VarSkip multiplex PCR designs for SARS-CoV-2 sequencing

Longitudinal analysis of serum neutralization of SARS-CoV-2 Omicron BA.2, BA.4, and BA.5 in patients receiving monoclonal antibodies

Virologic and Immunologic Characterization of COVID-19 Recrudescence after Nirmatrelvir/Ritonavir Treatment

Overcoming variant mutation-related impacts on viral sequencing and detection methodologies

Addressing pandemic-wide systematic errors in the SARS-CoV-2 phylogeny

Neutralizing Antibody Responses After Severe Acute Respiratory Syndrome Coronavirus 2 BA.2 and BA.2.12.1 Infection Do Not Neutralize BA.4 and BA.5 and Can Be Blunted by Nirmatrelvir/Ritonavir Treatment

Generalized use of Nirmatrelvir plus ritonavir (Paxlovid): Raising concerns

Enfermedades infecciosas y microbiologia clinica


PyTorch Implementation of "Non-Autoregressive Neural Machine Translation"

Meta-Learning for Low-Resource Neural Machine Translation

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

A Stable and Effective Learning Strategy for Trainable Greedy Decoding


Calculate fastq reads and sequencing coverage

Salmonella Derby: A Comparative Genomic Analysis of Strains From Germany

Comparative Genomic Analysis of Antimicrobial-Resistant Escherichia coli from South American Camelids in Central Germany

Draft Genome Sequences of Multidrug-Resistant Shigella Strains Isolated from Diarrheal Patients in Bangladesh

Epidemiological Analysis on the Occurrence of Salmonella enterica Subspecies enterica Serovar Dublin in the German Federal State Schleswig-Holstein Using Whole-Genome Sequencing


ICLR 2021: Noise against noise: stochastic label noise helps combat inherent label noise

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

DiscrimLoss: A Universal Loss for Hard Samples and Incorrect Samples Discrimination

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


BLEU might be Guilty but References are not Innocent

Human-Paraphrased References Improve Neural Machine Translation

On Systematic Style Differences between Unsupervised and Supervised MT and an Application for High-Resource Machine Translation


This is provisional codes for a conference paper titled "Robustness of Probabilistic U-Net for Automated Segmentation of White Matter Hyperintensity in Different Datasets of Brain MRI".

U-Net: Convolutional Networks for Biomedical Image Segmentation

Attention U-Net: Learning Where to Look for the Pancreas

UNet++: Redesigning Skip Connections to Exploit Multiscale Features in Image Segmentation

A Probabilistic U-Net for Segmentation of Ambiguous Images

Deep Learning based Systems for Crater Detection: A Review


Bitcoin Network Probing Tool

Security and privacy of mobile wallet users in Bitcoin, Dash, Monero, and Zcash

Transaction Clustering Using Network Traffic Analysis for Bitcoin and Derived Blockchains

IEEE CONFERENCE ON COMPUTER COMMUNICATIONS WORKSHOPS (IEEE INFOCOM 2019 WKSHPS)

Towards Better Understanding of Bitcoin Unreachable Peers


Software to help identify overlap between association scan results and GWAS hit catalogs.

Exome sequencing of Finnish isolates enhances rare-variant association power

Generating testable hypotheses for schizophrenia and rheumatoid arthritis pathogenesis by integrating epidemiological, genomic, and protein interaction data

TWAS Atlas: a curated knowledgebase of transcriptome-wide association studies

Open Chromatin Profiling in Adipose Tissue Marks Genomic Regions with Functional Roles in Cardiometabolic Traits

Loci for insulin processing and secretion provide insight into type 2 diabetes risk

Chromatin accessibility and gene expression during adipocyte differentiation identify context-dependent effects at cardiometabolic GWAS loci

Whole Exome Sequencing Enhanced Imputation Identifies 85 Metabolite Associations in the Alpine CHRIS Cohort


Code for AISTATS 2023 paper - Estimating Total Correlation with Mutual Information Estimators

Representation Learning with Contrastive Predictive Coding

CLUB: A Contrastive Log-ratio Upper Bound of Mutual Information


Code associated with paper "High-Dimensional Contextual Policy Search with Unknown Context Rewards using Bayesian Optimization"

Bayesian Optimization with High-Dimensional Outputs

Sparse Bayesian Optimization


Making Pre-trained Language Models Better Few-shot Learners

Revisiting Self-Training for Few-Shot Learning of Language Model


Database of virus RdRP barcode sequences

RdRp-scan: A bioinformatic resource to identify and annotate divergent RNA viruses in metagenomic sequence data

Ribovirus classification by a polymerase barcode sequence

NeoRdRp2 with improved seed data, annotations, and scoring


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

Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks

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

Human-level control through deep reinforcement learning

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

Proximal Policy Optimization Algorithms

Playing Atari with Deep Reinforcement Learning

Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks

Improving Language Understanding by Generative Pre-Training

Quo Vadis, Action Recognition? A New Model and the Kinetics Dataset


Approximate Data Deletion from Machine Learning Models: Algorithms and Evaluations.

A Survey of Machine Unlearning


Embedder with binary sparse distributed representation.

MINE: Mutual Information Neural Estimation

Interpretable Explanations of Black Boxes by Meaningful Perturbation

International Conference on Computer Vision

Opening the Black Box of Deep Neural Networks via Information


Repository for the paper "RTP-LX: Can LLMs Evaluate Toxicity in Multilingual Scenarios?"

Open Datasheets: Machine-readable Documentation for Open Datasets and Responsible AI Assessments

PARIKSHA: A Large-Scale Investigation of Human-LLM Evaluator Agreement
  on Multilingual and Multi-Cultural Data


Implementation of WGAN-QC

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

Entropic Neural Optimal Transport via Diffusion Processes

Wasserstein Iterative Networks for Barycenter Estimation

Kantorovich Strikes Back! Wasserstein GANs are not Optimal Transport?

Generating Synthetic Datasets by Interpolating along Generalized Geodesics


Compute Effort To Compress (ETC) using the NSRPS algorithm in Python

A new complexity measure for time series analysis and classification

The European Physical Journal Special Topics

Noise Reduction Method of Underwater Acoustic Signals Based on CEEMDAN, Effort-To-Compress Complexity, Refined Composite Multiscale Dispersion Entropy and Wavelet Threshold Denoising

Dynamical Complexity Of Short and Noisy Time Series

Transcranial Magnetic Stimulation Combined with EEG Reveals Covert States of Elevated Excitability in the Human Epileptic Brain

Aging and cardiovascular complexity: effect of the length of RR tachograms

Analysis of microvascular blood flow and oxygenation: Discrimination between two haemodynamic steady states using nonlinear measures and multiscale analysis

Data based intervention approach for Complexity-Causality measure

Vagus nerve stimulation modulates complexity of heart rate variability differently during sleep and wakefulness

A novel perturbation based compression complexity measure for networks

Causal Discovery using Compression-Complexity Measures


Likelihood-Free Frequentist Inference

Confidence Sets and Hypothesis Testing in a Likelihood-Free Inference Setting

Simulator-Based Inference with Waldo: Confidence Regions by Leveraging Prediction Algorithms and Posterior Estimators for Inverse Problems

Likelihood-Free Frequentist Inference: Bridging Classical Statistics and Machine Learning for Reliable Simulator-Based Inference


A Matlab package for probabilistic modeling of circular data with mixtures of von Mises distributions.

Egocentric boundary vector tuning of the retrosplenial cortex

Human interictal epileptiform discharges are bidirectional traveling waves echoing ictal discharges

Learning the Vector Coding of Egocentric Boundary Cells from Visual Data

Dynamic Distortion of Orientation Representation after Learning in the Mouse Primary Visual Cortex


Python package for compositional data analysis including CLR/ILR, proportionality, partial correlation with basis shrinkage, and visualizations.

Proportionality: A Valid Alternative to Correlation for Relative Data

Balance Trees Reveal Microbial Niche Differentiation

Understanding sequencing data as compositions: an outlook and review

A field guide for the compositional analysis of any-omics data

propr: An R-package for Identifying Proportionally Abundant Features Using Compositional Data Analysis

How should we measure proportionality on relative gene expression data?

Theory in biosciences = Theorie in den Biowissenschaften

Differential proportionality - a normalization-free approach to differential gene expression

Interactions between fecal gut microbiome, enteric pathogens, and energy regulating hormones among acutely malnourished rural Gambian children

Applications of weighted association networks applied to compositional data in biology


The official implementation of ACL 2023 paper "Label-Aware Hyperbolic Embeddings for Fine-grained Emotion Classification."

Towards Empathetic Open-domain Conversation Models: a New Benchmark and Dataset

GoEmotions: A Dataset of Fine-Grained Emotions

Hyperbolic Entailment Cones for Learning Hierarchical Embeddings

IITK at SemEval-2024 Task 4: Hierarchical Embeddings for Detection of
  Persuasion Techniques in Memes


A flexible Chemical Evolution model in python

Inflow, Outflow, Yields, and Stellar Population Mixing in Chemical Evolution Models

APOGEE Chemical Abundances of the Sagittarius Dwarf Galaxy

APOGEE DR14/DR15 Abundances in the Inner Milky Way

Reconstructing the Disrupted Dwarf Galaxy Gaia-Sausage/Enceladus Using Its Stars and Globular Clusters

Chemical Abundances of Hydrostatic and Explosive Alpha-elements in Sagittarius Stream Stars

The Impact of Starbursts on Element Abundance Ratios


Open-world Story Generation with Structured Knowledge Enhancement: A Comprehensive Survey

A Corpus for Understanding and Generating Moral Stories


Label-Imbalanced and Group-Sensitive Classification under Overparameterization

Learning Imbalanced Datasets with Label-Distribution-Aware Margin Loss

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

Escaping Saddle Points for Effective Generalization on Class-Imbalanced Data


Adaptive and Safe Bayesian Optimization in High Dimensions via One-Dimensional Subspaces

Re-Examining Linear Embeddings for High-Dimensional Bayesian Optimization

High-Dimensional Bayesian Optimization via Tree-Structured Additive Models


Just Annotate My Genome

De novo assembly of the olive fruit fly (Bactrocera oleae) genome with linked-reads and long-read technologies minimizes gaps and provides exceptional Y chromosome assembly

Niche differentiation and evolution of the wood decay machinery in the invasive fungus Serpula lacrymans

G-OnRamp: Generating genome browsers to facilitate undergraduate-driven collaborative genome annotation

Massive genome reduction predates the divergence of Symbiodiniaceae dinoflagellates


Official repository for paper "Conservative Offline Distributional Reinforcement Learning" (NeurIPS 2021)

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


R Functions to calculate power of GWAS studies for a single associated SNP, under various parameters. Suitable for classical (i.e. single-SNP single-trait) GWAS studies using linear regression models, i.e for quantitative traits.

10 Years of GWAS Discovery: Biology, Function, and Translation

Ten years of enhancing neuro-imaging genetics through meta-analysis: An overview from the ENIGMA Genetics Working Group

Multivariate GWAS of Alzheimer’s disease CSF biomarker profiles implies GRIN2D in synaptic functioning

A Genetic Study of Cerebral Atherosclerosis Reveals Novel Associations with NTNG1 and CNOT3

Genome wide association study of clinical duration and age at onset of sporadic CJD


Python package for the computation of the Bipartite Configuration Model.

