Methods of training NLP models to ignored biased strategies

SQuAD: 100,000+ Questions for Machine Comprehension of Text

TriviaQA: A Large Scale Distantly Supervised Challenge Dataset for Reading Comprehension

Right for the Wrong Reasons: Diagnosing Syntactic Heuristics in Natural Language Inference

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

Issues with Entailment-based Zero-shot Text Classification

Meeting of the Association for Computational Linguistics

Language Prior Is Not the Only Shortcut: A Benchmark for Shortcut Learning in VQA


An easy-to-use tool for phrase encoding and topic mining (unsupervised aspect extraction); Code base for ACL 2022 paper, UCTopic: Unsupervised Contrastive Learning for Phrase Representations and Topic Mining.

LUKE: Deep Contextualized Entity Representations with Entity-aware Self-attention


A challenging, in the wild dataset for experimentation with face masks with 63,072 face images.

How to Correctly Detect Face-Masks for COVID-19 from Visual Information?

IoT and Deep Learning Based Approach for Rapid Screening and Face Mask Detection for Infection Spread Control of COVID-19

A Survey on Masked Facial Detection Methods and Datasets for Fighting Against COVID-19

IEEE Transactions on Artificial Intelligence

Real-time social distance measurement and face mask detection in public transportation systems during the COVID-19 pandemic and post-pandemic Era: Theoretical approach and case study in Italy Transportation Research Interdisciplinary Perspectives

Transportation research interdisciplinary perspectives

State of the Art of Quality Assessment of Facial Images


[SIGIR 2020] Python implementation for "TAGNN: Target Attentive Graph Neural Networks for Session-based Recommendation"

A Survey on Session-based Recommender Systems

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

PAS: A Position-Aware Similarity Measurement for Sequential Recommendation

IEEE International Joint Conference on Neural Network


Rapid experimentation and scaling of deep learning models on molecular and crystal graphs.

HuggingFace's Transformers: State-of-the-art Natural Language Processing

Fast Graph Representation Learning with PyTorch Geometric

PyTorch Distributed: Experiences on Accelerating Data Parallel Training

Scalable Geometric Deep Learning on Molecular Graphs


Code for EMNLP 2018 paper "Auto-Encoding Dictionary Definitions into Consistent Word Embeddings"

Empirical Methods in Natural Language Processing

Bridging the Defined and the Defining: Exploiting Implicit Lexical Semantic Relations in Definition Modeling

Embedding Structured Dictionary Entries

Proceedings of the First Workshop on Insights from Negative Results in NLP

Multi-Relational Hyperbolic Word Embeddings from Natural Language Definitions


Source codes and dataset of Call for Customized Conversation: Customized Conversation Grounding Persona and Knowledge


Skew Gaussian Processes by Alessio Benavoli, Dario Azzimonti and Dario Piga

Preferential Bayesian optimisation with Skew Gaussian Processes

Skew Gaussian Processes for Classification

A unified framework for closed-form nonparametric regression, classification, preference and mixed problems with Skew Gaussian Processes

Bayesian Optimisation for Sequential Experimental Design with Applications in Additive Manufacturing

Towards Practical Preferential Bayesian Optimization with Skew Gaussian Processes


Here we share the NTU datasets to all the researchers who are working on biometrics and forensics field.

Palmprint Recognition in Uncontrolled and Uncooperative Environment

IEEE Transactions on Information Forensics and Security

A Study on Wrist Identification for Forensic Investigation

The Nipple-Areola Complex for Criminal Identification

Palmprint Recognition in Uncontrolled and Unco-operative Environment

International Journal for Research in Applied Science and Engineering Technology


Tensorflow implementation of Fast Geometrically-Perturbed Adversarial Faces

AdvFaces: Adversarial Face Synthesis

FaceGuard: A Self-Supervised Defense Against Adversarial Face Images

Unified Detection of Digital and Physical Face Attacks


Generating non-stationary multi-sensor signals under a spatial coherence constraint

Learning Deep Direct-Path Relative Transfer Function for Binaural Sound Source Localization

Scaling sparsemax based channel selection for speech recognition with ad-hoc microphone arrays

Attention-based multi-channel speaker verification with ad-hoc microphone arrays

Multi-Channel Far-Field Speaker Verification with Large-Scale Ad-hoc Microphone Arrays

Self-Supervised Learning of Spatial Acoustic Representation with Cross-Channel Signal Reconstruction and Multi-Channel Conformer


Utilities to calculate kinematic distances

The HI/OH/Recombination line survey of the inner Milky Way (THOR): data release 2 and H I overview

The Galactic dynamics revealed by the filamentary structure in atomic hydrogen emission

Atomic and molecular gas properties during cloud formation

The diffuse interstellar band around 8620 Å II. Kinematics and distance of the DIB carrier

Probing the global dust properties and cluster formation potential of the giant molecular cloud G148.24+00.41

Monthly notices of the Royal Astronomical Society

Modelled 3D distribution of OH/IR stars in the Galactic disc

Monthly Notices of the Royal Astronomical Society


Implementation of AAAI2021 paper: Invariant Teacher and Equivariant Student for Unsupervised 3D Human Pose Estimation

3D human pose estimation in video with temporal convolutions and semi-supervised training

Semantic Graph Convolutional Networks for 3D Human Pose Regression

C3DPO: Canonical 3D Pose Networks for Non-Rigid Structure From Motion


PEBBLE: Feedback-Efficient Interactive Reinforcement Learning via Relabeling Experience and Unsupervised Pre-training

SURF: Semi-supervised Reward Learning with Data Augmentation for Feedback-efficient Preference-based Reinforcement Learning

Reward Uncertainty for Exploration in Preference-based Reinforcement Learning

Efficient Preference-based Reinforcement Learning via Aligned Experience Estimation


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

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

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

AUV position estimation via acoustic seabed profile measurements

AUV navigation with seabed acoustic sensing

Mediterranean Conference on Control and Automation


Implementations of data poisoning attacks against neural networks and related defenses.

Strong Data Augmentation Sanitizes Poisoning and Backdoor Attacks Without an Accuracy Tradeoff

Poison Ink: Robust and Invisible Backdoor Attack

DP-InstaHide: Provably Defusing Poisoning and Backdoor Attacks with Differentially Private Data Augmentations

What Doesn't Kill You Makes You Robust(er): How to Adversarially Train against Data Poisoning

Have You Poisoned My Data? Defending Neural Networks against Data
  Poisoning


pytorch implementation of Parametric Noise Injection for adversarial defense

Parametric Noise Injection: Trainable Randomness to Improve Deep Neural Network Robustness against Adversarial Attack

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

Unifying Gradients to Improve Real-World Robustness for Deep Networks


Baseline for the CNLI corpus

A Decomposable Attention Model 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

Analogical Reasoning on Chinese Morphological and Semantic Relations

Soft Representation Learning for Sparse Transfer


WikiDiverse: A Multimodal Entity Linking Dataset with Diversified Contextual Topics and Entity Types

Named Entity and Relation Extraction with Multi-Modal Retrieval

Benchmarking Diverse-Modal Entity Linking with Generative Models


Code for TEDVAE, a VAE-based treatment effect estimation algorithm.

Treatment effect estimation with disentangled latent factors

A Unified Survey of Treatment Effect Heterogeneity Modelling and Uplift Modelling

Targeted VAE: Variational and Targeted Learning for Causal Inference

A unified survey of treatment effect heterogeneity modeling and uplift modeling

Disentangled Representation for Causal Mediation Analysis

Causal Inference with Conditional Instruments using Deep Generative Models

Learning Conditional Instrumental Variable Representation for Causal Effect Estimation


About The official GitHub page for ''Rethinking the Evaluation for Conversational Recommendation in the Era of Large Language Models''  Resources

Recommender Systems in the Era of Large Language Models (LLMs)

Concept -- An Evaluation Protocol on Conversation Recommender Systems
  with System- and User-centric Factors

How Reliable is Your Simulator? Analysis on the Limitations of Current LLM-based User Simulators for Conversational Recommendation


Android in the Wild: A Large-Scale Dataset for Android Device Control

GPT-4V in Wonderland: Large Multimodal Models for Zero-Shot Smartphone GUI Navigation

You Only Look at Screens: Multimodal Chain-of-Action Agents

MobileAgent: enhancing mobile control via human-machine interaction and SOP integration


The ParroT framework to enhance and regulate the Translation Abilities during Chat based on open-sourced LLMs (e.g., LLaMA-7b, Bloomz-7b1-mt) and human written translation and evaluation data.

ParroT: Translating during Chat using Large Language Models tuned with Human Translation and Feedback

Improving Translation Faithfulness of Large Language Models via Augmenting Instructions

Findings of the WMT 2023 Shared Task on Discourse-Level Literary Translation: A Fresh Orb in the Cosmos of LLMs

Agent-SiMT: Agent-assisted Simultaneous Machine Translation with Large Language Models


Disentangled Self-Supervision in Sequential Recommenders

Intent Contrastive Learning for Sequential Recommendation

Improving Micro-video Recommendation via Contrastive Multiple Interests

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

Generating Negative Samples for Sequential Recommendation


False discovery rate regression

Covariate Adaptive False Discovery Rate Control With Applications to Omics-Wide Multiple Testing

ZAP: Z-value Adaptive Procedures for False Discovery Rate Control with Side Information

Two-Component Mixture Model in the Presence of Covariates


JAVELIN is now working under Python 3!

Accretion disc sizes from continuum reverberation mapping of AGN selected from the ZTF survey

Broad-line region in NGC 4151 monitored by two decades of reverberation mapping campaigns. I. Evolution of structure and kinematics

A Negative Long Lag from the Optical to the UV Continuum in Fairall 9

Multiwavelength Variation Phenomena of PKS 0735+178 on Diverse Timescales

How Can the Optical Variation Properties of Active Galactic Nuclei Be Unbiasedly Measured?

On the nature of the continuum reverberation of X-ray/UV and optical emission of IRAS 09149-6206

Spectroscopic reverberation mapping of Quasar PKS 0736 + 017: broad-line region and black-hole mass

Negative Lags on the Viscous Timescale in Quasar Photometry and Prospects for Detecting More with LSST


KDD 2021: Multivariate Time Series Anomaly Detection and Interpretation using Hierarchical Inter-Metric and Temporal Embedding

Correlation-aware Spatial-Temporal Graph Learning for Multivariate Time-series Anomaly Detection

A Survey of Time Series Anomaly Detection Methods in the AIOps Domain

Beyond Sharing: Conflict-Aware Multivariate Time Series Anomaly Detection

LPC-AD: Fast and Accurate Multivariate Time Series Anomaly Detection via Latent Predictive Coding


Hipsterize your cat with deep learning. Put glasses on!

