OSMnx is a Python package to easily download, model, analyze, and visualize street networks and other geospatial features from OpenStreetMap.

OSMnx: New Methods for Acquiring, Constructing, Analyzing, and Visualizing Complex Street Networks

Fundamentals of spreading processes in single and multilayer complex networks

Quantifying the spatial homogeneity of urban road networks via graph neural networks

Street Network Models and Measures for Every U.S. City, County, Urbanized Area, Census Tract, and Zillow-Defined Neighborhood

Crash and disengagement data of autonomous vehicles on public roads in California

The Right Tools for the Job: The Case for Spatial Science Tool-Building

Modelling cyclists’ route choice using Strava and OSMnx: A case study of the City of Glasgow

Transportation Research Interdisciplinary Perspectives

Methods and Measures for Analyzing Complex Street Networks and Urban Form

Predicting Venue Popularity Using Crowd-Sourced and Passive Sensor Data

Rational Neural Networks for Approximating Jump Discontinuities of Graph Convolution Operator


Super-Efficient RLHF Training of LLMs with Parameter Reallocation

DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open
  Language Models

SimPO: Simple Preference Optimization with a Reference-Free Reward

Is DPO Superior to PPO for LLM Alignment? A Comprehensive Study

ReMax: A Simple, Effective, and Efficient Reinforcement Learning Method for Aligning Large Language Models

ReaLHF: Optimized RLHF Training for Large Language Models through Parameter Reallocation


Actualmed COVID-19 Chest X-ray Dataset Initiative

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

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

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

FLOP: Federated Learning on Medical Datasets using Partial Networks

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

CovFrameNet: An Enhanced Deep Learning Framework for COVID-19 Detection

IEEE access : practical innovations, open solutions

COVID-Net CXR-2: An Enhanced Deep Convolutional Neural Network Design for Detection of COVID-19 Cases From Chest X-ray Images

Convolutional neural networks for the diagnosis and prognosis of the coronavirus disease pandemic

Visual computing for industry, biomedicine, and art

Triage of Potential COVID-19 Patients from Chest X-ray Images using Hierarchical Convolutional Networks

A Review of Recent Advances in Deep Learning Models for Chest Disease Detection Using Radiography


Repo to accompany paper on Meta Learning with Implicit Gradients (NeurIPS 2019)

Meta-Learning with Implicit Gradients

Continuous-Time Meta-Learning with Forward Mode Differentiation

A Representation Learning Perspective on the Importance of Train-Validation Splitting in Meta-Learning

Dynamic Kernel Selection for Improved Generalization and Memory Efficiency in Meta-learning


Recent Advances in Open Set Recognition: A Survey

IEEE transactions on pattern analysis and machine intelligence

Breaking the Closed World Assumption in Text Classification

North American Chapter of the Association for Computational Linguistics

Open-world Machine Learning: Applications, Challenges, and Opportunities

Collective Decision for Open Set Recognition

IEEE Transactions on Knowledge and Data Engineering

Open Set Domain Adaptation using Optimal Transport


doublehelix obfuscates Ruby codes in Double-helix style

Estimating Algorithmic Information Using Quantum Computing for Genomics Applications

QKSA: Quantum Knowledge Seeking Agent

Quines are the Fittest Programs - Large Nesting Algorithmic Probability Converges to Constructors


Assessing syntactic abilities of BERT

Assessing the Ability of LSTMs to Learn Syntax-Sensitive Dependencies

Assessing BERT's Syntactic Abilities

Cross-Linguistic Syntactic Evaluation of Word Prediction Models

Representations of Syntax [MASK] Useful: Effects of Constituency and Dependency Structure in Recursive LSTMs

Meeting of the Association for Computational Linguistics

Finding patterns in Knowledge Attribution for Transformers


Conditional Theorem Proving

Differentiable Reasoning on Large Knowledge Bases and Natural Language

Learning Reasoning Strategies in End-to-End Differentiable Proving

Neuro-Symbolic Inductive Logic Programming with Logical Neural Networks


This repository contains the code to reproduce the core results from the paper "Adversarial Variational Bayes: Unifying Variational Autoencoders and Generative Adversarial Networks".

Reliable Estimation of KL Divergence using a Discriminator in Reproducing Kernel Hilbert Space

Importance Weighted Adversarial Variational Autoencoders for Spike Inference from Calcium Imaging Data


Improved Adversarial Training via Learned Optimizer

Amata: An Annealing Mechanism for Adversarial Training Acceleration

Comment on "Adv-BNN: Improved Adversarial Defense through Robust Bayesian Neural Network"


Learning Sparse Neural Networks through L0 regularization

Learning Sparse Networks Using Targeted Dropout

FLOPs as a Direct Optimization Objective for Learning Sparse Neural Networks

Position-based Scaled Gradient for Model Quantization and Pruning

Dep-L_0: Improving L_0-based Network Sparsification via Dependency Modeling

Model Compression via Position-Based Scaled Gradient


Machine learning in solar physics

Learning to do multiframe wavefront sensing unsupervised: Applications to blind deconvolution

Learning to do multiframe blind deconvolution unsupervisedly.


code for TCL: Vision-Language Pre-Training with Triple Contrastive Learning, CVPR 2022

MixGen: A New Multi-Modal Data Augmentation

SuS-X: Training-Free Name-Only Transfer of Vision-Language Models

Are Multimodal Models Robust to Image and Text Perturbations?


Query Resolution for Conversational Search with Limited Supervision

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

Multi-Stage Conversational Passage Retrieval: An Approach to Fusing Term Importance Estimation and Neural Query Rewriting

Query Performance Prediction: From Ad-hoc to Conversational Search

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval


Granger causality discovery for neural networks.

A General Iterative Shrinkage and Thresholding Algorithm for Non-convex Regularized Optimization Problems

Neural Granger Causality

Amortized Causal Discovery: Learning to Infer Causal Graphs from Time-Series Data

Economy Statistical Recurrent Units For Inferring Nonlinear Granger Causality

Interpretable Models for Granger Causality Using Self-explaining Neural Networks

Neural graphical modelling in continuous-time: consistency guarantees and algorithms

CUTS: Neural Causal Discovery from Irregular Time-Series Data

Cardinality-Regularized Hawkes-Granger Model

CausalTime: Realistically Generated Time-series for Benchmarking of Causal Discovery


Reinforcement Learning for Gym CarRacing-v0 with PyTorch

Neuroevolution of Self-Interpretable Agents

Genetic and Evolutionary Computation Conference

Replay-Guided Adversarial Environment Design

Grounding Aleatoric Uncertainty for Unsupervised Environment Design


Symmetric DUST for finding low-complexity regions in DNA sequences

A draft human pangenome reference

A pangenome reference of 36 Chinese populations

Within-host diversity improves phylogenetic and transmission reconstruction of SARS-CoV-2 outbreaks


Image Editing Anything

A Comprehensive Survey on Segment Anything Model for Vision and Beyond

A Survey on Segment Anything Model (SAM): Vision Foundation Model Meets Prompt Engineering

Segment Anything in Non-Euclidean Domains: Challenges and Opportunities


Collection of self-supervised models for speaker and language recognition tasks.

Representation Learning with Contrastive Predictive Coding

Learning Speaker Representations with Mutual Information

Self-supervised Text-independent Speaker Verification using Prototypical Momentum Contrastive Learning


Starter kit for the black box optimization challenge at Neurips 2020

A Tutorial on Bayesian Optimization

HEBO Pushing The Limits of Sample-Efficient Hyperparameter Optimisation

FLoRA: Single-shot Hyper-parameter Optimization for Federated Learning

AntBO: Towards Real-World Automated Antibody Design with Combinatorial Bayesian Optimisation

Better call Surrogates: A hybrid Evolutionary Algorithm for Hyperparameter optimization

GPU Accelerated Exhaustive Search for Optimal Ensemble of Black-Box Optimization Algorithms

Single-shot Hyper-parameter Optimization for Federated Learning: A General Algorithm & Analysis


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

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

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

Explaining Deep Neural Networks

A Deep Explainable Model for Fault Prediction Using IoT Sensors

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

Copula for Instance-wise Feature Selection and Ranking


repository for Universal Domain Adaptation through Self-supervision

Universal Domain Adaptation through Self Supervision

Tune it the Right Way: Unsupervised Validation of Domain Adaptation via Soft Neighborhood Density

Domain Adaptation under Open Set Label Shift

Unknown-Aware Domain Adversarial Learning for Open-Set Domain Adaptation

Universal Domain Adaptation from Foundation Models: A Baseline Study

Synthetic Source Universal Domain Adaptation through Contrastive Learning


Inria 3rd-way proposal for a European Exposure Notification System

Decentralized Privacy-Preserving Proximity Tracing

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

Hansel and Gretel and the Virus: Privacy Conscious Contact Tracing


Repository for the paper "Optimal Subarchitecture Extraction for BERT"

Optimal Subarchitecture Extraction For BERT

An Algorithm for Learning Smaller Representations of Models With Scarce Data

An Approximation Algorithm for Optimal Subarchitecture Extraction


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

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

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

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

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

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


Flexible simulation package for optical neural networks

Reprogrammable Electro-Optic Nonlinear Activation Functions for Optical Neural Networks

IEEE Journal of Selected Topics in Quantum Electronics

Efficient training and design of photonic neural network through neuroevolution

Photonic-aware neural networks


Face Forensics in the Wild

Countering Malicious DeepFakes: Survey, Battleground, and Horizon

Face Forensics in the Wild

Robust Deepfake On Unrestricted Media: Generation And Detection


PyTorch Implementation of DCGAN trained on the CelebA dataset.

Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks

NIPS 2016 Tutorial: Generative Adversarial Networks

HiGitClass: Keyword-Driven Hierarchical Classification of GitHub Repositories

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

Backpropagating through Fréchet Inception Distance

Fake or Compromised? Making Sense of Malicious Clients in Federated
  Learning


Unsupervised Reference-Free Summary Quality Evaluation via Contrastive Learning

SueNes: A Weakly Supervised Approach to Evaluating Single-Document Summarization via Negative Sampling

PrefScore: Pairwise Preference Learning for Reference-free Summarization Quality Assessment

International Conference on Computational Linguistics


A repository for surgical action triplet dataset. Data are videos of laparoscopic cholecystectomy that have been annotated with <instrument, verb, target> labels for every surgical fine-grained activity.

EndoNet: A Deep Architecture for Recognition Tasks on Laparoscopic Videos

Rendezvous: Attention Mechanisms for the Recognition of Surgical Action Triplets in Endoscopic Videos

Recognition of Instrument-Tissue Interactions in Endoscopic Videos via Action Triplets

CholecTriplet2021: A benchmark challenge for surgical action triplet recognition

Data Splits and Metrics for Method Benchmarking on Surgical Action Triplet Datasets

CholecTriplet2022: Show me a tool and tell me the triplet -- an endoscopic vision challenge for surgical action triplet detection


Algorithms for Privacy-Preserving Machine Learning in JAX

Unlocking High-Accuracy Differentially Private Image Classification through Scale

How to DP-fy ML: A Practical Guide to Machine Learning with Differential Privacy

Unlocking Accuracy and Fairness in Differentially Private Image Classification

DP-Mix: Mixup-based Data Augmentation for Differentially Private Learning

Equivariant Differentially Private Deep Learning: Why DP-SGD Needs Sparser Models

Nearly Tight Black-Box Auditing of Differentially Private Machine Learning


RNNLG is an open source benchmark toolkit for Natural Language Generation (NLG) in spoken dialogue system application domains. It is released by Tsung-Hsien (Shawn) Wen from Cambridge Dialogue Systems Group under Apache License 2.0.