Exact maximum-likelihood method to detect patterns in real networks

Comparing alternatives to the fixed degree sequence model for extracting the backbone of bipartite projections

The different structure of economic ecosystems at the scales of companies and countries

Inferring comparative advantage via entropy maximization


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


A Closer Look at How Fine-tuning Changes BERT

DirectProbe: Studying Representations without Classifiers

Verifying Annotation Agreement without Multiple Experts: A Case Study with Gujarati SNACS

Findings of the Association for Computational Linguistics: ACL 2023


This repository contains the code for our recent paper `Minimal Random Code Learning: Getting Bits Back from Compressed Model Parameters'

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

Bayesian Compression for Deep Learning

Weightless: Lossy Weight Encoding For Deep Neural Network Compression

Excursion Search for Constrained Bayesian Optimization under a Limited Budget of Failures


EvoDynamic seeks to evolve and develop suitable discrete dynamic models of self-organizing systems based on local interactions.

A neuro-inspired general framework for the evolution of stochastic dynamical systems: Cellular automata, random Boolean networks and echo state networks towards criticality

EvoDynamic: A Framework for the Evolution of Generally Represented Dynamical Systems and Its Application to Criticality

A general representation of dynamical systems for reservoir computing


My modified version of YoloV5 training, cross-validation and inference with Pseudo Labelling pytorch pipelines used in GWD Kaggle Competition

mixup: Beyond Empirical Risk Minimization

Pseudo-Labeling and Confirmation Bias in Deep Semi-Supervised Learning

Dynamic Scale Training for Object Detection


Embedding Logical Queries on Knowledge Graphs

Query2box: Reasoning over Knowledge Graphs in Vector Space using Box Embeddings

Beta Embeddings for Multi-Hop Logical Reasoning in Knowledge Graphs

Complex Query Answering with Neural Link Predictors


More dimensions = More fun

Vision Transformer for Small-Size Datasets

Mega: Moving Average Equipped Gated Attention

2-D SSM: A General Spatial Layer for Visual Transformers


This repository is an implementation of "MASER: Multi-Agent Reinforcement Learning with Subgoals Generated from Experience Replay Buffer" accepted to ICML 2022.

Semantically Aligned Task Decomposition in Multi-Agent Reinforcement Learning

Imagine, Initialize, and Explore: An Effective Exploration Method in Multi-Agent Reinforcement Learning


Efficient Architecture Search for Diverse Tasks

Rethinking Neural Operations for Diverse Tasks


Conservative Q-Learning for Offline Reinforcement Learning

Off-Policy Deep Reinforcement Learning without Exploration

COMBO: Conservative Offline Model-Based Policy Optimization

PLAS: Latent Action Space for Offline Reinforcement Learning


About MindSpore implementations of various Deep NLP models in cs-224n(Stanford Univ)

GloVe: Global Vectors for Word Representation

Empirical Methods in Natural Language Processing

UWB @ DIACR-Ita: Lexical Semantic Change Detection with CCA and Orthogonal Transformation

Neural Machine Translation by Jointly Learning to Align and Translate

Convolutional Neural Networks for Sentence Classification

Recursive Deep Models for Semantic Compositionality Over a Sentiment Treebank

Ask Me Anything: Dynamic Memory Networks for Natural Language Processing

A Simple Way to Initialize Recurrent Networks of Rectified Linear Units

On Multilingual Training of Neural Dependency Parsers


linelist generator

The R-process Alliance: First Release from the Southern Search for R-process-enhanced Stars in the Galactic Halo

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

TheR-Process Alliance: Fourth Data Release from the Search forR-process-enhanced Stars in the Galactic Halo

The Astrophysical Journal Supplement Series

The R-Process Alliance: 2MASS J09544277+5246414, the Most Actinide-enhanced R-II Star Known

Linemake: An Atomic and Molecular Line List Generator

The Southern Stellar Stream Spectroscopic Survey (S5): Chemical Abundances of Seven Stellar Streams

The R -Process Alliance: First Magellan/MIKE Release from the Southern Search for R -process-enhanced Stars

Chemo-dynamics of outer halo dwarf stars, including Gaia-Sausage and Gaia-Sequoia candidates

Monthly Notices of the Royal Astronomical Society

The Pristine survey IX. CFHT ESPaDOnS spectroscopic analysis of 115 bright metal-poor candidate stars

Chemical abundance analysis of tucana III, the second r-process enhanced ultra-faint dwarf galaxy


Combines Bayesian analyses from many datasets.

The eROSITA Final Equatorial-Depth Survey (eFEDS): The AGN Catalogue and its X-ray Spectral Properties

The Empirical Limits of Gyrochronology

A panchromatic view of infrared quasars: excess star formation and radio emission in the most heavily obscured systems

The COS CGM Compendium. IV. Effects of Varying Ionization Backgrounds on Metallicity Determinations in the z < 1 Circumgalactic Medium

Obscuration beyond the nucleus: infrared quasars can be buried in extreme compact starbursts

Statistical Aspects of X-ray Spectral Analysis


Evaluation of Sentence Representations in Polish

Training Effective Neural Sentence Encoders from Automatically Mined Paraphrases

Improving Domain-Specific Retrieval by NLI Fine-Tuning


Dynamic Analysis for Concurrent Programs

What Happens - After the First Race? Enhancing the Predictive Power of Happens - Before Based Dynamic Race Detection

Optimal Prediction of Synchronization-Preserving Races

Atomicity Checking in Linear Time using Vector Clocks

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

Data Race Detection on Compressed Traces

Sound Dynamic Deadlock Prediction in Linear Time

RegionTrack: A Trace-Based Sound and Complete Checker to Debug Transactional Atomicity Violations and Non-Serializable Traces

Predictive Monitoring against Pattern Regular Languages

Optimistic Prediction of Synchronization-Reversal Data Races


SentAlign: Accurate and Scalable Sentence Alignment

Findings of the WMT 2023 Shared Task on Parallel Data Curation

Proceedings of the Eighth Conference on Machine Translation

A Sentence Alignment Approach to Document Alignment and Multi-faceted Filtering for Curating Parallel Sentence Pairs from Web-crawled Data


Scaleable input gradient regularization

Explaining and Harnessing Adversarial Examples

A Closer Look at Accuracy vs. Robustness

Scaleable input gradient regularization for adversarial robustness

Adversarial Robustness Through Local Lipschitzness

Improved robustness to adversarial examples using Lipschitz regularization of the loss


Fast regression modeling framework

Cross-Lingual Metaphor Detection Using Common Semantic Features

The Utility of Text: The Case of Amicus Briefs and the Supreme Court

Identifying the L1 of non-native writers: the CMU-Haifa system

Workshop on Innovative Use of NLP for Building Educational Applications

Generating English Determiners in Phrase-Based Translation with Synthetic Translation Options

Workshop on Statistical Machine Translation


Anno is a variant annotation tool

Exome sequencing in families with chronic central serous chorioretinopathy

Exome sequencing in patients with chronic central serous chorioretinopathy

Variable Effects of PD-Risk Associated SNPs and Variants in Parkinsonism-Associated Genes on Disease Phenotype in a Community-Based Cohort

Association analyses of rare variants identify two genes associated with refractive error


Relational Reflection Entity Alignment

Relational Reflection Entity Alignment

International Conference on Information and Knowledge Management

Time-aware Graph Neural Network for Entity Alignment between Temporal Knowledge Graphs

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

Knowledge graph embedding methods for entity alignment: experimental review

Dependency-aware Self-training for Entity Alignment

Guiding Neural Entity Alignment with Compatibility


a tool to segment the hypothalamus and associated subunits on T1-weighted MRI scans

Automated segmentation of the hypothalamus and associated subunits in brain MRI

A Learning Strategy for Contrast-agnostic MRI Segmentation

A deep learning toolbox for automatic segmentation of subcortical limbic structures from MRI images

Unsupervised Data Imputation via Variational Inference of Deep Subspaces


UNC-Chapel Hill Bioinformatics Utilities

Integrative genomic profiling of large-cell neuroendocrine carcinomas reveals distinct subtypes of high-grade neuroendocrine lung tumors

Comparison of RNA-Seq by poly (A) capture, ribosomal RNA depletion, and DNA microarray for expression profiling

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

Unifying cancer and normal RNA sequencing data from different sources

Mitochondrial respiratory gene expression is suppressed in many cancers

Differential expression of alternatively spliced transcripts related to energy metabolism in colorectal cancer

Breast cancer PAM50 signature: correlation and concordance between RNA-Seq and digital multiplexed gene expression technologies in a triple negative breast cancer series

Alterations in Wnt- and/or STAT3 signaling pathways and the immune microenvironment during metastatic progression

Enabling cross-study analysis of RNA-Sequencing data


Code to reproduce NeuralMind's submissions to COLIEE 2021 and COLIEE 2022

DeBERTa: Decoding-enhanced BERT with Disentangled Attention

Document Ranking with a Pretrained Sequence-to-Sequence Model

Yes, BM25 is a Strong Baseline for Legal Case Retrieval

To Tune or Not To Tune? Zero-shot Models for Legal Case Entailment

International Conference on Artificial Intelligence and Law

Billions of Parameters Are Worth More Than In-domain Training Data: A case study in the Legal Case Entailment Task

Bringing order into the realm of Transformer-based language models for artificial intelligence and law


An Enhanced Lesk Word Sense Disambiguation Algorithm through a Distributional Semantic Model

International Conference on Computational Linguistics

Simple Embedding-Based Word Sense Disambiguation

Persian-WSD-Corpus: A Sense Annotated Corpus for Persian All-words Word Sense Disambiguation


Paper list of dementia detection

Linguistic Features Identify Alzheimer's Disease in Narrative Speech.

Alzheimer's Dementia Recognition through Spontaneous Speech: The ADReSS Challenge

A Speech Recognition-based Solution for the Automatic Detection of Mild Cognitive Impairment from Spontaneous Speech

Artificial Intelligence, speech and language processing approaches to monitoring Alzheimer's Disease: a systematic review

An Assessment of Paralinguistic Acoustic Features for Detection of Alzheimer's Dementia in Spontaneous Speech

IEEE Journal on Selected Topics in Signal Processing

Detecting cognitive decline using speech only: The ADReSSo Challenge

To BERT or Not To BERT: Comparing Speech and Language-based Approaches for Alzheimer's Disease Detection

Linguistic markers predict onset of Alzheimer's disease

Disfluencies and Fine-Tuning Pre-Trained Language Models for Detection of Alzheimer’s Disease

Predicting MCI Status From Multimodal Language Data Using Cascaded Classifiers


Official PyTorch implementation of TTS Style Transfer

Natural TTS Synthesis by Conditioning WaveNet on Mel Spectrogram Predictions

Tacotron: Towards End-to-End Speech Synthesis

Efficient Neural Audio Synthesis

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

Enhancing Speech Intelligibility in Text-To-Speech Synthesis using Speaking Style Conversion


Python scripts for matching output of Pacific Biosciences IsoSeq RNA-seq pipeline to an annotation file.

