in Flink

PROUD: PaRallel OUtlier Detection for Streams

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

Multi-parameter streaming outlier detection


Conditional Image Synthesis With Auxiliary Classifier GANs

Evaluation Metrics for Conditional Image Generation

International Journal of Computer Vision

Manifold Topology Divergence: a Framework for Comparing Data Manifolds


Code and data to the publication "SpikE: spike-based embeddings for multi-relational graph data".

Learning Through Structure: Towards Deep Neuromorphic Knowledge Graph Embeddings

Neuro-symbolic computing with spiking neural networks


DeepSphere: a graph-based spherical CNN (TensorFlow)

DeepSphere: Efficient spherical convolutional neural network with HEALPix sampling for cosmological applications

DeepSphere: a graph-based spherical CNN

DeepSphere: towards an equivariant graph-based spherical CNN

DeepSphere: a graph-based spherical CNN (ICLR'20 spotlight)


GWsky defines a sequence of Fields of View (FoV) from a fixed position over the sky

Implications of the search for optical counterparts during the second part of the Advanced LIGO's and Advanced Virgo's third observing run: lessons learned for future follow-up observations

Multi Order Coverage data structure to plan multi-messenger observations

Search for the optical counterpart of the GW170814 gravitational wave event with the VLT Survey Telescope

Gravitational Waves optical follow-up at VST


vesselNN

Dense Volume-to-Volume Vascular Boundary Detection

Recursive Training of 2D-3D Convolutional Networks for Neuronal Boundary Detection

ZNN - A Fast and Scalable Algorithm for Training 3D Convolutional Networks on Multi-Core and Many-Core Shared Memory Machines

International Parallel and Distributed Processing Symposium

Deep Learning Convolutional Networks for Multiphoton Microscopy Vasculature Segmentation


Global analysis platform for fluorescence data

FRET-based dynamic structural biology: Challenges, perspectives and an appeal for open-science practices

Integrative structural dynamics probing of the conformational heterogeneity in synaptosomal-associated protein 25

Integrative dynamic structural biology unveils conformers essential for the oligomerization of a large GTPase

FRET nanoscopy enables seamless imaging of molecular assemblies with sub-nanometer resolution

Coevolution and smFRET Enhances Conformation Sampling and FRET Experimental Design in Tandem PDZ1–2 Proteins


Code for L4DC 2022 paper: Joint Synthesis of Safety Certificate and Safe Control Policy Using Constrained Reinforcement Learning.

Reachability Constrained Reinforcement Learning

Joint Synthesis of Safety Certificate and Safe Control Policy using Constrained Reinforcement Learning

Feasible Actor-Critic: Constrained Reinforcement Learning for Ensuring Statewise Safety

Mixed Policy Gradient

Learn Zero-Constraint-Violation Policy in Model-Free Constrained Reinforcement Learning


Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor

Addressing Function Approximation Error in Actor-Critic Methods

Optimization Methods for Interpretable Differentiable Decision Trees in Reinforcement Learning

Learning Interpretable, High-Performing Policies for Autonomous Driving

Interpretable Reinforcement Learning for Robotics and Continuous Control


Automatic Speech Recognition Benchmark for Air-Traffic Communications

BERTraffic: BERT-based Joint Speaker Role and Speaker Change Detection for Air Traffic Control Communications

ATCO2 corpus: A Large-Scale Dataset for Research on Automatic Speech Recognition and Natural Language Understanding of Air Traffic Control Communications


abawaca is a binning program for metagenomics

Recovering complete and draft population genomes from metagenome datasets

Bacterial Secondary Metabolite Biosynthetic Potential in Soil Varies with Phylum, Depth, and Vegetation Type

RubisCO of a nucleoside pathway known from Archaea is found in diverse uncultivated phyla in bacteria

Unusual respiratory capacity and nitrogen metabolism in a Parcubacterium (OD1) of the Candidate Phyla Radiation

Stable-Isotope-Informed, Genome-Resolved Metagenomics Uncovers Potential Cross-Kingdom Interactions in Rhizosphere Soil

Depth-related variability in viral communities in highly stratified sulfidic mine tailings

Viruses interact with hosts that span distantly related microbial domains in dense hydrothermal mats

Microbial Hotspots in Lithic Microhabitats Inferred from DNA Fractionation and Metagenomics in the Atacama Desert

Protein Family Content Uncovers Lineage Relationships and Bacterial Pathway Maintenance Mechanisms in DPANN Archaea

Genome-resolved metagenomics using environmental and clinical samples


Repository for the ERA-NUTS dataset.