Composite Task-Completion Dialogue Policy Learning via Hierarchical Deep Reinforcement Learning

Creating Training Corpora for NLG Micro-Planners

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

Semantic Noise Matters for Neural Natural Language Generation

A Deep Ensemble Model with Slot Alignment for Sequence-to-Sequence Natural Language Generation

Natural Language Generation for Spoken Dialogue System using RNN Encoder-Decoder Networks

Conference on Computational Natural Language Learning

Neural-based Natural Language Generation in Dialogue using RNN Encoder-Decoder with Semantic Aggregation

Semantic Refinement GRU-based Neural Language Generation for Spoken Dialogue Systems

Slot-consistent NLG for Task-oriented Dialogue Systems with Iterative Rectification Network

Attention Is Indeed All You Need: Semantically Attention-Guided Decoding for Data-to-Text NLG

Dual Latent Variable Model for Low-Resource Natural Language Generation in Dialogue Systems


Deep contextualized word representations

Improving Chemical Named Entity Recognition in Patents with Contextualized Word Embeddings

ChEMU 2020: Natural Language Processing Methods Are Effective for Information Extraction From Chemical Patents

Frontiers in research metrics and analytics

Fine-Grained Chemical Entity Typing with Multimodal Knowledge Representation


The implementation of the papers on dual learning of natural language understanding and generation. (ACL2019,2020; Findings of EMNLP 2020)

Dual Supervised Learning for Natural Language Understanding and Generation

Towards Unsupervised Language Understanding and Generation by Joint Dual Learning

Dual Inference for Improving Language Understanding and Generation


A collection of GNN-based fake news detection models.

Rumor Detection on Social Media with Bi-Directional Graph Convolutional Networks

Fake News Detection on Social Media using Geometric Deep Learning

A Comprehensive Survey on Graph Anomaly Detection with Deep Learning

User Preference-aware Fake News Detection

Graph Neural Networks with Continual Learning for Fake News Detection from Social Media


code for "Residual Flows for Invertible Generative Modeling".

Invertible Residual Networks

Understanding and Mitigating Exploding Inverses in Invertible Neural Networks

Exposing flaws of generative model evaluation metrics and their unfair treatment of diffusion models

ELF: Exact-Lipschitz Based Universal Density Approximator Flow


Official repository to release the code and datasets in the paper "Mining Dual Emotion for Fake News Detection", WWW 2021.

Sentiment Analysis for Fake News Detection

Memory-Guided Multi-View Multi-Domain Fake News Detection

Integrating Pattern- and Fact-based Fake News Detection via Model Preference Learning

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

Exploiting User Comments for Early Detection of Fake News Prior to Users' Commenting


weedNet: Dense semantic weed classification using multispectral images and MAV for smart farming

weedNet: Dense Semantic Weed Classification Using Multispectral Images and MAV for Smart Farming

A Survey of Deep Learning Techniques for Weed Detection from Images

Deep learning techniques to classify agricultural crops through UAV imagery: a review

Deep learning techniques for in-crop weed recognition in large-scale grain production systems: a review


Multivariate Time-Series Anomaly Detection with GNN.

Graph Neural Network-Based Anomaly Detection in Multivariate Time Series

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

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


Semi-Supervised Multi-aspect Detection of Misinformation using Hierarchical Joint Decomposition

Initial Study Using Electrocardiogram for Authentication and Identification

Algorithms for Approximate Subtropical Matrix Factorization

One-time learning in a biologically-inspired Salience-affected Artificial Neural Network (SANN)

Comparing feedforward neural networks using independent component analysis on hidden units


Meta-Learning Acquisition Functions for Transfer Learning in Bayesian Optimization

Few-Shot Bayesian Optimization with Deep Kernel Surrogates

Pre-trained Gaussian Processes for Bayesian Optimization

Automatic prior selection for meta Bayesian optimization with a case study on tuning deep neural network optimizers.


Preference Transformer: Modeling Human Preferences using Transformers for RL (ICLR2023 Accepted)

Uni-RLHF: Universal Platform and Benchmark Suite for Reinforcement
  Learning with Diverse Human Feedback

PEARL: Zero-shot Cross-task Preference Alignment and Robust Reward Learning for Robotic Manipulation

Efficient Preference-based Reinforcement Learning via Aligned Experience Estimation


[MICCAI'20] Shape-aware Meta-learning for Generalizing Prostate MRI Segmentation to Unseen Domains & A Well-organized Multi-site Dataset

MS-Net: Multi-Site Network for Improving Prostate Segmentation With Heterogeneous MRI Data

A Lifelong Learning Approach to Brain MR Segmentation Across Scanners and Protocols

The use of deep learning in interventional radiotherapy (brachytherapy): a review with a focus on open source and open data


Code associated with the paper **Two are Better Than One: Joint Entity and Relation Extraction with Table-Sequence Encoders**, at EMNLP 2020

Two are Better than One: Joint Entity and Relation Extraction with Table-Sequence Encoders

Separating Retention from Extraction in the Evaluation of End-to-end Relation Extraction


Implicit Graph Neural Networks

Implicit Graph Neural Networks

On Training Implicit Models

EIGNN: Efficient Infinite-Depth Graph Neural Networks

MGNNI: Multiscale Graph Neural Networks with Implicit Layers

Attributed Multi-order Graph Convolutional Network for Heterogeneous Graphs


Open source code for EMNLP 2020 Findings Paper "AGIF: An Adaptive Graph-Interactive Framework for Joint Multiple Intent Detection and Slot Filling"

GL-GIN: Fast and Accurate Non-Autoregressive Model for Joint Multiple Intent Detection and Slot Filling

A Dynamic Graph Interactive Framework with Label-Semantic Injection for Spoken Language Understanding

Towards Spoken Language Understanding via Multi-level Multi-grained Contrastive Learning

A Transformer-based Threshold-Free Framework for Multi-Intent NLU

Towards Multi-Intent Spoken Language Understanding via Hierarchical Attention and Optimal Transport

THIRTY-EIGHTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, VOL 38 NO 16

Multi-Label Intent Detection via Contrastive Task Specialization of Sentence Encoders

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

MISCA: A Joint Model for Multiple Intent Detection and Slot Filling with Intent-Slot Co-Attention

BlendX: Complex Multi-Intent Detection with Blended Patterns


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

Summarizing Medical Conversations via Identifying Important Utterances

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

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

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


Diagram question answering system described in "A Diagram is Worth a Dozen Images"

A Diagram Is Worth A Dozen Images

Dynamic Graph Generation Network: Generating Relational Knowledge from Diagrams

Beyond LLaVA-HD: Diving into High-Resolution Large Multimodal Models


Code for paper "CrossFit :weight_lifting:: A Few-shot Learning Challenge for Cross-task Generalization in NLP" (https://arxiv.org/abs/2104.08835)

MetaICL: Learning to Learn In Context

OPT-IML: Scaling Language Model Instruction Meta Learning through the Lens of Generalization

CrossFit: A Few-shot Learning Challenge for Cross-task Generalization in NLP


MAB-Malware an open-source reinforcement learning framework to generate AEs for PE malware. We model this problem as a classic multi-armed bandit (MAB) problem, by treating each action-content pair as an independent slot machine.

Efficient Query-Based Attack against ML-Based Android Malware Detection under Zero Knowledge Setting

Creating Valid Adversarial Examples of Malware

Statically Detecting Adversarial Malware through Randomised Chaining


Original dataset release for CIFAR-10H

The 'Problem' of Human Label Variation: On Ground Truth in Data, Modeling and Evaluation

Active label cleaning for improved dataset quality under resource constraints

SemEval-2021 Task 12: Learning with Disagreements

Zenodo (CERN European Organization for Nuclear Research)

Scaling and Disagreements: Bias, Noise, and Ambiguity

Is the Performance of My Deep Network Too Good to Be True? A Direct Approach to Estimating the Bayes Error in Binary Classification

Do humans and machines have the same eyes? Human-machine perceptual differences on image classification


[AAAI 2022] Detecting Human-Object Interactions with Object-Guided Cross-Modal Calibrated Semantics.

RLIP: Relational Language-Image Pre-training for Human-Object Interaction Detection

RLIPv2: Fast Scaling of Relational Language-Image Pre-training


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

Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks

Improved Techniques for Training GANs

Generative Adversarial Networks (GANs)

Towards the Automatic Anime Characters Creation with Generative Adversarial Networks


NAOMI: Non-Autoregressive Multiresolution Sequence Imputation

NRTSI: Non-Recurrent Time Series Imputation

PulseImpute: A Novel Benchmark Task for Pulsative Physiological Signal Imputation

Filling out the missing gaps: Time Series Imputation with Semi-Supervised Learning


TedNet: A Pytorch Toolkit for Tensor Decomposition Networks

Compressing Recurrent Neural Networks with Tensor Ring for Action Recognition

Heuristic rank selection with progressively searching tensor ring network

A Unified Weight Initialization Paradigm for Tensorial Convolutional Neural Networks


vesselNN

Dense Volume-to-Volume Vascular Boundary Detection

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

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

International Parallel and Distributed Processing Symposium

Deep Learning Convolutional Networks for Multiphoton Microscopy Vasculature Segmentation


BERT+Self-attention Encoder ; Biaffine Decoder ; Pytorch Implement

75 Languages, 1 Model: Parsing Universal Dependencies Universally

Simpler but More Accurate Semantic Dependency Parsing

Self-attentive Biaffine Dependency Parsing

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

Dependency Graph Based Chinese Semantic Parsing


A Divergence Minimization Perspective on Imitation Learning Methods

f-IRL: Inverse Reinforcement Learning via State Marginal Matching

SMILe: Scalable Meta Inverse Reinforcement Learning through Context-Conditional Policies

Maximum-Likelihood Inverse Reinforcement Learning with Finite-Time Guarantees


A simple commandline utility to generate grid-based signed distance field (level set) generator from triangle meshes, using code from Robert Bridson's website.