Plant 24-nt reproductive phasiRNAs from intramolecular duplex mRNAs in diverse monocots

Combining next-generation sequencing and single-molecule sequencing to explore brown plant hopper responses to contrasting genotypes of japonica rice

PacBio single molecule long-read sequencing provides insight into the complexity and diversity of the Pinctada fucata martensii transcriptome

SMRT sequencing analysis reveals the full-length transcripts and alternative splicing patterns in Ananas comosus var. bracteatus

Genetic and Epigenetic Changes Are Rapid Responses of the Genome to the Newly Synthesized Autotetraploid Carassius auratus


The official implementation of DropGNN: Random Dropouts Increase the Expressiveness of Graph Neural Networks (NeurIPS 2021)

How Powerful are Graph Neural Networks?

Agent-based Graph Neural Networks

Asynchronous Neural Networks for Learning in Graphs


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


a Customized Proteogenomic Workflow for Neoantigen Prediction and Selection

Main Strategies for the Identification of Neoantigens

Computational cancer neoantigen prediction: current status and recent advances

ProGeo-neo: a customized proteogenomic workflow for neoantigen prediction and selection

Deciphering Human Leukocyte Antigen Susceptibility Maps From Immunopeptidomics Characterization in Oncology and Infections

Frontiers in cellular and infection microbiology


Benchmarking

Benchmarking the performance of Bayesian optimization across multiple experimental materials science domains

Toward autonomous additive manufacturing: Bayesian optimization on a 3D printer

Multi‐Fidelity High‐Throughput Optimization of Electrical Conductivity in P3HT‐CNT Composites

Unexpected Improvements to Expected Improvement for Bayesian Optimization

Bayesian Optimisation Against Climate Change: Applications and Benchmarks


Question Answering System using BiDAF Model on SQuAD v2.0

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

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

Know What You Don't Know: Unanswerable Questions for SQuAD

Bidirectional Attention Flow for Machine Comprehension


Efficient Wasserstein Barycenter in MATLAB (for "Fast Discrete Distribution Clustering Using Wasserstein Barycenter with Sparse Support" TSP)

Fast Discrete Distribution Clustering Using Wasserstein Barycenter With Sparse Support

A Fast Globally Linearly Convergent Algorithm for the Computation of Wasserstein Barycenters

Interior-Point Methods Strike Back: Solving the Wasserstein Barycenter Problem

Dimensionality Reduction for Wasserstein Barycenter

Simple approximative algorithms for free-support Wasserstein barycenters

Approximative Algorithms for Multi-Marginal Optimal Transport and Free-Support Wasserstein Barycenters

Fuzzy c-Means Clustering for Persistence Diagrams


astromonical fits image for python matplotlib

K2 Rotation Periods for Low-mass Hyads and a Quantitative Comparison of the Distribution of Slow Rotators in the Hyades and Praesepe

Poking the Beehive from Space: K2 Rotation Periods for Praesepe

K2 ROTATION PERIODS FOR LOW-MASS HYADS AND THE IMPLICATIONS FOR GYROCHRONOLOGY


Amino acid embedding and Convolutional Neural Network for HLA Class I-peptide binding prediction

Predicting Antigen Presentation—What Could We Learn From a Million Peptides?

HLA class I binding prediction via convolutional neural networks

sNebula, a network-based algorithm to predict binding between human leukocyte antigens and peptides


Episode-based Prototype Generating Network for Zero-Shot Learning

Multimodality in Meta-Learning: A Comprehensive Survey

Efficient Gaussian Process Model on Class-Imbalanced Datasets for Generalized Zero-Shot Learning


The official repository of Decoupled Reinforcement Learning to Stabilise Intrinsically-Motivated Exploration" (AAMAS 2022)

Curiosity-driven Exploration by Self-supervised Prediction

Exploration by Random Network Distillation

#Exploration: A Study of Count-Based Exploration for Deep Reinforcement Learning

RIDE: Rewarding Impact-Driven Exploration for Procedurally-Generated Environments


XLNet: Generalized Autoregressive Pretraining for Language Understanding

Transformer-XL: Attentive Language Models Beyond a Fixed-Length Context

AutoMeTS: The Autocomplete for Medical Text Simplification

Mitigating Data Scarcity for Large Language Models


Deep Learning for Text Style Transfer: A Survey

Evaluating prose style transfer with the Bible

An Evaluation of Disentangled Representation Learning for Texts

Meeting of the Association for Computational Linguistics

A Comprehensive Survey of Natural Language Generation Advances from the Perspective of Digital Deception

An Empirical Study on Multi-Task Learning for Text Style Transfer and Paraphrase Generation


Implementation for the Neural Logic Machines (NLM).

End-To-End Memory Networks

Neural Logic Machines

Neuro-Symbolic Inductive Logic Programming with Logical Neural Networks

Abductive Knowledge Induction From Raw Data

Neuro-Symbolic AI: An Emerging Class of AI Workloads and their Characterization

Neural Learning of One-of-Many Solutions for Combinatorial Problems in Structured Output Spaces


The calflops is designed to calculate FLOPs、MACs and Parameters in all various neural networks, such as Linear、 CNN、 RNN、 GCN、Transformer(Bert、LlaMA etc Large Language Model)

Efficient and Effective Text Encoding for Chinese LLaMA and Alpaca

Reducing Activation Recomputation in Large Transformer Models

The Larger the Better? Improved LLM Code-Generation via Budget
  Reallocation

SelfCP: Compressing over-limit prompt via the frozen large language model itself

Knowledge Distillation from Language-Oriented to Emergent Communication for Multi-Agent Remote Control

LeMeViT: Efficient Vision Transformer with Learnable Meta Tokens for Remote Sensing Image Interpretation

Arena: A Patch-of-Interest ViT Inference Acceleration System for
  Edge-Assisted Video Analytics


OptiX 7 Powered Realtime Acoustic Raytracing

Overview of geometrical room acoustic modeling techniques

The Journal of the Acoustical Society of America

CUDA vs OpenACC: Performance Case Studies with Kernel Benchmarks and a Memory-Bound CFD Application

PROCEEDINGS OF THE 2013 13TH IEEE/ACM INTERNATIONAL SYMPOSIUM ON CLUSTER, CLOUD AND GRID COMPUTING (CCGRID 2013)

Multi-channel IIR filtering of audio signals using a GPU

International Conference on Acoustics, Speech, and Signal Processing

GPU-based image method for room impulse response calculation

A real-time crosstalk canceller on a notebook GPU

International Conference on Multimedia and Expo

Efficient adaptation and high reusability of test suites in a black box testing environment


Learning without Exact Guidance: Updating Large-scale High-resolution
  Land Cover Maps from Low-resolution Historical Labels

Generalized Few-Shot Meets Remote Sensing: Discovering Novel Classes in Land Cover Mapping via Hybrid Semantic Segmentation Framework


This is a Pytorch implementation of our "Learning on Attribute-Missing Graphs".

Learning on Attribute-Missing Graphs

IEEE transactions on pattern analysis and machine intelligence

Accurate Node Feature Estimation with Structured Variational Graph Autoencoder

Node Attribute Generation on Graphs


code associated with WANLI dataset in Liu et al., 2022

WANLI: Worker and AI Collaboration for Natural Language Inference Dataset Creation

Goal Driven Discovery of Distributional Differences via Language Descriptions

RoAST: Robustifying Language Models via Adversarial Perturbation with Selective Training


Implementations of F-ing modules and 1ML, as well as bibliography of (mainly ML-style) modules

F-ing modules

Types In Languages Design And Implementation

Static interpretation of higher-order modules in Futhark: functional GPU programming in the large

Proceedings of the ACM on Programming Languages

Modules, abstraction, and parametric polymorphism

Symposium on Principles of Programming Languages

1ML – core and modules united (F-ing first-class modules)

PROCEEDINGS OF THE 20TH ACM SIGPLAN INTERNATIONAL CONFERENCE ON FUNCTIONAL PROGRAMMING (ICFP'15)

1ML – Core and modules united

Backpack

Fully abstract module compilation

A syntactic type system for recursive modules

OOPSLA 11: PROCEEDINGS OF THE 2011 ACM INTERNATIONAL CONFERENCE ON OBJECT ORIENTED PROGRAMMING SYSTEMS LANGUAGES AND APPLICATIONS

Characterising renaming within OCaml’s module system: theory and implementation

Programming Language Design and Implementation

Contractive Signatures with Recursive Types, Type Parameters, and Abstract Types


Source for Action Schema Networks paper (AAAI'18)

Action Schema Networks: Generalised Policies with Deep Learning

ASNets: Deep Learning for Generalised Planning

Journal of Artificial Intelligence Research

Reinforcement learning on graphs: A survey


(WSDM2020) "Unbiased Recommender Learning from Missing-Not-At-Random Implicit Feedback"

Debiased Recommendation with Neural Stratification

From Intervention to Domain Transportation: A Novel Perspective to Optimize Recommendation


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


Paper implemention of paper "Blind Image Deconvolution using Deep Generative Priors"

Progressive Growing of GANs for Improved Quality, Stability, and Variation

Blind Image Deconvolution using Pretrained Generative Priors


Sinhalese Language based Hate Speech Detection

Automated Hate Speech Detection and the Problem of Offensive Language

Hateful Symbols or Hateful People? Predictive Features for Hate Speech Detection on Twitter

North American Chapter of the Association for Computational Linguistics

Deep Learning for Hate Speech Detection in Tweets

WWW'17 COMPANION: PROCEEDINGS OF THE 26TH INTERNATIONAL CONFERENCE ON WORLD WIDE WEB

Are You a Racist or Am I Seeing Things? Annotator Influence on Hate Speech Detection on Twitter

Using Convolutional Neural Networks to Classify Hate-Speech


Genomic Multivariate Analysis Tools

Rapid Epistatic Mixed Model Association Studies by Controlling Multiple Polygenic Effects

Marker density and statistical model designs to increase accuracy of genomic selection for wool traits in Angora rabbits

An Improved Linear Mixed Model for Multivariate Genome-Wide Association Studies


I provide a python package for transformations between WD photometry (Gaia, SDSS, WISE, and many more) and physical parameters, based on interpolation of existing atmosphere grid and cooling models. If you use this tool, please cite this website and the corresponding papers of atmosphere grid (synthetic colors) and cooling models.

Carbon star formation as seen through the non-monotonic initial–final mass relation

Masses of White Dwarf Binary Companions to Type Ia Supernovae Measured from Runaway Velocities

Triage of the Gaia DR3 astrometric orbits. II. A census of white dwarfs

Hyper-runaway and hypervelocity white dwarf candidates in Gaia Data Release 3: possible remnants from Ia/Iax supernova explosions or dynamical encounters


Discriminator-Actor-Critic: Addressing Sample Inefficiency and Reward Bias in Adversarial Imitation Learning

Generative Adversarial Imitation from Observation

A Ranking Game for Imitation Learning

LobsDICE: Offline Learning from Observation via Stationary Distribution Correction Estimation

DiffAIL: Diffusion Adversarial Imitation Learning

Imitation learning by state-only distribution matching


Suite of tools for use in genome assembly and consensus. Work in progress.