Efficient Geometry-aware 3D Generative Adversarial Networks

GRAM-HD: 3D-Consistent Image Generation at High Resolution with Generative Radiance Manifolds


DenseCL + regionCL-D

Momentum Contrast for Unsupervised Visual Representation Learning

Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour

Improved Baselines with Momentum Contrastive Learning

Dense Contrastive Learning for Self-Supervised Visual Pre-Training

RegionCL: Can Simple Region Swapping Contribute to Contrastive Learning?


Source code (back-end and front-end) of our main website, which monitors greenhouse gases emissions reports by organizations


An R package for fast and efficient visualizing of GWAS results using Q-Q and Manhattan plots directly from PLINK output files.

A GWAS in Latin Americans identifies novel face shape loci, implicating VPS13B and a Denisovan introgressed region in facial variation

fastman: A fast algorithm for visualizing GWAS results using Manhattan and Q-Q plots

Automatic landmarking identifies new loci associated with face morphology and implicates Neanderthal introgression in human nasal shape

Genetic architecture of natural variation of cardiac performance from flies to humans


MB-GMN, SIGIR 2021

Graph Meta Network for Multi-Behavior Recommendation

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

Compressed Interaction Graph based Framework for Multi-behavior Recommendation


Neural Network Enumeration Tool

Reluplex: An Efficient SMT Solver for Verifying Deep Neural Networks

Verification of Deep Convolutional Neural Networks Using ImageStars

Improved Geometric Path Enumeration for Verifying ReLU Neural Networks

The Second International Verification of Neural Networks Competition (VNN-COMP 2021): Summary and Results

A Review of Formal Methods applied to Machine Learning

The Third International Verification of Neural Networks Competition (VNN-COMP 2022): Summary and Results

VPN: Verification of Poisoning in Neural Networks

ZoPE: A Fast Optimizer for ReLU Networks with Low-Dimensional Inputs


Matlab implementation of our works on online hashing

Supervised Online Hashing via Hadamard Codebook Learning

Towards Optimal Discrete Online Hashing with Balanced Similarity

Hadamard Matrix Guided Online Hashing


Contrastive Learning for Domain Adaptation of Time Series

Deep Domain Confusion: Maximizing for Domain Invariance

On Minimum Discrepancy Estimation for Deep Domain Adaptation

A Survey on Time-Series Pre-Trained Models

Contrastive Learning for Unsupervised Domain Adaptation of Time Series


replicAnt - generating annotated images of animals in complex environments with Unreal Engine

replicAnt: A pipeline for generating annotated images of animals in complex environments using Unreal Engine


Code for ICDM2020 full paper: "Sub-graph Contrast for Scalable Self-Supervised Graph Representation Learning"

Graph Self-Supervised Learning: A Survey

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

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


LeCaRDv2: A Large-Scale Chinese Legal Case Retrieval Dataset

Explicitly Integrating Judgment Prediction with Legal Document Retrieval: A Law-Guided Generative Approach


MiniSeg: An Extremely Minimum Network for Efficient COVID-19 Segmentation

MiniSeg: An Extremely Minimum Network Based on Lightweight Multiscale Learning for Efficient COVID-19 Segmentation

IEEE transactions on neural networks and learning systems

A convolutional neural network with pixel-wise sparse graph reasoning for COVID-19 lesion segmentation in CT images

CoRSAI: A System for Robust Interpretation of CT Scans of COVID-19 Patients Using Deep Learning

PSGR: Pixel-wise Sparse Graph Reasoning for COVID-19 Pneumonia Segmentation in CT Images


3D Extension of the Cellpose Algorithm by Stringer et al., 2021.

Cellpose: a generalist algorithm for cellular segmentation

Robust 3D Cell Segmentation: Extending the View of Cellpose

Contributions of deep learning to automated numerical modelling of the interaction of electric fields and cartilage tissue based on 3D images

Frontiers in bioengineering and biotechnology


Z-GCNETs: Time Zigzags at Graph Convolutional Networks for Time Series Forecasting

A Survey on Graph Neural Networks for Time Series: Forecasting, Classification, Imputation, and Anomaly Detection

Graph Neural Rough Differential Equations for Traffic Forecasting


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


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

Get To The Point: Summarization with Pointer-Generator Networks

Multiresolution Recurrent Neural Networks: An Application to Dialogue Response Generation

A Hierarchical Latent Variable Encoder-Decoder Model for Generating Dialogues

Towards a Robust Deep Neural Network in Texts: A Survey


Explaining a black-box using Deep Variational Information Bottleneck Approach

Explaining A Black-box By Using A Deep Variational Information Bottleneck Approach

A Framework to Learn with Interpretation

Listen to Interpret: Post-hoc Interpretability for Audio Networks with NMF


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


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


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

Segment Any Point Cloud Sequences by Distilling Vision Foundation Models

Multi-Space Alignments Towards Universal LiDAR Segmentation


Diffusion Model is an Effective Planner and Data Synthesizer for Multi-Task Reinforcement Learning

Large-Scale Actionless Video Pre-Training via Discrete Diffusion for
  Efficient Policy Learning


Implementations of many meta-learning algorithms to solve the few-shot learning problem in Pytorch

Prototypical Networks for Few-shot Learning

Probabilistic Model-Agnostic Meta-Learning

Amortized Bayesian Meta-Learning

International Conference on Learning Representations

Uncertainty in Model-Agnostic Meta-Learning using Variational Inference

SynerGPT: In-Context Learning for Personalized Drug Synergy Prediction and Drug Design

PAC-Bayes meta-learning with implicit task-specific posteriors


Reconstructive Neuron Pruning for Backdoor Defense (ICML 2023)

Fisher Information guided Purification against Backdoor Attacks

Unveiling and Mitigating Backdoor Vulnerabilities based on Unlearning
  Weight Changes and Backdoor Activeness


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


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

Hierarchical Few-Shot Generative Models

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


TIMERS: Document-level Temporal Relation Extraction

Severing the Edge Between Before and After: Neural Architectures for Temporal Ordering of Events

Easy, Reproducible and Quality-Controlled Data Collection with CROWDAQ

Discriminative Reasoning with Sparse Event Representation for Document-level Event-Event Relation Extraction

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Temporal Relation Extraction with Joint Semantic and Syntactic Attention

Computational intelligence and neuroscience

NarrativeTime: Dense Temporal Annotation on a Timeline


LanideNN: Multilingual Language Identification on Character Window

Exploring Benefits of Transfer Learning in Neural Machine Translation

Short Text Language Identification for Under Resourced Languages

Language Identification on Massive Datasets of Short Messages using an Attention Mechanism CNN

International Conference on Advances in Social Networks Analysis and Mining

Language Identification on Massive Datasets of Short Message using an Attention Mechanism CNN

CoSwID, a Code Switching Identification Method Suitable for Under-Resourced Languages

HAL (Le Centre pour la Communication Scientifique Directe)

Unsupervised Preference-Aware Language Identification

Findings of the Association for Computational Linguistics: ACL 2022


Inference code for PaSST, using the HEAR API.

Efficient Training of Audio Transformers with Patchout

Advancing Natural-Language Based Audio Retrieval with PaSST and Large Audio-Caption Data Sets

Learning General Audio Representations with Large-Scale Training of Patchout Audio Transformers

Noise-Robust Voice Conversion by Conditional Denoising Training Using
  Latent Variables of Recording Quality and Environment


MobileNetV2: Inverted Residuals and Linear Bottlenecks

Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation

Rethinking Atrous Convolution for Semantic Image Segmentation

Image Segmentation of the Ventricular Septum in Fetal Cardiac Ultrasound Videos Based on Deep Learning Using Time-Series Information


Official PyTorch implementation for the paper Minimizing Trajectory Curvature of ODE-based Generative Models, ICML 2023

Diffusion Models Beat GANs on Image Synthesis

Elucidating the Design Space of Diffusion-Based Generative Models

Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow


Fast and Robust Early-Exiting Framework for Autoregressive Language Models with Synchronized Parallel Decoding (EMNLP 2023 Long)

Human-like Summarization Evaluation with ChatGPT

Fast yet Safe: Early-Exiting with Risk Control


Current Antarctic large iceberg positions derived from ASCAT and OSCAT-2


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

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

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


The Lowest-frequency Fast Radio Bursts: Sardinia Radio Telescope Detection of the Periodic FRB 180916 at 328 MHz

Milliarcsecond Localization of the Repeating FRB 20201124A

The Fast Radio Burst FRB 20201124A in a star forming region: constraints to the progenitor and multiwavelength counterparts

Multiband Detection of Repeating FRB 20180916B

The new magnetar SGR J1830–0645 in outburst

The first seven months of the 2020 X-ray outburst of the magnetar SGR J1935+2154

Re-Analysis of Breakthrough Listen Observations of FRB 121102: Polarization Properties of Eight New Spectrally Narrow Bursts

The northern cross fast radio burst project – II. Monitoring of repeating FRB 20180916B, 20181030A, 20200120E, and 20201124A

IKT 16 aka PSR J0058-7218: discovery of a 22 ms energetic rotation-powered pulsar in the Small Magellanic Cloud

Monthly Notices of the Royal Astronomical Society: Letters


Compute the Euler Characteristic Transform

Measuring hidden phenotype: quantifying the shape of barley seeds using the Euler characteristic transform

An Invitation to the Euler Characteristic Transform


CVPR'20: Combating Noisy Labels by Agreement: A Joint Training Method with Co-Regularization

Learning from Noisy Labels with Deep Neural Networks: A Survey

Combating noisy labels by agreement: A joint training method with co-regularization

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

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

Wasserstein Adversarial Regularization (WAR) on label noise

GearNet: Stepwise Dual Learning for Weakly Supervised Domain Adaptation

Label Noise-Robust Learning using a Confidence-Based Sieving Strategy


Graph Neural Networks to predict the cosmological parameters or the galaxy power spectrum from galaxy catalogs.

Learning Cosmology and Clustering with Cosmic Graphs

Robust Field-level Likelihood-free Inference with Galaxies

Robust Field-level Inference of Cosmological Parameters with Dark Matter Halos

Robust field-level inference with dark matter halos

A universal equation to predict Ω_ m from halo and galaxy catalogues

Field-level simulation-based inference with galaxy catalogs: the impact of systematic effects


QTL Discovery using Annotations

Exploiting the GTEx resources to decipher the mechanisms at GWAS loci

Genome-wide association studies of metabolites in Finnish men identify disease-relevant loci

meQTL mapping in the GENOA study reveals genetic determinants of DNA methylation in African Americans

Fine-mapping and QTL tissue-sharing information improve causal gene identification and transcriptome prediction performance

QTL mapping of human retina DNA methylation identifies 87 gene-epigenome interactions in age-related macular degeneration


[Official] A Survey on Asking Clarification Questions Datasets in Conversational Systems - ACL 2023

Asking Clarifying Questions in Open-Domain Information-Seeking Conversations

PROCEEDINGS OF THE 42ND INTERNATIONAL ACM SIGIR CONFERENCE ON RESEARCH AND DEVELOPMENT IN INFORMATION RETRIEVAL (SIGIR '19)

ConvAI3: Generating Clarifying Questions for Open-Domain Dialogue Systems (ClariQ)

Introducing MANtIS: a novel Multi-Domain Information Seeking Dialogues Dataset

ISEEQ: Information Seeking Question Generation using Dynamic Meta-Information Retrieval and Knowledge Graphs

Towards Asking Clarification Questions for Information Seeking on Task-Oriented Dialogues


PyTorch implementation of Federated Learning with Non-IID Data, and federated learning algorithms, including FedAvg, FedProx.