ScanComplete: Large-Scale Scene Completion and Semantic Segmentation for 3D Scans

Learning 3D Shape Completion Under Weak Supervision

International Journal of Computer Vision

Panoptic 3D Scene Reconstruction From a Single RGB Image

RetrievalFuse: Neural 3D Scene Reconstruction with a Database

ExtrudeNet: Unsupervised Inverse Sketch-and-Extrude for Shape Parsing

Neural Collision Detection for Deformable Objects


Parsing Reading Predict Network

Compound Probabilistic Context-Free Grammars for Grammar Induction

Generating Sentences from Disentangled Syntactic and Semantic Spaces

Visually Grounded Neural Syntax Acquisition

Grammar Induction with Neural Language Models: An Unusual Replication

An Empirical Comparison of Unsupervised Constituency Parsing Methods

Span-Based Neural Buffer: Towards Efficient and Effective Utilization of Long-Distance Context for Neural Sequence Models

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

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

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


Source code of paper “A Novel Three-Stage Learning Framework for Low-Resource Knowledge-Grounded Dialogue Generation”

A Three-Stage Learning Framework for Low-Resource Knowledge-Grounded Dialogue Generation

Contextual Knowledge Learning For Dialogue Generation


This is a re-implementation of TransGAN: Two Pure Transformers Can Make One Strong GAN (NeurIPS 2021) in PyTorch.

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

TransGAN: Two Pure Transformers Can Make One Strong GAN, and That Can Scale Up

Generative Adversarial Networks for Image Augmentation in Agriculture: A Systematic Review


Vision based algorithms for falsification of convolutional neural networks

Feature-Guided Black-Box Safety Testing of Deep Neural Networks

A game-based approximate verification of deep neural networks with provable guarantees

Verification for Machine Learning, Autonomy, and Neural Networks Survey

Global Robustness Evaluation of Deep Neural Networks with Provable Guarantees for the L_0 Norm


Allele-Specific Expression by Single-Cell RNA Sequencing

SCALE: modeling allele-specific gene expression by single-cell RNA sequencing

A Bayesian mixture model for the analysis of allelic expression in single cells

Semi-coordinated allelic-bursting shape dynamic random monoallelic expression in pre-gastrulation embryos


WiFi-based activity recognition dataset

Deep Learning for Radio-Based Human Sensing: Recent Advances and Future Directions

IEEE Communications Surveys and Tutorials

Critical Analysis of Data Leakage in WiFi CSI-Based Human Action Recognition Using CNNs


K* search based implementation of top-k and top-quality planners

K∗ and Partial Order Reduction for Top-Quality Planning

On K* Search for Top-K Planning

K∗ Search over Orbit Space for Top-k Planning

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence


Benchmarked implementations of Offline RL Algorithms.

Decision Transformer: Reinforcement Learning via Sequence Modeling

A Minimalist Approach to Offline Reinforcement Learning

Offline Reinforcement Learning with Implicit Q-Learning

AWAC: Accelerating Online Reinforcement Learning with Offline Datasets

Extreme Q-Learning: MaxEnt RL without Entropy

The In-Sample Softmax for Offline Reinforcement Learning


Intelligent disease prediction system that can help radiologists review Chest X-rays more efficiently.

Learning Deep Features for Discriminative Localization

ChestX-ray: Hospital-Scale Chest X-ray Database and Benchmarks on Weakly Supervised Classification and Localization of Common Thorax Diseases

Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics

CheXNet: Radiologist-Level Pneumonia Detection on Chest X-Rays with Deep Learning

Boosted Cascaded Convnets for Multilabel Classification of Thoracic Diseases in Chest Radiographs


[CVPRW 2021] Dynamic-OFA: Runtime DNN Architecture Switching for Performance Scaling on Heterogeneous Embedded Platforms

Optimising Resource Management for Embedded Machine Learning


Finding Tiny Faces in PyTorch

Hypercolumns for Object Segmentation and Fine-grained Localization

NWPU-Crowd: A Large-Scale Benchmark for Crowd Counting and Localization

IEEE transactions on pattern analysis and machine intelligence

Learning Independent Instance Maps for Crowd Localization

Congested Crowd Instance Localization with Dilated Convolutional Swin Transformer

How important are faces for person re-identification?

Boosting High-Level Vision with Joint Compression Artifacts Reduction and Super-Resolution

LDC-Net: A Unified Framework for Localization, Detection and Counting in Dense Crowds


2013 IEEE CEC Competition on Niching Methods for Multimodal Optimization

A Review of Evolutionary Multimodal Multiobjective Optimization

IEEE Transactions on Evolutionary Computation

Local Binary Pattern-Based Adaptive Differential Evolution for Multimodal Optimization Problems

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

Simple gravitational particle swarm algorithm for multimodal optimization problems

A Multimodal Differential Evolution Algorithm in Initial Orbit Determination for a Space-Based Too Short Arc

A Scalable, Black-box, Hybrid Genetic Algorithm for Continuous Multimodal Optimization in Moderate Dimensions


Set of tools for the analysis correlations using the Histograms of Oriented Gradients

The multiphase and magnetized neutral hydrogen seen by LOFAR

Atomic and molecular gas properties during cloud formation

First look at the multiphase interstellar medium using synthetic observations from low-frequency Faraday tomography


PROVED (PRocess mining OVer uncErtain Data) is a library of functionalities to perform process mining on uncertain event data.

Conformance Checking over Uncertain Event Data

Efficient Time and Space Representation of Uncertain Event Data

Efficient Construction of Behavior Graphs for Uncertain Event Data

PROVED: A Tool for Graph Representation and Analysis of Uncertain Event Data

An XES Extension for Uncertain Event Data


flat-sky code for cmb lensing estimators

Planck 2015 results. XV. Gravitational lensing

Institutional Repository of the University of Granada (University of Granada)

Delensing the CMB with the cosmic infrared background

Physical review. D. Particles, fields, gravitation, and cosmology/Physical review. D, Particles, fields, gravitation, and cosmology

MassiveNuS: cosmological massive neutrino simulations

Journal of Cosmology and Astroparticle Physics

Parameter constraints from cross-correlation of CMB lensing with galaxy clustering

DeepCMB: Lensing Reconstruction of the Cosmic Microwave Background with Deep Neural Networks

Exploring cosmic origins with CORE: Gravitational lensing of the CMB

Cosmological constraints from Planck galaxy clusters with CMB lensing mass bias calibration

Monthly notices of the Royal Astronomical Society

Constraints on Cosmological Parameters from the 500 deg^2 SPTpol
  Lensing Power Spectrum

A 2500 square-degree CMB lensing map from combined South Pole Telescope and Planck data

Dark Energy Survey Year 1 Results: tomographic cross-correlations between DES galaxies and CMB lensing from SPT+Planck


MoEL: Mixture of Empathetic Listeners

MoEL: Mixture of Empathetic Listeners

EmpHi: Generating Empathetic Responses with Human-like Intents

Harnessing the Power of Large Language Models for Empathetic Response Generation: Empirical Investigations and Improvements

Emp-RFT: Empathetic Response Generation via Recognizing Feature Transitions between Utterances

Think Twice: A Human-like Two-stage Conversational Agent for Emotional Response Generation

CARE: Causality Reasoning for Empathetic Responses by Conditional Graph Generation


Implementation of the famous Image Manipulation\Forgery Detector "ManTraNet" in Pytorch

ManTra-Net: Manipulation Tracing Network for Detection and Localization of Image Forgeries With Anomalous Features

A Multi-Stream Fusion Network for Image Splicing Localization

IMDL-BenCo: A Comprehensive Benchmark and Codebase for Image Manipulation Detection & Localization

MSMG-Net: Multi-scale Multi-grained Supervised Metworks for Multi-task Image Manipulation Detection and Localization


Detect and segment individual tree from remotely sensed data

Advances in the Derivation of Northeast Siberian Forest Metrics Using High-Resolution UAV-Based Photogrammetric Point Clouds

Slow development of woodland vegetation and bird communities during 33 years of passive rewilding in open farmland

Mapping Tree Canopy in Urban Environments Using Point Clouds from Airborne Laser Scanning and Street Level Imagery


CryptoGuard: High Precision Detection of Cryptographic Vulnerabilities in Massive-sized Java Projects

CRYLOGGER: Detecting Crypto Misuses Dynamically


Platform for few-shot natural language processing: Text Classification, Sequene Labeling.

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

Few-shot Slot Tagging with Collapsed Dependency Transfer and Label-enhanced Task-adaptive Projection Network

FewJoint: A Few-shot Learning Benchmark for Joint Language Understanding

Learning to Bridge Metric Spaces: Few-shot Joint Learning of Intent Detection and Slot Filling


Reference files for running HipSTR with various organisms

Polymorphic short tandem repeats make widespread contributions to blood and serum traits

The mutational dynamics of short tandem repeats in large, multigenerational families

SNPs, short tandem repeats, and structural variants are responsible for differential gene expression across C57BL/6 and C57BL/10 substrains

Adaptive Long‐Read Sequencing Reveals GGC Repeat Expansion in ZFHX3 Associated with Spinocerebellar Ataxia Type 4

Movement disorders : official journal of the Movement Disorder Society

Associations between forensic loci and expression levels of neighboring genes may compromise medical privacy

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

Functional genomics provide key insights to improve the diagnostic yield of hereditary ataxia

Insights from a genome-wide truth set of tandem repeat variation

bioRxiv : the preprint server for biology

Comparative evaluation of SNVs, indels, and structural variations detected with short- and long-read sequencing data

Structural variants and short tandem repeats impact gene expression and splicing in bovine testis tissue

The rate of spontaneous mutations in yeast deficient for MutSβ function


Code and released pre-trained model for our ACL 2022 paper: "DialogVED: A Pre-trained Latent Variable Encoder-Decoder Model for Dialog Response Generation"

Personalizing Dialogue Agents: I have a dog, do you have pets too?

DailyDialog: A Manually Labelled Multi-turn Dialogue Dataset

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

Audio Visual Scene-Aware Dialog (AVSD) Challenge at DSTC7

MVP: Multi-task Supervised Pre-training for Natural Language Generation


A repository for the design and analysis of pooled single cell RNA-seq perturbation experiments.

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

Dissecting cell identity via network inference and in silico gene perturbation

CRISPR-Cas9-mediated loss-of-function screens

Robustness and applicability of functional genomics tools on scRNA-seq data


An R package for generating comparative regional association plots

Evaluation of circulating plasma proteins in breast cancer using Mendelian randomisation

RACER: A data visualization strategy for exploring multiple genetic associations

A computational approach for identification of core modules from a co-expression network and GWAS data


Deflecting Adversarial Attacks with Pixel Deflection

Image Super-Resolution as a Defense Against Adversarial Attacks

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

On the Robustness of the CVPR 2018 White-Box Adversarial Example Defenses

Self-Recoverable Adversarial Examples: A New Effective Protection Mechanism in Social Networks


ABS: Scanning Neural Networks for Back-doors by  Artificial Brain Stimulation

Trigger Hunting with a Topological Prior for Trojan Detection

Backdoor Attack through Frequency Domain

DECK: Model Hardening for Defending Pervasive Backdoors

FreeEagle: Detecting Complex Neural Trojans in Data-Free Cases

SGBA: A stealthy scapegoat backdoor attack against deep neural networks

Towards A Critical Evaluation of Robustness for Deep Learning Backdoor Countermeasures

Learning Topological Representations for Deep Image Understanding

HaS-Net: A Heal and Select Mechanism to Securely Train DNNs against Backdoor Attacks

Watch Out! Simple Horizontal Class Backdoor Can Trivially Evade Defense


Stanford sky images and PV power generation dataset for solar forecasting related research and applications

SKIPP'D: a SKy Images and Photovoltaic Power Generation Dataset for Short-term Solar Forecasting

Sky-image-based solar forecasting using deep learning with multi-location data: training models locally, globally or via transfer learning?

