Prediction Error Meta Classification in Semantic Segmentation: Detection via Aggregated Dispersion Measures of Softmax Probabilities

Uncertainty Measures and Prediction Quality Rating for the Semantic Segmentation of Nested Multi Resolution Street Scene Images

Detection of False Positive and False Negative Samples in Semantic Segmentation


Natural Gradient, Variational Inference

Optimizing Neural Networks with Kronecker-factored Approximate Curvature

Noisy Natural Gradient as Variational Inference

Eigenvalue Corrected Noisy Natural Gradient

Predictive Uncertainty Quantification with Compound Density Networks

Walsh-Hadamard Variational Inference for Bayesian Deep Learning


Statistical Recurrent Unit based time series generative models for detecting nonlinear Granger causality

Economy Statistical Recurrent Units For Inferring Nonlinear Granger Causality

Interpretable Models for Granger Causality Using Self-explaining Neural Networks

Rhino: Deep Causal Temporal Relationship Learning With History-dependent Noise

Learning interaction rules from multi-animal trajectories via augmented behavioral models


Error Correction Code Transformer

Error Correction Code Transformer

How to Mask in Error Correction Code Transformer: Systematic and Double Masking


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


The official implementation of the Graph Barlow Twins method with the experimental pipeline

Graph Self-Supervised Learning: A Survey

Large-Scale Representation Learning on Graphs via Bootstrapping

Graph Barlow Twins: A self-supervised representation learning framework for graphs

ImGCL: Revisiting Graph Contrastive Learning on Imbalanced Node Classification

Unsupervised Network Embedding Beyond Homophily


Official source code repository for the ICML 2021 paper "Hierarchical VAEs Know What They Don't Know"

Model-agnostic out-of-distribution detection using combined statistical tests

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


Code accompanying EGO-TOPO: Environment Affordances from Egocentric Video (CVPR 2020)

Rethinking Learning Approaches for Long-Term Action Anticipation

UnweaveNet: Unweaving Activity Stories


Skeleton-based action segmentation with multi-stage spatial-temporal graph convolutional neural networks (MS-GCN)

Skeleton-Based Action Segmentation With Multi-Stage Spatial-Temporal Graph Convolutional Neural Networks

Automated freezing of gait assessment with marker-based motion capture and multi-stage spatial-temporal graph convolutional neural networks

Action Segmentation Using 2D Skeleton Heatmaps and Multi-Modality Fusion


Targeted in situ genome-wide profiling with high efficiency for low cell numbers

C/EBPB-dependent adaptation to palmitic acid promotes tumor formation in hormone receptor negative breast cancer

UTX promotes CD8+ T cell-mediated antiviral defenses but reduces T cell durability

An Alzheimer’s disease-associated common regulatory variant in PTK2B has causal effects on microglial function


Code for the paper "Adversarial Generator-Encoder Networks"

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

Variational Approaches for Auto-Encoding Generative Adversarial Networks

It Takes (Only) Two: Adversarial Generator-Encoder Networks

Pioneer Networks: Progressively Growing Generative Autoencoder

Semi-supervised image attribute editing using generative adversarial networks

Pairwise Augmented GANs with Adversarial Reconstruction Loss


Commonsense Ability Tests

Evaluating Commonsense in Pre-trained Language Models

Probing Across Time: What Does RoBERTa Know and When?

An Application of Pseudo-Log-Likelihoods to Natural Language Scoring


Official repository for CVPR'23 paper: Detecting Backdoors in Pre-trained Encoders

Learning Transferable Visual Models From Natural Language Supervision

BadEncoder: Backdoor Attacks to Pre-trained Encoders in Self-Supervised Learning

Poisoning and Backdooring Contrastive Learning


Code for "Exploring Dynamic Selection of Branch Expansion Orders for Code Generation" (ACL 2021)

TRANX: A Transition-based Neural Abstract Syntax Parser for Semantic Parsing and Code Generation

StructVAE: Tree-structured Latent Variable Models for Semi-supervised Semantic Parsing


A library for static attributed graph outlier detection. 静态属性图节点的异常检测模型集。

Deep Anomaly Detection on Attributed Networks

Society for Industrial and Applied Mathematics eBooks

AnomalyDAE: Dual autoencoder for anomaly detection on attributed networks

One-class graph neural networks for anomaly detection in attributed networks

Outlier Aware Network Embedding for Attributed Networks


A robust and fast clustering method for amplicon-based studies

Blind assessment of vertebrate taxonomic diversity across spatial scales by clustering environmental DNA metabarcoding sequences

High and specific diversity of protists in the deep-sea basins dominated by diplonemids, kinetoplastids, ciliates and foraminiferans

Genetic Diversity in Marine Planktonic Ciliates (Alveolata, Ciliophora) Suggests Distinct Geographical Patterns – Data From Chinese and European Coastal Waters


Documentation effort for the BookCorpus dataset

On the Dangers of Stochastic Parrots: Can Language Models Be Too Big?

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

Datasheets for Datasets

The Pile: An 800GB Dataset of Diverse Text for Language Modeling

Addressing "Documentation Debt" in Machine Learning Research: A Retrospective Datasheet for BookCorpus


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


AR1* with Latent Replay, implemented in PyTorch

Latent Replay for Real-Time Continual Learning

Rehearsal-Free Continual Learning over Small Non-I.I.D. Batches

A TinyML Platform for On-Device Continual Learning With Quantized Latent Replays


Compute N50/NG50 and auN/auNG

Structural variant-based pangenome construction has low sensitivity to variability of haplotype-resolved bovine assemblies

Evolutionary dynamics of transposable elements in bdelloid rotifers

De novo genome assembly of the marine teleost, bluefin trevally (Caranx melampygus)

The genome of a giant (trevally): Caranx ignobilis


Code for "Can We Scale Transformers to Predict Parameters of Diverse ImageNet Models?" [ICML 2023]

ResNet strikes back: An improved training procedure in timm


Code for the TriviaQA reading comprehension dataset

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

End-to-End Training of Multi-Document Reader and Retriever for Open-Domain Question Answering

English Machine Reading Comprehension Datasets: A Survey

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

Fast Reading Comprehension with ConvNets

DsDm: Model-Aware Dataset Selection with Datamodels

DataComp-LM: In search of the next generation of training sets for
  language models

A Frustratingly Easy Improvement for Position Embeddings via Random Padding


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.


One implementation of the paper "DMRST: A Joint Framework for Document-Level Multilingual RST Discourse Segmentation and Parsing".

Multilingual Neural RST Discourse Parsing

Incorporating Distributions of Discourse Structure for Long Document Abstractive Summarization

Composition-contrastive Learning for Sentence Embeddings

RST-LoRA: A Discourse-Aware Low-Rank Adaptation for Long Document Abstractive Summarization

SciNews: From Scholarly Complexities to Public Narratives -- A Dataset
  for Scientific News Report Generation


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

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

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


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


Pinpoints the mutation favored by selection

An ancient viral epidemic involving host coronavirus interacting genes more than 20,000 years ago in East Asia

Identifying the favored mutation in a positive selective sweep

Selective sweep for an enhancer involucrin allele identifies skin barrier adaptation out of Africa

Fine-mapping the Favored Mutation in a Positive Selective Sweep

PopHumanVar: an interactive application for the functional characterization and prioritization of adaptive genomic variants in humans


Integrative orthogonal non-negative matrix factorization

Deep Learning in Mining Biological Data

Prediction of RNA-protein sequence and structure binding preferences using deep convolutional and recurrent neural networks

Comprehensive Evaluation of Deep Learning Architectures for Prediction of DNA/RNA Sequence Binding Specificities

Integrating thermodynamic and sequence contexts improves protein-RNA binding prediction

Deep neural networks for inferring binding sites of RNA-binding proteins by using distributed representations of RNA primary sequence and secondary structure

A Review About RNA–Protein-Binding Sites Prediction Based on Deep Learning

Transfer Learning Allows Accurate RBP Target Site Prediction with Limited Sample Sizes


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

ColdNAS: Search to Modulate for User Cold-Start Recommendation


Python code for paper - Variational Deep Embedding : A Generative Approach to Clustering

Variational Deep Embedding: An Unsupervised and Generative Approach to Clustering

SpectralNet: Spectral Clustering using Deep Neural Networks

Mixture-of-Experts Variational Autoencoder for Clustering and Generating from Similarity-Based Representations on Single Cell Data

Attentive Representation Learning With Adversarial Training for Short Text Clustering

Mixture-of-Experts Variational Autoencoder for clustering and generating from similarity-based representations

Generalized Clustering by Learning to Optimize Expected Normalized Cuts


A comprehensive overview of graph neural network-based approaches to clustering for spatial transcriptomics

Computational and structural biotechnology journal

Revealing Tissue Heterogeneity and Spatial Dark Genes from Spatially Resolved Transcriptomics by Multiview Graph Networks


NewsCLIPpings: Automatic Generation of Out-of-Context Multimodal Media, EMNLP 2021

Synthetic Misinformers: Generating and Combating Multimodal Misinformation

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


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


Implementation of our paper "Meta Reinforcement Learning with Task Embedding and Shared Policy"

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

Meta-SGD: Learning to Learn Quickly for Few-Shot Learning

Meta-Reinforcement Learning of Structured Exploration Strategies


TIP2019-GazeGAN Saliency Model

How is Gaze Influenced by Image Transformations? Dataset and Model

When I Look into Your Eyes: A Survey on Computer Vision Contributions for Human Gaze Estimation and Tracking

Invariance Analysis of Saliency Models versus Human Gaze During Scene Free Viewing

Adversarial Attacks against Deep Saliency Models


Catchment Attributes and Meteorology for Large-sample Studies

CAMELS-GB: hydrometeorological time series and landscape attributes for 671 catchments in Great Britain

LamaH-CE: LArge-SaMple DAta for Hydrology and Environmental Sciences for Central Europe

LamaH | Large-Sample Data for Hydrology and Environmental Sciences for Central Europe


Form images from U.S. National Archives annotated with text bounding boxes, classes, relationships, and transcription.