ERA-NUTS: time-series based on C3S ERA5 for European regions

Zenodo (CERN European Organization for Nuclear Research)


A simple, clean TensorFlow implementation of Generative Adversarial Networks with a focus on modeling illustrations.

Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks

Improved Techniques for Training GANs

Generative Adversarial Networks (GANs)

Towards the Automatic Anime Characters Creation with Generative Adversarial Networks


Suite of command-line software for high-performance graphical analysis of ChIP-seq/RNA-seq/ATAC-seq data

Productive visualization of high-throughput sequencing data using the SeqCode open portable platform

Differential contribution to gene expression prediction of histone modifications at enhancers or promoters


Parallelizing the queries in a bucket-brigade quantum random access memory

QUANTIFY: A framework for resource analysis and design verification of quantum circuits

Fast quantum circuit simulation using hardware accelerated general purpose libraries


Intelligent Health Care: Applications of Deep Learning in Computational Medicine

Exploring 3D chromatin contacts in gene regulation: The evolution of approaches for the identification of functional enhancer-promoter interaction

Computational and structural biotechnology journal

EnContact: predicting enhancer-enhancer contacts using sequence-based deep learning model

Machine and deep learning methods for predicting 3D genome organization


DEPRECATED: Use Cenote-Taker 3 instead

Discovery of several thousand highly diverse circular DNA viruses

Environmental viromes reveal the global distribution signatures of deep-sea DNA viruses

Environmental viromes reveal global virosphere of deep-sea sediment RNA viruses


Notebooks to calculate tree diversity indices (Shannon and Simpson) for planners, foresters, and ecologists!


NewsQA: A Machine Comprehension Dataset

Learning to Ask: Neural Question Generation for Reading Comprehension

Neural Question Generation from Text: A Preliminary Study

Diversify Question Generation with Retrieval-Augmented Style Transfer


Decomposition-based peak identification, which find peaks across a large number of TSS (transcription starting site) profiles

FANTOM5 CAGE profiles of human and mouse samples

DUX4 is a multifunctional factor priming human embryonic genome activation

Transcriptomic diversity in human medullary thymic epithelial cells

Comprehensive characterization of the embryonic factor LEUTX

Monitoring transcription initiation activities in rat and dog

An Evaluation of Function of Multicopy Noncoding RNAs in Mammals Using ENCODE/FANTOM Data and Comparative Genomics

Transcription start site profiling of 15 anatomical regions of the Macaca mulatta central nervous system


A set of scripts and functions for analyzing MeDIP-seq datasets

Assessment of Glyphosate Induced Epigenetic Transgenerational Inheritance of Pathologies and Sperm Epimutations: Generational Toxicology

Genome-wide CpG density and DNA methylation analysis method (MeDIP, RRBS, and WGBS) comparisons

Vinclozolin induced epigenetic transgenerational inheritance of pathologies and sperm epimutation biomarkers for specific diseases

Epigenetic inheritance of DNA methylation changes in fish living in hydrogen sulfide–rich springs

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

Sperm epimutation biomarkers of obesity and pathologies following DDT induced epigenetic transgenerational inheritance of disease

Epigenome-wide association study for glyphosate induced transgenerational sperm DNA methylation and histone retention epigenetic biomarkers for disease

Epigenetic transgenerational inheritance of testis pathology and Sertoli cell epimutations: generational origins of male infertility

Epigenome-wide association study for pesticide (Permethrin and DEET) induced DNA methylation epimutation biomarkers for specific transgenerational disease

Environmental health : a global access science source

Epigenome-wide association study for atrazine induced transgenerational DNA methylation and histone retention sperm epigenetic biomarkers for disease

Transgenerational sperm DMRs escape DNA methylation erasure during embryonic development and epigenetic inheritance


Pre-training BART model for the Italian Language

mT5: A massively multilingual pre-trained text-to-text transformer

BART-IT: An Efficient Sequence-to-Sequence Model for Italian Text Summarization

IT5: Large-scale Text-to-text Pretraining for Italian Language Understanding and Generation