Open-Source Ground-based Sky Image Datasets for Very Short-term Solar Forecasting, Cloud Analysis and Modeling: A Comprehensive Survey

SkyGPT: Probabilistic Short-term Solar Forecasting Using Synthetic Sky Videos from Physics-constrained VideoGPT


[OpenPAR] An open-source framework for Pedestrian Attribute Recognition, based on PyTorch

Pedestrian Attribute Recognition via CLIP based Prompt Vision-Language Fusion

SequencePAR: Understanding Pedestrian Attributes via A Sequence Generation Paradigm

Spatio-Temporal Side Tuning Pre-trained Foundation Models for Video-based Pedestrian Attribute Recognition

An Empirical Study of Mamba-based Pedestrian Attribute Recognition


Official Implementation of 'UPDeT: Universal Multi-agent Reinforcement Learning via Policy Decoupling with Transformers' ICLR 2021(spotlight)

QMIX: Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning

Value-Decomposition Networks For Cooperative Multi-Agent Learning

QTRAN: Learning to Factorize with Transformation for Cooperative Multi-Agent Reinforcement Learning

UPDeT: Universal Multi-agent RL via Policy Decoupling with Transformers

Breaking the Curse of Dimensionality in Multiagent State Space: A Unified Agent Permutation Framework


Segmentations of Neuroanatomy on Hi-Res T1 and T2 MRIs and publicly available population averages in MNI space

Manual segmentation of the fornix, fimbria, and alveus on high-resolution 3T MRI: Application via fully-automated mapping of the human memory circuit white and grey matter in healthy and pathological aging

Linking persistent negative symptoms to amygdala–hippocampus structure in first-episode psychosis

Warping an atlas derived from serial histology to 5 high-resolution MRIs

Dynamic Effects of Immersive Bilingualism on Cortical and Subcortical Grey Matter Volumes

Do Unremitted Psychotic Symptoms Have an Effect on the Brain? A 2-Year Follow-up Imaging Study in First-Episode Psychosis

Differential reinforcement encoding along the hippocampal long axis helps resolve the explore/exploit dilemma

Population-wide cerebellar growth models of children and adolescents

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


WaNet - Imperceptible Warping-based Backdoor Attack (ICLR 2021)

Backdoor Defense via Decoupling the Training Process

Adversarial Unlearning of Backdoors via Implicit Hypergradient

BackdoorBench: A Comprehensive Benchmark of Backdoor Learning

WaNet -- Imperceptible Warping-based Backdoor Attack

Turning a Curse into a Blessing: Enabling In-Distribution-Data-Free Backdoor Removal via Stabilized Model Inversion


Creative Commons Attribution Share Alike 4.0 International

We release a dataset based on Wikipedia sentences and the corresponding translations in 6 different languages along with the scores (scale 1 to 100) generated though human evaluations that represent the quality of the translations.Paper Title  Unsupervised Quality Estimation for Neural Machine Translation

Are we Estimating or Guesstimating Translation Quality?

Meeting of the Association for Computational Linguistics

Noising Scheme for Data Augmentation in Automatic Post-Editing

Empirical Methods in Natural Language Processing

POSTECH-ETRI’s Submission to the WMT2020 APE Shared Task: Automatic Post-Editing with Cross-lingual Language Model

Optimal Transport for Unsupervised Hallucination Detection in Neural Machine Translation


Attacks Which Do Not Kill Training Make Adversarial Learning Stronger (ICML2020 Paper)

Towards Deep Learning Models Resistant to Adversarial Attacks

Theoretically Principled Trade-off between Robustness and Accuracy

Bag of Tricks for Adversarial Training

Curriculum Adversarial Training

A2: Efficient Automated Attacker for Boosting Adversarial Training

Calibrated Adversarial Training

Advancing Adversarial Training by Injecting Booster Signal

IEEE transactions on neural networks and learning systems


stores the QRL white paper and various translations

Blockchain-Based Digital Twins: Research Trends, Issues, and Future Challenges

On the Role of Hash-Based Signatures in Quantum-Safe Internet of Things: Current Solutions and Future Directions

A Review of Quantum and Hybrid Quantum / Classical Blockchain Protocols


QT-NIRS: Quality Testing of Near Infrared Scans

Association of psychosocial adversity and social information processing in children raised in a low-resource setting: an fNIRS study

Growth in early infancy drives optimal brain functional connectivity which predicts cognitive flexibility in later childhood

Prenatal and childhood exposure to organophosphate pesticides and functional brain imaging in young adults

Combining wearable fNIRS and immersive virtual reality to study preschoolers’ social development: a proof-of-principle study on preschoolers’ social preference

Developing customized NIRS-EEG for infant sleep research: methodological considerations


Anonymized dataset of COVID-19 cases with a focus on radiological imaging. This includes images (x-ray / ct) with extensive metadata, such as admission-, ICU-, laboratory-, and patient master-data.

COVID-CXNet: Detecting COVID-19 in Frontal Chest X-ray Images using Deep Learning

A deep learning architecture for multi-class lung diseases classification using chest X-ray (CXR) images

COVID-19 Infection Map Generation and Detection from Chest X-Ray Images

Chest X-ray Classification for the Detection of COVID-19 Using Deep Learning Techniques

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

Label-Efficient Self-Supervised Federated Learning for Tackling Data Heterogeneity in Medical Imaging

COVID-19 Classification on Chest X-ray Images Using Deep Learning Methods

International journal of environmental research and public health

Neural Networks for the Detection of COVID-19 and Other Diseases: Prospects and Challenges

Detection of various lung diseases including COVID-19 using extreme learning machine algorithm based on the features extracted from a lightweight CNN architecture

A survey on deep learning models for detection of COVID-19


Implementation of the Off Belief Learning algorithm.

Improving Policies via Search in Cooperative Partially Observable Games

Off-Belief Learning

Scalable Online Planning via Reinforcement Learning Fine-Tuning


Critical difference diagram with Wilcoxon-Holm post-hoc analysis.

Deep learning for time series classification: a review

Reservoir Computing Approaches for Representation and Classification of Multivariate Time Series

Deep Neural Network Ensembles for Time Series Classification

International Joint Conference on Neural Network

Contralaterally Enhanced Networks for Thoracic Disease Detection

POPNASv3: a Pareto-Optimal Neural Architecture Search Solution for Image and Time Series Classification

Amercing: An Intuitive, Elegant and Effective Constraint for Dynamic Time Warping

ATCN: Resource-efficient Processing of Time Series on Edge


A collection of literature on the use of computational intelligence methods in sports

Recognizing Daily and Sports Activities in Two Open Source Machine Learning Environments Using Body-Worn Sensor Units

Planning the sports training sessions with the bat algorithm

PlayeRank: Data-driven Performance Evaluation and Player Ranking in Soccer via a Machine Learning Approach

ACM Transactions on Intelligent Systems and Technology

A Systematic Literature Review of Intelligent Data Analysis Methods for Smart Sport Training

Computational intelligence in sports: Challenges and opportunities within a new research domain

Application of Internet of Things and artificial intelligence for smart fitness: A survey

Computational Intelligence in Sports

Artificial intelligence for team sports: a survey

Robust Sports Image Classification Using InceptionV3 and Neural Networks

Artificial Intelligence and Machine Learning in Sport Research: An Introduction for Non-data Scientists


A clean implementation of MuZero and AlphaZero following the AlphaZero General framework. Train and Pit both algorithms against each other, and investigate reliability of learned MuZero MDP models.

Mastering Atari, Go, chess and shogi by planning with a learned model

Deep Reinforcement Learning

Visualizing MuZero Models

E-MCTS: Deep Exploration in Model-Based Reinforcement Learning by Planning with Epistemic Uncertainty


An R-Software package for multi-variate spatio-temporal modelling

Spatial and temporal Antarctic Ice Sheet mass trends, glacio-isostatic adjustment, and surface processes from a joint inversion of satellite altimeter, gravity, and GPS data

Journal of geophysical research. Earth surface

A data-driven approach for assessing ice-sheet mass balance in space and time

Mass evolution of the Antarctic Peninsula over the last 2 decades from a joint Bayesian inversion

Mass evolution of the Antarctic Peninsula over the last two decades from a joint Bayesian inversion


Ultrafast opacity calculator for exoplanetary atmospheres.

HELIOS-K 2.0 Opacity Calculator and Open-source Opacity Database for Exoplanetary Atmospheres

The Astrophysical Journal Supplement Series

A broadband thermal emission spectrum of the ultra-hot Jupiter WASP-18b

Non-local thermodynamic equilibrium effects determine the upper atmospheric temperature structure of the ultra-hot Jupiter KELT-9b

ExoCAM: A 3D Climate Model for Exoplanet Atmospheres

Observability of evaporating lava worlds

CHEOPS geometric albedo of the hot Jupiter HD 209458 b

The Mantis Network I: A standard grid of templates and masks for cross-correlation analyses of ultra-hot Jupiter transmission spectra

Observability of silicates in volatile atmospheres of super-Earths and sub-Neptunes

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

The Outer Edge of the Venus Zone around Main-sequence Stars


Repository for Doctor AI project

Doctor AI: Predicting Clinical Events via Recurrent Neural Networks

Inferring multimodal latent topics from electronic health records

A Survey on Principles, Models and Methods for Learning from Irregularly Sampled Time Series: From Discretization to Attention and Invariance.

CATNet: Cross-event Attention-based Time-aware Network for Medical Event Prediction


This repository includes the code to reproduce our paper "End-to-end anti-spoofing with RawNet2" (https://arxiv.org/abs/2011.01108) published in ICASSP '21.

End-to-end anti-spoofing with RawNet2

Malafide: a novel adversarial convolutive noise attack against deepfake and spoofing detection systems

DeepFake-O-Meter v2.0: An Open Platform for DeepFake Detection


Implementation of the Equiformer, SE3/E3 equivariant attention network that reaches new SOTA, and adopted for use by EquiFold for protein folding

The Reversible Residual Network: Backpropagation Without Storing Activations

Equiformer: Equivariant Graph Attention Transformer for 3D Atomistic Graphs

Spherical Channels for Modeling Atomic Interactions

Reducing SO(3) Convolutions to SO(2) for Efficient Equivariant GNNs

Generalist Equivariant Transformer Towards 3D Molecular Interaction Learning

Learning to design protein-protein interactions with enhanced generalization


Code for the paper Multimodal Transformer Networks for End-to-End Video-Grounded Dialogue Systems (ACL19)

KPQA: A Metric for Generative Question Answering Using Keyphrase Weights


A coreference evaluation package for the CoNLL and ARRAU datasets

Visual Semantic Role Labeling for Video Understanding

SciCo: Hierarchical Cross-Document Coreference for Scientific Concepts

What happens before and after: Multi-Event Commonsense in Event Coreference Resolution

Coreference Resolution for the Biomedical Domain: A Survey

Using Automatically Extracted Minimum Spans to Disentangle Coreference Evaluation from Boundary Detection

The Universal Anaphora Scorer

LREC 2022: THIRTEEN INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION


Identification & characterization of bacterial plasmid-borne contigs from short-read draft assemblies.