End-to-end Document Recognition and Understanding with Dessurt

Deep Visual Template-Free Form Parsing

Visual FUDGE: Form Understanding via Dynamic Graph Editing

Revising FUNSD dataset for key-value detection in document images


Mix-n-Match: Ensemble and Compositional Methods for Uncertainty Calibration in Deep Learning

Local Temperature Scaling for Probability Calibration

What Makes Graph Neural Networks Miscalibrated?

Beyond In-Domain Scenarios: Robust Density-Aware Calibration

Transferable Post-hoc Calibration on Pretrained Transformers in Noisy Text Classification

Proceedings of the AAAI Conference on Artificial Intelligence


Emmanoulopoulos style lightcurve simulation

The ultracompact nature of the black hole candidate X-ray binary 47 Tuc X9

Monthly Notices of the Royal Astronomical Society

A Python Code for the Emmanoulopoulos et al. [arXiv:1305.0304] Light Curve Simulation Algorithm

Transient quasi-periodic oscillations at γ-rays in the TeV blazar PKS 1510-089

Locating the gamma-ray emission region in the brightest Fermi-LAT flat-spectrum radio quasars

Longterm properties of accretion discs in X-ray Binaries - III. A search for spin-superorbital correlation in SMC X-1

Monthly notices of the Royal Astronomical Society

Rapid variability at very high energies in Mrk 501

Detection of a quasi-periodic oscillation in the optical light curve of the remarkable blazar AO 0235+164

A 31.3 day Transient Quasiperiodic Oscillation in Gamma-ray Emission from Blazar S5 0716+714

Broad-band study of OQ 334 during its flaring state

Exploring Short-Term Optical Variability of Blazars Using TESS


code associated with crane-nature-2015, 10.1038/nature14450

Condensin-driven remodelling of X chromosome topology during dosage compensation

Single-nucleus Hi-C reveals unique chromatin reorganization at oocyte-to-zygote transition

Transcriptionally active HERV-H retrotransposons demarcate topologically associating domains in human pluripotent stem cells

TAD fusion score: discovery and ranking the contribution of deletions to genome structure

Zenodo (CERN European Organization for Nuclear Research)

Quantifying the phase separation property of chromatin-associated proteins under physiological conditions using an anti-1,6-hexanediol index

Integrative Analysis of Genome, 3D Genome, and Transcriptome Alterations of Clinical Lung Cancer Samples

基因组蛋白质组与生物信息学报

Contribution of structural variation to genome structure: TAD fusion discovery and ranking


Various scripts and recipes for working with nanopore data

Real-time, portable genome sequencing for Ebola surveillance

A complete bacterial genome assembled de novo using only nanopore sequencing data

Extensive sequencing of seven human genomes to characterize benchmark reference materials

A reference bacterial genome dataset generated on the MinION™ portable single-molecule nanopore sequencer

A single chromosome assembly of Bacteroides fragilis strain BE1 from Illumina and MinION nanopore sequencing data

Robust long-read native DNA sequencing using the ONT CsgG Nanopore system

Assessing the utility of the Oxford Nanopore MinION for snake venom gland cDNA sequencing

De Novo Assembly of Human Herpes Virus Type 1 (HHV-1) Genome, Mining of Non-Canonical Structures and Detection of Novel Drug-Resistance Mutations Using Short- and Long-Read Next Generation Sequencing Technologies


[ICCVW 2019] A Global-local Embedding Module for Fashion Landmark Detection

Fashion Landmark Detection in the Wild

Unconstrained Fashion Landmark Detection via Hierarchical Recurrent Transformer Networks

A Global-Local Emebdding Module for Fashion Landmark Detection


audioLIME: Listenable Explanations Using Source Separation

Tracing Back Music Emotion Predictions to Sound Sources and Intuitive Perceptual Qualities

Towards Musically Meaningful Explanations Using Source Separation


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


Ensemble learning related books, papers, videos, and toolboxes

Ensemble learning: A survey

Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery

LSCP: Locally Selective Combination in Parallel Outlier Ensembles

An Unsupervised Boosting Strategy for Outlier Detection Ensembles

Pacific-Asia Conference on Knowledge Discovery and Data Mining


AAAI 2021: Beyond Class-Conditional Assumption: A Primary Attempt to Combat Instance-Dependent Label Noise

A Closer Look at Memorization in Deep Networks

Learning from Noisy Labels with Deep Neural Networks: A Survey

Rethinking Noisy Label Models: Labeler-Dependent Noise with Adversarial Awareness

SplitNet: Learnable Clean-Noisy Label Splitting for Learning with Noisy Labels


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

Scalable Pareto Front Approximation for Deep Multi-Objective Learning

PMGDA: A Preference-based Multiple Gradient Descent Algorithm

Multi-Task Learning with Multi-Task Optimization


Efficient Exploration through Bayesian Deep Q-Networks

Principled Exploration via Optimistic Bootstrapping and Backward Induction

Randomized Value Functions via Multiplicative Normalizing Flows


iPEPS ground- and excited-state implementation based on Automatic Differentiation

Automatic differentiation applied to excitations with projected entangled pair states

variPEPS -- a versatile tensor network library for variational ground state simulations in two spatial dimensions

YASTN: Yet another symmetric tensor networks; A Python library for
  abelian symmetric tensor network calculations


This is the repository of EMNLP'2022 paper: "Improving Multi-turn Emotional Support Dialogue Generation with Lookahead Strategy Planning".

Aligning Language Models with Human Preferences via a Bayesian Approach

COOPER: Coordinating Specialized Agents towards a Complex Dialogue Goal


A PyTorch implementation of D-RISE

MMDetection: Open MMLab Detection Toolbox and Benchmark

RISE: Randomized Input Sampling for Explanation of Black-box Models

Black-box Explanation of Object Detectors via Saliency Maps


Source code of AAAI'22 paper: A Hybrid Causal Structure Learning Algorithm for Mixed-type Data

A Survey on Causal Discovery Methods for I.I.D. and Time Series Data

A Hybrid Causal Structure Learning Algorithm for Mixed-Type Data

THIRTY-SIXTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE / THIRTY-FOURTH CONFERENCE ON INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE / TWELVETH SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE


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 set of scripts for calculating pairwise SNP distance

Fast and flexible bacterial genomic epidemiology with PopPUNK

Dissemination of Mycobacterium abscessus via global transmission networks

Inferring Mycobacterium bovis transmission between cattle and badgers using isolates from the Randomised Badger Culling Trial

Population structure and transmission of Mycobacterium bovis in Ethiopia

Genomic surveillance of multidrug-resistant Klebsiella in Wales reveals persistent spread of Klebsiella pneumoniae ST307 and adaptive evolution of pOXA-48-like plasmids

Epidemiologic and Genomic Reidentification of Yaws, Liberia

Detection of SARS-CoV-2 infection clusters: The useful combination of spatiotemporal clustering and genomic analyses

Colonization and transmission of Staphylococcus aureus in schools: a citizen science project

Whole genome sequencing of Ethiopian Brucella abortus isolates expands the known diversity of an early branching sub-Saharan African lineage


Pariwise analysis of GWAS

Expanding the genetic architecture of nicotine dependence and its shared genetics with multiple traits

Genetic analyses identify pleiotropy and causality for blood proteins and highlight Wnt/β-catenin signalling in migraine

Shared genetic architecture between periodontal disease and type 2 diabetes: a large scale genome-wide cross-trait analysis

Genetic Architecture of Abdominal Fat Deposition Revealed by a Genome-Wide Association Study in the Laying Chicken


[TMLR 2022] Geometric Flow Network for 3D Point Cloud Semantic Segmentation

Robo3D: Towards Robust and Reliable 3D Perception against Corruptions

GFNet: Geometric Flow Network for 3D Point Cloud Semantic Segmentation

Benchmarking the Robustness of LiDAR Semantic Segmentation Models

Calib3D: Calibrating Model Preferences for Reliable 3D Scene
  Understanding


Chromatic aberration simulation and correction

Distributed Optimization and Statistical Learning via the Alternating Direction Method of Multipliers

Foundations and Trends® in Machine Learning

Blind deconvolution using a normalized sparsity measure

High-quality hyperspectral reconstruction using a spectral prior

International Conference on Computer Graphics and Interactive Techniques

Training-Based Spectral Reconstruction from a Single RGB Image

Color Correction Using Root-Polynomial Regression

Beyond Color Difference: Residual Interpolation for Color Image Demosaicking

Adaptive Residual Interpolation for Color and Multispectral Image Demosaicking

Compact single-shot hyperspectral imaging using a prism

Reference data set for camera spectral sensitivity estimation

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

Joint demosaicing and denoising of noisy bayer images with ADMM

International Conference on Information Photonics


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


Code for the paper "Estimating Transfer Entropy via Copula Entropy"

copent: Estimating Copula Entropy and Transfer Entropy in R

Evaluating Independence and Conditional Independence Measures


Sparse and Imperceivable Adversarial Attacks (accepted to ICCV 2019).

GreedyFool: Distortion-Aware Sparse Adversarial Attack

Scattering Model Guided Adversarial Examples for SAR Target Recognition: Attack and Defense


COMP6 Benchmark dataset for ML potentials

ANI-1: an extensible neural network potential with DFT accuracy at force field computational cost

Less is more: sampling chemical space with active learning

ANI-1, A data set of 20 million calculated off-equilibrium conformations for organic molecules

Outsmarting Quantum Chemistry Through Transfer Learning

Learning Small Molecule Energies and Interatomic Forces with an Equivariant Transformer on the ANI-1x Dataset


Forward and Reverse Mode Automatic Differentiation (AD) in R6RS Scheme plus extensions to support nondeterministic and stochastic programming

Automatic differentiation in machine learning: a survey

SO(8) supergravity and the magic of machine learning

Divide-and-conquer checkpointing for arbitrary programs with no user annotation

Proceedings of the 2020 Scheme and Functional Programming Workshop

Perturbation confusion in forward automatic differentiation of higher-order functions


simobility - light-weight mobility simulation framework. Best for quick prototyping


Neural Common Neighbor with Completion for Link Prediction

Evaluating Graph Neural Networks for Link Prediction: Current Pitfalls and New Benchmarking

Revisiting Link Prediction: A Data Perspective

A Topological Perspective on Demystifying GNN-Based Link Prediction Performance


TNNLS: A Synergistic Approach for Graph Anomaly Detection with Pattern Mining and Feature Learning; CIKM'20: Error-bounded Graph Anomaly Loss for GNNs.

