A curated list of awesome papers on dataset distillation and related applications.

Dataset Condensation with Gradient Matching

Optimizing Millions of Hyperparameters by Implicit Differentiation

Dataset Distillation

Dataset Condensation with Differentiable Siamese Augmentation

Dataset Condensation with Distribution Matching

Dataset Meta-Learning from Kernel Ridge-Regression

Dataset Distillation with Infinitely Wide Convolutional Networks

CAFE: Learning to Condense Dataset by Aligning Features

Generative Teaching Networks: Accelerating Neural Architecture Search by Learning to Generate Synthetic Training Data

Distilled One-Shot Federated Learning


Source code for Trase API and Frontend applications


Openai Gym with Dart support

OpenAI Gym

Multi-Goal Reinforcement Learning: Challenging Robotics Environments and Request for Research

Learning Fast Adaptation with Meta Strategy Optimization

Using Deep Reinforcement Learning for the Continuous Control of Robotic Arms

Expanding Motor Skills through Relay Neural Networks


Recent Fuzzing Paper

HFContractFuzzer: Fuzzing Hyperledger Fabric Smart Contracts for Vulnerability Detection

FREEDOM: Engineering a State-of-the-Art DOM Fuzzer

Conference on Computer and Communications Security

Learning input tokens for effective fuzzing

International Symposium on Software Testing and Analysis

PathAFL: Path-Coverage Assisted Fuzzing

Fuzzing SMT solvers via two-dimensional input space exploration

Fw‐fuzz: A code coverage‐guided fuzzing framework for network protocols on firmware

Concurrency and Computation: Practice and Experience

CMFuzz: context-aware adaptive mutation for fuzzers

KCFuzz: Directed Fuzzing Based on Keypoint Coverage

ESRFuzzer: an enhanced fuzzing framework for physical SOHO router devices to discover multi-Type vulnerabilities

From proof-of-concept to exploitable


Creative Commons Attribution 4.0 International

COVID19 case numbers of Cantons of Switzerland and Principality of Liechtenstein (FL). The data is updated at best once a day (times of collection and update may vary). Start with the README.

Assessing the impact of non-pharmaceutical interventions on SARS-CoV-2 transmission in Switzerland

Reproductive number of the COVID-19 epidemic in Switzerland with a focus on the Cantons of Basel-Stadt and Basel-Landschaft

COVID-19 as a window of opportunity for cycling: Evidence from the first wave

Early peak and rapid decline of SARS-CoV-2 seroprevalence in a Swiss metropolitan region

Are official confirmed cases and fatalities counts good enough to study the COVID-19 pandemic dynamics? A critical assessment through the case of Italy

A hybrid Neural Network-SEIR model for forecasting intensive care occupancy in Switzerland during COVID-19 epidemics

Clustering spatio-temporal series of confirmed COVID-19 deaths in Europe

Time is of the essence: containment of the SARS-CoV-2 epidemic in Switzerland from February to May 2020

The impact of face-mask mandates on all-cause mortality in Switzerland: a quasi-experimental study


End-to-End Speech Processing Toolkit

Hierarchical Conditional End-to-End ASR with CTC and Multi-Granular Subword Units

BERT Meets CTC: New Formulation of End-to-End Speech Recognition with Pre-trained Masked Language Model

Reproducing Whisper-Style Training Using An Open-Source Toolkit And Publicly Available Data

BECTRA: Transducer-based End-to-End ASR with BERT-Enhanced Encoder


Kubernetes Cluster Federation

Rearchitecting Kubernetes for the Edge

PROCEEDINGS OF THE 4TH INTERNATIONAL WORKSHOP ON EDGE SYSTEMS, ANALYTICS AND NETWORKING (EDGESYS'21)

An open source framework based on Kafka-ML for Distributed DNN inference over the Cloud-to-Things continuum

Orchestration in the Cloud-to-Things compute continuum: taxonomy, survey and future directions

Architecture Integration of 5G Networks and Time-Sensitive Networking with Edge Computing for Smart Manufacturing

Towards a Dynamic Composability Approach for using Heterogeneous Systems in Remote Sensing