TSPPD Test Instance Library

Exponential-Size Neighborhoods for the Pickup-and-Delivery Traveling Salesman Problem


Pretrained Biomedical Name Encoder

Conceptual Grounding Constraints for Truly Robust Biomedical Name Representations

Conference of the European Chapter of the Association for Computational Linguistics

Scalable Few-Shot Learning of Robust Biomedical Name Representations

Workshop on Biomedical Natural Language Processing

Integrating Higher-Level Semantics into Robust Biomedical Name Representations

International Workshop on Health Text Mining and Information Analysis


Matlab and Python scripts for calculating functional coupling between time series data

The Dynamics of Functional Brain Networks: Integrated Network States during Cognitive Task Performance

Temporal metastates are associated with differential patterns of time-resolved connectivity, network topology, and attention

The modulation of neural gain facilitates a transition between functional segregation and integration in the brain

Catecholaminergic manipulation alters dynamic network topology across cognitive states

Structural connections between the noradrenergic and cholinergic system shape the dynamics of functional brain networks

Catecholaminergic Manipulation Alters Dynamic Network Topology Across Behavioral States

Dynamic reconfiguration of macaque brain networks during natural vision

Parallel processing relies on a distributed, low-dimensional cortico-cerebellar architecture


Implementations of var-sortability, sortnregress, and chain-orientation as presented in the article "Beware of the Simulated DAG": https://arxiv.org/abs/2102.13647.

Beware of the Simulated DAG! Causal Discovery Benchmarks May Be Easy To Game

A Scale-Invariant Sorting Criterion to Find a Causal Order in Additive Noise Models

Stable Differentiable Causal Discovery


SPH code for compressible flows

Improving convergence in smoothed particle hydrodynamics simulations without pairing instability

A general class of Lagrangian smoothed particle hydrodynamics methods and implications for fluid mixing problems

Monthly Notices of the Royal Astronomical Society

A DENSITY-INDEPENDENT FORMULATION OF SMOOTHED PARTICLE HYDRODYNAMICS

Hydrodynamic simulations with the Godunov smoothed particle hydrodynamics


Codes for "NAST: A Non-Autoregressive Generator with Word Alignment for Unsupervised Text Style Transfer" (ACL 2021 findings)

Style Transformer: Unpaired Text Style Transfer without Disentangled Latent Representation

A Probabilistic Formulation of Unsupervised Text Style Transfer

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


Measuring Robustness in Deep Learning Based Compressive Sensing

Adversarial Robust Training of Deep Learning MRI Reconstruction Models

Adversarial Robust Training in MRI Reconstruction.


A simple framework for distributed reinforcement learning in PyTorch.

Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor

Soft Actor-Critic Algorithms and Applications

Distributed Prioritized Experience Replay

Soft Actor-Critic for Discrete Action Settings


Enriched Domain Detector for ChIP-seq data

Enriched domain detector: a program for detection of wide genomic enrichment domains robust against local variations

Cellular and Genomic Features of Muscle Differentiation from Isogenic Fibroblasts and Myoblasts


Generalised and highly customisable, hybrid-parallelism, database based, deep learning framework.

Deep Learning Based Recommender System

AI-enabled Efficient and Safe Food Supply Chain

Nemesyst: A hybrid parallelism deep learning-based framework applied for internet of things enabled food retailing refrigeration systems


Github for the conference paper GLOD-Gaussian Likelihood OOD detector

A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks

Enhancing The Reliability of Out-of-distribution Image Detection in Neural Networks

Deep Anomaly Detection with Outlier Exposure

FOOD: Fast Out-Of-Distribution Detector

GLOD: Gaussian Likelihood Out of Distribution Detector.


Deep Residual Learning for Image Recognition

Region-Based Convolutional Networks for Accurate Object Detection and Segmentation

Identity Mappings in Deep Residual Networks

An overview of gradient descent optimization algorithms

Вестник компьютерных и информационных технологий


Uncovering new families and folds in the natural protein universe

What is hidden in the darkness? Deep-learning assisted large-scale protein family curation uncovers novel protein families and folds


some useful scripts for working with genomics and sequencing data

Unusual biology across a group comprising more than 15% of domain Bacteria

Ecology of inorganic sulfur auxiliary metabolism in widespread bacteriophages

Genome-resolved metagenomics reveals site-specific diversity of episymbiotic CPR bacteria and DPANN archaea in groundwater ecosystems