BOND: Benchmarking Unsupervised Outlier Node Detection on Static Attributed Graphs

Error-Bounded Graph Anomaly Loss for GNNs

International Conference on Information and Knowledge Management

A Synergistic Approach for Graph Anomaly Detection With Pattern Mining and Feature Learning

IEEE transactions on neural networks and learning systems

Unsupervised Graph Outlier Detection: Problem Revisit, New Insight, and Superior Method

Reinforcement Neighborhood Selection for Unsupervised Graph Anomaly Detection


PyTorch code for Active Domain Adaptation via Clustering Uncertainty-weighted Embeddings (ICCV 2021)

Combating Label Distribution Shift for Active Domain Adaptation

Bayesian Active Learning for Sim-to-Real Robotic Perception

Active Test-Time Adaptation: Theoretical Analyses and An Algorithm


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


The Fact Extraction and VERification (FEVER) Shared Task

TwoWingOS: A Two-Wing Optimization Strategy for Evidential Claim Verification

A Review on Fact Extraction and Verification

Topic-Aware Evidence Reasoning and Stance-Aware Aggregation for Fact Verification

Adversarial attacks against Fact Extraction and VERification

WikiCheck: An end-to-end open source Automatic Fact-Checking API based on Wikipedia

Improving Bot Response Contradiction Detection via Utterance Rewriting

Learning to Navigate Wikipedia by Taking Random Walks

GLAF: Global-to-Local Aggregation and Fission Network for Semantic Level Fact Verification

International Conference on Computational Linguistics

Multilingual Evidence Retrieval and Fact Verification to Combat Global Disinformation: The Power of Polyglotism


This repo contains code and a pre-trained model for clothes segmentation.

U2-Net: Going deeper with nested U-structure for salient object detection

Multimodal Garment Designer: Human-Centric Latent Diffusion Models for Fashion Image Editing

USR: Unsupervised Separated 3D Garment and Human Reconstruction via Geometry and Semantic Consistency

Multimodal-Conditioned Latent Diffusion Models for Fashion Image Editing


This repository contains the description of the IEEE Signal Processing Cup 2021. Everyone is welcome to join this cup!

Reconfigurable Intelligent Surfaces: A signal processing perspective with wireless applications

Optimizing a Binary Intelligent Reflecting Surface for OFDM Communications under Mutual Coupling

Configuring an Intelligent Reflecting Surface for Wireless Communications


New dataset

Cross-lingual Language Model Pretraining

MLQA: Evaluating Cross-lingual Extractive Question Answering

Cross-Lingual Passage Re-Ranking With Alignment Augmented Multilingual BERT

Cross-language Information Retrieval


RNA-seq Quantification of Alternative Polyadenylation

Differential contribution of transcriptomic regulatory layers in the definition of neuronal identity

Implications of Poly(A) Tail Processing in Repeat Expansion Diseases

PolyAMiner-Bulk: A Machine Learning Based Bioinformatics Algorithm to Infer and Decode Alternative Polyadenylation Dynamics from bulk RNA-seq data

bioRxiv : the preprint server for biology


Non-parametrics for Causal Inference

Estimating individual treatment effect: generalization bounds and algorithms

Learning Representations for Counterfactual Inference

A Survey on Causal Inference

Treatment effect estimation with disentangled latent factors

A Unified Survey of Treatment Effect Heterogeneity Modelling and Uplift Modelling

Evaluation Methods and Measures for Causal Learning Algorithms

Matching in Selective and Balanced Representation Space for Treatment Effects Estimation

RieszNet and ForestRiesz: Automatic Debiased Machine Learning with Neural Nets and Random Forests

Learning Interpretable Models with Causal Guarantees

Sufficient dimension reduction for average causal effect estimation


An up-to-date list of papers and code relating to progress in the burgeoning field of AI-Drug Discovery

Extended-Connectivity Fingerprints

Journal of chemical information and modeling

Automatic Chemical Design Using a Data-Driven Continuous Representation of Molecules

Molecular graph convolutions: moving beyond fingerprints

Journal of computer-aided molecular design

Generating Focused Molecule Libraries for Drug Discovery with Recurrent Neural Networks

Deep Neural Nets as a Method for Quantitative Structure-Activity Relationships

Molecular Transformer – A Model for Uncertainty-Calibrated Chemical Reaction Prediction

Deep Learning for Computational Chemistry

GuacaMol: Benchmarking Models for De Novo Molecular Design

Machine learning prediction errors better than DFT accuracy

Neural-Symbolic Machine Learning for Retrosynthesis and Reaction Prediction


Code to reproduce data for Bias in Bios

Algorithmic fairness datasets: the story so far

FIND: Human-in-the-Loop Debugging Deep Text Classifiers

Upstream Mitigation Is Not All You Need: Testing the Bias Transfer Hypothesis in Pre-Trained Language Models

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

Debiasing isn't enough! -- On the Effectiveness of Debiasing MLMs and their Social Biases in Downstream Tasks

Human-Centric Multimodal Machine Learning: Recent Advances and Testbed on AI-Based Recruitment

MABEL: Attenuating Gender Bias using Textual Entailment Data

Does Robustness Improve Fairness? Approaching Fairness with Word Substitution Robustness Methods for Text Classification

Adversarial Scrubbing of Demographic Information for Text Classification

Fair NLP Models with Differentially Private Text Encoders

Measuring Fairness of Text Classifiers via Prediction Sensitivity


The source code for NeurIPS 2020 paper "Graph Policy Network for Transferable Active Learning on Graphs"

Reinforcement learning on graphs: A survey

Class-Balanced and Reinforced Active Learning on Graphs


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


Database of genomes integrated from the gut microbiome and other environments

New insights from uncultivated genomes of the global human gut microbiome

Genetic basis for the cooperative bioactivation of plant lignans by Eggerthella lenta and other human gut bacteria

Mucin-derived O-glycans supplemented to diet mitigate diverse microbiota perturbations

Accurate and robust inference of microbial growth dynamics from metagenomic sequencing reveals personalized growth rates

KEMET – A python tool for KEGG Module evaluation and microbial genome annotation expansion

Computational and structural biotechnology journal

Over 50000 metagenomically assembled draft genomes for the human oral microbiome reveal new taxa


MASS: Masked Sequence to Sequence Pre-training for Language Generation

Levenshtein Transformer

SEQ^3: Differentiable Sequence-to-Sequence-to-Sequence Autoencoder for Unsupervised Abstractive Sentence Compression

SemSUM: Semantic Dependency Guided Neural Abstractive Summarization

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

BiSET: Bi-directional Selective Encoding with Template for Abstractive Summarization

On Controllable Sparse Alternatives to Softmax

Fact-Enhanced Synthetic News Generation

Frustratingly Easy Model Ensemble for Abstractive Summarization

Empirical Methods in Natural Language Processing

VizSeq: A Visual Analysis Toolkit for Text Generation Tasks

Sequence Generation: From Both Sides to the Middle


Fuel cell electric vehicle with battery model and cooling system.


Neural Graph Evolution: Towards Efficient Automatic Robot Design

Transform2Act: Learning a Transform-and-Control Policy for Efficient Agent Design

Leveraging Hyperbolic Embeddings for Coarse-to-Fine Robot Design


Train Llama 2 & 3 on the SQuAD v2 task as an example of how to specialize a generalized (foundation) model.

Prefix-Tuning: Optimizing Continuous Prompts for Generation

LIMA: Less Is More for Alignment

How is ChatGPT's behavior changing over time?

Think before you speak: Training Language Models With Pause Tokens


A Python cross correlation command line tool for unevenly sampled time series

Constraints on Lorentz invariance and CPT violation using optical photometry and polarimetry of active galaxies BL Lacertae and S5 B0716+714

Evidence for hot clumpy accretion flow in the transitional millisecond pulsar PSR J1023+0038

Monthly Notices of the Royal Astronomical Society

Observation of the Gamma-Ray Binary HESS J0632+057 with the H.E.S.S., MAGIC, and VERITAS Telescopes

Simultaneous optical/X-ray study of GS 1354-64 (=BW Cir) during hard outburst: evidence for optical cyclo-synchrotron emission from the hot accretion flow

UV to X-Ray Comptonization Delay in Mrk 493

Long-term Optical and γ-Ray Variability of the Blazar PKS 1222+216

Contrasting X-ray/UV time-lags in Seyfert 1 galaxies NGC 4593 and NGC 7469 using AstroSat observations

Using mutual information to measure time lags from nonlinear processes in astronomy

Detection of X-ray/UV delay in NGC 4051 using AstroSat observations

Analysis of the Intranight Variability of BL Lacertae during Its 2020 August Flare


Recent Trends in the Use of Statistical Tests for Comparing Swarm and Evolutionary Computing Algorithms: Practical Guidelines and a Critical Review

Benchmarking in Optimization: Best Practice and Open Issues

Learning Adaptive Differential Evolution Algorithm From Optimization Experiences by Policy Gradient

How Does the Number of Objective Function Evaluations Impact Our Understanding of Metaheuristics Behavior?

Reinforcement Learning-assisted Evolutionary Algorithm: A Survey and Research Opportunities

A novel meta-heuristic optimization algorithm based on cell division: Cell Division Optimizer

On the performance of deep learning for numerical optimization: an application to protein structure prediction


Python implementation of the R package synthpop.