Communication-Efficient Learning of Deep Networks from Decentralized Data

Federated Optimization in Heterogeneous Networks

Federated Learning with Non-IID Data

Fair detection of poisoning attacks in federated learning on non-i.i.d. data


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


Bayesian optimization and active learning with likelihood-weighted acquisition functions

Bayesian optimization with output-weighted optimal sampling

Output-Weighted Optimal Sampling for Bayesian Experimental Design and Uncertainty Quantification

Informative Path Planning for Extreme Anomaly Detection in Environment Exploration and Monitoring


An adversarial example library for constructing attacks, building defenses, and benchmarking both

Explaining and Harnessing Adversarial Examples

The Limitations of Deep Learning in Adversarial Settings

Practical Black-Box Attacks against Machine Learning

Technical Report on the CleverHans v2.1.0 Adversarial Examples Library

Imperceptible, Robust, and Targeted Adversarial Examples for Automatic Speech Recognition

Disappeared Command: Spoofing Attack On Automatic Speech Recognition Systems with Sound Masking


This repo contains code for the paper: "Can Foundation Models Help Us Achieve Perfect Secrecy?"

Ask Me Anything: A simple strategy for prompting language models

Considerations for Differentially Private Learning with Large-Scale Public Pretraining


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

G-Mixup: Graph Data Augmentation for Graph Classification

Structural Entropy Guided Graph Hierarchical Pooling

Edge Representation Learning with Hypergraphs

State of the Art and Potentialities of Graph-level Learning

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


A Python tool to make interactive Corner Plots based on XSPEC MCMC chains saved to FITS files.

vKompth: a variable Comptonization model for low-frequency quasi-periodic oscillations in black hole X-ray binaries

Dual-corona Comptonization model for the type-b quasi-periodic oscillations in GX 339-4

The X-ray corona in the black-hole binary GRO J1655--40 from the properties of non-harmonically related quasi-periodic oscillations

Studies on the soft intermediate state X-ray flare of MAXI J1535-571 during its 2017 outburst


Repository associated with Clus-DoC clustering and degree of colocalization analysis

Atypical sideways recognition of CD1a by autoreactive γδ T cell receptors

Binding partners regulate unfolding of myosin VI to activate the molecular motor

A Targeted and Tuneable DNA Damage Tool Using CRISPR/Cas9

Autophagy receptor NDP52 alters DNA conformation to modulate RNA Polymerase II transcription


Wasserstein GAN

Adversarial Regularizers in Inverse Problems

End-to-end reconstruction meets data-driven regularization for inverse problems

Wasserstein-based Projections with Applications to Inverse Problems

What's in a Prior? Learned Proximal Networks for Inverse Problems


Amun is a framework that achieves privacy-preserving process mining using differential privacy.

Mine Me but Don't Single Me Out: Differentially Private Event Logs for Process Mining

Privacy-Preserving Directly-Follows Graphs: Balancing Risk and Utility in Process Mining

Differentially Private Release of Event Logs for Process Mining


DeepTest: Automated Testing of Deep-Neural-Network-driven Autonomous Cars

DeepRoad: GAN-Based Metamorphic Testing and Input Validation Framework for Autonomous Driving Systems

PROCEEDINGS OF THE 2018 33RD IEEE/ACM INTERNATIONAL CONFERENCE ON AUTOMTED SOFTWARE ENGINEERING (ASE' 18)

Concolic Testing for Deep Neural Networks

Fairness Testing: Testing Software for Discrimination

Predictive Mutation Testing

International Symposium on Software Testing and Analysis

DeepStellar: model-based quantitative analysis of stateful deep learning systems

Is neuron coverage a meaningful measure for testing deep neural networks?

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

Fuzz Testing based Data Augmentation to Improve Robustness of Deep Neural Networks

International Conference on Software Engineering

Model-based exploration of the frontier of behaviours for deep learning system testing

DeepMutation++: A Mutation Testing Framework for Deep Learning Systems

International Conference on Automated Software Engineering


NABERT model for solving the DROP dataset

Neural Module Networks for Reasoning over Text

A Simple and Effective Model for Answering Multi-span Questions

MOCHA: A Dataset for Training and Evaluating Generative Reading Comprehension Metrics

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

Tag-based Multi-Span Extraction in Reading Comprehension.

Benefits of Intermediate Annotations in Reading Comprehension

ORB: An Open Reading Benchmark for Comprehensive Evaluation of Machine Reading Comprehension

Weakly Supervised Neuro-Symbolic Module Networks for Numerical Reasoning

Activity report analysis with automatic single or multispan answer extraction


A curated link list related to the cryosphere and its subspheres

A new model for global glacier change and sea-level rise

The Potsdam Parallel Ice Sheet Model (PISM-PIK) – Part 1: Model description

Modeling channelized and distributed subglacial drainage in two dimensions

Journal of Geophysical Research: Earth Surface

Modelling the future evolution of glaciers in the European Alps under the EURO-CORDEX RCM ensemble

Runoff evolution in the Swiss Alps: projections for selected high-alpine catchments based on ENSEMBLES scenarios

The Open Global Glacier Model (OGGM) v1.1

Modelling distributed and channelized subglacial drainage: the spacing of channels

A numerical study of hydrologically driven glacier dynamics and subglacial flooding

Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences

Mass-conserving subglacial hydrology in the Parallel Ice Sheet Model version 0.6

Feedbacks between coupled subglacial hydrology and glacier dynamics


Remote Sensing Change Detection using Denoising Diffusion Probabilistic Models

DDPM-CD: Denoising Diffusion Probabilistic Models as Feature Extractors for Change Detection

Unsupervised Hyperspectral Pansharpening via Low-rank Diffusion Model

HIR-Diff: Unsupervised Hyperspectral Image Restoration Via Improved
  Diffusion Models


A set of Python scripts for preprocessing the Wikidata JSON dump and running simple queries in an efficient manner.

ODA: Observation-Driven Agent for integrating LLMs and Knowledge Graphs

Large Scale Knowledge Washing


End-to-end learning for semiquantitative rating of COVID-19 severity on Chest X-rays. Additional material and updates.

Chest X-Ray Analysis of Tuberculosis by Deep Learning with Segmentation and Augmentation

IEEE International Conference on Electronics and Nanotechnology

BS-Net: Learning COVID-19 pneumonia severity on a large chest X-ray dataset

On the Composition and Limitations of Publicly Available COVID-19 X-Ray Imaging Datasets

Impartially Validated Multiple Deep-Chain Models to Detect COVID-19 in Chest X-ray Using Latent Space Radiomics


Checking Status of Plant Names based on The Plantlist and More

Spatial phylogenetics of two topographic extremes of the Hengduan Mountains in southwestern China and its implications for biodiversity conservation

Metabolomic Profiles of Essential Oils from Selected Rosa Varieties and Their Antimicrobial Activities

Are dominant plant species more susceptible to leaf‐mining insects? A case study at Saihanwula Nature Reserve, China

Why Are There so Many Plant Species That Transiently Flush Young Leaves Red in the Tropics?

Functional trade‐offs and the phylogenetic dispersion of seed traits in a biodiversity hotspot of the Mountains of Southwest China

Taxonomic, Phylogenetic, and Functional Diversity of Ferns at Three Differently Disturbed Sites in Longnan County, China

Phylogenetic and Functional Traits Verify the Combined Effect of Deterministic and Stochastic Processes in the Community Assembly of Temperate Forests along an Elevational Gradient

Does pollinator dependence decrease along elevational gradients?

Flora diversity survey and establishment of a plant DNA barcode database of Lomas ecosystems in Peru

Phylogenetic Partitioning of Gansu Flora: Unveiling the Core Transitional Zone of Chinese Flora


A Python tool to study the information yield of counting experiments.

Sensitivity of the Cherenkov Telescope Array to a dark matter signal from the Galactic centre

Proceedings of 37th International Cosmic Ray Conference — PoS(ICRC2021)

Digging for dark matter: Spectral analysis and discovery potential of paleo-detectors

Paleodetectors for Galactic supernova neutrinos

Implications of the Gaia sausage for dark matter nuclear interactions

New Projections for Dark Matter Searches with Paleo-Detectors

swordfish: Efficient Forecasting of New Physics Searches without Monte Carlo


ACL2023 - AlignScore, a metric for factual consistency evaluation.

AlignScore: Evaluating Factual Consistency with A Unified Alignment Function

TofuEval: Evaluating Hallucinations of LLMs on Topic-Focused Dialogue Summarization


A set of real-world multi-objective optimization problems

An easy-to-use real-world multi-objective optimization problem suite

Identifying Properties of Real-World Optimisation Problems through a Questionnaire

Dealing with Structure Constraints in Evolutionary Pareto Set Learning


Tool for demultiplexing Nanopore barcode sequence data

Single-cell RNA-seq analysis of mouse preimplantation embryos by third-generation sequencing

De novo assembly of human genome at single-cell levels

Sequence and Structure Characteristics of 22 Deletion Breakpoints in Intron 44 of the DMD Gene Based on Long-Read Sequencing

Long-read-based single sperm genome sequencing for chromosome-wide haplotype phasing of both SNPs and SVs

Zenodo (CERN European Organization for Nuclear Research)

Single-cell analysis of isoform switching and transposable element expression during preimplantation embryonic development

Mapping crossover events of mouse meiotic recombination by restriction fragment ligation-based Refresh-seq


This repo contains some extensions of deepspeed-chat for fine-tuning LLMs (SFT+RLHF).