Metagenome-assembled genomes provide new insight into the microbial diversity of two thermal pools in Kamchatka, Russia

Large Freshwater Phages with the Potential to Augment Aerobic Methane Oxidation

Machine Learning Leveraging Genomes from Metagenomes Identifies Influential Antibiotic Resistance Genes in the Infant Gut Microbiome

Targeted Genome Editing of Bacteria Within Microbial Communities

Leave no stone unturned: individually adapted xerotolerant Thaumarchaeota sheltered below the boulders of the Atacama Desert hyperarid core

910 metagenome-assembled genomes from the phytobiomes of three urban-farmed leafy Asian greens

Colonial choanoflagellate isolated from Mono Lake harbors a microbiome


NMF Code for calculating components from Brain imaging data.

An exact penalty approach for optimization with nonnegative orthogonality constraints

Investigating structural subdivisions of the anterior cingulate cortex in schizophrenia, with implications for treatment resistance and glutamatergic levels

Journal of psychiatry & neuroscience : JPN

Development of White Matter Fiber Covariance Networks Supports Executive Function in Youth

bioRxiv : the preprint server for biology

Age-dependent white matter disruptions after military traumatic brain injury: Multivariate analysis results from ENIGMA brain injury.

Mapping the Macrostructure and Microstructure of the in vivo Human Hippocampus using Diffusion MRI

The Spatial Patterns and Determinants of Cerebrospinal Fluid Circulation in the Human Brain


Symbolic physics learner: Discovering governing equations via Monte Carlo tree search

Vertical Symbolic Regression


A Pytorch implementation of StarGAN-VC2

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

Parallel-Data-Free Voice Conversion Using Cycle-Consistent Adversarial Networks

StarGAN-VC2: Rethinking Conditional Methods for StarGAN-Based Voice Conversion


FIRECAM: Fire Inventories - Regional Evaluation, Comparison, and Metrics

Global fire emissions estimates during 1997–2016

The Fire INventory from NCAR (FINN): a high resolution global model to estimate the emissions from open burning

Biomass burning emissions estimated with a global fire assimilation system based on observed fire radiative power

Global top-down smoke aerosol emissions estimation using satellite fire radiative power measurements

Diagnosing spatial biases and uncertainties in global fire emissions inventories: Indonesia as regional case study


Derivative-Informed Neural Operator: An Efficient Framework for High-Dimensional Parametric Derivative Learning

Efficient PDE-Constrained optimization under high-dimensional uncertainty using derivative-informed neural operators


[Findings of EMNLP 2022] Holistic Sentence Embeddings for Better Out-of-Distribution Detection

A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks

A Simple Unified Framework for Detecting Out-of-Distribution Samples and Adversarial Attacks

Energy-based Out-of-distribution Detection

Fine-Tuning Deteriorates General Textual Out-of-Distribution Detection by Distorting Task-Agnostic Features


Tensorflow implementation of  "Show, Attend and Tell: Neural Image Caption Generation with Visual Attention"

Improving Sequence-to-Sequence Learning via Optimal Transport

CulturAI: Semantic Enrichment of Cultural Data Leveraging Artificial Intelligence


A Survey on Homomorphic Encryption Schemes: Theory and Implementation

ASTRA: High Throughput 3PC over Rings with Application to Secure Prediction

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

Deep Neural Networks Classification over Encrypted Data

PROCEEDINGS OF THE NINTH ACM CONFERENCE ON DATA AND APPLICATION SECURITY AND PRIVACY (CODASPY '19)

Faster Secure Data Mining via Distributed Homomorphic Encryption


Improved Training of Wasserstein GANs

Improved Techniques for Training GANs

Wasserstein GAN

Generative Adversarial Text to Image Synthesis


Code to perform multivariate linear regression using Gibbs sampling

Cosmology and Astrophysics from Relaxed Galaxy Clusters III: Thermodynamic Profiles and Scaling Relations

A Gibbs Sampler for Multivariate Linear Regression

Coping with selection effects: a Primer on regression with truncated data

The Concentration-Mass Relation of Massive, Dynamically Relaxed Galaxy Clusters: Agreement Between Observations and ΛCDM Simulations


Science Colour Maps is a small package containing several colour maps created using viscm.