Achilles' Heels: Vulnerable Record Identification in Synthetic Data Publishing

Synthetic is all you need: removing the auxiliary data assumption for membership inference attacks against synthetic data


MemGuard: Defending against Black-Box Membership Inference Attacks via Adversarial Examples

Membership Leakage in Label-Only Exposures

Practical Blind Membership Inference Attack via Differential Comparisons

RelaxLoss: Defending Membership Inference Attacks without Losing Utility

Challenges towards the Next Frontier in Privacy

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

GRAIMATTER Green Paper: Recommendations for disclosure control of trained Machine Learning (ML) models from Trusted Research Environments (TREs)


Omnigrok: Grokking Beyond Algorithmic Data

Grokking: Generalization Beyond Overfitting on Small Algorithmic Datasets

Identifying Equivalent Training Dynamics


A Tensorflow2.x implementation of Scaled-YOLOv4 as described in Scaled-YOLOv4: Scaling Cross Stage Partial Network

YOLOv4: Optimal Speed and Accuracy of Object Detection

Distance-IoU Loss: Faster and Better Learning for Bounding Box Regression

Sharpness-Aware Minimization for Efficiently Improving Generalization


Single cell transcriptomics of primate sensory neurons identifies cell types associated with chronic pain

Single cell transcriptomics of primate sensory neurons identifies cell types associated with human chronic pain

Addressing the looming identity crisis in single cell RNA-seq

Practical bioinformatics pipelines for single-cell RNA-seq data analysis


Conditional Image Synthesis With Auxiliary Classifier GANs

Skip-Thought Vectors

TAC-GAN - Text Conditioned Auxiliary Classifier Generative Adversarial Network


[EMNLP 2022] This is the code repo for our EMNLP‘22 paper "COCO-DR: Combating Distribution Shifts in Zero-Shot Dense Retrieval with Contrastive and Distributionally Robust Learning".

Text and Code Embeddings by Contrastive Pre-Training

Large Dual Encoders Are Generalizable Retrievers

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


code for TMI DoFE: Domain-oriented Feature Embeddingfor Generalizable Fundus Image Segmentationon Unseen Datasets

CDDSA: Contrastive Domain Disentanglement and Style Augmentation for Generalizable Medical Image Segmentation

Contrastive Domain Disentanglement for Generalizable Medical Image Segmentation


code for "Optimal Stopping via Randomized Neural Networks"

Pricing and hedging American-style options with deep learning

Journal of risk and financial management

Higher Order Kernel Mean Embeddings to Capture Filtrations of Stochastic Processes


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


Solar radiation model for flight dynamics. Based on Duffie & Beckman "Solar energy thermal processes" (1974)


[ICML 2024 Oral] Official code repository for MLLM-as-a-Judge.

Judging LLM-as-a-Judge with MT-Bench and Chatbot Arena

HallusionBench: An Advanced Diagnostic Suite for Entangled Language Hallucination & Visual Illusion in Large Vision-Language Models

LLM-as-a-Coauthor: Can Mixed Human-Written and Machine-Generated Text Be Detected?

MLLM-as-a-Judge: Assessing Multimodal LLM-as-a-Judge with
  Vision-Language Benchmark


Packet simulator for data center network topologies, routing, and congestion control

COUDER: Robust Topology Engineering for Optical Circuit Switched Data Center Networks

Distributed deep learning training using silicon photonic switched architectures

METTEOR: Robust Multi-Traffic Topology Engineering for Commercial Data Center Networks

RIFO: Pushing the Efficiency of Programmable Packet Schedulers


Code and datasets for EMNLP2018 paper ‘‘Adaptive Semi-supervised Learning for Cross-domain Sentiment Classification’’.

Feature Adaptation of Pre-Trained Language Models across Languages and Domains with Robust Self-Training

Improving Domain-Adapted Sentiment Classification by Deep Adversarial Mutual Learning

Domain Confused Contrastive Learning for Unsupervised Domain Adaptation

Sequential Domain Adaptation through Elastic Weight Consolidation for Sentiment Analysis

Meta-Tsallis-Entropy Minimization: A New Self-Training Approach for Domain Adaptation on Text Classification

DaMSTF: Domain Adversarial Learning Enhanced Meta Self-Training for Domain Adaptation


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


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


NetWalk: A Flexible Deep Embedding Approach for Anomaly Detection in Dynamic Networks

Dynamic Network Embedding Survey

Understanding graph embedding methods and their applications

F-FADE: Frequency Factorization for Anomaly Detection in Edge Streams


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.


Exact Pareto Optimal solutions for preference based Multi-Objective Optimization

Multi-Task Learning with User Preferences: Gradient Descent with Controlled Ascent in Pareto Optimization

International Conference on Machine Learning

Bi-Level Multiobjective Evolutionary Learning: A Case Study on Multitask Graph Neural Topology Search

Scalable Uni-directional Pareto Optimality for Multi-Task Learning with Constraints

PMGDA: A Preference-based Multiple Gradient Descent Algorithm

Multi-Task Learning with Multi-Task Optimization


Constituency Parsing with a Self-Attentive Encoder

Multilingual Constituency Parsing with Self-Attention and Pre-Training

Learned Incremental Representations for Parsing


Event camera (DVS, Spike) based Papers Published on Top International Conference

SSTFormer: Bridging Spiking Neural Network and Memory Support Transformer for Frame-Event based Recognition

Semantic-Aware Frame-Event Fusion based Pattern Recognition via Large Vision-Language Models

Learning Bottleneck Transformer for Event Image-Voxel Feature Fusion based Classification

Unleashing the Power of CNN and Transformer for Balanced RGB-Event Video Recognition

Retain, Blend, and Exchange: A Quality-aware Spatial-Stereo Fusion
  Approach for Event Stream Recognition


Code for the paper "Automatic Design of Convolutional Neural Network for Hyperspectral Image Classification"

DARTS: Differentiable Architecture Search

3-D-ANAS: 3-D Asymmetric Neural Architecture Search for Fast Hyperspectral Image Classification

Grafting Transformer on Automatically Designed Convolutional Neural Network for Hyperspectral Image Classification

IEEE Transactions on Geoscience and Remote Sensing

3D-ANAS v2: Grafting Transformer Module on Automatically Designed ConvNet for Hyperspectral Image Classification.


A comparison of different Oxford Nanopore basecallers

Performance of neural network basecalling tools for Oxford Nanopore sequencing

Genetic Biomonitoring and Biodiversity Assessment Using Portable Sequencing Technologies: Current Uses and Future Directions

Antimicrobial resistance prediction and phylogenetic analysis of Neisseria gonorrhoeae isolates using the Oxford Nanopore MinION sequencer

Completing Circular Bacterial Genomes With Assembly Complexity by Using a Sampling Strategy From a Single MinION Run With Barcoding

Strategies and tools in illumina and nanopore‐integrated metagenomic analysis of microbiome data

poreTally: run and publish de novo nanopore assembler benchmarks


Official implementation of DeepDFT model

Equivariant graph neural networks for fast electron density estimation of molecules, liquids, and solids

DeepDFT: Neural Message Passing Network for Accurate Charge Density Prediction

Gaussian Plane-Wave Neural Operator for Electron Density Estimation


Library implementing the Fan-Vercauteren homomorphic encryption scheme

Homomorphic Encryption for Machine Learning in Medicine and Bioinformatics

SoK: Fully Homomorphic Encryption Compilers

A systematic review of homomorphic encryption and its contributions in healthcare industry

Somewhat/Fully Homomorphic Encryption: Implementation Progresses and Challenges

Zenodo (CERN European Organization for Nuclear Research)

Road Distance Computation Using Homomorphic Encryption in Road Networks

Computers, materials & continua/Computers, materials & continua (Print)

A Tutorial Introduction to Lattice-based Cryptography and Homomorphic Encryption

Hail the Closest Driver on Roads: Privacy-Preserving Ride Matching in Online Ride Hailing Services

Encrypted Operator Computing: a novel scheme for computation on encrypted data

Wildest Dreams: Reproducible Research in Privacy-preserving Neural
  Network Training


CARRADA Dataset: Camera and Automotive Radar with Range-Angle-Doppler Annotations

Multi-View Radar Semantic Segmentation

International Conference on Computer Vision

Deep learning for radar data exploitation of autonomous vehicle

Human Detection from 4D Radar Data in Low-Visibility Field Conditions


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


Dogs classification with Deep Metric Learning

FaceNet: A Unified Embedding for Face Recognition and Clustering

No Fuss Distance Metric Learning using Proxies

SoftTriple Loss: Deep Metric Learning Without Triplet Sampling

Proxy Anchor Loss for Deep Metric Learning

A new dataset of dog breed images and a benchmark for finegrained classification


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 )


This repository contains levels for boxoban, a box-pushing puzzle game inspired by Sokoban.

An investigation of model-free planning

Transient Non-Stationarity and Generalisation in Deep Reinforcement Learning

MiniHack the Planet: A Sandbox for Open-Ended Reinforcement Learning Research

Single-Agent Policy Tree Search With Guarantees

Policy-Guided Heuristic Search with Guarantees

Megaverse: Simulating Embodied Agents at One Million Experiences per Second

Physically Embedded Planning Problems: New Challenges for Reinforcement Learning

Heuristic Search Planning with Deep Neural Networks using Imitation, Attention and Curriculum Learning

Compressing and Comparing the Generative Spaces of Procedural Content Generators

Symbolic Relational Deep Reinforcement Learning based on Graph Neural Networks and Autoregressive Policy Decomposition


Python Implementation of Zero Shot Learning Algorithms (ALE, DeViSE, ESZSL, SAE, SJE) under ZSLGBU protocol

Zero-Shot Learning—A Comprehensive Evaluation of the Good, the Bad and the Ugly

Evaluation of Output Embeddings for Fine-Grained Image Classification

Semantic Autoencoder for Zero-Shot Learning

Label-Embedding for Image Classification

IEEE transactions on pattern analysis and machine intelligence


Semantic Segmentation of Legal texts that labels sentences with one of 7 rhetorical roles.