Direct Preference Optimization: Your Language Model is Secretly a Reward Model

ESRL: Efficient Sampling-based Reinforcement Learning for Sequence Generation


Particle-tracking code that models strong-field QED interactions

Advances in QED with intense background fields

Conceptual design report for the LUXE experiment

The European Physical Journal Special Topics

New physics searches with an optical dump at LUXE

Fully polarized nonlinear Breit-Wheeler pair production in pulsed plane waves

Pulse envelope effects in nonlinear Breit-Wheeler pair creation

Technical Design Report for the LUXE Experiment

Strong-Field QED Experiments using the BELLA PW Laser Dual Beamlines

Studies of high-field QED with the LUXE experiment at the European XFEL

Classical Radiation Reaction in Red-Shifted Harmonics

LUXE: A new experiment to study non-perturbative QED in e^--laser and γ-laser collisions


Accurate prediction of cell type-specific transcription factor binding

PrediTALE: A novel model learned from quantitative data allows for new perspectives on TALE targeting

Widespread effects of DNA methylation and intra-motif dependencies revealed by novel transcription factor binding models

Importance of RpoD- and Non-RpoD-Dependent Expression of Horizontally Acquired Genes in Cupriavidus metallidurans

Epigenetic features improve TALE target prediction


Suite of universal indexes for Highly Repetitive Document Collections

Fully Functional Suffix Trees and Optimal Text Searching in BWT-Runs Bounded Space

Optimal-Time Text Indexing in BWT-runs Bounded Space

Universal indexes for highly repetitive document collections

Grammar-Compressed Indexes with Logarithmic Search Time

A Fast and Small Subsampled R-index

On the reproducibility of experiments of indexing repetitive document collections

Joint Conference of the Information Retrieval Communities in Europe


Python implementation of the GES algorithm for causal discovery, from the 2002 paper "Optimal Structure Identification With Greedy Search" by David Maxwell Chickering.

Causal Discovery for Fairness

Characterization and Greedy Learning of Gaussian Structural Causal Models under Unknown Interventions

Gene Regulatory Network Inference in the Presence of Dropouts: a Causal
  View

Metrics on Markov Equivalence Classes for Evaluating Causal Discovery
  Algorithms

From Causal Pairs to Causal Graphs


A collection of tools to process single-cell omics datasets.

Single-cell spatial transcriptome reveals cell-type organization in the macaque cortex

Single-cell multiomics reveals heterogeneous cell states linked to metastatic potential in liver cancer cell lines

Cancer-associated fibroblasts undergoing neoadjuvant chemotherapy suppress rectal cancer revealed by single-cell and spatial transcriptomics

Single-Cell Atlas of the Chinese Tongue Sole (Cynoglossus semilaevis) Ovary Reveals Transcriptional Programs of Oogenesis in Fish

Frontiers in cell and developmental biology

Single-Nucleus Chromatin Accessibility Landscape Reveals Diversity in Regulatory Regions Across Distinct Adult Rat Cortex

The FASTQ+ format and PISA

Integrative Single-Cell RNA-Seq and ATAC-Seq Analysis of Mesenchymal Stem/Stromal Cells Derived from Human Placenta

Transcriptomic Profile of the Mouse Postnatal Liver Development by Single-Nucleus RNA Sequencing

Single-Cell Transcriptome Analysis of H5N1-HA-Stimulated Alpaca PBMCs

Single-cell and spatiotemporal transcriptomic analyses reveal the effects of microorganisms on immunity and metabolism in the mouse liver

Computational and structural biotechnology journal


BAIL: Best-Action Imitation Learning for Batch Deep Reinforcement Learning

Offline Reinforcement Learning via High-Fidelity Generative Behavior Modeling

Offline Reinforcement Learning with Value-based Episodic Memory

Curriculum Offline Imitation Learning


Differentiable short-time Fourier transform (DSTFT): Gradient-based parameters tuning for adaptive time-frequency representation. DSTFT is a neural network layer whose weights are its parameters (e.g. window and hop lengths).

Differentiable Adaptive Short-Time Fourier Transform with Respect to the Window Length

IEEE International Conference on Acoustics, Speech, and Signal Processing

A differentiable short-time Fourier transform with respect to the window length

Differentiable short-time Fourier transform with respect to the hop length


Benchmark for Natural Temporal Distribution Shift (NeurIPS 2022)

Wild-Time: A Benchmark of in-the-Wild Distribution Shift over Time

RLSbench: Domain Adaptation Under Relaxed Label Shift

HyperTime: Hyperparameter Optimization for Combating Temporal Distribution Shifts

Continuous Invariance Learning


Khmer  language processing toolkit

Khmer Word Segmentation Using Conditional Random Fields

Multilingual Open Text Release 1: Public Domain News in 44 Languages

ZusammenQA: Data Augmentation with Specialized Models for Cross-lingual Open-retrieval Question Answering System


Research on Video Compression

End-to-End Rate-Distortion Optimized Learned Hierarchical Bi-Directional Video Compression

Flexible-Rate Learned Hierarchical Bi-Directional Video Compression with Motion Refinement and Frame-Level Bit Allocation

Multi-Scale Deformable Alignment and Content-Adaptive Inference for Flexible-Rate Bi-Directional Video Compression


Inference of Minimal Event Distance Aneuploidy Lineage Tree based on single cell copy number profile

MEDALT: single-cell copy number lineage tracing enabling gene discovery

Single-cell copy number lineage tracing enabling gene discovery


A package for tree-based statistical estimation and inference using optimal decision trees.

Strong Optimal Classification Trees

Learning Optimal Prescriptive Trees from Observational Data

Learning Optimal Fair Decision Trees: Trade-offs Between Interpretability, Fairness, and Accuracy

ODTlearn: A Package for Learning Optimal Decision Trees for Prediction and Prescription


A fast and certifying solver for quantified Boolean formulas.

Learning Heuristics for Quantified Boolean Formulas through Deep Reinforcement Learning

Partial Quantifier Elimination By Certificate Clauses

Partial Quantifier Elimination And Property Generation


DeepErwin is a python 3.8+ package that implements and optimizes JAX 2.x wave function models for numerical solutions to the multi-electron Schrödinger equation. DeepErwin supports weight-sharing when optimizing  wave functions for multiple nuclear geometries and the usage of pre-trained neural network weights to accelerate optimization.

Solving the electronic Schrödinger equation for multiple nuclear geometries with weight-sharing deep neural networks

Gold-standard solutions to the Schrödinger equation using deep learning: How much physics do we need?

Towards a Foundation Model for Neural Network Wavefunctions

Variational Monte Carlo on a Budget -- Fine-tuning pre-trained Neural Wavefunctions

Transferable Neural Wavefunctions for Solids


A lightweight library for Frechet Audio Distance calculation.

High Fidelity Neural Audio Compression

InstructME: An Instruction Guided Music Edit And Remix Framework with Latent Diffusion Models

CLIPSonic: Text-to-Audio Synthesis with Unlabeled Videos and Pretrained Language-Vision Models

NoiseBandNet: Controllable Time-Varying Neural Synthesis of Sound Effects Using Filterbanks

Instruct-MusicGen: Unlocking Text-to-Music Editing for Music Language Models via Instruction Tuning

Improving Unsupervised Clean-to-Rendered Guitar Tone Transformation
  Using GANs and Integrated Unaligned Clean Data

Voice Conversion for Stuttered Speech, Instruments, Unseen Languages and Textually Described Voices


Algorithms for regularized optimization

A Proximal Quasi-Newton Trust-Region Method for Nonsmooth Regularized Optimization

A Levenberg-Marquardt Method for Nonsmooth Regularized Least Squares

An interior-point trust-region method for nonsmooth regularized
  bound-constrained optimization


Parse soil measurement data.


official code of CVPR'18 paper "learning to generate time-lapse videos using multi-stage dynamic generative adversarial networks"

Learning to Generate Time-Lapse Videos Using Multi-Stage Dynamic Generative Adversarial Networks

Generating Videos with Dynamics-aware Implicit Generative Adversarial Networks

Long Video Generation with Time-Agnostic VQGAN and Time-Sensitive Transformer

Video Probabilistic Diffusion Models in Projected Latent Space

Stochastic Image-to-Video Synthesis using cINNs

MoStGAN-V: Video Generation with Temporal Motion Styles


Map-Elites based on Evolution Strategies

Robots that can adapt like animals

Scaling MAP-Elites to Deep Neuroevolution

Genetic and Evolutionary Computation Conference

Empirical analysis of PGA-MAP-Elites for Neuroevolution in Uncertain Domains

QDax: A Library for Quality-Diversity and Population-based Algorithms with Hardware Acceleration


Capabilities of GPT-4 on Medical Challenge Problems

Towards Expert-Level Medical Question Answering with Large Language Models

Clinical Camel: An Open Expert-Level Medical Language Model with Dialogue-Based Knowledge Encoding


A presentation on Augmented CycleGAN and the papers that lead up to it

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

Conditional Generative Adversarial Nets

Augmented CycleGAN: Learning Many-to-Many Mappings from Unpaired Data

Entropic Neural Optimal Transport via Diffusion Processes


A Survey on Multi-Task Learning

Self-Paced Multi-Task Clustering

Model-Protected Multi-Task Learning


Graph revised convolutional network (ECML-PKDD 2020)

Revisiting Semi-Supervised Learning with Graph Embeddings

Graph-Revised Convolutional Network

A Comparative Study on Robust Graph Neural Networks to Structural Noises

Latent Graph Inference with Limited Supervision


Codebase for plCoP, a Prolog Technology Reinforcement Learning Prover

A Deep Reinforcement Learning Approach to First-Order Logic Theorem Proving

The Role of Entropy in Guiding a Connection Prover

Beyond Games: A Systematic Review of Neural Monte Carlo Tree Search Applications


A PyTorch implementation of "Say No to the Discrimination: Learning Fair Graph Neural Networks with Limited Sensitive Attribute Information" (WSDM 2021)

Improving Fairness in Graph Neural Networks via Mitigating Sensitive Attribute Leakage

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

FairSample: Training Fair and Accurate Graph Convolutional Neural Networks Efficiently

IEEE Transactions on Knowledge and Data Engineering


Congrads is a data-driven method for mapping the spatial organisation of connectivity within a pre-defined region-of-interest (i.e. connectopic mapping) and fitting the results with a spatial statisical model that summarises the map in terms of a limited number of trend surface model coefficients.