Platon: identification and characterization of bacterial plasmid contigs in short-read draft assemblies exploiting protein-sequence-based replicon distribution scores

First Detection of GES-5-Producing Escherichia coli from Livestock—An Increasing Diversity of Carbapenemases Recognized from German Pig Production

Prevalence and Population Diversity of Listeria monocytogenes Isolated from Dairy Cattle Farms in the Cantabria Region of Spain

Animals : an open access journal from MDPI

Comparison of Antimicrobial Susceptibility Profiles of Thermotolerant Campylobacter spp. Isolated from Human and Poultry Samples in Georgia (Caucasus)


Pytorch framework can easily implement srcnn algorithm with excellent performance

Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network

Image Super-Resolution Using Deep Convolutional Networks


Loss Surfaces, Mode Connectivity, and Fast Ensembling of DNNs

Essentially No Barriers in Neural Network Energy Landscape

Large Scale Structure of Neural Network Loss Landscapes

Loss Surface Simplexes for Mode Connecting Volumes and Fast Ensembling


The Camunda Carbon Reductor allows you to time shift your processes' carbon emissions when energy is clean while still fulfilling the requested SLAs.


Decoding platform for machine translation research

Reducing Gender Bias in Neural Machine Translation as a Domain Adaptation Problem

Best-First Beam Search

Domain Adaptive Inference for Neural Machine Translation

Multi-representation Ensembles and Delayed SGD Updates Improve Syntax-based NMT

SGNMT -- A Flexible NMT Decoding Platform for Quick Prototyping of New Models and Search Strategies

A Comparison of Neural Models for Word Ordering

On the Depth between Beam Search and Exhaustive Search for Text Generation

Digging Errors in NMT: Evaluating and Understanding Model Errors from Partial Hypothesis Space


Sparse Cooccurence Network Investigation for Compositional data

Dietary energy sources and levels shift the multi-kingdom microbiota and functions in the rumen of lactating dairy cows

Vaginal and Anal Microbiome during Chlamydia trachomatis Infections

Pre-weaning Ruminal Administration of Differentially-Enriched, Rumen-Derived Inocula Shaped Rumen Bacterial Communities and Co-occurrence Networks of Post-weaned Dairy Calves

Oral Microbiome Metabarcoding in Two Invasive Small Mammals from New Zealand

Systems analysis of gut microbiome influence on metabolic disease in HIV and high-risk populations


Query language for blending SQL logic and LLM reasoning across structured + unstructured data. [Findings of ACL 2024]

Binding Language Models in Symbolic Languages

Grammar Prompting for Domain-Specific Language Generation with Large Language Models

EHRXQA: A Multi-Modal Question Answering Dataset for Electronic Health Records with Chest X-ray Images

BlendSQL: A Scalable Dialect for Unifying Hybrid Question Answering in
  Relational Algebra


A Python 3 gradient-free optimization library

Covariance matrix adaptation for the rapid illumination of behavior space

pyribs: A Bare-Bones Python Library for Quality Diversity Optimization

CMA-ES with Margin: Lower-Bounding Marginal Probability for Mixed-Integer Black-Box Optimization

Proceedings of the Genetic and Evolutionary Computation Conference

A case learning-based differential evolution algorithm for global optimization of interplanetary trajectory design

Fast Moving Natural Evolution Strategy for High-Dimensional Problems


Convergent antibody responses to SARS-CoV-2 in convalescent individuals

Evolution of antibody immunity to SARS-CoV-2

Naturally enhanced neutralizing breadth against SARS-CoV-2 one year after infection

Enhanced SARS-CoV-2 neutralization by dimeric IgA

Anti-SARS-CoV-2 receptor-binding domain antibody evolution after mRNA vaccination

Increased memory B cell potency and breadth after a SARS-CoV-2 mRNA boost

Autoantibodies against chemokines post-SARS-CoV-2 infection correlate with disease course

Naturally enhanced neutralizing breadth to SARS-CoV-2 after one year

Memory B cell responses to Omicron subvariants after SARS-CoV-2 mRNA breakthrough infection in humans

Broad and potent neutralizing human antibodies to tick-borne flaviviruses protect mice from disease


discoal is a coalescent simulation program capable of simulating models with recombination, selective sweeps, and demographic changes including population splits, admixture events, and ancient samples

An approximate full-likelihood method for inferring selection and allele frequency trajectories from DNA sequence data

discoal: flexible coalescent simulations with selection

Adaptive and maladaptive introgression in grapevine domestication


Open STT

Investigating the effects of gender, dialect, and training size on the performance of Arabic speech recognition

A Study of Multilingual End-to-End Speech Recognition for Kazakh, Russian, and English

Exploration of End-to-End ASR for OpenSTT - Russian Open Speech-to-Text Dataset

OWSM-CTC: An Open Encoder-Only Speech Foundation Model for Speech
  Recognition, Translation, and Language Identification

IMS' Systems for the IWSLT 2021 Low-Resource Speech Translation Task

Speech to Text System for Noisy and Quiet Speech


Online anomaly detection for data streams/ Real-time anomaly detection for time series data.

Anomaly Detection in Streams with Extreme Value Theory

Loda: Lightweight on-line detector of anomalies


An open-source CRF Reference String Parsing Package

Machine Learning vs. Rules and Out-of-the-Box vs. Retrained: An Evaluation of Open-Source Bibliographic Reference and Citation Parsers

hyperdoc2vec: Distributed Representations of Hypertext Documents

A Context-based Framework for Modeling the Role and Function of On-line Resource Citations in Scientific Literature

PDFdigest: an Adaptable Layout-Aware PDF-to-XML Textual Content Extractor for Scientific Articles

PROCEEDINGS OF THE ELEVENTH INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION (LREC 2018)

A Benchmark of PDF Information Extraction Tools Using a Multi-task and Multi-domain Evaluation Framework for Academic Documents

A Study of Reuse and Plagiarism in Speech and Natural Language Processing papers

HAL (Le Centre pour la Communication Scientifique Directe)

Providing and Analyzing NLP Terms for our Community

Dataset of first appearances of the scholarly bibliographic references on Wikipedia articles


The PyTorch Implementation of SummaRuNNer

Summarizing Medical Conversations via Identifying Important Utterances

International Conference on Computational Linguistics

Incorporating Domain Knowledge for Extractive Summarization of Legal Case Documents

Summarizing User-generated Textual Content: Motivation and Methods for Fairness in Algorithmic Summaries

Dialect Diversity in Text Summarization on Twitter

Summaformers @ LaySumm 20, LongSumm 20

IDN-Sum: A New Dataset for Interactive Digital Narrative Extractive Text Summarisation

Applicability of large language models and generative models for legal case judgement summarization

MILDSum: A Novel Benchmark Dataset for Multilingual Summarization of Indian Legal Case Judgments


EMNLP 2021 - CTC: A Unified Framework for Evaluating Natural Language Generation

TRUE: Re-evaluating Factual Consistency Evaluation

Compression, Transduction, and Creation: A Unified Framework for Evaluating Natural Language Generation

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

Post Turing: Mapping the landscape of LLM Evaluation

PairEval: Open-domain Dialogue Evaluation with Pairwise Comparison


C++ Monte Carlo photoionization and radiation hydrodynamics code.

The Monte Carlo photoionization and moving-mesh radiation hydrodynamics code CMacIonize

Radiative transfer calculations of the diffuse ionized gas in disc galaxies with cosmic ray feedback

Monthly Notices of the Royal Astronomical Society

Massive star formation via torus accretion: the effect of photoionization feedback

Monthly notices of the Royal Astronomical Society

Radiation hydrodynamics simulations of the evolution of the diffuse ionized gas in disc galaxies


ScanFold is an RNA sequence scanning pipeline which attempts to identify potentially functional RNA secondary structures. This is done by first scanning a single input sequence to identify regions which generate negative thermodynamic z-scores (a hallmark of functional RNA sequences), and subsequently identifying the specific base pairs which were responsible for generating the low z-scores.

ScanFold: an approach for genome-wide discovery of local RNA structural elements—applications to Zika virus and HIV

Mapping the RNA structural landscape of viral genomes.

RNA structural analysis of the MYC mRNA reveals conserved motifs that affect gene expression

Prediction and analysis of functional RNA structures within the integrative genomics viewer


Comprehensive suite for rule-based learning

RuleKit: A Comprehensive Suite for Rule-Based Learning

Survival Prediction of Children Undergoing Hematopoietic Stem Cell Transplantation Using Different Machine Learning Classifiers by Performing Chi-Square Test and Hyperparameter Optimization: A Retrospective Analysis

Separate and conquer heuristic allows robust mining of contrast sets in classification, regression, and survival data


Is ChatGPT Good at Search? LLMs as Re-Ranking Agent [EMNLP 2023 Outstanding Paper Award]

Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agents

Instruction Distillation Makes Large Language Models Efficient Zero-shot Rankers

TWOLAR: A TWO-Step LLM-Augmented Distillation Method for Passage Reranking


A Japanese tokenizer based on recurrent neural networks

fugashi, a Tool for Tokenizing Japanese in Python

NTT's Machine Translation Systems for WMT19 Robustness Task

Towards the TopMost: A Topic Modeling System Toolkit


Phigaro is a scalable command-line tool for predicting phages and prophages

Phigaro: high-throughput prophage sequence annotation

Phigaro: high throughput prophage sequence annotation

Whole-genome analysis of carbapenem-resistant Acinetobacter baumannii from clinical isolates in Southern Thailand

Zenodo (CERN European Organization for Nuclear Research)


CLIP (Contrastive Language–Image Pre-training) for Italian

Learning Transferable Visual Models From Natural Language Supervision

Persistent Anti-Muslim Bias in Large Language Models

WIT: Wikipedia-based Image Text Dataset for Multimodal Multilingual Machine Learning

Contrastive Language-Image Pre-training for the Italian Language

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


A set of high-dimensional continuous control environments for use with Unity ML-Agents Toolkit.

Emergence of Locomotion Behaviours in Rich Environments

DeepMimic: Example-Guided Deep Reinforcement Learning of Physics-Based Character Skills

Marathon Environments: Multi-Agent Continuous Control Benchmarks in a Modern Video Game Engine

Realistic Physics Based Character Controller


A collection of scripts for working with Hi-C data, Juicebox, and other genomic file formats

The pink salmon genome: Uncovering the genomic consequences of a two-year life cycle

Topological structures and syntenic conservation in sea anemone genomes

Sequencing and Chromosome-Scale Assembly of Plant Genomes, Brassica rapa as a Use Case

Phased Diploid Genome Sequence for the Fast-Growing Microalga Picochlorum celeri

A chromosome scale assembly of the parasitoid wasp Venturia canescens provides insight into the process of virus domestication

Sablefish (Anoplopoma fimbria) chromosome-level genome assembly


HOHQMesh.jl is a Julia wrapper for the HOHQMesh mesh generator, which allows to produce curved quadrilateral and hexahedral meshes for high-order numerical simulations.