Identification of Rhetorical Roles of Sentences in Indian Legal Judgments

Incorporating Domain Knowledge for Extractive Summarization of Legal Case Documents

Pre-trained Language Models for the Legal Domain: A Case Study on Indian Law

Sentence Embeddings and High-Speed Similarity Search for Fast Computer Assisted Annotation of Legal Documents

Methods for Computing Legal Document Similarity: A Comparative Study

Cross-Domain Generalization and Knowledge Transfer in Transformers Trained on Legal Data

Data-Centric Machine Learning: Improving Model Performance and Understanding Through Dataset Analysis

Data-Centric Machine Learning in the Legal Domain


This is the GitHub page for publicly available emotional speech data.

Seen and Unseen emotional style transfer for voice conversion with a new emotional speech dataset

Emotional Voice Conversion: Theory, Databases and ESD

EmoFake: An Initial Dataset for Emotion Fake Audio Detection

DurFlex-EVC: Duration-Flexible Emotional Voice Conversion with Parallel Generation


CaDM: Context-aware Dynamics Model for Generalization in Model-based Reinforcement Learning

Context-aware Dynamics Model for Generalization in Model-Based Reinforcement Learning

PerSim: Data-Efficient Offline Reinforcement Learning with Heterogeneous Agents via Personalized Simulators

State Regularized Policy Optimization on Data with Dynamics Shift


Create pgm map from Gazebo world file for ROS localization

iRotate: Active Visual SLAM for Omnidirectional Robots

Active Visual SLAM with Independently Rotating Camera

Design and Implementation of a Modular UUV Simulation Platform

Integration of 4D BIM and Robot Task Planning: Creation and Flow of
  Construction-Related Information for Action-Level Simulation of Indoor Wall
  Frame Installation


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

Towards Efficient Trajectory Generation for Ground Robots beyond 2D Environment

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

Catch Planner: Catching High-Speed Targets in the Flight

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

Continuous Implicit SDF Based Any-shape Robot Trajectory Optimization

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

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


Coresets via Bilevel Optimization

Coresets via Bilevel Optimization for Continual Learning and Streaming

Semi-supervised Batch Active Learning via Bilevel Optimization

Coreset Selection with Prioritized Multiple Objectives


Deep-Atrous-CNN-Text-Network: End-to-end word level model for sentiment analysis and other text classifications

Convolutional Neural Networks for Sentence Classification

WaveNet: A Generative Model for Raw Audio

Neural Machine Translation in Linear Time


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


State-of-the-art neural cardinality estimators for join queries

NeuroCard: One Cardinality Estimator for All Tables

Cardinality Estimation in DBMS: A Comprehensive Benchmark Evaluation

FLAT: Fast, Lightweight and Accurate Method for Cardinality Estimation

PRICE: A Pretrained Model for Cross-Database Cardinality Estimation


1st place solution for "xView2: Assess Building Damage" challenge.

U-Net: Convolutional Networks for Biomedical Image Segmentation

Disaster mapping from satellites: damage detection with crowdsourced point labels

An Efficient and Uncertainty-Aware Decision Support System for Disaster Response Using Aerial Imagery

DISCount: Counting in Large Image Collections with Detector-Based Importance Sampling


Investigating Impaired Aircraft's Flight Envelope Variation Predictability Using Least-Squares Regression Analysis

Journal of Aerospace Information Systems

Nonlinear Trajectory-Based Region of Attraction Estimation for Aircraft Dynamics Analysis

Framework for Estimating Performance and Associated Uncertainty for Modified Aircraft Configurations


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 Structure Model for Large-Scale Recommendations


VulRepair: A T5-Based Automated Software Vulnerability Repair

CodeT5: Identifier-aware Unified Pre-trained Encoder-Decoder Models for Code Understanding and Generation

Neural Transfer Learning for Repairing Security Vulnerabilities in C Code

A Survey of Learning-based Automated Program Repair


A benchmarking suite for disentanglement algorithms, suited for evaluating robustness to correlated factors. Codebase for the paper "Disentanglement of Correlated Factors via Hausdorff Factorized Support" by Karsten Roth, Mark Ibrahim, Zeynep Akata, Pascal Vincent, Diane Bouchacourt.

Deep Learning Face Attributes in the Wild

Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms

Stochastic Gradient VB and the Variational Auto-Encoder

Disentangling by Factorising

Isolating Sources of Disentanglement in Variational Autoencoders

Understanding disentangling in β-VAE

Variational Inference of Disentangled Latent Concepts from Unlabeled Observations

Weakly-Supervised Disentanglement Without Compromises

Learning Deep Disentangled Embeddings with the F-Statistic Loss

On the Transfer of Inductive Bias from Simulation to the Real World: a New Disentanglement Dataset


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

The CALLA Dataset: Probing LLMs' Interactive Knowledge Acquisition from Chinese Medical Literature

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

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

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


Repository of "An Empirical Study of Incorporating Pseudo Data into Grammatical Error Correction" (EMNLP-IJCNLP 2019)

Frustratingly Easy System Combination for Grammatical Error Correction

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

Grammatical Error Correction with Contrastive Learning in Low Error Density Domains

Findings of the Association for Computational Linguistics: EMNLP 2021

System Combination via Quality Estimation for Grammatical Error Correction

GPT-3.5 for Grammatical Error Correction

Beyond Hard Samples: Robust and Effective Grammatical Error Correction with Cycle Self-Augmenting


Per-Pixel Classification is Not All You Need for Semantic Segmentation (NeurIPS 2021, spotlight)

Visual ChatGPT: Talking, Drawing and Editing with Visual Foundation Models

Panoptic SegFormer: Delving Deeper into Panoptic Segmentation with Transformers

DatasetDM: Synthesizing Data with Perception Annotations Using Diffusion Models

Guess What Moves: Unsupervised Video and Image Segmentation by Anticipating Motion

SAPA: Similarity-Aware Point Affiliation for Feature Upsampling


A Stan-like probabilistic programming language.

Probabilistic programming with densities in SlicStan: efficient, flexible, and deterministic

Proceedings of the ACM on Programming Languages

Conditional Independence by Typing

Program Analysis of Probabilistic Programs


Cartesian Cubical Type Theory

Cubical Agda: A dependently typed programming language with univalence and higher inductive types

Internal Universes in Models of Homotopy Type Theory

An introduction to univalent foundations for mathematicians

Bulletin of the American Mathematical Society

Internalizing Representation Independence with Univalence

Cubical Syntax for Reflection-Free Extensional Equality

Computational Higher Type Theory IV: Inductive Types

All (∞,1)-toposes have strict univalent universes

Decomposing the Univalence Axiom

Naive cubical type theory

The derivator of setoids


Codes accompanying the paper "Believe What You See: Implicit Constraint Approach for Offline Multi-Agent Reinforcement Learning" (NeurIPS 2021 Spotlight https://arxiv.org/abs/2106.03400)

Plan Better Amid Conservatism: Offline Multi-Agent Reinforcement Learning with Actor Rectification

Counterfactual Conservative Q Learning for Offline Multi-agent Reinforcement Learning


Code for "RayNet: Learning Volumetric 3D Reconstruction with Ray Potentials", CVPR 2018

SurfaceNet: An End-to-end 3D Neural Network for Multiview Stereopsis

Learned Multi-Patch Similarity


Age and gender recognition using arcface and MLP.

Rethinking the Usage of Batch Normalization and Dropout in the Training of Deep Neural Networks

Generalizing MLPs With Dropouts, Batch Normalization, and Skip Connections

A modular architecture for creating multimodal agents


Cross-Domain Few-Shot Classification via Learned Feature-Wise Transformation (ICLR 2020 spotlight)

Explanation-Guided Training for Cross-Domain Few-Shot Classification

Cross-Domain Cross-Set Few-Shot Learning via Learning Compact and Aligned Representations

Meta-Learning with Self-Improving Momentum Target

Combining Domain-Specific Meta-Learners in the Parameter Space for Cross-Domain Few-Shot Classification

Modular Adaptation for Cross-Domain Few-Shot Learning


Appraise evaluation system for manual evaluation of machine translation output

Findings of the 2016 Conference on Machine Translation

Meeting of the Association for Computational Linguistics

Findings of the 2014 Workshop on Statistical Machine Translation

Findings of the 2019 Conference on Machine Translation (WMT19)

Achieving Human Parity on Automatic Chinese to English News Translation

Findings of the 2018 Conference on Machine Translation (WMT18)

Empirical Methods in Natural Language Processing

Findings of the 2015 Workshop on Statistical Machine Translation

Ground Truth for Grammatical Error Correction Metrics

PROCEEDINGS OF THE 53RD ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS (ACL) AND THE 7TH INTERNATIONAL JOINT CONFERENCE ON NATURAL LANGUAGE PROCESSING (IJCNLP), VOL 2

Attaining the Unattainable? Reassessing Claims of Human Parity in Neural Machine Translation

What Level of Quality can Neural Machine Translation Attain on Literary Text?

A Set of Recommendations for Assessing Human-Machine Parity in Language Translation

Journal of Artificial Intelligence Research


ExploreKit: Automatic Feature Generation and Selection

AutoML to Date and Beyond: Challenges and Opportunities

The Technological Emergence of AutoML: A Survey of Performant Software and Applications in the Context of Industry


PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Learning (GAIL). Fast Fisher vector product TRPO.

Proximal Policy Optimization Algorithms

Asynchronous Methods for Deep Reinforcement Learning

Trust Region Policy Optimization

First Order Constrained Optimization in Policy Space

Robust Learning from Observation with Model Misspecification

Imitation Learning in Discounted Linear MDPs without exploration
  assumptions


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

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

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

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

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)

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


A package for designing compact and comprehensive capture probe sets.