Genetic Barriers to Historical Gene Flow between Cryptic Species of Alpine Bumblebees Revealed by Comparative Population Genomics

Rapid adaptive radiation of Darwin’s finches depends on ancestral genetic modules


[WWW 2021]Task-adaptive Neural Process for User Cold-Start Recommendation

ColdNAS: Search to Modulate for User Cold-Start Recommendation


2D Helmholtz scattering and eigenvalue problems via particular solutions and integral equations

Comparable upper and lower bounds for boundary values of Neumann eigenfunctions and tight inclusion of eigenvalues

Applying GMRES to the Helmholtz equation with strong trapping: how does the number of iterations depend on the frequency?

Computation of Scattering Matrices and their Derivatives for Waveguides

Numerically stable computation of embedding formulae for scattering by polygons


A lightweight accelerated proximal-gradient package for matlab

Generalized damped Newton algorithms in nonsmooth optimization via second-order subdifferentials

RAPID: Rapidly Accelerated Proximal Gradient Algorithms for Convex Minimization

Information criteria for non-normalized models

Relaxed regularization for linear inverse problems


Regularizing and Optimizing LSTM Language Models

Improving Neural Language Models with a Continuous Cache

Building Language Models for Text with Named Entities


NIPS 2017 - Adversarial Learning

Improving Transferability of Adversarial Examples with Input Diversity

Evading Defenses to Transferable Adversarial Examples by Translation-Invariant Attacks

Nesterov Accelerated Gradient and Scale Invariance for Adversarial Attacks

Admix: Enhancing the Transferability of Adversarial Attacks

Improving Adversarial Transferability via Neuron Attribution-based Attacks

Learning Transferable Adversarial Examples via Ghost Networks

Frequency Domain Model Augmentation for Adversarial Attack

On the Effectiveness of Low Frequency Perturbations

Meta Gradient Adversarial Attack

Improving the Transferability of Adversarial Examples with Resized-Diverse-Inputs, Diversity-Ensemble and Region Fitting


This repository contains the basic outlier detection algorithm that we use to find the weirdest SDSS galaxies.

Machine Learning in Astronomy: a practical overview

The weirdest SDSS galaxies: results from an outlier detection algorithm

Monthly Notices of the Royal Astronomical Society

Detecting outliers and learning complex structures with large spectroscopic surveys - a case study with APOGEE stars

Characterization of Supernovae Based on the Spectral–Temporal Energy Distribution: Two Possible SN Ib Subtypes


PERT: A Progressively Region-based Network for Scene Text Removal (TIP2023)

What is the Real Need for Scene Text Removal? Exploring the Background Integrity and Erasure Exhaustivity Properties

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

A Simple and Strong Baseline: Progressively Region-based Scene Text Removal Networks.


Figure 1 COVID-19 Chest X-ray Dataset Initiative

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

Dynamic Fusion based Federated Learning for COVID-19 Detection

Automated Detection and Forecasting of COVID-19 using Deep Learning Techniques: A Review

DeepCOVIDExplainer: Explainable COVID-19 Diagnosis Based on Chest X-ray Images

CovidXrayNet: Optimizing data augmentation and CNN hyperparameters for improved COVID-19 detection from CXR

A Survey on Applications of Artificial Intelligence in Fighting Against COVID-19

SARS-Net: COVID-19 detection from chest x-rays by combining graph convolutional network and convolutional neural network

Artificial Intelligence applied to chest X-Ray images for the automatic detection of COVID-19. A thoughtful evaluation approach

FLOP: Federated Learning on Medical Datasets using Partial Networks

Public Covid-19 X-ray datasets and their impact on model bias - a systematic review of a significant problem


Dot: An interactive dot plot viewer for comparative genomics

Metabolic novelty originating from horizontal gene transfer is essential for leaf beetle survival

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

A gap-free genome assembly of Chlamydomonas reinhardtii and detection of translocations induced by CRISPR-mediated mutagenesis

Chromosome-scale genome assembly of bread wheat’s wild relative Triticum timopheevii

CRISPR/Cas9-Mediated Enrichment Coupled to Nanopore Sequencing Provides a Valuable Tool for the Precise Reconstruction of Large Genomic Target Regions

International journal of molecular sciences

Chromosome-level genome assembly of Lilford’s wall lizard, Podarcis lilfordi (Günther, 1874) from the Balearic Islands (Spain)

Chromosome-length genome assemblies of cactophilicDrosophilailluminate links between structural and sequence evolution

A reference genome assembly of the declining tricolored blackbird, Agelaius tricolor

Illumina short-read sequencing data, de novo assembly and annotations of the Drosophila nasuta nasuta genome


The code and data for the GPT-4 based benchmark in the vicuna blog post

DoLa: Decoding by Contrasting Layers Improves Factuality in Large Language Models

Datasets for Large Language Models: A Comprehensive Survey

SELF: Self-Evolution with Language Feedback

Hyperparameter Optimization for Large Language Model Instruction-Tuning

A Survey on Human Preference Learning for Large Language Models


A Simple and Effective Approach to Automatic Post-Editing with Transfer Learning

Can Automatic Post-Editing Improve NMT?

Alibaba’s Submission for the WMT 2020 APE Shared Task: Improving Automatic Post-Editing with Pre-trained Conditional Cross-Lingual BERT

Empirical Methods in Natural Language Processing

Generating Responses that Reflect Meta Information in User-Generated Question Answer Pairs

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

OpenTIPE: An Open-source Translation Framework for Interactive Post-Editing Research

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations)


Code for the 2019 TACL Paper "Trick Me If You Can: Human-in-the-loop Generation of Adversarial Question Answering Examples"

Towards a Robust Deep Neural Network in Texts: A Survey

Trick Me If You Can: Human-in-the-loop Generation of Adversarial Examples for Question Answering

Interpreting Neural Networks With Nearest Neighbors


Code of 'Interaction-and-aggregation network for person re-identification' (CVPR2019), and 'IAUnet: Global Context-Aware Feature Learning for Person Re-Identification' (TNNLS 2021).

Interaction-and-Aggregation Network for Person Re-identification

Temporal Complementary Learning for Video Person Re-Identification

IAUnet: Global Context-Aware Feature Learning for Person Reidentification


Explaining and Harnessing Adversarial Examples

Towards Deep Learning Models Resistant to Adversarial Attacks

Theoretically Principled Trade-off between Robustness and Accuracy

Adversarial Logit Pairing

Adversarial Robustness with Semi-Infinite Constrained Learning

Probabilistically Robust Learning: Balancing Average- and Worst-case Performance

It begins with a boundary: A geometric view on probabilistically robust learning


An ECG based biometric model for specialised authentication systems

End-to-End Incremental Learning

ECG arrhythmia classification using a 2-D convolutional neural network

Classification of Arrhythmia by Using Deep Learning with 2-D ECG Spectral Image Representation

A Comparison of 1-D and 2-D Deep Convolutional Neural Networks in ECG Classification


DNET - Power Distribution Network Evaluation Tool

Evaluation of Annual Energy Loss Reduction Based on Reconfiguration Scheduling

Maximizing hosting capacity of distributed generation by network reconfiguration in distribution system

Distribution Network Verification for Secure Restoration by Enumerating All Critical Failures


A GAN based framework for artifacts and noise removal

TomoGAN: low-dose synchrotron x-ray tomography with generative adversarial networks: discussion

Journal of the Optical Society of America. A, Optics, image science, and vision

Deep Learning Accelerated Light Source Experiments

Scientific Image Restoration Anywhere

Joint ptycho-tomography with deep generative priors


A pytorch-version implementation codes of paper:  "BMN: Boundary-Matching Network for Temporal Action Proposal Generation",   which is accepted in ICCV 2019.

Rescaling Egocentric Vision: Collection, Pipeline and Challenges for EPIC-KITCHENS-100

Boundary-sensitive Pre-training for Temporal Localization in Videos

Low-Fidelity Video Encoder Optimization for Temporal Action Localization

Structured Attention Composition for Temporal Action Localization

A Comprehensive Review on Temporal-Action Proposal Generation


Codes for the benchmark experiments in the paper "Self-supervised Learning in Remote Sensing: A Review"

SSL4EO-S12: A Large-Scale Multi-Modal, Multi-Temporal Dataset for Self-Supervised Learning in Earth Observation

Self-Supervised Vision Transformers for Joint SAR-Optical Representation Learning


Tables of ECS, Effective Radiative Forcing, and Radiative Feedbacks from Zelinka et al., GRL (2020).

Increasing Precipitation Efficiency Amplifies Climate Sensitivity by Enhancing Tropical Circulation Slowdown and Eastern Pacific Warming Pattern


Tensorflow 1.14 for Bert, Bert UniLM, ALBert

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

ALBERT: A Lite BERT for Self-supervised Learning of Language Representations

Unified Language Model Pre-training for Natural Language Understanding and Generation


DeepInf: Social Influence Prediction with Deep Learning

Deep Learning on Graphs: A Survey

Graph Domain Adaptation: A Generative View

A Systematic Review of Deep Graph Neural Networks: Challenges, Classification, Architectures, Applications & Potential Utility in Bioinformatics


Tensor ring low-rank factors (AAAI 2019)

Dictionary Learning With Low-Rank Coding Coefficients for Tensor Completion

Noisy Tensor Completion via Low-Rank Tensor Ring

Randomized algorithms for fast computation of low rank tensor ring model

Machine Learning: Science and Technology

Low-rank Tensor Learning with Nonconvex Overlapped Nuclear Norm Regularization


Gluon implementation of channel-attention modules: SE, ECA, GCT

Squeeze-and-Excitation Networks

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

Gated Channel Transformation for Visual Recognition


Learning local search heuristics for Boolean satisfiability

Learning Local Search Heuristics for Boolean Satisfiability

One Model, Any CSP: Graph Neural Networks as Fast Global Search Heuristics for Constraint Satisfaction


Product-Aware Answer Generation in E-Commerce Question-Answering

Meaningful Answer Generation of E-Commerce Question-Answering

Product Question Answering in E-Commerce: A Survey


A language detection software

Quilt-1M: One Million Image-Text Pairs for Histopathology

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

Findings of the The RuATD Shared Task 2022 on Artificial Text Detection in Russian

If in a Crowdsourced Data Annotation Pipeline, a GPT-4

Proceedings of the CHI Conference on Human Factors in Computing Systems

VeriDark: A Large-Scale Benchmark for Authorship Verification on the Dark Web

A Comparative Study of Pretrained Language Models on Thai Social Text Categorization


Code and data for the FACTOR paper

The RefinedWeb Dataset for Falcon LLM: Outperforming Curated Corpora with Web Data, and Web Data Only

Generating Benchmarks for Factuality Evaluation of Language Models

ExpertQA: Expert-Curated Questions and Attributed Answers


This repository contains C++ source code used in several publications in the area of route planning.