Adaptive numerical simulations with Trixi.jl: A case study of Julia for scientific computing

An entropy stable discontinuous Galerkin method for the two-layer shallow water equations on curvilinear meshes

High-order upwind summation-by-parts methods for nonlinear conservation laws

Efficient discretization of the Laplacian on complex geometries


an easy-to-use knn-mt toolkit

Towards Robust k-Nearest-Neighbor Machine Translation

What Knowledge Is Needed? Towards Explainable Memory for kNN-MT Domain Adaptation

kNN-BOX: A Unified Framework for Nearest Neighbor Generation

kNN-TL: k-Nearest-Neighbor Transfer Learning for Low-Resource Neural Machine Translation

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


List of gene lists for genomic analyses.

Systematic single-variant and gene-based association testing of thousands of phenotypes in 394,841 UK Biobank exomes

Transcript expression-aware annotation improves rare variant interpretation

CCR8-targeted specific depletion of clonally expanded Treg cells in tumor tissues evokes potent tumor immunity with long-lasting memory

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

Human and mouse essentiality screens as a resource for disease gene discovery

Transcript expression-aware annotation improves rare variant discovery and interpretation

The 3D mutational constraint on amino acid sites in the human proteome

Promoter sequence and architecture determine expression variability and confer robustness to genetic variants

GREEN-DB: a framework for the annotation and prioritization of non-coding regulatory variants in whole-genome sequencing

Leveraging gene co-regulation to identify gene sets enriched for disease heritability

Human genetic analyses of organelles highlight the nucleus in age-related trait heritability


This repo contains the code for generating the ToxiGen dataset, published at ACL 2022.

ToxiGen: A Large-Scale Machine-Generated Dataset for Adversarial and Implicit Hate Speech Detection

Interpretable Unified Language Checking

Can LLMs Recognize Toxicity? Definition-Based Toxicity Metric

Examining Forgetting in Continual Pre-training of Aligned Large Language Models


Data Sets and Models for Evaluation of Lexical Semantic Change Detection

A Wind of Change: Detecting and Evaluating Lexical Semantic Change across Times and Domains

Simulating Lexical Semantic Change from Sense-Annotated Data

Discovery Team at SemEval-2020 Task 1: Context-sensitive Embeddings Not Always Better than Static for Semantic Change Detection

BOS at SemEval-2020 Task 1: Word Sense Induction via Lexical Substitution for Lexical Semantic Change Detection

International Workshop on Semantic Evaluation

Effects of Pre- and Post-Processing on type-based Embeddings in Lexical Semantic Change Detection

IMS at SemEval-2020 Task 1: How low can you go? Dimensionality in Lexical Semantic Change Detection

A collection of Swedish diachronic word embedding models trained on historical newspaper data

JCT at SemEval-2020 Task 1: Combined Semantic Vector Spaces Models for Unsupervised Lexical Semantic Change Detection


Multi-scenario Extreme Weather Simulator (MEWS)

Multi-scenario Extreme Weather Simulator application to heat waves: Ko’olauloa community resilience hub

Science and Technology for the Built Environment


Methods for detecting doublets in single-cell sequencing data

Doublet identification in single-cell sequencing data using scDblFinder

Single-cell RNA sequencing reveals the sustained immune cell dysfunction in the pathogenesis of sepsis secondary to bacterial pneumonia

Maturation signatures of conventional dendritic cell subtypes in COVID‐19 suggest direct viral sensing

Reconstructing physical cell interaction networks from single-cell data using Neighbor-seq

Comprehensive multi-omics single-cell data integration reveals greater heterogeneity in the human immune system

NF-κB drives epithelial-mesenchymal mechanisms of lung fibrosis in a translational lung cell model

Single-cell sequencing reveals the cell map and transcriptional network of sporadic vestibular schwannoma

PfAP2-MRP DNA-binding protein is a master regulator of parasite pathogenesis during malaria parasite blood stages

bioRxiv : the preprint server for biology

Isolation of human cutaneous immune cells for single-cell RNA sequencing


The official repo of Aquila2 series proposed by BAAI, including pretrained & chat large language models.

LoRA: Low-Rank Adaptation of Large Language Models

QLoRA: Efficient Finetuning of Quantized LLMs

ChatGPT's One-year Anniversary: Are Open-Source Large Language Models Catching up?

Benchmarking Benchmark Leakage in Large Language Models

Fine-tuning Large Language Models for Domain-specific Machine
  Translation

YAYI 2: Multilingual Open-Source Large Language Models

Aqulia-Med LLM: Pioneering Full-Process Open-Source Medical Language
  Models


VNN Neural Network Verification Competition 2021

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

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

Efficient Neural Network Analysis with Sum-of-Infeasibilities

Toward Certified Robustness Against Real-World Distribution Shifts

CEG4N: Counter-Example Guided Neural Network Quantization Refinement

Counterexample Guided Neural Network Quantization Refinement

IEEE transactions on computer-aided design of integrated circuits and systems

Towards Global Neural Network Abstractions with Locally-Exact Reconstruction


About Code release for "Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting" (NeurIPS 2021), https://arxiv.org/abs/2106.13008

PromptCast: A New Prompt-based Learning Paradigm for Time Series Forecasting

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

Scaleformer: Iterative Multi-scale Refining Transformers for Time Series Forecasting

FourierGNN: Rethinking Multivariate Time Series Forecasting from a Pure Graph Perspective

Dish-TS: A General Paradigm for Alleviating Distribution Shift in Time Series Forecasting

A Survey on Time-Series Pre-Trained Models

Ti-MAE: Self-Supervised Masked Time Series Autoencoders

FECAM: Frequency Enhanced Channel Attention Mechanism for Time Series Forecasting

Non-autoregressive Conditional Diffusion Models for Time Series Prediction


GROOPS: A software toolkit for gravity field recovery and GNSS processing

RECOG RL01: correcting GRACE total water storage estimates for global lakes/reservoirs and earthquakes

Comparison and generalization of GNSS satellite attitude models


Build Hierarchical Autonomous Agents through Config. Collaborative Growth of Specialized Agents.

Let's Verify Step by Step

Augmented Language Models: a Survey

Specializing Smaller Language Models towards Multi-Step Reasoning

ReWOO: Decoupling Reasoning from Observations for Efficient Augmented Language Models

Gentopia: A Collaborative Platform for Tool-Augmented LLMs

CACTUS: Chemistry Agent Connecting Tool-Usage to Science


A synthetic Roman Space Telescope High-Latitude Imaging Survey: simulation suite and the impact of wavefront errors on weak gravitational lensing

Weak gravitational lensing shear estimation with metacalibration for the Roman High-Latitude Imaging Survey

A synthetic Roman Space Telescope High-Latitude Time-Domain Survey: supernovae in the deep field


LaMEM (Lithosphere and Mantle Evolution Model) - a 3D parallel code to simulate geodynamic and geomechanical processes

Magmatism Controls Global Oceanic Transform Fault Topography


This pipeline is executing a RE-EDS run for relative free energy calculations. It can be used for example for calculation of hydration free energies or ligand binding free energies.

Efficient Round-Trip Time Optimization for Replica-Exchange Enveloping Distribution Sampling (RE-EDS).

Journal of chemical theory and computation

Replica exchange enveloping distribution sampling (RE-EDS): A robust method to estimate multiple free-energy differences from a single simulation

An Alternative to Conventional λ-Intermediate States in Alchemical Free Energy Calculations: λ-Enveloping Distribution Sampling

Journal of chemical information and modeling

Relative free-energy calculations for scaffold hopping-type transformations with an automated RE-EDS sampling procedure

Journal of computer-aided molecular design

Accounting for Solvation Correlation Effects on the Thermodynamics of Water Networks in Protein Cavities

Replica-Exchange Enveloping Distribution Sampling Using Generalized AMBER Force-Field Topologies: Application to Relative Hydration Free-Energy Calculations for Large Sets of Molecules

Accelerating Alchemical Free Energy Prediction Using a Multistate Method: Application to Multiple Kinases


DFT-FE: Real-space DFT calculations using Finite Elements

DFT-FE – A massively parallel adaptive finite-element code for large-scale density functional theory calculations

DFT-FE 1.0: A massively parallel hybrid CPU-GPU density functional theory code using finite-element discretization

All-electron density functional calculations for electron and nuclear spin interactions in molecules and solids

Roadmap on electronic structure codes in the exascale era


Neural style in TensorFlow!

A Neural Algorithm of Artistic Style

The Contextual Loss for Image Transformation with Non-Aligned Data

Laplacian-Steered Neural Style Transfer

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

Bringing Impressionism to Life with Neural Style Transfer in Come Swim

DeepMovie: Using Optical Flow and Deep Neural Networks to Stylize Movies

Towards a Change Taxonomy for Machine Learning Systems


A library for adding additional forces to the REBOUND N-body integration package

REBOUNDx: a library for adding conservative and dissipative forces to otherwise symplectic N-body integrations

Convergent Migration Renders TRAPPIST-1 Long-lived

Ultra-short-period Planets from Secular Chaos

In situ scattering of warm Jupiters and implications for dynamical histories

Moderately eccentric warm Jupiters from secular interactions with exterior companions

The Hills Mechanism and the Galactic Center S-stars

TATOOINE’S FUTURE: THE ECCENTRIC RESPONSE OF KEPLER’S CIRCUMBINARY PLANETS TO COMMON-ENVELOPE EVOLUTION OF THEIR HOST STARS

Capture of stars into gaseous discs around massive black holes: alignment, circularization, and growth

The Effect of General Relativistic Precession on Tidal Disruption Events from Eccentric Nuclear Disks

Connecting HL Tau to the observed exoplanet sample


ARTIC SARS-CoV-2 workflow and reporting

Rapid epidemic expansion of the SARS-CoV-2 Omicron variant in southern Africa

Multiple pathways for SARS-CoV-2 resistance to nirmatrelvir

Emergence of E484K Mutation Following Bamlanivimab Monotherapy among High-Risk Patients Infected with the Alpha Variant of SARS-CoV-2

Detection of High Level of Co-Infection and the Emergence of Novel SARS CoV-2 Delta-Omicron and Omicron-Omicron Recombinants in the Epidemiological Surveillance of Andalusia

International journal of molecular sciences

Genomic Surveillance Reveals the Rapid Expansion of the XBB Lineage among Circulating SARS-CoV-2 Omicron Lineages in Southeastern Wisconsin, USA

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


A DNS and LES box code

Turbulence Enrichment using Generative Adversarial Networks

Optimal closed-loop wake steering, Part 1: Conventionally neutral atmospheric boundary layer conditions

Effect of tip spacing, thrust coefficient and turbine spacing in multi-rotor wind turbines and farms

Optimal closed-loop wake steering, Part 2: Diurnal cycle atmospheric boundary layer conditions