Capturing sequence diversity in metagenomes with comprehensive and scalable probe design

Combining genomics and epidemiology to track mumps virus transmission in the United States

Co-circulating mumps lineages at multiple geographic scales


The Effect of Metadata on Scientific Literature Tagging: A Cross-Field Cross-Model Study (WWW'23)

Pre-training Multi-task Contrastive Learning Models for Scientific Literature Understanding


HopSkipJumpAttack: A Query-Efficient Decision-Based Attack

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

ATHENA: A Framework based on Diverse Weak Defenses for Building Adversarial Defense

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

Geometrically Adaptive Dictionary Attack on Face Recognition

Evading Black-box Classifiers Without Breaking Eggs


Relationship and Entity Extraction Evaluation Dataset

NER-BERT: A Pre-trained Model for Low-Resource Entity Tagging

Transfer Learning for Entity Recognition of Novel Classes

International Conference on Computational Linguistics

SeqGPT: An Out-of-the-box Large Language Model for Open Domain Sequence Understanding

Leveraging HTML in Free Text Web Named Entity Recognition


Implementation of "Intensity-Free Learning of Temporal Point Processes" (Spotlight @ ICLR 2020)

EasyTPP: Towards Open Benchmarking Temporal Point Processes

TppFaaS: Modeling Serverless Functions Invocations via Temporal Point Processes

On the Predictive Accuracy of Neural Temporal Point Process Models for Continuous-time Event Data

An Empirical Study: Extensive Deep Temporal Point Process

Decoupled Marked Temporal Point Process using Neural Ordinary Differential Equations


Official implementation of the Generalized Wasserstein Dice Loss in PyTorch

Generalised Dice overlap as a deep learning loss function for highly unbalanced segmentations

Generalised Wasserstein Dice Score for Imbalanced Multi-class Segmentation Using Holistic Convolutional Networks

Generalized Wasserstein Dice Score, Distributionally Robust Deep Learning, and Ranger for Brain Tumor Segmentation: BraTS 2020 Challenge

Comparative study of deep learning methods for the automatic segmentation of lung, lesion and lesion type in CT scans of COVID-19 patients

Generalized Wasserstein Dice Loss, Test-time Augmentation, and Transformers for the BraTS 2021 challenge


Official implementation in PyTorch of SASNet as described in "To Choose or to Fuse? Scale Selection for Crowd Counting"

Rethinking Counting and Localization in Crowds: A Purely Point-Based Framework

THIRTY-FIFTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, THIRTY-THIRD CONFERENCE ON INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE AND THE ELEVENTH SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE

Uniformity in Heterogeneity: Diving Deep into Count Interval Partition for Crowd Counting


Neural Blind Deconvolution Using Deep Priors (CVPR 2020)

GibbsDDRM: A Partially Collapsed Gibbs Sampler for Solving Blind Inverse Problems with Denoising Diffusion Restoration

Unrolled Variational Bayesian Algorithm for Image Blind Deconvolution

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


[ICLR'21] Neural Pruning via Growing Regularization (PyTorch)

Pruning Filters for Efficient ConvNets

Trainability Preserving Neural Pruning

Why is the State of Neural Network Pruning so Confusing? On the Fairness, Comparison Setup, and Trainability in Network Pruning


Cross-lingual image captioning

Adding Chinese Captions to Images

International Conference on Multimedia Retrieval

Fluency-Guided Cross-Lingual Image Captioning

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

Harvesting Deep Models for Cross-Lingual Image Annotation

PROCEEDINGS OF THE 15TH INTERNATIONAL WORKSHOP ON CONTENT-BASED MULTIMEDIA INDEXING (CBMI)


Unofficial reimplementation of ECAPA-TDNN for speaker recognition (EER=0.86 for Vox1_O when train only in Vox2)

SASV 2022: The First Spoofing-Aware Speaker Verification Challenge

SASV Challenge 2022: A Spoofing Aware Speaker Verification Challenge Evaluation Plan

HLT-NUS SUBMISSION FOR 2020 NIST Conversational Telephone Speech SRE

Baseline Systems for the First Spoofing-Aware Speaker Verification Challenge: Score and Embedding Fusion

Self-Supervised Training of Speaker Encoder With Multi-Modal Diverse Positive Pairs

Prompt-driven Target Speech Diarization

Unifying Cosine and PLDA Back-ends for Speaker Verification

USED: Universal Speaker Extraction and Diarization

Speaker-Aware Anti-Spoofing


[NeurIPS'21] "Ultra-Data-Efficient GAN Training: Drawing A Lottery Ticket First, Then Training It Toughly", Tianlong Chen, Yu Cheng, Zhe Gan, Jingjing Liu, Zhangyang Wang

Differentiable Augmentation for Data-Efficient GAN Training

Data-Efficient GAN Training Beyond (Just) Augmentations: A Lottery Ticket Perspective

Winning Lottery Tickets in Deep Generative Models


(ICCV 2019) Uncertainty-aware Face Representation and Recognition

Probabilistic Face Embeddings

SDD-FIQA: Unsupervised Face Image Quality Assessment with Similarity Distribution Distance

Mitigating dataset harms requires stewardship: Lessons from 1000 papers

CR-FIQA: Face Image Quality Assessment by Learning Sample Relative Classifiability

Improving the Head Pose Variation Problem in Face Recognition for Mobile Robots

Canonical Face Embeddings

State of the Art of Quality Assessment of Facial Images


Dialog State Tracking Challenge 2 & 3 Data

"Do you follow me?": A Survey of Recent Approaches in Dialogue State Tracking

A neural prosody encoder for end-ro-end dialogue act classification

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

A Unifying View On Task-oriented Dialogue Annotation

LREC 2022: THIRTEEN INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION

Définition et détection des incohérences du système dans les dialogues orientés tâche. (We present experiments on automatically detecting inconsistent behavior of task-oriented dialogue systems from the context)


Creative Commons Attribution 4.0 International

Repository for the Bias Benchmark for QA dataset.

Holistic Evaluation of Language Models

BBQ: A Hand-Built Bias Benchmark for Question Answering

DataComp-LM: In search of the next generation of training sets for
  language models

Self-Debiasing Large Language Models: Zero-Shot Recognition and
  Reduction of Stereotypes

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

Eagle: Ethical Dataset Given from Real Interactions

On the Intrinsic Self-Correction Capability of LLMs: Uncertainty and Latent Concept


Unsupervised Latent Tree Induction with Deep Inside-Outside Recursive Autoencoders

The Grammar of Emergent Languages

An Empirical Comparison of Unsupervised Constituency Parsing Methods

Ensemble Distillation for Unsupervised Constituency Parsing

Tree-shape Uncertainty for Analyzing the Inherent Branching Bias of Unsupervised Parsing Models

Proceedings of the 27th Conference on Computational Natural Language Learning (CoNLL)


MuKEA: Multimodal Knowledge Extraction and Accumulation for Knowledge-based Visual Question Answering

OK-VQA: A Visual Question Answering Benchmark Requiring External Knowledge

Knowledge-Routed Visual Question Reasoning: Challenges for Deep Representation Embedding


This is the official repo for paper "CSDS: A Fine-grained Chinese Dataset for Customer Service Dialogue Summarization", accepted by EMNLP 2021

CSDS: A Fine-Grained Chinese Dataset for Customer Service Dialogue Summarization

Other Roles Matter! Enhancing Role-Oriented Dialogue Summarization via Role Interactions

Baichuan2-Sum: Instruction Finetune Baichuan2-7B Model for Dialogue
  Summarization

Enhancing Dialogue Summarization with Topic-Aware Global- and Local- Level Centrality

Benchmarking Large Language Models on CFLUE -- A Chinese Financial
  Language Understanding Evaluation Dataset


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

Low-Resource Machine Translation Training Curriculum Fit for Low-Resource Languages


EfficientNets snapshot

Deep Residual Learning for Image Recognition

EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks

Boosting EfficientNets Ensemble Performance via Pseudo-Labels and Synthetic Images by pix2pixHD for Infection and Ischaemia Classification in Diabetic Foot Ulcers

Pruning Compact ConvNets for Efficient Inference


Source code for "Taming Visually Guided Sound Generation" (Oral at the BMVC 2021)

Neural Discrete Representation Learning

Taming Transformers for High-Resolution Image Synthesis

Taming Visually Guided Sound Generation


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


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

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

Comparative layer-wise analysis of self-supervised speech models

What Do Self-Supervised Speech Models Know About Words?


U-Net: Convolutional Networks for Biomedical Image Segmentation

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

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

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


Repository for MuSiQue: Multi-hop Questions via Single-hop Question Composition, TACL 2022

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

Zero-Shot Relation Extraction via Reading Comprehension

MLQA: Evaluating Cross-lingual Extractive Question Answering

MuSiQue: Multihop Questions via Single-hop Question Composition

LongLLMLingua: Accelerating and Enhancing LLMs in Long Context Scenarios via Prompt Compression

Causal Prompting: Debiasing Large Language Model Prompting based on
  Front-Door Adjustment


Dream to Control: Learning Behaviors by Latent Imagination

Dreaming: Model-based Reinforcement Learning by Latent Imagination without Reconstruction

Bridging Imagination and Reality for Model-Based Deep Reinforcement Learning


MagNet: a Two-Pronged Defense against Adversarial Examples

MagNet and "Efficient Defenses Against Adversarial Attacks" are Not Robust to Adversarial Examples

Better the Devil you Know: An Analysis of Evasion Attacks using Out-of-Distribution Adversarial Examples

On the Limitation of MagNet Defense against L_1-based Adversarial Examples

Liuer Mihou: A Practical Framework for Generating and Evaluating Grey-box Adversarial Attacks against NIDS

Random Spiking and Systematic Evaluation of Defenses Against Adversarial Examples

PROCEEDINGS OF THE TENTH ACM CONFERENCE ON DATA AND APPLICATION SECURITY AND PRIVACY, CODASPY 2020

ON THE UTILITY OF CONDITIONAL GENERATION BASED MUTUAL INFORMATION FOR CHARACTERIZING ADVERSARIAL SUBSPACES


S2VC: A Framework for Any-to-Any Voice Conversion with Self-Supervised Pretrained Representations

Robust universal neural vocoding

Retriever: Learning Content-Style Representation as a Token-Level Bipartite Graph

Identifying Source Speakers for Voice Conversion Based Spoofing Attacks on Speaker Verification Systems

Toward Degradation-Robust Voice Conversion


Keras implementation of ShuffleNet V2

ShuffleNet V2: Practical Guidelines for Efficient CNN Architecture Design

C3AE: Exploring the Limits of Compact Model for Age Estimation

Unsupervised Eyeglasses Removal in the Wild


Boost learning for GNNs from the graph structure under challenging heterophily settings. (NeurIPS'20)

Beyond Homophily in Graph Neural Networks: Current Limitations and Effective Designs

Is Homophily a Necessity for Graph Neural Networks?