Real-time Traffic Assignment Using Engineered Customizable Contraction Hierarchies

ACM Journal of Experimental Algorithmics

Real-Time Traffic Assignment Using Fast Queries in Customizable Contraction Hierarchies

Efficient Calculation of Microscopic Travel Demand Data with Low Calibration Effort

Advances in Geographic Information Systems

Nearest-Neighbor Queries in Customizable Contraction Hierarchies and Applications


An opensource ChatBot built with ExpertPrompting which achieves 96% of ChatGPT's capability.

LLaMA: Open and Efficient Foundation Language Models

Self-Instruct: Aligning Language Models with Self-Generated Instructions

ExpertPrompting: Instructing Large Language Models to be Distinguished Experts


Winning Solution of the NeurIPS 2020 Competition on Predicting Generalization in Deep Learning

Representation Based Complexity Measures for Predicting Generalization in Deep Learning

Predicting Deep Neural Network Generalization with Perturbation Response Curves

Gi and Pal Scores: Deep Neural Network Generalization Statistics


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

Optimal Parameter and Neuron Pruning for Out-of-Distribution Detection

Gradient-Regularized Out-of-Distribution Detection


Algorithm for the inference of cell types and lineage trees from single-cell RNA-seq data.

De Novo Prediction of Stem Cell Identity using Single-Cell Transcriptome Data

Single cell RNA-seq reveals profound transcriptional similarity between Barrett’s oesophagus and oesophageal submucosal glands

GiniClust2: a cluster-aware, weighted ensemble clustering method for cell-type detection

BEARscc determines robustness of single-cell clusters using simulated technical replicates

Discovery of Muscle-Tendon Progenitor Subpopulation in Human Myotendinous Junction at Single-Cell Resolution

FitDevo: accurate inference of single-cell developmental potential using sample-specific gene weight


Code for reproducing results from our paper, Robustness of conditional GANs to noisy labels, NIPS 2018

Conditional Generative Adversarial Nets

A Note on the Inception Score

Robustness of Conditional GANs to Noisy Labels


Visualizer for PyTorch image models

Grad-CAM: Visual Explanations from Deep Networks via Gradient-Based Localization

International Journal of Computer Vision

Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps

Understanding Deep Image Representations by Inverting Them

Fossil image identification using deep learning ensembles of data augmented multiviews


Source code for paper "Topic Modeling with Wasserstein Autoencoders".

Improving Neural Topic Models using Knowledge Distillation

TAN-NTM: Topic Attention Networks for Neural Topic Modeling

TA-BiLSTM: An Interpretable Topic-Aware Model for Misleading Information Detection in Mobile Social Networks

Towards Reinterpreting Neural Topic Models via Composite Activations

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


Knowledge-Enriched Distributional Model Inversion Attacks

Plug & Play Attacks: Towards Robust and Flexible Model Inversion Attacks

Re-thinking Model Inversion Attacks Against Deep Neural Networks

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

Label-Only Model Inversion Attacks via Knowledge Transfer


Documentation for every thing, everything documented

MR‐based age‐related effects on the striatum, globus pallidus, and thalamus in healthy individuals across the adult lifespan

Early or Late Gestational Exposure to Maternal Immune Activation Alters Neurodevelopmental Trajectories in Mice: An Integrated Neuroimaging, Behavioral, and Transcriptional Study

Investigating the "two-hit hypothesis": effects of prenatal maternal immune activation and adolescent cannabis use on neurodevelopment in mice

Brain Areas Critical for Picture Naming: A Systematic Review and Meta-Analysis of Lesion-Symptom Mapping Studies

Neurobiology of language (Cambridge, Mass.)

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

Morphologic alterations of the fear circuitry: the role of sex hormones and oral contraceptives

Variation in subcortical anatomy: relating interspecies differences, heritability, and brain-behavior relationships

Hippocampal subfield associations with memory depend on stimulus modality and retrieval mode


Massively Parallel and Asynchronous Architecture for Logic-based AI

The Tsetlin Machine - A Game Theoretic Bandit Driven Approach to Optimal Pattern Recognition with Propositional Logic

Using the Tsetlin Machine to Learn Human-Interpretable Rules for High-Accuracy Text Categorization with Medical Applications

The Convolutional Tsetlin Machine

The regression Tsetlin machine: a novel approach to interpretable nonlinear regression

Philosophical transactions. Series A, Mathematical, physical, and engineering sciences

Extending the Tsetlin Machine With Integer-Weighted Clauses for Increased Interpretability

Massively Parallel and Asynchronous Tsetlin Machine Architecture Supporting Almost Constant-Time Scaling

Explainable Tsetlin Machine Framework for Fake News Detection with Credibility Score Assessment

On the Convergence of Tsetlin Machines for the XOR Operator

Measuring the Novelty of Natural Language Text Using the Conjunctive Clauses of a Tsetlin Machine Text Classifier

Coalesced Multi-Output Tsetlin Machines with Clause Sharing


Code and data for "Learning Compact Geometric Features"

The Perfect Match: 3D Point Cloud Matching with Smoothed Densities

Learning Compact Geometric Features

Performance Evaluation of Learned 3D Features

Performance Evaluation of 3D Descriptors Paired with Learned Keypoint Detectors


Source Code of DNGR

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

A Survey on Network Embedding

Network Representation Learning: A Survey

Graph-based Semi-supervised Learning: A Comprehensive Review

Seven-Layer Model in Complex Networks Link Prediction: A Survey

Empirical Comparison of Graph Embeddings for Trust-Based Collaborative Filtering

A Systematic Review of Deep Graph Neural Networks: Challenges, Classification, Architectures, Applications & Potential Utility in Bioinformatics


Source code of the neural Hawkes particle smoothing (ICML 2019)

Imputing Missing Events in Continuous-Time Event Streams

HYPRO: A Hybridly Normalized Probabilistic Model for Long-Horizon Prediction of Event Sequences

Modeling Continuous Time Sequences with Intermittent Observations using Marked Temporal Point Processes

ACM Transactions on Intelligent Systems and Technology


A fast and lightweight python-based linear mixed-model solver for use in genome-wide association studies.

R/qtl2: Software for Mapping Quantitative Trait Loci with High-Dimensional Data and Multiparent Populations

An integrated -omics analysis of the epigenetic landscape of gene expression in human blood cells

Finding associated variants in genome-wide association studies on multiple traits

The genomic and epigenetic footprint of local adaptation to variable climates in kiwifruit


Collection of scripts for bacterial genomics

Molecular Keys to the Janthinobacterium and Duganella spp. Interaction with the Plant Pathogen Fusarium graminearum

Plant Growth-Promoting Activity of Pseudomonas aeruginosa FG106 and Its Ability to Act as a Biocontrol Agent against Potato, Tomato and Taro Pathogens

Ancestral Absence of Electron Transport Chains in Patescibacteria and DPANN

Genome-Centric Analysis of a Thermophilic and Cellulolytic Bacterial Consortium Derived from Composting

Genome-Based Identification of Active Prophage Regions by Next Generation Sequencing in Bacillus licheniformis DSM13

Propionibacterium avidum as an Etiological Agent of Prosthetic Hip Joint Infection

Genus-wide comparison of Pseudovibrio bacterial genomes reveal diverse adaptations to different marine invertebrate hosts

Genomic and Physiological Properties of a Facultative Methane-Oxidizing Bacterial Strain of Methylocystis sp. from a Wetland

Exploration of Survival Traits, Probiotic Determinants, Host Interactions, and Functional Evolution of Bifidobacterial Genomes Using Comparative Genomics

Life at Home and on the Roam: Genomic Adaptions Reflect the Dual Lifestyle of an Intracellular, Facultative Symbiont


An extension layer that makes it easier to build complex networks in Mininet

Advancing Software-Defined Networks: A Survey

Hybrid SDN evolution: A comprehensive survey of the state-of-the-art

Intelligent Management and Efficient Operation of Big Data


Code for paper Causal Confusion in Imitation Learning

Causal Confusion in Imitation Learning

A Survey on Causal Reinforcement Learning

Object-Aware Regularization for Addressing Causal Confusion in Imitation Learning

Contextual Reliability: When Different Features Matter in Different Contexts


Optimization with JDTLoss and Evaluation with Fine-grained mIoUs for Semantic Segmentation

Dice Semimetric Losses: Optimizing the Dice Score with Soft Labels

Jaccard Metric Losses: Optimizing the Jaccard Index with Soft Labels

Revisiting Evaluation Metrics for Semantic Segmentation: Optimization and Evaluation of Fine-grained Intersection over Union


Learning Multiple Dense Prediction Tasks from Partially Annotated Data - CVPR 2022

Multi-task Learning with 3D-Aware Regularization


Minimal implementation of PAWS (https://arxiv.org/abs/2104.13963) in TensorFlow.

Unsupervised Learning of Visual Features by Contrasting Cluster Assignments

Big Self-Supervised Models are Strong Semi-Supervised Learners

Meta Pseudo Labels

Semi-Supervised Learning of Visual Features by Non-Parametrically Predicting View Assignments with Support Samples


The official implementation of  'Weakly Supervised Temporal Action Localization via Representative Snippet Knowledge Propagation' (CVPR 2022)

Cross-modal Consensus Network for Weakly Supervised Temporal Action Localization

Adversarial Seeded Sequence Growing for Weakly-Supervised Temporal Action Localization

Action Completeness Modeling with Background Aware Networks for Weakly-Supervised Temporal Action Localization

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


How Powerful are Graph Neural Networks?

Graph Contrastive Learning with Augmentations

InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization

Imbalanced Graph Classification via Graph-of-Graph Neural Networks


Python modules and jupyter notebook examples for the paper Arbitrage-free Neural-SDE Market Models.

Arbitrage-free neural-SDE market models

Detecting and repairing arbitrage in traded option prices

Estimating risks of option books using neural-SDE market models

Hedging Option Books Using Neural-SDE Market Models


Self‐supervised learning of physics‐guided reconstruction neural networks without fully sampled reference data

Self-Supervised Physics-Based Deep Learning MRI Reconstruction Without Fully-Sampled Data

International Symposium on Biomedical Imaging

DSFormer: A Dual-domain Self-supervised Transformer for Accelerated Multi-contrast MRI Reconstruction

Multi‐mask self‐supervised learning for physics‐guided neural networks in highly accelerated magnetic resonance imaging

A Theoretical Framework for Self-Supervised MR Image Reconstruction Using Sub-Sampling via Variable Density Noisier2Noise

Deformation-Compensated Learning for Image Reconstruction Without Ground Truth

Self-Supervised Deep Equilibrium Models for Inverse Problems with Theoretical Guarantees


Code for paper "Can contrastive learning avoid shortcut solutions?" NeurIPS 2021.