Forensic reconstruction of galaxy colour evolution and population characterization

Galaxy quenching time-scales from a forensic reconstruction of their colour evolution

Revealing the Nature of a Lyα Halo in a Strongly Lensed Interacting System at z = 2.92


Robust Multiple Kernel K-means using L21-norm

Low-rank kernel learning for graph-based clustering

Self-weighted Multiple Kernel Learning for Graph-based Clustering and Semi-supervised Classification

Twin Learning for Similarity and Clustering: A Unified Kernel Approach

Unified Spectral Clustering with Optimal Graph

Clustering with Similarity Preserving

Similarity Learning via Kernel Preserving Embedding

Discriminative Multiple Kernel Concept Factorization for Data Representation


CREAK: A Dataset for Commonsense Reasoning over Entity Knowledge

Vera: A General-Purpose Plausibility Estimation Model for Commonsense Statements

SituatedGen: Incorporating Geographical and Temporal Contexts into Generative Commonsense Reasoning


A selection of state-of-the-art research materials on trajectory prediction

A survey on motion prediction and risk assessment for intelligent vehicles

Learning Social Etiquette: Human Trajectory Understanding In Crowded Scenes

Context-Based Pedestrian Path Prediction

Multipolicy decision-making for autonomous driving via changepoint-based behavior prediction: Theory and experiment

Walking Ahead: The Headed Social Force Model

Context-Based Path Prediction for Targets with Switching Dynamics

Learning Collective Crowd Behaviors with Dynamic Pedestrian-Agents

BRVO: Predicting pedestrian trajectories using velocity-space reasoning

The International Journal of Robotics Research

Group LSTM: Group Trajectory Prediction in Crowded Scenarios

Survey on Vision-based Path Prediction


This repository contains our implementations for Shilling Attacks against Recommender Systems.

Attacking Recommender Systems with Augmented User Profiles

International Conference on Information and Knowledge Management

Shilling Black-Box Recommender Systems by Learning to Generate Fake User Profiles

IEEE transactions on neural networks and learning systems

Single-User Injection for Invisible Shilling Attack against Recommender Systems

Practical Cross-System Shilling Attacks with Limited Access to Data


A tool for automatic spelling normalization

A Large-Scale Comparison of Historical Text Normalization Systems

North American Chapter of the Association for Computational Linguistics

Improving historical spelling normalization with bi-directional LSTMs and multi-task learning

Normalizing Medieval German Texts: from rules to deep learning

Learning attention for historical text normalization by learning to pronounce

PROCEEDINGS OF THE 55TH ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS (ACL 2017), VOL 1

Cross-lingual Cross-temporal Summarization: Dataset, Models, Evaluation


Local projection methods for impulse response estimation

Government Spending Multipliers in Good Times and in Bad: Evidence from U.S. Historical Data

Identification and Estimation of Dynamic Causal Effects in Macroeconomics Using External Instruments

HAR Inference: Recommendations for Practice

Journal of business & economic statistics

Impulse Response Estimation by Smooth Local Projections


Cohort Shapley: A local explanation method for black box prediction with only observed data

Explaining black box decisions by Shapley cohort refinement

Cohort Shapley value for algorithmic fairness

Variable importance without impossible data


AMR Eager trained on English, German, Italian, Spanish and Chinese

An Incremental Parser for Abstract Meaning Representation

Cross-lingual Abstract Meaning Representation Parsing

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

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

POTATO: exPlainable infOrmation exTrAcTion framewOrk


PyTorch toolkit for streaming speech recognition, speech translation and simultaneous translation based on fairseq.

Transformers with convolutional context for ASR

Emformer: Efficient Memory Transformer Based Acoustic Model For Low Latency Streaming Speech Recognition

Monotonic Multihead Attention

CIF: Continuous Integrate-and-Fire for End-to-End Speech Recognition

Exploring Continuous Integrate-and-Fire for Adaptive Simultaneous Speech Translation


Script to perform statistical significance test between ASR hypotheses.