Gradients of Connectivity as Graph Fourier Bases of Brain Activity

Age-related differences in the functional topography of the locus coeruleus: implications for cognitive and affective functions

medRxiv : the preprint server for health sciences

Gradients of striatal function in antipsychotic-free first-episode psychosis and schizotypy

Gradients of brain organization: Smooth sailing from methods development
  to user community

Multimodal gradient mapping of rodent hippocampus


Source code for training Gated Multimodal Units on MM-IMDb dataset

Gated Multimodal Units for Information Fusion

MultiBench: Multiscale Benchmarks for Multimodal Representation Learning

MultiViz: Towards Visualizing and Understanding Multimodal Models

Learnable Irrelevant Modality Dropout for Multimodal Action Recognition on Modality-Specific Annotated Videos


Where Would I Go Next? Large Language Models as Human Mobility Predictors

Empowering Time Series Analysis with Large Language Models: A Survey

Large Language Models for Mobility in Transportation Systems: A Survey
  on Forecasting Tasks

Context-aware multi-head self-attentional neural network model for next location prediction


My research paper notes, focusing on data mining/recommender/reinforcement learning. 我的论文笔记，主要聚焦于数据挖掘、推荐系统、强化学习

metapath2vec: Scalable Representation Learning for Heterogeneous Networks

AutoRec: Autoencoders Meet Collaborative Filtering

WWW'15 COMPANION: PROCEEDINGS OF THE 24TH INTERNATIONAL CONFERENCE ON WORLD WIDE WEB

Collaborative Denoising Auto-Encoders for Top-N Recommender Systems

Deep Collaborative Filtering via Marginalized Denoising Auto-encoder

International Conference on Information and Knowledge Management

Deep Crossing: Web-Scale Modeling without Manually Crafted Combinatorial Features

A Neural Click Model for Web Search

Contextual and Sequential User Embeddings for Large-Scale Music Recommendation

RECSYS 2020: 14TH ACM CONFERENCE ON RECOMMENDER SYSTEMS

Sequence-based context-aware music recommendation

Feature-combination hybrid recommender systems for automated music playlist continuation

User modeling and user-adapted interaction

Carousel Personalization in Music Streaming Apps with Contextual Bandits


Creative Commons Attribution 4.0 International

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

Unequal Representation and Gender Stereotypes in Image Search Results for Occupations

International Conference on Human Factors in Computing Systems

Implicit Diversity in Image Summarization

Mitigating Test-Time Bias for Fair Image Retrieval


Offline Dictionary-based Compression (Re-Pair, Recursive Pairing)

MR-RePair: Grammar Compression based on Maximal Repeats

A Grammar Compression Algorithm based on Induced Suffix Sorting

Grammar Compression by Induced Suffix Sorting

Practical Grammar Compression Based on Maximal Repeats


A tool for drawing ANI clustermap between all-vs-all microbial genomes

Genome Analysis of Two Pseudomonas syringae pv. aptata Strains with Different Virulence Capacity Isolated from Sugar Beet: Features of Successful Pathogenicity in the Phyllosphere Microbiome

Ecogenomics and cultivation reveal distinctive viral-bacterial communities in the surface microlayer of a Baltic Sea slick

Genome mining of Lactiplantibacillus plantarum PA21: insights into its antimicrobial potential


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


Official code for paper "Non-Adversarial Image Synthesis with Generative Latent Nearest Neighbors"

Optimizing the Latent Space of Generative Networks

Implicit Maximum Likelihood Estimation

Data InStance Prior (DISP) in Generative Adversarial Networks


FBNet: Feedback Network for Point Cloud Completion

Rethinking the Approximation Error in 3D Surface Fitting for Point Cloud Normal Estimation

Point Cloud Upsampling via Cascaded Refinement Network

MDR-MFI:Multi-Branch Decoupled Regression and Multi-Scale Feature Interaction for Partial-to-Partial Cloud Registration


Reinforcement learning for unit commitment

Applying reinforcement learning and tree search to the unit commitment problem

Reinforcement Learning and Mixed-Integer Programming for Power Plant Scheduling in Low Carbon Systems: Comparison and Hybridisation


Code for the paper "Open Domain Question Answering with A Unified Knowledge Interface" (ACL 2022)

Open-domain Question Answering via Chain of Reasoning over Heterogeneous Knowledge

Chain-of-Skills: A Configurable Model for Open-domain Question Answering


spectrai: a deep learning framework for spectral data

In-Vivo Hyperspectral Human Brain Image Database for Brain Cancer Detection

High-Throughput Molecular Imaging via Deep-Learning-Enabled Raman Spectroscopy

AeroRIT: A New Scene for Hyperspectral Image Analysis

IEEE Transactions on Geoscience and Remote Sensing

spectrai: A deep learning framework for spectral data


[CVPR'21] [Jittor & Pytorch] DI-Fusion: Online Implicit 3D Reconstruction with Deep Priors

NICE-SLAM: Neural Implicit Scalable Encoding for SLAM

Neural Kernel Surface Reconstruction


The Planheat tool is the heart of the Planheat project (http://planheat.eu/). Composed of several modules, it will help your city to simulate its way to decarbonising its heating and cooling system by showing you economically feasible scenarios.


Deep domain adaptation networks (DDAN) library for Python with TensorFlow.

Domain-Adversarial Training of Neural Networks

Unsupervised Domain Adaptation by Backpropagation

Deep Domain Confusion: Maximizing for Domain Invariance

Revisiting Batch Normalization For Practical Domain Adaptation


autotuning C++, just-in-time!

ClangJIT: Enhancing C++ with Just-in-Time Compilation

User-Directed Loop-Transformations in Clang

Autotuning Search Space for Loop Transformations


An energy landscape-based approach for measuring developmental states and inferring cellular trajectories from single cell RNA-seq data

Single-cell analysis reveals fibroblast heterogeneity and myeloid-derived adipocyte progenitors in murine skin wounds

A review of dynamical systems approaches for the detection of chaotic attractors in cancer networks

Single-Cell RNA-Seq Analysis Reveals the Acquisition of Cancer Stem Cell Traits and Increase of Cell–Cell Signaling during EMT Progression

Pattern Detection on Glioblastoma’s Waddington Landscape via Generative Adversarial Networks


PyTorch implementation of "Contrast to Divide: self-supervised pre-training for learning with noisy labels"

Selective-Supervised Contrastive Learning with Noisy Labels

Contrast to Divide: Self-Supervised Pre-Training for Learning with Noisy Labels

CMW-Net: Learning a Class-Aware Sample Weighting Mapping for Robust Deep Learning


Graph Representation Learning via Graphical Mutual Information Maximization

Deep Graph Infomax

Graph Self-Supervised Learning: A Survey

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

Geometric Graph Representation Learning via Maximizing Rate Reduction

Unsupervised Network Embedding Beyond Homophily

ASWT-SGNN: Adaptive Spectral Wavelet Transform-based Self-Supervised Graph Neural Network


Repo for ICCV 2021 paper: Beyond Question-Based Biases: Assessing Multimodal Shortcut Learning in Visual Question Answering

Robust Visual Question Answering: Datasets, Methods, and Future Challenges


StarCoder 2 and The Stack v2: The Next Generation

Natural Language Generation and Understanding of Big Code for AI-Assisted Programming: A Review

A Comprehensive Review of State-of-The-Art Methods for Java Code Generation from Natural Language Text


DRAEM -- A discriminatively trained reconstruction embedding for surface anomaly detection

Exploring Plain ViT Reconstruction for Multi-class Unsupervised Anomaly Detection

MIAD: A Maintenance Inspection Dataset for Unsupervised Anomaly Detection

Component-aware anomaly detection framework for adjustable and logical industrial visual inspection

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


Data science in R notes

mice: Multivariate Imputation by Chained Equations in R

MissForest—non-parametric missing value imputation for mixed-type data

UpSetR: an R package for the visualization of intersecting sets and their properties

missMDA: A Package for Handling Missing Values in Multivariate Data Analysis

Feature selection and dimension reduction for single-cell RNA-Seq based on a multinomial model

ClusterEnG: an interactive educational web resource for clustering and visualizing high-dimensional data

containerit: Generating Dockerfiles for reproducible research with R


Official PyTorch Implementation for Conflict-Averse Gradient Descent (CAGrad)

Conflict-Averse Gradient Descent for Multi-task Learning

Value Function Decomposition for Iterative Design of Reinforcement Learning Agents

Examining Common Paradigms in Multi-Task Learning

Analytical Uncertainty-Based Loss Weighting in Multi-Task Learning


Library for the training and evaluation of object-centric models (ICML 2022)

Generalization and Robustness Implications in Object-Centric Learning

Robust and Controllable Object-Centric Learning through Energy-based Models

Spotlight Attention: Robust Object-Centric Learning With a Spatial Locality Prior


MATLAB and R functions to perform nestedness analysis in bipartite networks

The ghost of nestedness in ecological networks

Nestedness in complex networks: Observation, emergence, and implications

Factors Determining Nestedness in Complex Networks

FALCON: a software package for analysis of nestedness in bipartite networks

Nestedness and τ-temperature in ecological networks


Smart RFI removal algorithms to be used on folded pulsar search and timing data

Discovery of a radio-emitting neutron star with an ultra-long spin period of 76 s

Five new real-time detections of fast radio bursts with UTMOST

Monthly Notices of the Royal Astronomical Society

The UTMOST pulsar timing programme – II. Timing noise across the pulsar population

The High Time Resolution Universe survey - XIV. Discovery of 23 pulsars through GPU-accelerated reprocessing

MKT J170456.2-482100: the first transient discovered by MeerKAT

Zenodo (CERN European Organization for Nuclear Research)

Radio and X-ray observations of giant pulses from XTE J1810-197

The High Time Resolution Universe Pulsar Survey – XVII. PSR J1325−6253, a low eccentricity double neutron star system from an ultra-stripped supernova

The GMRT High Resolution Southern Sky Survey for Pulsars and Transients. III. Searching for Long-period Pulsars

MeerTRAP: 12 Galactic fast transients detected in a real-time, commensal MeerKAT survey

CHIME Discovery of a Binary Pulsar with a Massive Nondegenerate Companion


Code for ECCV 2022 paper "DICE: Leveraging Sparsification for Out-of-Distribution Detection"

Describing Textures in the Wild

The iNaturalist Species Classification and Detection Dataset

Extremely Simple Activation Shaping for Out-of-Distribution Detection

Gradient-Regularized Out-of-Distribution Detection


dmps code

Diffusion Model Based Posterior Sampling for Noisy Linear Inverse Problems

Quantized Compressed Sensing with Score-based Generative Models

DMPlug: A Plug-in Method for Solving Inverse Problems with Diffusion
  Models


Official repository for VIGOR : Cross-View Image Geo-localization beyond One-to-one Retrieval

VIGOR: Cross-View Image Geo-localization beyond One-to-one Retrieval

Cross-View Image Sequence Geo-localization

Visual and Object Geo-localization: A Comprehensive Survey


BOLT: Fast Energy-based Controlled Text Generation with Tunable Biases

LitCab: Lightweight Calibration of Language Models on Outputs of Varied Lengths


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

Biomedical Question Answering: A Survey of Approaches and Challenges

Meeting of the Association for Computational Linguistics

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

Medical Question Summarization with Entity-driven Contrastive Learning

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


A modular framework for vision & language multimodal research from Facebook AI Research (FAIR)

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

Bilinear Attention Networks

Towards VQA Models That Can Read

Pythia v0.1: the Winning Entry to the VQA Challenge 2018

What's Different between Visual Question Answering for Machine "Understanding" Versus for Accessibility?