Momentum Contrast for Unsupervised Visual Representation Learning

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


Slimmable Compressive Autoencoders for Practical Neural Image Compression

End-to-end Optimized Image Compression

Variational image compression with a scale hyperprior

Lossy Image Compression with Compressive Autoencoders


A Survey on Homomorphic Encryption Schemes: Theory and Implementation

Logistic regression model training based on the approximate homomorphic encryption

Privacy-Preserved Approximate Classification Based on Homomorphic Encryption

Mathematical and Computational Applications

Revisiting Fully Homomorphic Encryption Schemes


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

Automatically Auditing Large Language Models via Discrete Optimization

Trojan Detection in Large Language Models: Insights from The Trojan
  Detection Challenge

Unaligning Everything: Or Aligning Any Text to Any Image in Multimodal
  Models


AnomalyDAE (ICASSP2020)

A Comprehensive Survey on Graph Anomaly Detection with Deep Learning

AnomalyDAE: Dual autoencoder for anomaly detection on attributed networks

DAGAD: Data Augmentation for Graph Anomaly Detection

Generative Semi-supervised Graph Anomaly Detection


Code for "Counterfactual Fairness" (NIPS2017)

Counterfactual Fairness

I Prefer not to Say: Protecting User Consent in Models with Optional Personal Data

Counterfactual Fairness for Predictions using Generative Adversarial Networks


PyTorch code for EMNLP 2020 paper "X-LXMERT: Paint, Caption and Answer Questions with Multi-Modal Transformers"

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

Unifying Multimodal Transformer for Bi-directional Image and Text Generation

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


Code for ACL 2020 paper: USR: An Unsupervised and Reference Free Evaluation Metric for Dialog Generation (https://arxiv.org/pdf/2005.00456)

Assessing Dialogue Systems with Distribution Distances

NLG Evaluation Metrics Beyond Correlation Analysis: An Empirical Metric Preference Checklist

Is Reference Necessary in the Evaluation of NLG Systems? When and Where?


The Marginal Value of Adaptive Gradient Methods in Machine Learning

Span-Based Constituency Parsing with a Structure-Label System and Provably Optimal Dynamic Oracles

Disentangling Adaptive Gradient Methods from Learning Rates

Multi-Grained Chinese Word Segmentation

Empirical Methods in Natural Language Processing

A Streaming Approach For Efficient Batched Beam Search

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


Code release for DeepJudge (S&P'22)

Copy, Right? A Testing Framework for Copyright Protection of Deep Learning Models

Deep Intellectual Property Protection: A Survey


An implementation FGNN.

A Survey on Session-based Recommender Systems

Global Context Enhanced Graph Neural Networks for Session-based Recommendation

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

Rethinking the Item Order in Session-based Recommendation with Graph Neural Networks

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

Graph Learning based Recommender Systems: A Review

Exploiting Graph Structured Cross-Domain Representation for Multi-Domain Recommendation


implicit or explicit water model based docking with Autodock vina engine. supporting pharmacophore /position constrained docking

Isolation, Purification, and Characterization of a Laccase-Degrading Aflatoxin B1 from Bacillus amyloliquefaciens B10

Virtual screening and activity evaluation of human uric acid transporter 1 (hURAT1) inhibitors

Inhibitory activities of alginate phosphate and sulfate derivatives against SARS-CoV-2 in vitro

International journal of biological macromolecules

Identification and Validation of Magnolol Biosynthesis Genes in Magnolia officinalis

High-throughput screening unveils nitazoxanide as a potent PRRSV inhibitor by targeting NMRAL1


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


Wiktionary parser tool for many language editions.

Building basic vocabulary across 40 languages

Meeting of the Association for Computational Linguistics

Pivot-based multilingual dictionary building using Wiktionary

Weakly Supervised POS Taggers Perform Poorly on Truly Low-Resource Languages

Cross-lingual alignments of ELMo contextual embeddings

Automatic creation of bilingual dictionaries for Finno-Ugric languages

Filtering Wiktionary Triangles by Linear Mbetween Distributed Word Models


The Official PyTorch Implementation of "VAEBM: A Symbiosis between Variational Autoencoders and Energy-based Models" (ICLR 2021 spotlight paper)

NVAE: A Deep Hierarchical Variational Autoencoder

Learning Joint Latent Space EBM Prior Model for Multi-layer Generator


HyperSpectral Salient Object Detection Dataset

Hyperspectral Image Dataset for Benchmarking on Salient Object Detection

Salient object detection on hyperspectral images using features learned from unsupervised segmentation task

Salient target detection in hyperspectral image based on visual attention

CNN-based Salient Object Detection on Hyperspectral Images using Extended Morphology

IEEE Geoscience and Remote Sensing Letters

Tensor-Based Sketching Method for the Low-Rank Approximation of Data Streams

Leveraging colour-based pseudo-labels to supervise saliency detection in hyperspectral image datasets

Journal of Intelligent Information Systems


[CVPR2019] NDDR-CNN: Layerwise Feature Fusing in Multi-Task CNNs by Neural Discriminative Dimensionality Reduction

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

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


This is a platform containing the datasets and federated learning algorithms in IoT environments.

Communication-Efficient Learning of Deep Networks from Decentralized Data

Federated Learning with Personalization Layers

Adaptive Personalized Federated Learning

Federated Evaluation of On-device Personalization

FedHome: Cloud-Edge Based Personalized Federated Learning for In-Home Health Monitoring

PFLlib: Personalized Federated Learning Algorithm Library


Pre-trained Language Models in Biomedical Domain: A Systematic Survey

Clinical-Longformer and Clinical-BigBird: Transformers for long clinical sequences

A Comparative Study of Pretrained Language Models for Long Clinical Text

Journal of the American Medical Informatics Association : JAMIA

XAIQA: Explainer-Based Data Augmentation for Extractive Question Answering


Code repo for "Kernel Interpolation for Scalable Online Gaussian Processes"

Kernel Interpolation for Scalable Structured Gaussian Processes (KISS-GP)

Streaming Sparse Gaussian Process Approximations

Conditioning Sparse Variational Gaussian Processes for Online Decision-making

Adaptive Sparse Gaussian Process


Codebase for Attentive Neural Hawkes Process (A-NHP) and Attentive Neural Datalog Through Time (A-NDTT)

Transformer Hawkes Process

Self-Attentive Hawkes Processes

Transformer Embeddings of Irregularly Spaced Events and Their Participants

HYPRO: A Hybridly Normalized Probabilistic Model for Long-Horizon Prediction of Event Sequences

EasyTPP: Towards Open Benchmarking Temporal Point Processes

Prompt-augmented Temporal Point Process for Streaming Event Sequence


[SIGGRAPH Asia 2023] AdaptNet: Policy Adaptation for Physics-Based Character Control

A GAN-Like Approach for Physics-Based Imitation Learning and Interactive Control

Proceedings of the ACM on Computer Graphics and Interactive Techniques

Composite Motion Learning with Task Control


Official Implementation of the ECCV 22 paper, "Teaching Where to Look: Attention Similarity Knowledge Distillation for Low Resolution Face Recognition".

Learning Face Representation from Scratch

Enhancing Low-resolution Face Recognition with Feature Similarity Knowledge Distillation


IG-RL: Inductive Graph Reinforcement Learning for Massive-Scale Traffic Signal Control

IEEE Transactions on Intelligent Transportation Systems

Reinforcement learning on graphs: A survey

Model-Based Graph Reinforcement Learning for Inductive Traffic Signal Control


Pretrained bag-of-local-features neural networks

Approximating CNNs with Bag-of-local-Features models works surprisingly well on ImageNet

Image2Point: 3D Point-Cloud Understanding with 2D Image Pretrained Models

PatchGuard: Provable Defense against Adversarial Patches Using Masks on Small Receptive Fields.


Self-Attentive Hawkes Process

Modeling Continuous Time Sequences with Intermittent Observations using Marked Temporal Point Processes

Continuous-time convolutions model of event sequences

Retrieving Continuous Time Event Sequences using Neural Temporal Point Processes with Learnable Hashing


UNION: An Unreferenced Metric for Evaluating Open-ended Story Generation

COMPASS: a Creative Support System that Alerts Novelists to the Unnoticed Missing Contents

Event Causality Is Key to Computational Story Understanding


The implementation of various lightweight networks by using PyTorch. such as：MobileNetV2，MobileNeXt，GhostNet，ParNet，MobileViT、AdderNet，ShuffleNetV1-V2，LCNet，ConvNeXt，etc. ⭐⭐⭐⭐⭐

A ConvNet for the 2020s

MobileViT: Light-weight, General-purpose, and Mobile-friendly Vision Transformer

PP-LCNet: A Lightweight CPU Convolutional Neural Network

HS-ResNet: Hierarchical-Split Block on Convolutional Neural Network


Official Code for 'C3-STISR: Scene Text Image Super-resolution with Triple Clues' - IJCAI 2022

Text Prior Guided Scene Text Image Super-Resolution

A Text Attention Network for Spatial Deformation Robust Scene Text Image Super-resolution

Text Gestalt: Stroke-Aware Scene Text Image Super-Resolution


Improved Techniques for Training GANs

Generative Adversarial Text to Image Synthesis

Learning Deep Representations of Fine-grained Visual Descriptions

Cross Modal Compression: Towards Human-comprehensible Semantic Compression

Image Manipulation with Natural Language using Two-sidedAttentive Conditional Generative Adversarial Network


ReCoSa: Detecting the Relevant Contexts with Self-Attention for Multi-turn Dialogue Generation

Learning a Simple and Effective Model for Multi-turn Response Generation with Auxiliary Tasks

Open Domain Dialogue Generation with Latent Images

Emotional conversation generation with heterogeneous graph neural network

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

Which Kind Is Better in Open-domain Multi-turn Dialog,Hierarchical or Non-hierarchical Models? An Empirical Study

Anna: A Dapper Open-Domain Dialogue Agent Based on a Joint Attention Network


Defending graph neural networks against adversarial attacks (NeurIPS 2020)

GNNGuard: Defending Graph Neural Networks against Adversarial Attacks

Are Defenses for Graph Neural Networks Robust?

EvenNet: Ignoring Odd-Hop Neighbors Improves Robustness of Graph Neural Networks

How does Heterophily Impact the Robustness of Graph Neural Networks?