Modelling the induction, thrust and power of a yaw-misaligned actuator disk

Wind farm yaw control set-point optimization under model parameter uncertainty


List of software packages for multi-omics analysis

State of the Field in Multi-Omics Research: From Computational Needs to Data Mining and Sharing

Integrative Network Fusion: A Multi-Omics Approach in Molecular Profiling

Canonical correlation analysis for multi-omics: Application to cross-cohort analysis

Simultaneous Non-Gaussian Component Analysis (SING) for Data Integration in Neuroimaging


PyRoss: inference, forecasts, and optimised control of epidemiological models in Python. github.com/rajeshrinet/pyross

Age-structured impact of social distancing on the COVID-19 epidemic in India

Forecasting COVID-19 epidemic in India and high incidence states using SIR and logistic growth models

Detection of COVID-19 using CXR and CT images using Transfer Learning and Haralick features

Applied intelligence (Dordrecht, Netherlands)

A district-level susceptibility and vulnerability assessment of the COVID-19 pandemic's footprint in India

Spatial and spatio-temporal epidemiology

Inference, prediction and optimization of non-pharmaceutical interventions using compartment models: the PyRoss library

Efficient Bayesian inference of fully stochastic epidemiological models with applications to COVID-19

COVID-19 disease spread modeling by QSIR method: The parameter optimal control approach

Lockdown Impact and Exit Strategy for COVID-19 Pandemic in India

Efficient and flexible methods for simulating models of time since infection

Age Structured Mixture Model for Early COVID-19 Spread: A Zimbabwean Risk Factor Analysis

Journal of Contemporary Studies in Epidemiology and Public Health


An automatic evaluator for instruction-following language models. Human-validated, high-quality, cheap, and fast.

ToolLLM: Facilitating Large Language Models to Master 16000+ Real-world APIs

AlpacaFarm: A Simulation Framework for Methods that Learn from Human Feedback

Yi: Open Foundation Models by 01.AI

OpenChat: Advancing Open-source Language Models with Mixed-Quality Data

Self-Rewarding Language Models

Camels in a Changing Climate: Enhancing LM Adaptation with Tulu 2

AlpaGasus: Training A Better Alpaca with Fewer Data

Shadow Alignment: The Ease of Subverting Safely-Aligned Language Models

Large Language Model Alignment: A Survey

What Makes Good Data for Alignment? A Comprehensive Study of Automatic Data Selection in Instruction Tuning


Accelerated deep learning R&D

Machine Learning in Python: Main developments and technology trends in data science, machine learning, and artificial intelligence

Artificial Intelligence for Prosthetics - challenge solutions

The Springer series on challenges in machine learning

torchdistill: A Modular, Configuration-Driven Framework for Knowledge Distillation

Reproducible Research in Pattern Recognition

Predicting age from resting-state scalp EEG signals with deep convolutional neural networks on TD-brain dataset

Self-Supervised Multimodal Domino: in Search of Biomarkers for Alzheimer's Disease

Fully convolutional Siamese neural networks for buildings damage assessment from satellite images

Catalyst.RL: A Distributed Framework for Reproducible RL Research

Sample Efficient Ensemble Learning with Catalyst.RL

Self-supervised multimodal neuroimaging yields predictive representations for a spectrum of Alzheimer's phenotypes

Variational voxelwise rs-fMRI representation learning: Evaluation of sex, age, and neuropsychiatric signatures


Mirror of https://git.ffmpeg.org/ffmpeg.git

Smart Greybox Fuzzing

Exploring Software Naturalness through Neural Language Models

Fast Object Detection in Compressed Video

Data Quality for Software Vulnerability Datasets

SPI: Automated Identification of Security Patches via Commits

Spatio-Temporal Rich Model-Based Video Steganalysis on Cross Sections of Motion Vector Planes

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

Atss-Net: Target Speaker Separation via Attention-based Neural Network

Real-time detection of neural oscillation bursts allows behaviourally relevant neurofeedback

Exploring the Contextual Factors Affecting Multimodal Emotion Recognition in Videos

PHANTOM: Curating GitHub for engineered software projects using time-series clustering

Zenodo (CERN European Organization for Nuclear Research)


Semi-Parametric Editing with a Retrieval-Augmented Counterfactual Model

Fast Model Editing at Scale

Memory-Based Model Editing at Scale

Editable Neural Networks


CP-JKU submission to DCASE 19, performant single-model CNN

The Receptive Field as a Regularizer in Deep Convolutional Neural Networks for Acoustic Scene Classification

Receptive-field-regularized CNN variants for acoustic scene classification

Emotion and Theme Recognition in Music with Frequency-Aware RF-Regularized CNNs

Receptive-Field Regularized CNNs for Music Classification and Tagging


Investigating Pretrained Language Models for Graph-to-Text Generation

InfoSurgeon: Cross-Media Fine-grained Information Consistency Checking for Fake News Detection

Meeting of the Association for Computational Linguistics

Pre-training to Match for Unified Low-shot Relation Extraction

Element Intervention for Open Relation Extraction


A short tutorial on Keras for the co-utilization of audio and text data (multi-modal analysis)

A Structured Self-attentive Sentence Embedding

Speech Emotion Recognition Using Multi-hop Attention Mechanism

International Conference on Acoustics, Speech, and Signal Processing

Investigating an Effective Character-level Embedding in Korean Sentence Classification

Discourse Component to Sentence (DC2S): An Efficient Human-Aided Construction of Paraphrase and Sentence Similarity Dataset

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

Text Matters but Speech Influences: A Computational Analysis of Syntactic Ambiguity Resolution

Disambiguating Speech Intention via Audio-Text Co-attention Framework: A Case of Prosody-semantics Interface.


Code for GroupIM: A Mutual Information Maximization Framework for Neural Group Recommendation (SIGIR 2020)

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

ConsRec: Learning Consensus Behind Interactions for Group Recommendation

Deep Reinforcement Learning based Group Recommender System

Sparsity-aware neural user behavior modeling in online interaction platforms


This technique modifies image data so that any model trained on it will bear an identifiable mark.

Untargeted Backdoor Watermark: Towards Harmless and Stealthy Dataset Copyright Protection

Radioactive data: tracing through training

On the Effectiveness of Dataset Watermarking

Proceedings of the 2022 ACM on International Workshop on Security and Privacy Analytics

A General Framework for Data-Use Auditing of ML Models


Code for Neural Information Processing Systems (NeurIPS) 2019 paper: Pareto Multi-Task Learning

Pareto Multi-Task Learning

Multi-task Self-supervised Graph Neural Networks Enable Stronger Task Generalization

Multi-Task Learning with Multi-Task Optimization


DeepTACT: predicting three-dimensional chromatin contacts via bootstrapping deep learning

DeepTACT: predicting 3D chromatin contacts via bootstrapping deep learning

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

Computational and structural biotechnology journal

Machine and deep learning methods for predicting 3D genome organization.


Calculate the Self-Calibrating Palmer Drought Severity Index (scPDSI)

Recent extreme drought events in the Amazon rainforest: assessment of different precipitation and evapotranspiration datasets and drought indicators

Impacts of Agroclimatic Variability on Maize Production in the Setsoto Municipality in the Free State Province, South Africa

Spatial Heterogeneity in the Response of Winter Wheat Yield to Meteorological Dryness/Wetness Variations in Henan Province, China


Python Whole Slide Image Preprocessing

Isocitrate dehydrogenase (IDH) status prediction in histopathology images of gliomas using deep learning

A Whole Slide Image Managing Library Based on Fastai for Deep Learning in the Context of Histopathology: Two Use-Cases Explained

Ink Marker Segmentation in Histopathology Images Using Deep Learning


Code for ACL 2022 findings paper "Gaussian Multi-head Attention for Simultaneous Machine Translation"

Wait-info Policy: Balancing Source and Target at Information Level for Simultaneous Machine Translation

Hidden Markov Transformer for Simultaneous Machine Translation


Class-Incremental Learning by Knowledge Distillation with Adaptive Feature Consolidation

On the Stability-Plasticity Dilemma of Class-Incremental Learning


Mouse cell atlas

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

Alveolar macrophage-expressed Plet1 is a driver of lung epithelial repair after viral pneumonia

FGF23 directly inhibits osteoprogenitor differentiation in Dmp1-knockout mice


Visual Navigation with Spatial Attention

Deep Residual Learning for Image Recognition

Visual Semantic Navigation using Scene Priors

Learning to Learn How to Learn: Self-Adaptive Visual Navigation Using Meta-Learning


PyTorch code for JEREX: Joint Entity-Level Relation Extractor

An End-to-end Model for Entity-level Relation Extraction using Multi-instance Learning

A sequence-to-sequence approach for document-level relation extraction


pytorch implementation of Large Scale Incremental Learning

Large Scale Incremental Learning

Continual Learning Based on OOD Detection and Task Masking

Online Continual Learning via Logit Adjusted Softmax

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


Baseline method for sound event localization task of DCASE 2023 challenge

Overview and Evaluation of Sound Event Localization and Detection in DCASE 2019

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

Multi-ACCDOA: Localizing and Detecting Overlapping Sounds from the Same Class with Auxiliary Duplicating Permutation Invariant Training

SALSA-Lite: A Fast and Effective Feature for Polyphonic Sound Event Localization and Detection with Microphone Arrays

CST-Former: Transformer with Channel-Spectro-Temporal Attention for Sound Event Localization and Detection

Divided spectro-temporal attention for sound event localization and detection in real scenes for DCASE2023 challenge


Exploring the "dusk matter" of the RNA virosphere

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

Current trends in RNA virus detection through metatranscriptome sequencing data

NeoRdRp2 with improved seed data, annotations, and scoring


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

Sleeper Agent: Scalable Hidden Trigger Backdoors for Neural Networks Trained from Scratch

Untargeted Backdoor Watermark: Towards Harmless and Stealthy Dataset Copyright Protection


Conservative Q Learning on top of SAC

Soft Actor-Critic Algorithms and Applications

Conservative Q-Learning for Offline Reinforcement Learning

Offline Reinforcement Learning with Implicit Q-Learning

Planning with Diffusion for Flexible Behavior Synthesis

Offline Reinforcement Learning via High-Fidelity Generative Behavior Modeling

CORL: Research-oriented Deep Offline Reinforcement Learning Library

Offline RL with No OOD Actions: In-Sample Learning via Implicit Value Regularization

When to Trust Your Simulator: Dynamics-Aware Hybrid Offline-and-Online Reinforcement Learning

Survival Instinct in Offline Reinforcement Learning

Offline Reinforcement Learning at Multiple Frequencies


Habitat: A Platform for Embodied AI Research

Cognitive Mapping and Planning for Visual Navigation

DD-PPO: Learning Near-Perfect PointGoal Navigators from 2.5 Billion Frames

Learning Exploration Policies for Navigation

Learning whom to trust in navigation: dynamically switching between classical and neural planning


Pytorch Implementation of Neural Architecture Optimization

Neural Architecture Optimization

Semi-Supervised Neural Architecture Search

An Analysis of Super-Net Heuristics in Weight-Sharing NAS

Understanding and Improving One-shot Neural Architecture Optimization.