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

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

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

Beyond Real-world Benchmark Datasets: An Empirical Study of Node Classification with GNNs

Label-Wise Graph Convolutional Network for Heterophilic Graphs

Unsupervised Network Embedding Beyond Homophily

Simple Truncated SVD based Model for Node Classification on Heterophilic Graphs

A Piece-wise Polynomial Filtering Approach for Graph Neural Networks

Mixture of Weak & Strong Experts on Graphs


(WWW 2021) Source code of PC-GNN

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

Rethinking Graph Neural Networks for Anomaly Detection

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

Improving Generalizability of Graph Anomaly Detection Models via Data Augmentation


A continually expanding collection of cancer genomics notes and data

Robust enumeration of cell subsets from tissue expression profiles

GEPIA: a web server for cancer and normal gene expression profiling and interactive analyses

Inferring tumour purity and stromal and immune cell admixture from expression data

UALCAN: A Portal for Facilitating Tumor Subgroup Gene Expression and Survival Analyses

GEPIA2: an enhanced web server for large-scale expression profiling and interactive analysis

Genomics of Drug Sensitivity in Cancer (GDSC): a resource for therapeutic biomarker discovery in cancer cells

Mutational landscape of metastatic cancer revealed from prospective clinical sequencing of 10,000 patients

The prognostic landscape of genes and infiltrating immune cells across human cancers

Next-generation characterization of the Cancer Cell Line Encyclopedia

Classification and Mutation Prediction from Non-Small Cell Lung Cancer Histopathology Images using Deep Learning


Deep Closest Point: Learning Representations for Point Cloud Registration

PRNet: Self-Supervised Learning for Partial-to-Partial Registration

Fast and Robust Iterative Closest Point

IEEE transactions on pattern analysis and machine intelligence

Neural Shape Mating: Self-Supervised Object Assembly with Adversarial Shape Priors

End-to-End 3D Point Cloud Learning for Registration Task Using Virtual Correspondences

A Robust Loss for Point Cloud Registration

Point Cloud Registration Based on Multiparameter Functional

Point-based metric and topological localisation between lidar and overhead imagery

PosDiffNet: Positional Neural Diffusion for Point Cloud Registration in a Large Field of View with Perturbations


Multi-temporal land cover classification. Source code and evaluation of IJGI 2018 journal publication

Multi-Temporal Land Cover Classification with Sequential Recurrent Encoders

ISPRS International Journal of Geo-Information

Crop mapping from image time series: deep learning with multi-scale label hierarchies

Convolutional LSTMs for Cloud-Robust Segmentation of Remote Sensing Imagery

Semi-Supervised Convolutional Long Short-Term Memory Neural Networks for Time Series Land Cover Classification

A systematic review of the use of Deep Learning in Satellite Imagery for Agriculture


Open source code for ACL 2020 Paper "Dynamic Fusion Network for Multi-Domain End-to-end Task-Oriented Dialog"

Global-to-local Memory Pointer Networks for Task-Oriented Dialogue

Learning Knowledge Bases with Parameters for Task-Oriented Dialogue Systems

Intention Reasoning Network for Multi-Domain End-to-end Task-Oriented Dialogue


Graph Neural Networks for Social Recommendation, WWW'19

Graph Learning based Recommender Systems: A Review

Deep Adversarial Social Recommendation

Attentive Social Recommendation: Towards User And Item Diversities


[IJCAI-21] "Time-Series Representation Learning via Temporal and Contextual Contrasting"

TS2Vec: Towards Universal Representation of Time Series

CoST: Contrastive Learning of Disentangled Seasonal-Trend Representations for Time Series Forecasting

Self-Supervised Contrastive Representation Learning for Semi-Supervised Time-Series Classification

A Survey on Time-Series Pre-Trained Models

Utilizing Expert Features for Contrastive Learning of Time-Series Representations

Contrast Everything: A Hierarchical Contrastive Framework for Medical Time-Series

A Co-training Approach for Noisy Time Series Learning

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

MBrain: A Multi-channel Self-Supervised Learning Framework for Brain Signals


This is the code for ACL paper "Cross-lingual Knowledge Graph Alignment via Graph Matching Neural Network"

SelfKG: Self-Supervised Entity Alignment in Knowledge Graphs

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

Knowledge Graph Entity Alignment with Graph Convolutional Networks: Lessons Learned

A Self-supervised Method for Entity Alignment

A Critical Assessment of State-of-the-Art in Entity Alignment


An easy to use, user-friendly and efficient code for extracting OpenAI CLIP (Global/Grid) features from image and text respectively.

How Much Can CLIP Benefit Vision-and-Language Tasks?

Multimodal Chain-of-Thought Reasoning in Language Models

X-modaler: A Versatile and High-performance Codebase for Cross-modal Analytics


Using advances in generative modeling to learn reward functions from unlabeled videos.

VideoGPT: Video Generation using VQ-VAE and Transformers

Mastering Diverse Domains through World Models

Video Prediction Models as Rewards for Reinforcement Learning

Diffusion Reward: Learning Rewards via Conditional Video Diffusion


Identify and find telomeres, or telomeric repeats in a genome.

The complete reference genome for grapevine (Vitis vinifera L.) genetics and breeding

Telomere-to-telomere haplotype-resolved reference genome reveals subgenome divergence and disease resistance in triploid Cavendish banana

The phased telomere-to-telomere reference genome of Musa acuminata, a main contributor to banana cultivars

Telomere-to-telomere pear (Pyrus pyrifolia) reference genome reveals segmental and whole genome duplication driving genome evolution

Phased gap-free genome assembly of octoploid cultivated strawberry illustrates the genetic and epigenetic divergence among subgenomes

Gapless genome assembly of East Asian finless porpoise

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

The haplotype-resolved telomere-to-telomere carnation (Dianthus caryophyllus) genome reveals the correlation between genome architecture and gene expression

Representing true plant genomes: haplotype-resolved hybrid pepper genome with trio-binning

Comparative Genomic Analysis of Colletotrichum lini Strains with Different Virulence on Flax


Implementation of the ESIM model for natural language inference with PyTorch

Enhanced LSTM for Natural Language Inference

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

Is BERT Really Robust? A Strong Baseline for Natural Language Attack on Text Classification and Entailment

Breaking NLI Systems with Sentences that Require Simple Lexical Inferences

How Large a Vocabulary Does Text Classification Need? A Variational Approach to Vocabulary Selection

An Empirical Study on Model-agnostic Debiasing Strategies for Robust Natural Language Inference

HypoNLI: Exploring the Artificial Patterns of Hypothesis-only Bias in Natural Language Inference

Discriminatively-Tuned Generative Classifiers for Robust Natural Language Inference


pytorch implementation of the different DeepGaze models

Deep Gaze I: Boosting Saliency Prediction with Feature Maps Trained on ImageNet

DeepGaze IIE: Calibrated prediction in and out-of-domain for state-of-the-art saliency modeling

DeepGaze III: Modeling free-viewing human scanpaths with deep learning

Training on Foveated Images Improves Robustness to Adversarial Attacks


Covariance toolbox for matlab, including riemannian geometry

A Plug&Play P300 BCI Using Information Geometry

EEG-Based User Reaction Time Estimation Using Riemannian Geometry Features

Towards Adaptive Classification using Riemannian Geometry approaches in Brain-Computer Interfaces

Customizing skills for assistive robotic manipulators, an inverse reinforcement learning approach with error-related potentials

Zenodo (CERN European Organization for Nuclear Research)

Gaze training supports self-organization of movement coordination in children with developmental coordination disorder

An Unsupervised Multichannel Artifact Detection Method for Sleep EEG Based on Riemannian Geometry


[NeurIPS 2020] “ Robust Pre-Training by Adversarial Contrastive Learning”, Ziyu Jiang, Tianlong Chen, Ting Chen, Zhangyang Wang

Can contrastive learning avoid shortcut solutions?

A Unified Contrastive Energy-based Model for Understanding the Generative Ability of Adversarial Training

Enhancing Adversarial Contrastive Learning via Adversarial Invariant Regularization

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

Effective Targeted Attacks for Adversarial Self-Supervised Learning


A repository in preparation for open-sourcing lottery ticket hypothesis code.