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

Robust Graph Representation Learning for Local Corruption Recovery

A Simple and Yet Fairly Effective Defense for Graph Neural Networks


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

Understanding the Generalization Benefit of Normalization Layers: Sharpness Reduction


SCAFFOLD and FedAvg implementation

SCAFFOLD: Stochastic Controlled Averaging for Federated Learning

Over-the-Air Federated Learning From Heterogeneous Data

On Analog Gradient Descent Learning Over Multiple Access Fading Channels


NeurIPS 2019 Paper: RUBi : Reducing Unimodal Biases for Visual Question Answering

RUBi: Reducing Unimodal Biases in Visual Question Answering

Introspective Distillation for Robust Question Answering

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

Accuracy vs. Complexity: A Trade-off in Visual Question Answering Models


Training codebase for our solution to Kaggle's Deepfake Detection Challenge

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


Official PyTorch implementation of LongVideoGAN

Align your Latents: High-Resolution Video Synthesis with Latent Diffusion Models

Towards Accurate Generative Models of Video: A New Metric & Challenges

Generating Long Videos of Dynamic Scenes

ConsistI2V: Enhancing Visual Consistency for Image-to-Video Generation


Koopman operator identification library in Python, compatible with `scikit-learn`

Modern Koopman Theory for Dynamical Systems

The Multiverse of Dynamic Mode Decomposition Algorithms

System Norm Regularization Methods for Koopman Operator Approximation

Linear Matrix Inequality Approaches to Koopman Operator Approximation

Data-Driven Batch Localization and SLAM Using Koopman Linearization

Closed-loop Koopman operator approximation

Forward-Backward Extended DMD with an Asymptotic Stability Constraint


The WebSplit Benchmark introducing "Split and Rephrase" task

Split and Rephrase

Unsupervised Neural Text Simplification

Learning To Split and Rephrase From Wikipedia Edit History

Discourse-Aware Text Simplification: From Complex Sentences to Linked Propositions


Fuzzy Bag-of-Words Model for Document Representation

Sentiment Analysis of Turkish Political News

Public Sentiment Analysis in Twitter Data for Prediction of a Company's Stock Price Movements

International Conference on e-Business Engineering

Sentiment analysis of big data applications using Twitter Data with the help of HADOOP framework

Collective Sentiment Mining of Microblogs in 24-Hour Stock Price Movement Prediction

N-gram based algorithm for distinguishing between Hindi and Sanskrit texts

International Conference on Computing Communication and Networking Technologies

Announcement Based Stock Prediction

International Symposium on Computer, Consumer and Control

Qualitative Stock Market Predicting with Common Knowledge Based Nature Language Processing: A Unified View and Procedure

International Conference on Intelligent Human-Machine Systems and Cybernetics

A Bag of Words Approach for Semantic Segmentation of Monitored Scenes


Repository for the code of the "PPL-MCTS: Constrained Textual Generation Through Discriminator-Guided Decoding" paper, NAACL'22

CTRL: A Conditional Transformer Language Model for Controllable Generation

PPL-MCTS: Constrained Textual Generation Through Discriminator-Guided MCTS Decoding

Which Discriminator for Cooperative Text Generation?

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

Décodage guidé par un discriminateur avec le Monte Carlo Tree Search pour la génération de texte contrainte (Discriminator-guided decoding with Monte Carlo Tree Search for constrained text generation )


code for LMDA

Priming Cross-Session Motor Imagery Classification with A Universal Deep Domain Adaptation Framework

LMDA-Net:A lightweight multi-dimensional attention network for general EEG-based brain-computer interface paradigms and interpretability

Weight Freezing: A Regularization Approach for Fully Connected Layers with an Application in EEG Classification

Time-space-frequency feature Fusion for 3-channel motor imagery classification


This repo includes some graph-based CTR prediction models and other representative baselines.

AutoInt: Automatic Feature Interaction Learning via Self-Attentive Neural Networks

Fi-GNN: Modeling Feature Interactions via Graph Neural Networks for CTR Prediction

GraphFM: Graph Factorization Machines for Feature Interaction Modeling


LBFGS-Lite: A header-only L-BFGS unconstrained optimizer.

Bubble Planner: Planning High-speed Smooth Quadrotor Trajectories using Receding Corridors

Distributed Swarm Trajectory Optimization for Formation Flight in Dense Environments

An Efficient Trajectory Planner for Car-like Robots on Uneven Terrain

A Linear and Exact Algorithm for Whole-Body Collision Evaluation via Scale Optimization

Towards Efficient Trajectory Generation for Ground Robots beyond 2D Environment

Robo-centric ESDF: A Fast and Accurate Whole-body Collision Evaluation Tool for Any-shape Robotic Planning

Catch Planner: Catching High-Speed Targets in the Flight

Polynomial-based Online Planning for Autonomous Drone Racing in Dynamic Environments

Continuous Implicit SDF Based Any-shape Robot Trajectory Optimization

Model-Based Planning and Control for Terrestrial-Aerial Bimodal Vehicles with Passive Wheels


Repository accompanying "An Open Dataset and Model for Language Identification" (Burchell et al., 2023)

Survey on Publicly Available Sinhala Natural Language Processing Tools and Research

The Responsible Foundation Model Development Cheatsheet: A Review of Tools & Resources


This code accompanies the paper "Parameter-free Online Test-time Adaptation".

NOTE: Robust Continual Test-time Adaptation Against Temporal Correlation

Robust Test-Time Adaptation in Dynamic Scenarios

DELTA: degradation-free fully test-time adaptation

Feature Alignment and Uniformity for Test Time Adaptation

SoTTA: Robust Test-Time Adaptation on Noisy Data Streams

Test-Time Model Adaptation with Only Forward Passes

Generalized Robust Test-Time Adaptation in Continuous Dynamic Scenarios


Advanced Retrieval Algorithms for Decomposing Large-Scale Candidate Set into Pieces.

Learning Tree-based Deep Model for Recommender Systems

Joint Optimization of Tree-based Index and Deep Model for Recommender Systems

Learning Optimal Tree Models Under Beam Search

Deep Retrieval: Learning A Retrievable Structure for Large-Scale Recommendations

Deep Retrieval: An End-to-End Learnable Structure Model for Large-Scale Recommendations


Handling Information Loss of Graph Neural Networks for Session-based Recommendation

A Survey on Session-based Recommender Systems

Efficiently Leveraging Multi-level User Intent for Session-based Recommendation via Atten-Mixer Network

Evolutionary Preference Learning via Graph Nested GRU ODE for Session-based Recommendation

Proceedings of the 31st ACM International Conference on Information & Knowledge Management

Prospective Preference Enhanced Mixed Attentive Model for Session-based Recommendation


Official implementation of GCAN model(ACL2020)

A Comprehensive Survey on Graph Anomaly Detection with Deep Learning

GCAN: Graph-aware Co-Attention Networks for Explainable Fake News Detection on Social Media

STANKER: Stacking Network based on Level-grained Attention-masked BERT for Rumor Detection on Social Media

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

DUCK: Rumour Detection on Social Media by Modelling User and Comment Propagation Networks

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies


Source code of paper "Differentially Private Generative Adversarial Network"

Differentially private synthetic medical data generation using convolutional GANs

DataLens: Scalable Privacy Preserving Training via Gradient Compression and Aggregation

Conference on Computer and Communications Security

Differentially Private Generation of Small Images

A Unified View of Differentially Private Deep Generative Modeling


An unofficial Pytorch implementation of "Improved Baselines with Momentum Contrastive Learning" (MoCoV2) - X. Chen, et al.

A Simple Framework for Contrastive Learning of Visual Representations

Momentum Contrast for Unsupervised Visual Representation Learning


A MATLAB toolbox for performing information theory analyses of neuroscience data

A Tutorial for Information Theory in Neuroscience

Brain-wide interactions during hippocampal sharp wave ripples

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

Functional Connectome of the Human Brain with Total Correlation

Cortical Representation of Movement Across the Developmental Transition to Continuous Neural Activity

bioRxiv : the preprint server for biology


Reimplementation of a BERT based model (Shi et al, 2019), currently the state-of-the-art for English SRL. This model implements also predicate disambiguation.

Simple BERT Models for Relation Extraction and Semantic Role Labeling

Guiding Neural Story Generation with Reader Models

Who does what to whom? graph representations of action-predication in speech relate to psychopathological dimensions of psychosis

Story Shaping: Teaching Agents Human-like Behavior with Stories

Discovering collective narratives shifts in online discussions


Code for the paper "Distribution Aligning Refinery of Pseudo-label for Imbalanced Semi-supervised Learning" (NeurIPS 20)

Distribution-Aware Semantics-Oriented Pseudo-label for Imbalanced Semi-Supervised Learning.

Imbalanced Semi-supervised Learning with Bias Adaptive Classifier


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


Video/Image Labeling and Annotation Tool

SeaDronesSee: A Maritime Benchmark for Detecting Humans in Open Water

A Fast and Accurate Real-Time Vehicle Detection Method Using Deep Learning for Unconstrained Environments

1st Workshop on Maritime Computer Vision (MaCVi) 2023: Challenge Results

Literature Review on Ship Localization, Classification, and Detection Methods Based on Optical Sensors and Neural Networks

LettuceMOT: A dataset of lettuce detection and tracking with re-identification of re-occurred plants for agricultural robots

Memory Maps for Video Object Detection and Tracking on UAVs

Gaze-based Object Detection in the Wild

Multiperspective Teaching of Unknown Objects via Shared-gaze-based Multimodal Human-Robot Interaction

SH17: A Dataset for Human Safety and Personal Protective Equipment
  Detection in Manufacturing Industry

CathAction: A Benchmark for Endovascular Intervention Understanding


OCR-VQGAN, a discrete image encoder (tokenizer and detokenizer) for figure images in Paper2Fig100k dataset. Implementation of OCR Perceptual loss for clear text-within-image generation. Fork from VQGAN in CompVis/taming-transformers

High-Resolution Image Synthesis with Latent Diffusion Models

Taming Transformers for High-Resolution Image Synthesis

Character Region Awareness for Text Detection

OCR-VQGAN: Taming Text-within-Image Generation

FigGen: Text to Scientific Figure Generation


Efficient discovery of overlapping communities in massive networks PK Gopalan, DM Blei Proceedings of the National Academy of Sciences 110 (36), 14534-14539

Community detection algorithm evaluation with ground-truth data

Detecting Community Structures in Hi-C Genomic Data

The Atlas for the Aspiring Network Scientist

Evaluating the reliability, validity, and utility of overlapping networks: Implications for network theories of cognition

Overlapping Community Detection in Temporal Text Networks


Online Multi-Granularity Distillation for GAN Compression (ICCV2021)

Information-Theoretic GAN Compression with Variational Energy-based Model


Style Normalization and Restitution for Domain Generalization and Adaptation

Style Normalization and Restitution for Generalizable Person Re-identification

SGDA: Towards 3D Universal Pulmonary Nodule Detection via Slice Grouped Domain Attention


A knowledge base completion method which handles temporal metadata

Tensor Decompositions for temporal knowledge base completion

TimeTraveler: Reinforcement Learning for Temporal Knowledge Graph Forecasting

Temporal Knowledge Graph Forecasting with Neural ODE

Time-aware Graph Neural Network for Entity Alignment between Temporal Knowledge Graphs

xERTE: Explainable Reasoning on Temporal Knowledge Graphs for Forecasting Future Links

TeAST: Temporal Knowledge Graph Embedding via Archimedean Spiral Timeline

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

Few-Shot Inductive Learning on Temporal Knowledge Graphs using Concept-Aware Information

ForecastTKGQuestions: A Benchmark for Temporal Question Answering and Forecasting over Temporal Knowledge Graphs

A Simple But Powerful Graph Encoder for Temporal Knowledge Graph Completion

Meta-Learning Based Knowledge Extrapolation for Temporal Knowledge Graph


Train bilingual embeddings as described in our NAACL 2015 workshop paper "Bilingual Word Representations with Monolingual Quality in Mind". Besides, it has all the functionalities of word2vec with added features and code clarity. See README for more info.