This repository contains the TensorFlow implemtation of subgraph2vec (KDD MLG 2016) paper

subgraph2vec: Learning Distributed Representations of Rooted Sub-graphs from Large Graphs

Learning Hierarchical Representations of Stories by Using Multi-Layered Structures in Narrative Multimedia

State of the Art and Potentialities of Graph-level Learning


Modelling the Language of Life - Deep Learning Protein Sequences

Modeling aspects of the language of life through transfer-learning protein sequences

Modeling the language of life – Deep Learning Protein Sequences

In-Pero: Exploiting Deep Learning Embeddings of Protein Sequences to Predict the Localisation of Peroxisomal Proteins

PortPred: exploiting deep learning embeddings of amino acid sequences for the identification of transporter proteins and their substrates


Deep Learning the T Cell Receptor Binding Specificity of Neoantigen

Can we predict T cell specificity with digital biology and machine learning?

epiTCR: a highly sensitive predictor for TCR–peptide binding

TCR-ESM: Employing protein language embeddings to predict TCR-peptide-MHC binding

Global analysis of HLA-A2 restricted MAGE-A3 tumor antigen epitopes and corresponding TCRs in non-small cell lung cancer

BATMAN: Improved T cell receptor cross-reactivity prediction benchmarked on a comprehensive mutational scan database

bioRxiv : the preprint server for biology


A pyTorch implementation of models used for Recognizing Textual Entailment using the SNLI corpus

Reasoning about Entailment with Neural Attention

Recurrent Batch Normalization

Contradiction Detection in Persian Text


LUTNet: Rethinking Inference in FPGA Soft Logic

LUTNet: Learning FPGA Configurations for Highly Efficient Neural Network Inference

Logic Shrinkage

Symposium on Field Programmable Gate Arrays


Code for the paper "Autoregressive Perturbations for Data Poisoning" (NeurIPS 2022)

Image Shortcut Squeezing: Countering Perturbative Availability Poisons with Compression

Learning the Unlearnable: Adversarial Augmentations Suppress Unlearnable Example Attacks

The Devil's Advocate: Shattering the Illusion of Unexploitable Data using Diffusion Models


Approximating neural network loss landscapes in low-dimensional parameter subspaces for PyTorch

Visualizing the Loss Landscape of Neural Nets

CoPhy-PGNN: Learning Physics-guided Neural Networks with Competing Loss Functions for Solving Eigenvalue Problems

ReContrast: Domain-Specific Anomaly Detection via Contrastive Reconstruction


Pytorch implementation of VQGAN (Taming Transformers for High-Resolution Image Synthesis) (https://arxiv.org/pdf/2012.09841.pdf)

Ten Years of Generative Adversarial Nets (GANs): A survey of the state-of-the-art

Diffusion Reward: Learning Rewards via Conditional Video Diffusion


Graph Neural Networks with Heterophily

Is Homophily a Necessity for Graph Neural Networks?

How does Heterophily Impact the Robustness of Graph Neural Networks? Theoretical Connections and Practical Implications

Simplifying Node Classification on Heterophilous Graphs with Compatible Label Propagation


Creative Commons Attribution Share Alike 4.0 International

Structured argument extraction for Korean

Open Korean Corpora: A Practical Report

Proceedings of Second Workshop for NLP Open Source Software (NLP-OSS)

Machines Getting with the Program: Understanding Intent Arguments of Non-Canonical Directives

A Survey on Awesome Korean NLP Datasets

Extracting Arguments from Korean Question and Command: An Annotated Corpus for Structured Paraphrasing

Structured Argument Extraction of Korean Question and Command.


Efficient MATLAB routines for quantum tomography

Superfast maximum likelihood reconstruction for quantum tomography

Objective compressive quantum process tomography

Universal compressive tomography in the time-frequency domain

Efficient Bayesian credible-region certification for quantum-state tomography

Modern compressive tomography for quantum information science

Quantum tomography benchmarking


Pytorch implementation of "Joint Acne Image Grading and Counting via Label Distribution Learning"

International Conference on Computer Vision

Skin Lesion Classification and Detection Using Machine Learning Techniques: A Systematic Review

AcneGrader: An ensemble pruning of the deep learning base models to grade acne

Skin research and technology : official journal of International Society for Bioengineering and the Skin (ISBS) [and] International Society for Digital Imaging of Skin (ISDIS) [and] International Society for Skin Imaging (ISSI)

Attention Mechanism Guided Deep Regression Model for Acne Severity Grading

Acne detection and severity evaluation with interpretable convolutional neural network models

Technology and health care : official journal of the European Society for Engineering and Medicine

A Transfer Learning and Explainable Solution to Detect mpox from Smartphones images


Simultaneous NMT/MMT framework in PyTorch

Simultaneous Machine Translation with Visual Context

Exploiting Multimodal Reinforcement Learning for Simultaneous Machine Translation

Visual Cues and Error Correction for Translation Robustness

Exploring Supervised and Unsupervised Rewards in Machine Translation


Sentires: A Toolkit for Phrase-level Sentiment Analysis

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

Counterfactual Explainable Recommendation

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

Generate Natural Language Explanations for Recommendation

Explainable Fairness in Recommendation

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

Soliciting User Preferences in Conversational Recommender Systems via Usage-related Questions

LLMRec: Benchmarking Large Language Models on Recommendation Task

Multi-task Item-attribute Graph Pre-training for Strict Cold-start Item Recommendation

Understanding the Effectiveness of Reviews in E-commerce Top-N Recommendation

International Conference on the Theory of Information Retrieval

Counterfactual Explanation for Fairness in Recommendation


The author's officially unofficial Pytorch EvolutionaryGAN implementation.

CDE-GAN: Cooperative Dual Evolution-Based Generative Adversarial Network

Evolutionary Generative Adversarial Networks with Crossover Based Knowledge Distillation

IE-GAN: An Improved Evolutionary Generative Adversarial Network Using a New Fitness Function and a Generic Crossover Operator


Collaborative genetic studies of idiopathic pulmonary fibrosis

Genome-Wide Association Study of Susceptibility to Idiopathic Pulmonary Fibrosis

Genome-wide association study across five cohorts identifies five novel loci associated with idiopathic pulmonary fibrosis

An atlas connecting shared genetic architecture of human diseases and molecular phenotypes provides insight into COVID-19 susceptibility

medRxiv : the preprint server for health sciences

Leveraging global multi-ancestry meta-analysis in the study of idiopathic pulmonary fibrosis genetics

Longitudinal lung function and gas transfer in individuals with idiopathic pulmonary fibrosis: a genome-wide association study

Cell type-specific and disease-associated eQTL in the human lung

Reassessing the association of MUC5B with survival in idiopathic pulmonary fibrosis

Genetic liability of gut microbiota for idiopathic pulmonary fibrosis and lung function: a two-sample Mendelian randomization study

Frontiers in Cellular and Infection Microbiology

A Statistical Framework to Identify Cell Types Whose Genetically Regulated Proportions are Associated with Complex Diseases


McOpt is an algorithm that can efficiently solve multicommodity routing problems on networks

Multicommodity routing optimization for engineering networks

Designing optimal networks for multicommodity transport problem

Optimal transport with constraints: from mirror descent to classical mechanics


Panoramic localization library containing PyTorch implementations of various panoramic localization algorithms including PICCOLO (ICCV 2021), CPO (ECCV 2022), LDL (ICCV 2023) and FGPL (CVPR 2024).

PICCOLO: Point Cloud-Centric Omnidirectional Localization

CPO: Change Robust Panorama to Point Cloud Localization

Fully Geometric Panoramic Localization

LDL: Line Distance Functions for Panoramic Localization


FilterAugment: An Acoustic Environmental Data Augmentation Method

Heavily Augmented Sound Event Detection utilizing Weak Predictions

Frequency Dependent Sound Event Detection for DCASE 2022 Challenge Task 4


Code for the paper "Rotom: A Meta-Learned Data Augmentation Framework for Entity Matching, Data Cleaning, Text Classification, and Beyond"

Data Augmentation using Pre-trained Transformer Models

Learning Data Manipulation for Augmentation and Weighting

SIGMOD '21: PROCEEDINGS OF THE 2021 INTERNATIONAL CONFERENCE ON MANAGEMENT OF DATA

PromptEM: Prompt-tuning for Low-resource Generalized Entity Matching


Code for the paper "Stack Attention: Improving the Ability of Transformers to Model Hierarchical Patterns"

Attention Is All You Need

Inferring Algorithmic Patterns with Stack-Augmented Recurrent Nets

The Surprising Computational Power of Nondeterministic Stack RNNs


Implementations in both Matlab and R of the CIMLR method. The manuscript of the method is available at: https://www.nature.com/articles/s41467-018-06921-8

Multi-omic tumor data reveal diversity of molecular mechanisms that correlate with survival

Evaluation and comparison of multi-omics data integration methods for cancer subtyping

SMRT: Randomized Data Transformation for Cancer Subtyping and Big Data Analysis


Unsupervised hyperspectral image super-resolution

Deep Learning in Multimodal Remote Sensing Data Fusion: A Comprehensive Review

Cross-Attention in Coupled Unmixing Nets for Unsupervised Hyperspectral Super-Resolution

Hyperspectral Super-Resolution via Coupled Tensor Ring Factorization

Decoupled-and-Coupled Networks: Self-Supervised Hyperspectral Image Super-Resolution With Subpixel Fusion

Hyperspectral Image Super-Resolution with Self-Supervised Spectral-Spatial Residual Network

BUSIFusion: Blind Unsupervised Single Image Fusion of Hyperspectral and RGB Images

IEEE Transactions on Computational Imaging


TensorFlow Implementation of FOTS, Fast Oriented Text Spotting with a Unified Network.

Deep Residual Learning for Image Recognition

Feature Pyramid Networks for Object Detection

FOTS: Fast Oriented Text Spotting with a Unified Network


Exo-Transmit radiative transfer code for calculating exoplanet transmission spectra

Exo-Transmit: An Open-Source Code for Calculating Transmission Spectra for Exoplanet Atmospheres of Varied Composition

Publications of the Astronomical Society of the Pacific

Zodiacal Exoplanets in Time (ZEIT). IX. A Flat Transmission Spectrum and a Highly Eccentric Orbit for the Young Neptune K2-25b as Revealed by Spitzer

Stellar Activity Effects on Moist Habitable Terrestrial Atmospheres around M Dwarfs

Helium-enhanced planets along the upper edge of the radius valley


pytorch implementation of manifold-mixup

Densely Connected Convolutional Networks

Manifold Mixup: Better Representations by Interpolating Hidden States

Dual Path Networks


A Simulated Optimal Intrusion Response Game

Learning Intrusion Prevention Policies through Optimal Stopping

Intrusion Prevention Through Optimal Stopping

Learning Near-Optimal Intrusion Responses Against Dynamic Attackers

Learning Security Strategies through Game Play and Optimal Stopping


This repository contains code used in the EMNLP 2019 paper "Learning Dynamic Context Augmentation for Global Entity Linking".

Neural Entity Linking: A Survey of Models Based on Deep Learning

Neural Fine-Grained Entity Type Classification with Hierarchy-Aware Loss

Improving Entity Linking by Modeling Latent Entity Type Information

How can voting mechanisms improve the robustness and generalizability of toponym disambiguation?