The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks

Linear Mode Connectivity and the Lottery Ticket Hypothesis

Stabilizing the Lottery Ticket Hypothesis

The Early Phase of Neural Network Training

Training BatchNorm and Only BatchNorm: On the Expressive Power of Random Features in CNNs

Learning Neural Network Subspaces

A Winning Hand: Compressing Deep Networks Can Improve Out-Of-Distribution Robustness

Prospect Pruning: Finding Trainable Weights at Initialization using Meta-Gradients

The Elastic Lottery Ticket Hypothesis

Revisiting "Qualitatively Characterizing Neural Network Optimization Problems"


Edge server, user dataset for Edge Computing research

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

Online Collaborative Data Caching in Edge Computing

IEEE transactions on parallel and distributed systems

Cost-Effective App Data Distribution in Edge Computing

IEEE Transactions on Parallel and Distributed Systems

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

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

Cost-Effective App User Allocation in an Edge Computing Environment

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

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

Robustness-oriented k Edge Server Placement

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

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


Repository for NAACL 2019 paper on Citation Intent prediction

Structural Scaffolds for Citation Intent Classification in Scientific Publications

The Semantic Scholar Open Data Platform

A meta-analysis of semantic classification of citations

CiteBench: A benchmark for Scientific Citation Text Generation


Deep Graph Infomax (https://arxiv.org/abs/1809.10341)

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 Graph Infomax

Deep Learning on Graphs: A Survey

Graph Self-Supervised Learning: A Survey

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

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

Anomaly Detection on Attributed Networks via Contrastive Self-Supervised Learning

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

GraphZoom: A multi-level spectral approach for accurate and scalable graph embedding


Unofficial PyTorch Reimplementation of RandAugment.

RandAugment: Practical automated data augmentation with a reduced search space

Fast AutoAugment

HANA: A HAndwritten NAme Database for Offline Handwritten Text Recognition

Model-Based Domain Generalization

Convolutional Dynamic Alignment Networks for Interpretable Classifications

IEEE Transactions on Computational Social Systems

CNN-based event classification of alpha-decay events in nuclear emulsion

Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment

Robust Training of Social Media Image Classification Models for Rapid Disaster Response

Optimising for Interpretability: Convolutional Dynamic Alignment Networks

Practical Assessment of Generalization Performance Robustness for Deep Networks via Contrastive Examples


Example implementation of the DeepStack algorithm for no-limit Leduc poker

DeepStack: Expert-Level Artificial Intelligence in No-Limit Poker

Deep RTS: A Game Environment for Deep Reinforcement Learning in Real-Time Strategy Games

OpenHoldem: A Benchmark for Large-Scale Imperfect-Information Game Research


TLDR is an unsupervised dimensionality reduction method that combines neighborhood embedding learning with the simplicity and effectiveness of recent self-supervised learning losses

Barlow Twins: Self-Supervised Learning via Redundancy Reduction

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

TLDR: Twin Learning for Dimensionality Reduction


Fine-Grained Entity Recognizer

A Survey on Deep Learning for Named Entity Recognition

Design Challenges for Entity Linking

Transactions of the Association for Computational Linguistics

Multi-level Representations for Fine-Grained Typing of Knowledge Base Entities

An Empirical Study on Fine-Grained Named Entity Recognition

International Conference on Computational Linguistics

Automatically Annotated Turkish Corpus for Named Entity Recognition and Text Categorization using Large-Scale Gazetteers


Mastering Atari with Discrete World Models

Mastering Visual Continuous Control: Improved Data-Augmented Reinforcement Learning

Reinforcement Learning with Action-Free Pre-Training from Videos

TransDreamer: Reinforcement Learning with Transformer World Models

DreamerPro: Reconstruction-Free Model-Based Reinforcement Learning with Prototypical Representations

Structured World Models from Human Videos

Curiosity-Driven Exploration via Latent Bayesian Surprise

Exploration and preference satisfaction trade-off in reward-free learning

DreamingV2: Reinforcement Learning with Discrete World Models without Reconstruction

Equivariant Reinforcement Learning under Partial Observability


Performance Modeling and Evaluation of Distributed Deep Learning Frameworks on GPUs

swCaffe: a Parallel Framework for Accelerating Deep Learning Applications on Sunway TaihuLight

Survey on Software Tools that Implement Deep Learning Algorithms on Intel/x86 and IBM/Power8/Power9 Platforms

Supercomputing Frontiers and Innovations


Fast, modular reference implementation and easy training of Semantic Segmentation algorithms in PyTorch.

BiSeNet: Bilateral Segmentation Network for Real-time Semantic Segmentation

Learning a Discriminative Feature Network for Semantic Segmentation

Multi-Task Pruning for Semantic Segmentation Networks

MTP: Multi-Task Pruning for Efficient Semantic Segmentation Networks

IEEE International Conference on Multimedia and Expo


A Tensorflow Tiny Face Detector, implementing "Finding Tiny Faces"

Finding Tiny Faces

Few-Shot Adaptive Gaze Estimation

Can we still avoid automatic face detection?


The winning solution to the The Higgs Boson Machine Learning Challenge.

Proceedings of the 2020 Scheme and Functional Programming Workshop

On the impact of selected modern deep-learning techniques to the performance and celerity of classification models in an experimental high-energy physics use case

Advances in Multi-Variate Analysis Methods for New Physics Searches at the Large Hadron Collider


A Tensorflow implementation of the Deep Listwise Context Model (DLCM) for ranking refinement.

Learning a Deep Listwise Context Model for Ranking Refinement

International ACM SIGIR Conference on Research and Development in Information Retrieval

SetRank: Learning a Permutation-Invariant Ranking Model for Information Retrieval

A Domain Generalization Perspective on Listwise Context Modeling


MGTBench: Benchmarking Machine-Generated Text Detection


TorchCV: a PyTorch vision library mimics ChainerCV

Transferable Adversarial Attacks for Image and Video Object Detection

Multidomain Document Layout Understanding using Few Shot Object Detection

Leveraging Outdoor Webcams for Local Descriptor Learning

Improving the HardNet Descriptor


Noise or Signal: The Role of Image Backgrounds in Object Recognition

Time Is MattEr: Temporal Self-supervision for Video Transformers

Characterizing and Improving the Robustness of Self-Supervised Learning through Background Augmentations

The Entropy Enigma: Success and Failure of Entropy Minimization


Learned representation for Offline Handwritten Signature Verification. Models and code to extract features from signature images.

Learning features for offline handwritten signature verification using deep convolutional neural networks

Fixed-sized representation learning from offline handwritten signatures of different sizes

International Journal on Document Analysis and Recognition (IJDAR)

A white-box analysis on the writer-independent dichotomy transformation applied to offline handwritten signature verification


Multi-Objective Molecule Generation using Interpretable Substructures (ICML 2020)

MARS: Markov Molecular Sampling for Multi-objective Drug Discovery

Graph-based Molecular Representation Learning

How Much Space Has Been Explored? Measuring the Chemical Space Covered by Databases and Machine-Generated Molecules

An efficient graph generative model for navigating ultra-large combinatorial synthesis libraries

Drug Discovery with Dynamic Goal-aware Fragments


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

Automatic differentiation in machine learning: a survey

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

Automatic Differentiation of Algorithms for Machine Learning


Single-Path NAS: Designing Hardware-Efficient ConvNets in less than 4 Hours

Single-Path Mobile AutoML: Efficient ConvNet Design and NAS Hyperparameter Optimization

Single-Path NAS: Device-Aware Efficient ConvNet Design


A distributed key-value storage system developed by Alibaba Group

Practice on Long Sequential User Behavior Modeling for Click-Through Rate Prediction

Truncation-Free Matching System for Display Advertising at Alibaba


CVPR 2022

Diffusion Models Beat GANs on Image Synthesis

Perception Prioritized Training of Diffusion Models

Towards the Detection of Diffusion Model Deepfakes

Multi-Architecture Multi-Expert Diffusion Models

Addressing Negative Transfer in Diffusion Models

Denoising Task Routing for Diffusion Models

Enabling Local Editing in Diffusion Models by Joint and Individual Component Analysis


Multi-Agent Constrained Policy Optimisation (MACPO; MAPPO-L).

The Surprising Effectiveness of PPO in Cooperative, Multi-Agent Games

Is Independent Learning All You Need in the StarCraft Multi-Agent Challenge?

Trust Region Policy Optimisation in Multi-Agent Reinforcement Learning

Safe Multi-agent Reinforcement Learning with Natural Language
  Constraints


A fast python implementation of DTU MVS 2014 evaluation

MonoSDF: Exploring Monocular Geometric Cues for Neural Implicit Surface Reconstruction

Differentiable Blocks World: Qualitative 3D Decomposition by Rendering Primitives

PSDF: Prior-Driven Neural Implicit Surface Learning for Multi-view Reconstruction


Neural Attention Model for Abstractive Summarization

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

Abstractive Sentence Summarization with Attentive Recurrent Neural Networks

North American Chapter of the Association for Computational Linguistics

Pointing the Unknown Words

Faithful to the Original: Fact Aware Neural Abstractive Summarization

Selective Encoding for Abstractive Sentence Summarization

Revisiting Self-Training for Neural Sequence Generation

Controlling Output Length in Neural Encoder-Decoders

Language as a Latent Variable: Discrete Generative Models for Sentence Compression

Neural Headline Generation on Abstract Meaning Representation

Empirical Methods in Natural Language Processing

Positional Encoding to Control Output Sequence Length


Codebase for VIME: Extending the Success of Self- and Semi-supervised Learning to Tabular Domain - NeurIPS 2020

TransTab: Learning Transferable Tabular Transformers Across Tables

Towards Cross-Table Masked Pretraining for Web Data Mining

SPADE: Semi-supervised Anomaly Detection under Distribution Mismatch


Code example for the ICLR 2018 oral paper

Training and Inference with Integers in Deep Neural Networks

PocketNN: Integer-only Training and Inference of Neural Networks via Direct Feedback Alignment and Pocket Activations in Pure C++


A Neural Corpus Indexer for Document Retrieval

How Does Generative Retrieval Scale to Millions of Passages?

Listwise Generative Retrieval Models via a Sequential Learning Process


RAVEN: A Dataset for Relational and Analogical Visual rEasoNing

Few-shot Visual Reasoning with Meta-analogical Contrastive Learning

A Cognitively-Inspired Neural Architecture for Visual Abstract Reasoning Using Contrastive Perceptual and Conceptual Processing

Computational Models of Solving Raven's Progressive Matrices: A Comprehensive Introduction