GLUECoS : An Evaluation Benchmark for Code-Switched NLP

Analyzing the Limitations of Cross-lingual Word Embedding Mappings

Word Embeddings for Code-Mixed Language Processing

Empirical Methods in Natural Language Processing

Modeling Code-Switch Languages Using Bilingual Parallel Corpus

Meeting of the Association for Computational Linguistics

Fully Unsupervised Crosslingual Semantic Textual Similarity Metric Based on BERT for Identifying Parallel Data

Conference on Computational Natural Language Learning

Variable Mini-Batch Sizing and Pre-Trained Embeddings

Proceedings of the Second Conference on Machine Translation

Unsupervised Joint Training of Bilingual Word Embeddings

Learning Contextualised Cross-lingual Word Embeddings and Alignments for Extremely Low-Resource Languages Using Parallel Corpora

Data Augmentation with Unsupervised Machine Translation Improves the Structural Similarity of Cross-lingual Word Embeddings

Learning to translate from graded and negative relevance information

International Conference on Computational Linguistics


Devign: Effective Vulnerability Identification by Learning Comprehensive Program Semantics via Graph Neural Networks

Deep Learning based Vulnerability Detection: Are We There Yet?

An Empirical Study of Deep Learning Models for Vulnerability Detection

Dataflow Analysis-Inspired Deep Learning for Efficient Vulnerability Detection


Video classification tools using 3D ResNet

Can Spatiotemporal 3D CNNs Retrace the History of 2D CNNs and ImageNet?

Hierarchical Object-oriented Spatio-Temporal Reasoning for Video Question Answering


PyTorch implementation of image classification models for CIFAR-10/CIFAR-100/MNIST/FashionMNIST/Kuzushiji-MNIST/ImageNet

Do ImageNet Classifiers Generalize to ImageNet?

Human uncertainty makes classification more robust

A Survey of Deep Learning for Scientific Discovery

LayoutDiffusion: Controllable Diffusion Model for Layout-to-image Generation

Efficient Black-Box Adversarial Attack Guided by the Distribution of Adversarial Perturbations.

A Principled Evaluation Protocol for Comparative Investigation of the Effectiveness of DNN Classification Models on Similar-but-non-identical Datasets


Multi-task reinforcement learning benchmark.

Denoised MDPs: Learning World Models Better Than the World Itself

CORA: Benchmarks, Baselines, and Metrics as a Platform for Continual Reinforcement Learning Agents

Continuous Control with Action Quantization from Demonstrations

Curious Exploration via Structured World Models Yields Zero-Shot Object Manipulation

Guided Imitation of Task and Motion Planning

Learning World Models with Identifiable Factorization

A Control-Centric Benchmark for Video Prediction

Investigating the role of model-based learning in exploration and transfer

DreamSmooth: Improving Model-based Reinforcement Learning via Reward Smoothing

iVideoGPT: Interactive VideoGPTs are Scalable World Models


A Harder ImageNet Test Set (CVPR 2021)

Natural Adversarial Examples

Masked Siamese Networks for Label-Efficient Learning

On Feature Normalization and Data Augmentation

On the Strong Correlation Between Model Invariance and Generalization

MM-SpuBench: Towards Better Understanding of Spurious Biases in
  Multimodal LLMs

Multi-scale Diffusion Denoised Smoothing

Spatial Entropy as an Inductive Bias for Vision Transformers

Adaptive Calibrator Ensemble for Model Calibration under Distribution Shift

Automated Classification of Model Errors on ImageNet


Implementation of ECO-DQN as reported in "Exploratory Combinatorial Optimization with Reinforcement Learning".

Neural Message Passing for Quantum Chemistry

Learning Combinatorial Optimization Algorithms over Graphs

One Model, Any CSP: Graph Neural Networks as Fast Global Search Heuristics for Constraint Satisfaction

Learning to Solve Combinatorial Graph Partitioning Problems via Efficient Exploration


Implementation and demonstration of the paper: Multi-task Learning for Detecting and Segmenting Manipulated Facial Images and Videos

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

Multi-task Learning For Detecting and Segmenting Manipulated Facial Images and Videos

Lips Don't Lie: A Generalisable and Robust Approach to Face Forgery Detection

DeepFake-o-meter: An Open Platform for DeepFake Detection

How Generalizable are Deepfake Image Detectors? An Empirical Study


Tuning hyperparams fast with Hyperband

Hyperband: A Novel Bandit-Based Approach to Hyperparameter Optimization

AutoML to Date and Beyond: Challenges and Opportunities

Talking-Heads Attention

Auptimizer - an Extensible, Open-Source Framework for Hyperparameter Tuning

Supervised Machine Learning Techniques: An Overview with Applications to Banking

Adaptive Artificial Neural Network Surrogate Model of Nonlinear Hydraulic Adjustable Damper for Automotive Semi-Active Suspension System

DEEP-BO for Hyperparameter Optimization of Deep Networks


明医 (MING)：中文医疗问诊大模型

HuatuoGPT, towards Taming Language Model to Be a Doctor

IvyGPT: InteractiVe Chinese pathwaY language model in medical domain

Automatic Interactive Evaluation for Large Language Models with State Aware Patient Simulator

Don't Ignore Dual Logic Ability of LLMs while Privatizing: A Data-Intensive Analysis in Medical Domain

MING-MOE: Enhancing Medical Multi-Task Learning in Large Language Models
  with Sparse Mixture of Low-Rank Adapter Experts

Tool Calling: Enhancing Medication Consultation via Retrieval-Augmented
  Large Language Models

Towards Training A Chinese Large Language Model for Anesthesiology


In this work, we present a 5G trace dataset collected from a major Irish mobile operator. The dataset is generated from two mobility patterns (static and car), and across two application patterns(video streaming and file download). The dataset is composed of client-side cellular key performance indicators (KPIs) comprised of channel-related metrics, context-related metrics, cell-related metrics and throughput information. These metrics are generated from a well-known non-rooted Android network monitoring application, G-NetTrack Pro. To the best of our knowledge, this is the first publicly available dataset that contains throughput, channel and context information for 5G networks. To supplement our real-time 5G production network dataset, we also provide a 5G large scale multi-cell ns-3 simulation framework. The availability of the 5G/mmwave module for the ns-3 mmwave network simulator provides an opportunity to improve our understanding of the dynamic reasoning for adaptive clients in 5G multi-cell wireless scenarios. The purpose of our framework is to provide additional information (such as competing metrics for users connected to the same cell), thus providing otherwise unavailable information about the basestation (eNodeB or eNB) environment and scheduling principle, to end user. Our framework permits other researchers to investigate this interaction through the generation of their own synthetic datasets.

Design and Implementation of Traffic Generation Model and Spectrum Requirement Calculator for Private 5G Network

Split Federated Learning for 6G Enabled-Networks: Requirements, Challenges and Future Directions

Modeling and Analysis of mMTC Traffic in 5G Base Stations


This repository contains the code for "Self-Diagnosis and Self-Debiasing: A Proposal for Reducing Corpus-Based Bias in NLP".

ROBBIE: Robust Bias Evaluation of Large Generative Language Models

Using In-Context Learning to Improve Dialogue Safety

Unified Detoxifying and Debiasing in Language Generation via Inference-time Adaptive Optimization


Creative Commons Attribution Share Alike 4.0 International

A simple library for querying the URIEL typological database.

Learning Language Representations for Typology Prediction

Multi-SimLex: A Large-Scale Evaluation of Multilingual and Cross-Lingual Lexical Semantic Similarity

IGLUE: A Benchmark for Transfer Learning across Modalities, Tasks, and Languages

Eliciting the Translation Ability of Large Language Models via Multilingual Finetuning with Translation Instructions

How to Translate Your Samples and Choose Your Shots? Analyzing Translate-train & Few-shot Cross-lingual Transfer

Workshop on Deep Learning Approaches for Low-Resource Natural Language Processing

Probing Multilingual BERT for Genetic and Typological Signals

Adapting multilingual speech representation model for a new, underresourced language through multilingual fine-tuning and continued pretraining

Mini-Model Adaptation: Efficiently Extending Pretrained Models to New Languages via Aligned Shallow Training

Language and Task Arithmetic with Parameter-Efficient Layers for Zero-Shot Summarization

Model Selection for Cross-Lingual Transfer


Official Implementation of Neural Splines

FALKON: An Optimal Large Scale Kernel Method

POCO: Point Convolution for Surface Reconstruction

On the Similarity between the Laplace and Neural Tangent Kernels

Neural Splines: Fitting 3D Surfaces with Infinitely-Wide Neural Networks


Histopathology Image Analysis

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

Swarm learning for decentralized artificial intelligence in cancer histopathology

Benchmarking weakly-supervised deep learning pipelines for whole slide classification in computational pathology

Artificial intelligence for detection of microsatellite instability in colorectal cancer—a multicentric analysis of a pre-screening tool for clinical application

Weakly supervised annotation‐free cancer detection and prediction of genotype in routine histopathology

Encrypted federated learning for secure decentralized collaboration in cancer image analysis

Predicting Mutational Status of Driver and Suppressor Genes Directly from Histopathology With Deep Learning: A Systematic Study Across 23 Solid Tumor Types

Benchmarking artificial intelligence methods for end-to-end computational pathology


Grouping of Lymphocyte Interactions by Paratope Hotspots

T cell receptor sequence clustering and antigen specificity

Computational and structural biotechnology journal

Identification of Specificity Groups in Myeloma Patients T Cell Receptor (TCR) Repertoire through Single Cell TCR Sequencing

Rapid T cell receptor interaction grouping with ting


Graph Convolutional Policy Network for Goal-Directed Molecular Graph Generation

To Embed or Not: Network Embedding as a Paradigm in Computational Biology

Barking up the right tree: an approach to search over molecule synthesis DAGs

Graph Polish: A Novel Graph Generation Paradigm for Molecular Optimization

An Unpooling Layer for Graph Generation


PANDA: Adapting Pretrained Features for Anomaly Detection and Segmentation (CVPR 2021)

Mean-Shifted Contrastive Loss for Anomaly Detection

Attribute-based Representations for Accurate and Interpretable Video Anomaly Detection

SLA^2P: Self-supervised Anomaly Detection with Adversarial Perturbation


CoVoST: A Large-Scale Multilingual Speech-To-Text Translation Corpus (CC0 Licensed)

Common Voice: A Massively-Multilingual Speech Corpus

XLS-R: Self-supervised Cross-lingual Speech Representation Learning at Scale

Multilingual Speech Translation from Efficient Finetuning of Pretrained Models

CoVoST 2 and Massively Multilingual Speech-to-Text Translation

CoVoST: A Diverse Multilingual Speech-To-Text Translation Corpus

Large-Scale Self- and Semi-Supervised Learning for Speech Translation

Sample, Translate, Recombine: Leveraging Audio Alignments for Data Augmentation in End-to-end Speech Translation

GenTranslate: Large Language Models are Generative Multilingual Speech and Machine Translators

The Xiaomi AI Lab’s Speech Translation Systems for IWSLT 2023 Offline Task, Simultaneous Task and Speech-to-Speech Task

Proceedings of the 20th International Conference on Spoken Language Translation (IWSLT 2023)

Towards a Deep Understanding of Multilingual End-to-End Speech Translation