Improving Few-Shot Domain Transfer for Named Entity Disambiguation with Pattern Exploitation

Findings of the Association for Computational Linguistics: EMNLP 2022


A logistical pulsar search pipeline using Scott Ransom's PRESTO.

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

EINSTEIN@HOME DISCOVERY OF A DOUBLE NEUTRON STAR BINARY IN THE PALFA SURVEY

SPAN512: A new mid-latitude pulsar survey with the Nançay Radio Telescope

Proceedings of the International Astronomical Union


Official repository for Self-Attention Message Passing for Contrastive Few-Shot Learning

Rethinking Class Relations: Absolute-relative Supervised and Unsupervised Few-shot Learning

Self-Supervised Prototypical Transfer Learning for Few-Shot Classification


A Survey on Text Classification: From Shallow to Deep Learning

Tensor Graph Convolutional Networks for Text Classification

Hierarchical Heterogeneous Graph Representation Learning for Short Text Classification


Do We Really Need Complicated Model Architectures For Temporal Networks?

Towards Better Dynamic Graph Learning: New Architecture and Unified Library

Recurrent Temporal Revision Graph Networks

On the Generalization Capability of Temporal Graph Learning Algorithms:
  Theoretical Insights and a Simpler Method


Temporal IMLinUCB - a solution for Online Influence Maximization problem in Temporal Networks (based on IMLinUCB)

node2vec: Scalable Feature Learning for Networks

Online Influence Maximization under Independent Cascade Model with Semi-Bandit Feedback

Online Influence Maximization in Non-Stationary Social Networks

International Workshop on Quality of Service


Code for paper: AdvKnn: Adversarial Attacks On K-Nearest Neighbor Classifiers With Approximate Gradients

Deep k-Nearest Neighbors: Towards Confident, Interpretable and Robust Deep Learning

On the Robustness of Deep K-Nearest Neighbors


The integration of single cell rank-based gene set enrichment analysis

Microglia-specific transcriptional repression of interferon-regulated genes after prolonged stress in mice

Identification of peripheral blood immune infiltration signatures and construction of monocyte-associated signatures in ovarian cancer and Alzheimer's disease using single-cell sequencing

Single-cell RNA sequencing reveals TCR+ macrophages in HPV-related head and neck squamous cell carcinoma

IL18R1-Related Molecules as Biomarkers for Asthma Severity and Prognostic Markers for Idiopathic Pulmonary Fibrosis

Single-cell transcriptome analysis reveals the metabolic changes and the prognostic value of malignant hepatocyte subpopulations and predict new therapeutic agents for hepatocellular carcinoma

Reciprocal regulation between the molecular clock and kidney injury

Clustering and machine learning-based integration identify cancer associated fibroblasts genes’ signature in head and neck squamous cell carcinoma

irGSEA: the integration of single-cell rank-based gene set enrichment analysis

Bioinformatics Prediction and Experimental Validation of the Role of Macrophage Polarization and Ferroptosis in Gestational Diabetes Mellitus

Comprehensive molecular and cellular characterization of endoplasmic reticulum stress-related key genes in renal ischemia/reperfusion injury


SCDC

Besca, a single-cell transcriptomics analysis toolkit to accelerate translational research

Deconvolution of a Large Cohort of Placental Microarray Data Reveals Clinically Distinct Subtypes of Preeclampsia

Frontiers in bioengineering and biotechnology


Adaptive Denoising Training (ADT) for Recommendation.

Denoising Implicit Feedback for Recommendation

Learning Robust Recommenders through Cross-Model Agreement

Double Correction Framework for Denoising Recommendation

Learning Robust Recommender from Noisy Implicit Feedback

Partial Relaxed Optimal Transport for Denoised Recommendation

Denoising Diffusion Recommender Model

Label Denoising through Cross-Model Agreement


An efficient solver for lifelong Multi-Agent Path Finding

Lifelong Multi-Agent Path Finding in Large-Scale Warehouses

Learn to Follow: Decentralized Lifelong Multi-agent Pathfinding via Planning and Learning

Traffic Flow Optimisation for Lifelong Multi-Agent Path Finding


[TGRS 2019] Unsupervised Deep Slow Feature Analysis for Change Detection in Multi-Temporal Remote Sensing Images

GETNET: A General End-to-End 2-D CNN Framework for Hyperspectral Image Change Detection

IEEE Transactions on Geoscience and Remote Sensing

Exchange means change: an unsupervised single-temporal change detection framework based on intra- and inter-image patch exchange


Topology weighting by iterative sampling of sub-trees

Recombination rate variation shapes barriers to introgression across butterfly genomes

Exploring Evolutionary Relationships Across the Genome Using Topology Weighting

Cortex cis-regulatory switches establish scale colour identity and pattern diversity in Heliconius

Introgression among North American wild grapes (Vitis) fuels biotic and abiotic adaptation

Hybrid speciation driven by multilocus introgression of ecological traits

Genomic conservation of crop wild relatives: A case study of citrus

Ecological Diversification in an Adaptive Radiation of Plants: The Role of De Novo Mutation and Introgression

bioRxiv : the preprint server for biology


Code for the paper "Disentanglement by Nonlinear ICA with General Incompressible-flow Networks (GIN)" (2020)

On the Identifiability of Nonlinear ICA: Sparsity and Beyond

Generalizing Nonlinear ICA Beyond Structural Sparsity


Code for Short Text Topic Modeling with Topic Distribution Quantization and Negative Sampling Decoder (EMNLP2020).

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

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

Extracting Topics with Simultaneous Word Co-occurrence and Semantic Correlation Graphs: Neural Topic Modeling for Short Texts

Findings of the Association for Computational Linguistics: EMNLP 2021


Burgess et al. "MONet: Unsupervised Scene Decomposition and Representation"

On the Relationship Between Variational Inference and Auto-Associative Memory


The code of the AAAI-20 paper "Attractive or Faithful? Popularity-Reinforced Learning for Inspired Headline Generation".

Abstractive Text Summarization Using Sequence-to-Sequence RNNs and Beyond

Fast Abstractive Summarization with Reinforce-Selected Sentence Rewriting


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.


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


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

Variational image compression with a scale hyperprior

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

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


Deep Hashing expermiments

FaceNet: A Unified Embedding for Face Recognition and Clustering

In Defense of the Triplet Loss for Person Re-Identification

Deep metric learning using Triplet network

Deep Supervised Hashing with Triplet Labels

DeepHashing using TripletLoss


Tutorial on Gaussian Processes

Machine learning of linear differential equations using Gaussian processes

Inferring solutions of differential equations using noisy multi-fidelity data

Deep Multi-fidelity Gaussian Processes


Rationalizing Neural Predictions

Invariant Rationalization

Rethinking Cooperative Rationalization: Introspective Extraction and Complement Control


A scalable variant calling and benchmarking framework supporting both short and long reads.

Natural variants suppress mutations in hundreds of essential genes

Spontaneous Mutation Rates and Spectra of Respiratory-Deficient Yeast


Bag of MLP

MLP-Mixer: An all-MLP Architecture for Vision

ResMLP: Feedforward networks for image classification with data-efficient training

Pay Attention to MLPs


scRNA-seq cell type identification

Computational methods for the integrative analysis of single-cell data

scMAGIC: accurately annotating single cells using two rounds of reference-based classification

Multi-task learning from multimodal single-cell omics with Matilda


Official code for "RAMBO: Robust Adversarial Model-Based Offline RL", NeurIPS 2022

RAMBO-RL: Robust Adversarial Model-Based Offline Reinforcement Learning

One Risk to Rule Them All: A Risk-Sensitive Perspective on Model-Based Offline Reinforcement Learning

A Bayesian Approach to Robust Inverse Reinforcement Learning


DQ-BART: Efficient Sequence-to-Sequence Model via Joint Distillation and Quantization (ACL 2022)

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

Transformer models: an introduction and catalog

Understanding INT4 Quantization for Transformer Models: Latency Speedup, Composability, and Failure Cases

ZeroQuant(4+2): Redefining LLMs Quantization with a New FP6-Centric Strategy for Diverse Generative Tasks


Content-Based Video-Music Retrieval using Soft Intra-Modal Structure Constraint

CBVMR: Content-Based Video-Music Retrieval Using Soft Intra-Modal Structure Constraint

International Conference on Multimedia Retrieval

Cross-Modal Music-Video Recommendation: A Study of Design Choices

Video-to-Music Recommendation Using Temporal Alignment of Segments


An implementation that downstreams pre-trained V+L models to VQA tasks. Now support: VisualBERT, LXMERT, and UNITER

UNITER: UNiversal Image-TExt Representation Learning

VisualBERT: A Simple and Performant Baseline for Vision and Language

A Comparison of Pre-trained Vision-and-Language Models for Multimodal Representation Learning across Medical Images and Reports

BERTHop: An Effective Vision-and-Language Model for Chest X-ray Disease Diagnosis

Toward Unsupervised Realistic Visual Question Answering


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

Defending against Model Stealing via Verifying Embedded External Features

Deep Intellectual Property Protection: A Survey

Conflicting Interactions among Protection Mechanisms for Machine Learning Models

False Claims against Model Ownership Resolution


Dynamic Token Expansion with Continual Transformers, accepted at CVPR 2022

DyTox: Transformers for Continual Learning with DYnamic TOken eXpansion

S-Prompts Learning with Pre-trained Transformers: An Occam's Razor for Domain Incremental Learning

A Continual Deepfake Detection Benchmark: Dataset, Methods, and Essentials

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


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

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

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

Faster manipulation of large quantum circuits using wire label reference diagrams


A permutation test (aka randomization test) for MATLAB.

Olfactory loss and brain connectivity after COVID-19

Catching a Liar Through Facial Expression of Fear

Cerebellar and Cortical Correlates of Internal and External Speech Error Monitoring

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


Official code for "Federated Multi-Task Learning under a Mixture of Distributions" (NeurIPS'21)

Federated Optimization in Heterogeneous Networks

Adaptive Personalized Federated Learning

Characterizing Internal Evasion Attacks in Federated Learning

Find Your Friends: Personalized Federated Learning with the Right Collaborators

A Generative Framework for Personalized Learning and Estimation: Theory, Algorithms, and Privacy


A Tensorflow implementation of the paper arXiv:1604.03539

Cross-stitch Networks for Multi-task Learning

Learning Twofold Heterogeneous Multi-Task by Sharing Similar Convolution Kernel Pairs

Learning multi-tasks with inconsistent labels by using auxiliary big task


A python code to model the evolution of dust and gas in protoplanetary discs.