Balanced One-shot Neural Architecture Optimization


GNNExplainer: Generating Explanations for Graph Neural Networks

Task-Agnostic Graph Explanations

[Re] Parameterized Explainer for Graph Neural Network

GNNX-BENCH: Unravelling the Utility of Perturbation-based GNN Explainers through In-depth Benchmarking

Efficient GNN Explanation via Learning Removal-based Attribution

Faithful Explanations for Deep Graph Models


Keras implementation of YOLO v3 for object detection with training and deployment in Azure ML.

You Only Look Once: Unified, Real-Time Object Detection

YOLOv3: An Incremental Improvement

YOLO9000: Better, Faster, Stronger

YOLOv4: Optimal Speed and Accuracy of Object Detection


[BMVC 2021] The official implementation of "DomainMix: Learning Generalizable Person Re-Identification Without Human Annotations"

Person Transfer GAN to Bridge Domain Gap for Person Re-Identification

Two at Once: Enhancing Learning and Generalization Capacities via IBN-Net

Surpassing Real-World Source Training Data: Random 3D Characters for Generalizable Person Re-Identification


RL^2: Fast Reinforcement Learning via Slow Reinforcement Learning

Model Selection in Contextual Stochastic Bandit Problems

Unpacking Reward Shaping: Understanding the Benefits of Reward Engineering on Sample Complexity

Posterior Sampling for Reinforcement Learning Without Episodes

Towards Tractable Optimism in Model-Based Reinforcement Learning


Binarize convolutional neural networks using pytorch :fire:

XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks

Binarized Convolutional Landmark Localizers for Human Pose Estimation and Face Alignment with Limited Resources

International Conference on Computer Vision

XNOR-Net++: Improved Binary Neural Networks

Improved training of binary networks for human pose estimation and image recognition

Hierarchical Binary CNNs for Landmark Localization with Limited Resources

IEEE transactions on pattern analysis and machine intelligence


Additional material for paper: Pump and Dumps in the Bitcoin Era: Real Time Detection of Cryptocurrency Market Manipulations, ICCCN '20

The Doge of Wall Street: Analysis and Detection of Pump and Dump Cryptocurrency Manipulations

Applications of Signature Methods to Market Anomaly Detection


National Electricity Market Emissions Data Tool


Investigating patches for fake image classification

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

What makes fake images detectable? Understanding properties that generalize

Countering Malicious DeepFakes: Survey, Battleground, and Horizon

Adversarially Robust Deepfake Detection via Adversarial Feature Similarity Learning


Pytorch implementation of "Explainable and Explicit Visual Reasoning over Scene Graphs "

Separating Skills and Concepts for Novel Visual Question Answering

Learning from Lexical Perturbations for Consistent Visual Question Answering


The core definition and classes of the World Wide Charging Protocol Suite


Pytorch implementation of SIREN -  Implicit Neural Representations with Periodic Activation Function

Implicit Neural Representations with Periodic Activation Functions

Modulated Periodic Activations for Generalizable Local Functional Representations

SINCO: A Novel structural regularizer for image compression using implicit neural representations

Implicit Neural Image Field for Biological Microscopy Image Compression


[MIDL 2021] Learning Diffeomorphic and Modality-invariant Registration using B-splines

TransMorph: Transformer for unsupervised medical image registration

Fourier-Net: Fast Image Registration with Band-limited Deformation

Arbitrary Order Total Variation for Deformable Image Registration

Fourier-Net+: Leveraging Band-Limited Representation for Efficient 3D Medical Image Registration


covidAsk: Answering Questions on COVID-19 in Real-Time

Biomedical Entity Representations with Synonym Marginalization

Contextualized Sparse Representations for Real-Time Open-Domain Question Answering

End-to-End QA on COVID-19: Domain Adaptation with Synthetic Training


MoFlow: an invertible flow model for generating molecular graphs

MoFlow: An Invertible Flow Model for Generating Molecular Graphs

Score-based Generative Modeling of Graphs via the System of Stochastic Differential Equations

MolHF: A Hierarchical Normalizing Flow for Molecular Graph Generation


Tensorflow implementation of Generating Adversarial Examples with Adversarial Networks

Man-in-the-Middle Attacks Against Machine Learning Classifiers Via Malicious Generative Models

Robustness-via-Synthesis: Robust Training with Generative Adversarial Perturbations


[ICCV 2023] The official PyTorch code for Group Pose: A Simple Baseline for End-to-End Multi-person Pose Estimation

Explicit Box Detection Unifies End-to-End Multi-Person Pose Estimation

QueryPose: Sparse Multi-Person Pose Regression via Spatial-Aware Part-Level Query


Deep Keyphrase Generation with Pre-trained Language Models

Pre-trained Language Models for Keyphrase Generation: A Thorough Empirical Study

Rethinking Model Selection and Decoding for Keyphrase Generation with Pre-trained Sequence-to-Sequence Models

On Leveraging Encoder-only Pre-trained Language Models for Effective
  Keyphrase Generation


Code for "Just Train Twice: Improving Group Robustness without Training Group Information"

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

Mitigating Dataset Bias by Using Per-sample Gradient

Sufficient Invariant Learning for Distribution Shift

Denoising after Entropy-based Debiasing A Robust Training Method for Dataset Bias with Noisy Labels


Report reverse and ambiguous strand SNPs in GWAS data

A multi-ethnic genome-wide association study implicates collagen matrix integrity and cell differentiation pathways in keratoconus

Single Cell Transcriptome and Surface Epitope Analysis of Ankylosing Spondylitis Facilitates Disease Classification by Machine Learning

Uncovering Signals of Positive Selection in Peruvian Populations from Three Ecological Regions

Polygenic scores for schizophrenia and major depression are associated with psychosocial risk factors in children: evidence of gene–environment correlation

Journal of child psychology and psychiatry, and allied disciplines

snpQT: flexible, reproducible, and comprehensive quality control and imputation of genomic data

Genome-Wide Gene-Set Analysis Identifies Molecular Mechanisms Associated with ALS

International journal of molecular sciences


[MedIA'20]Multi-task recurrent convolutional network with correlation loss for surgical video analysis, winner algorithm at MICCAI'19 Surgical Workflow and Skill Analysis Challenge

EndoNet: A Deep Architecture for Recognition Tasks on Laparoscopic Videos

Multi-Task Recurrent Convolutional Network with Correlation Loss for Surgical Video Analysis

A Review on Deep Learning in Minimally Invasive Surgery


Massively Distributed SGD: ImageNet/ResNet-50 Training in a Flash

Orchestrating the Development Lifecycle of Machine Learning-Based IoT Applications: A Taxonomy and Survey

Image Classification at Supercomputer Scale

NEZHA: Neural Contextualized Representation for Chinese Language Understanding

PiRATE: A Blockchain-Based Secure Framework of Distributed Machine Learning in 5G Networks

Optimizing Network Performance for Distributed DNN Training on GPU Clusters: ImageNet/AlexNet Training in 1.5 Minutes

Communication optimization strategies for distributed deep neural network training: A survey

Journal of Parallel and Distributed Computing

A Highly Efficient Distributed Deep Learning System For Automatic Speech Recognition

Privacy Preserving QoE Modeling using Collaborative Learning

Training Multilingual Pre-trained Language Model with Byte-level Subwords


An Improved Event-Independent Network for Polyphonic Sound Event Localization and Detection

A Dataset of Reverberant Spatial Sound Scenes with Moving Sources for Sound Event Localization and Detection


Surfel-based Mapping for 3d Laser Range Data (SuMa)

A Robust Laser-Inertial Odometry and Mapping Method for Large-Scale Highway Environments

SA-LOAM: Semantic-aided LiDAR SLAM with Loop Closure

Real-time Multi-Adaptive-Resolution-Surfel 6D LiDAR Odometry using Continuous-time Trajectory Optimization


A PyTorch implementation of Mnemonic Reader for the Machine Comprehension task

Reading Wikipedia to Answer Open-Domain Questions

Machine Comprehension Using Match-LSTM and Answer Pointer

Reinforced Mnemonic Reader for Machine Reading Comprehension

Can Small and Synthetic Benchmarks Drive Modeling Innovation? A Retrospective Study of Question Answering Modeling Approaches.

Do Question Answering Modeling Improvements Hold Across Benchmarks?


EEG-Based Emotion Recognition Using Regularized Graph Neural Networks

HetEmotionNet: Two-Stream Heterogeneous Graph Recurrent Neural Network for Multi-modal Emotion Recognition


A collection of RL algorithms written in JAX.

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

Soft Actor-Critic Algorithms and Applications

Distributional Reinforcement Learning with Quantile Regression

Implicit Quantile Networks for Distributional Reinforcement Learning

Improving Sample Efficiency in Model-Free Reinforcement Learning from Images

Stochastic Latent Actor-Critic: Deep Reinforcement Learning with a Latent Variable Model

Soft Actor-Critic for Discrete Action Settings

Controlling Overestimation Bias with Truncated Mixture of Continuous Distributional Quantile Critics

Fully Parameterized Quantile Function for Distributional Reinforcement Learning

DisCor: Corrective Feedback in Reinforcement Learning via Distribution Correction


KCWI data reduction pipeline. Developers: Don Neill, Matt Matuszewski, Chris Martin (Caltech)

Optically thin spatially resolved Mg II emission maps the escape of ionizing photons

Monthly notices of the Royal Astronomical Society

Circumgalactic Mg ii Emission from an Isotropic Starburst Galaxy Outflow Mapped by KCWI

Extreme chemical abundance ratio suggesting an exotic origin for an ultradiffuse galaxy

Spatially Resolved Stellar Kinematics of the Ultra-diffuse Galaxy Dragonfly 44. II. Constraints on Fuzzy Dark Matter

Integral Field Spectroscopy of Fast Outflows in Dwarf Galaxies with AGNs

The KBSS-KCWI survey: the connection between extended Ly alpha haloes and galaxy azimuthal angle at z similar to 2-3

Monthly Notices of the Royal Astronomical Society

Revisiting the gas kinematics in SSA22 Lyman-α Blob 1 with radiative transfer modelling in a multiphase, clumpy medium

The CGM at Cosmic Noon with KCWI: Outflows from a Star-forming Galaxy at z = 2.071

A complex multiphase DLA associated with a compact group at z = 2.431 traces accretion, outflows, and tidal streams

Where Outflows Meet Inflows: Gas Kinematics in SSA22 Lyman-α Blob 2 Decoded by Advanced Radiative Transfer Modelling


R package for inferring copy number from read depth

ReadDepth: A Parallel R Package for Detecting Copy Number Alterations from Short Sequencing Reads

Whole-genome CNV analysis: advances in computational approaches

Detection of False-Positive Deletions from the Database of Genomic Variants


A Watermark for Large Language Models

Provable Robust Watermarking for AI-Generated Text

On the Reliability of Watermarks for Large Language Models

Advancing Beyond Identification: Multi-bit Watermark for Large Language Models

Three Bricks to Consolidate Watermarks for Large Language Models

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