LAE: Language-Aware Encoder for Monolingual and Multilingual ASR

SoftCorrect: Error Correction with Soft Detection for Automatic Speech Recognition

Integrating Lattice-Free MMI Into End-to-End Speech Recognition

IEEE/ACM Transactions on Audio, Speech, and Language Processing

Partitioned Gradient Matching-based Data Subset Selection for Compute-Efficient Robust ASR Training

Improving child speech recognition with augmented child-like speech


MHC-peptide class II interaction prediction, binding, presentation

BERTMHC: improved MHC–peptide class II interaction prediction with transformer and multiple instance learning

DeepMHCII: a novel binding core-aware deep interaction model for accurate MHC-II peptide binding affinity prediction

BERTMHC: Improves MHC-peptide class II interaction prediction with transformer and multiple instance learning


Code to compute and test structural decoupling index (Preti & Van De Ville 2019)

Decoupling of brain function from structure reveals regional behavioral specialization in humans

A synergistic core for human brain evolution and cognition

Age-Related Trajectories of Brain Structure–Function Coupling in Female Roller Derby Athletes


Using backtracking line search as learning rate finder for Neural Nets. Pytorch repo.

Convergence to minima for the continuous version of Backtracking Gradient Descent

Some convergent results for Backtracking Gradient Descent method on Banach spaces

Backtracking gradient descent method for general C^1 functions, with applications to Deep Learning

Backtracking Gradient Descent allowing unbounded learning rates

Unconstrained optimisation on Riemannian manifolds

Asymptotic behaviour of learning rates in Armijo's condition

Coordinate-wise Armijo's condition


Code for the paper "RAP: Robustness-Aware Perturbations for Defending against Backdoor Attacks on NLP Models" (EMNLP 2021)

ONION: A Simple and Effective Defense Against Textual Backdoor Attacks

Backdoor Attack against NLP models with Robustness-Aware Perturbation defense


INCOME: An Easy Repository for Training and Evaluation of Index Compression Methods in Dense Retrieval. Includes BPR and JPQ.

Unsupervised Dense Information Retrieval with Contrastive Learning

Efficiently Teaching an Effective Dense Retriever with Balanced Topic Aware Sampling

GPL: Generative Pseudo Labeling for Unsupervised Domain Adaptation of Dense Retrieval

Injecting Domain Adaptation with Learning-to-hash for Effective and Efficient Zero-shot Dense Retrieval


A permutation test (aka randomization test) for MATLAB.

Olfactory loss and brain connectivity after COVID-19

Cerebellar and Cortical Correlates of Internal and External Speech Error Monitoring

Catching a Liar Through Facial Expression of Fear

Endocytic trafficking determines cellular tolerance of presynaptic opioid signaling

A critical role for CaMKII in behavioral timescale synaptic plasticity in hippocampal CA1 pyramidal neurons

Is there evidence for a noisy computation deficit in developmental dyslexia?

Weather Patterns Associated with DON Levels in Norwegian Spring Oat Grain: A Functional Data Approach


Learning diverse options through the Laplacian representation.

Eigenoption Discovery through the Deep Successor Representation

Deep Laplacian-based Options for Temporally-Extended Exploration

Towards Better Laplacian Representation in Reinforcement Learning with Generalized Graph Drawing


Visualize Arctic and Antarctic sea ice


BottomUpTopDown VQA model with question-type debiasing

Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answering

Don't Take the Easy Way Out: Ensemble Based Methods for Avoiding Known Dataset Biases

Introspective Distillation for Robust Question Answering


Graph matching and clustering by comparing heat kernels via optimal transport.

Generalized Spectral Clustering via Gromov-Wasserstein Learning

A Convergent Single-Loop Algorithm for Relaxation of Gromov-Wasserstein in Graph Data

Outlier-Robust Gromov-Wasserstein for Graph Data


Pioneer Networks: Progressively Growing Generative Autoencoder

Semi-supervised image attribute editing using generative adversarial networks

A Plug-in Method for Representation Factorization in Connectionist Models


Implementation of Combat harmonization method with scikit-learn compatible format

Hierarchical Bayesian Regression for Multi-Site Normative Modeling of Neuroimaging Data

Site effects how-to and when: An overview of retrospective techniques to accommodate site effects in multi-site neuroimaging analyses

Individual variation underlying brain age estimates in typical development

Closing the life-cycle of normative modeling using federated hierarchical Bayesian regression


Type-Sensitive Knowledge Base Inference Without Explicit Type Supervision

PROCEEDINGS OF THE 56TH ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS, VOL 2

AutoETER: Automated Entity Type Representation for Knowledge Graph Embedding

SMiLE: Schema-augmented Multi-level Contrastive Learning for Knowledge Graph Link Prediction