Planet-forming material in a protoplanetary disc: the interplay between chemical evolution and pebble drift

Monthly notices of the Royal Astronomical Society

On dust evolution in planet-forming discs in binary systems - I. Theoretical and numerical modelling: radial drift is faster in binary discs

Monthly Notices of the Royal Astronomical Society

Stellar multiplicity affects the correlation between protoplanetary disc masses and accretion rates: binaries explain high accretors in Upper Sco

On dust evolution in planet-forming discs in binary systems – II. Comparison with Taurus and ρ Ophiuchus (sub-)millimetre observations: discs in binaries have small dust sizes

Modelling the secular evolution of protoplanetary disc dust sizes – a comparison between the viscous and magnetic wind case


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

Detecting and Grounding Multi-Modal Media Manipulation and Beyond

FakeNewsGPT4: Advancing Multimodal Fake News Detection through
  Knowledge-Augmented LVLMs


A Comprehensive Survey on Graph Neural Networks

IEEE transactions on neural networks and learning systems

Graph Neural Networks: A Review of Methods and Applications

Deep Learning on Graphs: A Survey

Large-Scale Learnable Graph Convolutional Networks


Semantic Segmentation Models in Pytorch

U-Net: Convolutional Networks for Biomedical Image Segmentation

Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation

Fully Convolutional Networks for Semantic Segmentation

The One Hundred Layers Tiramisu: Fully Convolutional DenseNets for Semantic Segmentation

Practices and Applications of Convolutional Neural Network-Based Computer Vision Systems in Animal Farming: A Review


XLNet: Generalized Autoregressive Pretraining for Language Understanding

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

North American Chapter of the Association for Computational Linguistics

ZEN: Pre-training Chinese Text Encoder Enhanced by N-gram Representations

Enhancing Aspect-level Sentiment Analysis with Word Dependencies

Conference of the European Chapter of the Association for Computational Linguistics

Improving Constituency Parsing with Span Attention


Renewcast: Forecasting Renewable Electricity Generation in EU Countries.


[AAAI 2022 Oral] This is a Pytorch implementation of the AAAI 2022 paper "Cross-Domain Empirical Risk Minimization for Unbiased Long-tailed Classification"

Long-Tailed Classification by Keeping the Good and Removing the Bad Momentum Causal Effect

Long-tailed Recognition by Routing Diverse Distribution-Aware Experts

Disentangling Label Distribution for Long-tailed Visual Recognition


Official repository for "STAP: Sequencing Task-Agnostic Policies," presented at ICRA 2023.

Dream to Control: Learning Behaviors by Latent Imagination

Sketching Curvature for Efficient Out-of-Distribution Detection for Deep Neural Networks

STAP: Sequencing Task-Agnostic Policies


Solution to Deepfake Detection Challenge

The DeepFake Detection Challenge (DFDC) Dataset

Multi-attentional Deepfake Detection

Towards Measuring Fairness in AI: the Casual Conversations Dataset

Analyzing Fairness in Deepfake Detection With Massively Annotated Databases

Assessment Framework for Deepfake Detection in Real-world Situations


A defunct and ancient set of python bindings for Pairing Based Cryptography

BeeKeeper 2.0: Confidential Blockchain-Enabled IoT System with Fully Homomorphic Computation

Lightweight Fine-Grained Access Control for Wireless Body Area Networks

Federated Online/Offline Remote Data Inspection for Distributed Edge Computing


Final Project for AI Wireless

Over-the-Air Deep Learning Based Radio Signal Classification

IEEE Journal on Selected Topics in Signal Processing

MCNet: An Efficient CNN Architecture for Robust Automatic Modulation Classification

Automatic Modulation Classification Using Compressive Convolutional Neural Network

High-Performance Deep Learning Classification for Radio Signals

CONFERENCE RECORD OF THE 2019 FIFTY-THIRD ASILOMAR CONFERENCE ON SIGNALS, SYSTEMS & COMPUTERS


BFO (Brute-Force Optimizer), a Matlab package to solve unconstrained or bound-constrained optimization in continuous and/or discrete and/or categorical variables.

Efficient unconstrained black box optimization

Exploiting Problem Structure in Derivative Free Optimization

Global and local information in structured derivative free optimization with BFO


This code accompanies the paper "Scalable Multi-Agent Model-Based Reinforcement Learning".

Efficient Multi-agent Reinforcement Learning by Planning

Models as Agents: Optimizing Multi-Step Predictions of Interactive Local Models in Model-Based Multi-Agent Reinforcement Learning

POGEMA: A Benchmark Platform for Cooperative Multi-Agent Navigation


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

RECSYS 2020: 14TH ACM CONFERENCE ON RECOMMENDER SYSTEMS

Context and Attribute-Aware Sequential Recommendation via Cross-Attention

Proceedings of the 16th ACM Conference on Recommender Systems

Improving Transformer-based Sequential Recommenders through Preference Editing

Advances in Collaborative Filtering and Ranking

Sequence Adaptation via Reinforcement Learning in Recommender Systems

Temporal Collaborative Ranking Via Personalized Transformer


Deep learning models for remote sensing applications

ViTs for SITS: Vision Transformers for Satellite Image Time Series

Context-Self Contrastive Pretraining for Crop Type Semantic Segmentation

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

IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium

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


An official PyTorch implementation of "Unnoticeable Backdoor Attacks on Graph Neural Networks" (WWW 2023)

Backdoor Attacks to Graph Neural Networks

Graph Backdoor


LightningFSL: Pytorch-Lightning implementations of Few-Shot Learning models.

Rectifying the Shortcut Learning of Background for Few-Shot Learning

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

Boosting Few-Shot Classification with View-Learnable Contrastive Learning


Import Air Quality Monitoring Data in a Fast and Easy Way

Spatial heterogeneity of air pollution statistics


Context-Based-Question-Answering

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

RoBERTa: A Robustly Optimized BERT Pretraining Approach

DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter

CamemBERT: a Tasty French Language Model

Meeting of the Association for Computational Linguistics


Improved sampling via learned diffusions (ICLR2024) and an optimal control perspective on diffusion-based generative modeling (TMLR2024)

An optimal control perspective on diffusion-based generative modeling

Score-Based Diffusion meets Annealed Importance Sampling

Beyond ELBOs: A Large-Scale Evaluation of Variational Methods for
  Sampling


This repo contains the official code of our work SAM-SLR which won the CVPR 2021 Challenge on Large Scale Signer Independent Isolated Sign Language Recognition.

Skeleton Aware Multi-modal Sign Language Recognition

ChaLearn LAP Large Scale Signer Independent Isolated Sign Language Recognition Challenge: Design, Results and Future Research

Sign Language Recognition via Skeleton-Aware Multi-Model Ensemble

Skeleton Based Sign Language Recognition Using Whole-body Keypoints


morgen - Model Order Reduction for Gas and Energy Networks

Gas Network Benchmark Models

Model order reduction for gas and energy networks

Comparing (Empirical-Gramian-Based) Model Order Reduction Algorithms

German Success Stories in Industrial Mathematics

MathEnergy – Mathematical Key Technologies for Evolving Energy Grids


ISSAFE: Improving Semantic Segmentation in Accidents by Fusing Event-based Data

Exploring Event-driven Dynamic Context for Accident Scene Segmentation

Vision-Based Traffic Accident Detection and Anticipation: A Survey


MCMCtreeR: A package to estimate distribution values for temporal node constraints and prepare input files for MCMCtree

The timescale of early land plant evolution

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

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

A molecular timescale for the origin of red algal-derived plastids


This repository is made for the paper: Masked Vision and Language Pre-training with Unimodal and Multimodal Contrastive Losses for Medical Visual Question Answering

SLAKE: A Semantically-Labeled Knowledge-Enhanced Dataset for Medical Visual Question Answering

PathVQA: 30000+ Questions for Medical Visual Question Answering

Self-supervised vision-language pretraining for Medical visual question answering

Towards A Generalizable Pathology Foundation Model via Unified Knowledge Distillation


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


A bundle of analytics tools for fisheries scientists


Code for our paper: https://www.biorxiv.org/content/10.1101/528463v1

Genetic identification of cell types underlying brain complex traits yields insights into the etiology of Parkinson’s disease

Association between theLRP1BandAPOEloci and the development of Parkinson’s disease dementia

Genome-wide association study followed by trans-ancestry meta-analysis identify 17 new risk loci for schizophrenia

Genome-wide association study of REM sleep behavior disorder identifies novel loci with distinct polygenic and brain expression effects


Heterogeneous information network representation learning

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

Recent Advances in Network-based Methods for Disease Gene Prediction

Network representation learning systematic review: ancestors and current development state

HetIG-PreDiG: A Heterogeneous Integrated Graph Model for Predicting Human Disease Genes based on gene expression


Code and pretrained models for paper: Data-Free Adversarial Distillation

Zero-shot Knowledge Transfer via Adversarial Belief Matching

Data-Free Adversarial Distillation

Defending against Model Stealing via Verifying Embedded External Features

MOVE: Effective and Harmless Ownership Verification via Embedded External Features


SABCEMM-A Simulator for Agent-Based Computational Economic Market Models

SABCEMM-A Simulation Framework for Agent-Based Computational Economic Market Models

Simulation of Stylized Facts in Agent-Based Computational Economic Market Models


1st Solution For ICDAR 2021 Competition on Mathematical Formula Detection（公式检测冠军方案）

FCOS: Fully Convolutional One-Stage Object Detection

ResNeSt: Split-Attention Networks

Bridging the Gap Between Anchor-based and Anchor-free Detection via Adaptive Training Sample Selection

Generalized Focal Loss: Learning Qualified and Distributed Bounding Boxes for Dense Object Detection

FormulaNet: A Benchmark Dataset for Mathematical Formula Detection

1st Place Solution for ICDAR 2021 Competition on Mathematical Formula Detection


C-Mixup for NeurIPS 2022

Extending the WILDS Benchmark for Unsupervised Adaptation

C-Mixup: Improving Generalization in Regression

Invariant-Feature Subspace Recovery: A New Class of Provable Domain Generalization Algorithms

Anchor Data Augmentation

Out of the Ordinary: Spectrally Adapting Regression for Covariate Shift


Topochecker, a topological model checker

Model Checking Spatial Logics for Closure Spaces

VoxLogicA: a Spatial Model Checker for Declarative Image Analysis (Extended Version)

From Collective Adaptive Systems to Human Centric Computation and Back: Spatial Model Checking for Medical Imaging


Early satellite cell communication creates a permissive environment for long-term muscle growth

Integrative Single-Cell RNA-Seq and ATAC-Seq Analysis of Peripheral Mononuclear Cells in Patients With Ankylosing Spondylitis

Human brain organoid model of maternal immune activation identifies radial glia cells as selectively vulnerable

Single-cell analysis of a high-grade serous ovarian cancer cell line reveals transcriptomic changes and cell subpopulations sensitive to epigenetic combination treatment

LSD1 promotes secretory cell specification to drive BRAF mutant colorectal cancer