Edge to Cloud Tools: A Multivocal Literature Review

Oakestra white paper: An Orchestrator for Edge Computing


Event-based Vision: A Survey

IEEE transactions on pattern analysis and machine intelligence

v2e: From Video Frames to Realistic DVS Events

Event-Based, 6-DOF Camera Tracking from Photometric Depth Maps

Globally Optimal Contrast Maximisation for Event-based Motion Estimation

Star Tracking using an Event Camera

Event-based Star Tracking via Multiresolution Progressive Hough Transforms

Event-based Background-Oriented Schlieren

Tight Fusion of Events and Inertial Measurements for Direct Velocity Estimation


[ACL2024 Findings] Towards Better Question Generation in QA-Based Event Extraction

LlamaFactory: Unified Efficient Fine-Tuning of 100+ Language Models

Event Extraction as Question Generation and Answering

Knowledge-to-SQL: Enhancing SQL Generation with Data Expert LLM


Meedan's Open Source Arabic/English Translation Memory

Critical Survey of the Freely Available Arabic Corpora

Semantic Similarity of Arabic Sentences with Word Embeddings

Proceedings of the Third Arabic Natural Language Processing Workshop

LIM-LIG at SemEval-2017 Task1: Enhancing the Semantic Similarity for Arabic Sentences with Vectors Weighting

Meeting of the Association for Computational Linguistics


Graph-based alignment (Hierarchical Graph FM index)

Esr1+ cells in the ventromedial hypothalamus control female aggression

Catalase (CAT) Gene Family in Rapeseed (Brassica napus L.): Genome-Wide Analysis, Identification, and Expression Pattern in Response to Multiple Hormones and Abiotic Stress Conditions

International journal of molecular sciences

Residual chlorine disrupts the microbial communities and spreads antibiotic resistance in freshwater

De novo transcriptome and phytochemical analyses reveal differentially expressed genes and characteristic secondary metabolites in the original oolong tea (Camellia sinensis) cultivar ‘Tieguanyin’ compared with cultivar ‘Benshan’

Gapless genome assembly of azalea and multi-omics investigation into divergence between two species with distinct flower color

Long Read Single-Molecule Real-Time Sequencing Elucidates Transcriptome-Wide Heterogeneity and Complexity in Esophageal Squamous Cells

Pig‐specific RNA editing during early embryo development revealed by genome‐wide comparisons

RNA-Seq Reveals the Underlying Molecular Mechanism of First Cleavage Time Affecting Porcine Embryo Development

Genome-wide characterization of Mariner-like transposons and their derived MITEs in the Whitefly Bemisia tabaci (Hemiptera: Aleyrodidae)

Transcriptomics reveals the molecular regulation of Chinese medicine formula on improving bone quality in broiler


CURL: Contrastive Unsupervised Representations for Reinforcement Learning

When to use parametric models in reinforcement learning?

Masked Contrastive Representation Learning for Reinforcement Learning

Learning Representations for Pixel-based Control: What Matters and Why?

Frustratingly Easy Regularization on Representation Can Boost Deep Reinforcement Learning

Learning State Representations from Random Deep Action-conditional Predictions


Code release for "Improved baselines for vision-language pre-training"

Learning Transferable Visual Models From Natural Language Supervision

Bootstrap your own latent: A new approach to self-supervised Learning

Exploring Simple Siamese Representation Learning

Unsupervised Learning of Visual Features by Contrasting Cluster Assignments

Barlow Twins: Self-Supervised Learning via Redundancy Reduction


Code for 1st place solution to Kaggle's Abstraction and Reasoning Challenge

The ConceptARC Benchmark: Evaluating Understanding and Generalization in the ARC Domain

LLMs and the Abstraction and Reasoning Corpus: Successes, Failures, and the Importance of Object-based Representations

Fast and flexible: Human program induction in abstract reasoning tasks

Neural-guided, Bidirectional Program Search for Abstraction and Reasoning

Reasoning Abilities of Large Language Models: In-Depth Analysis on the
  Abstraction and Reasoning Corpus

Solving ARC visual analogies with neural embeddings and vector arithmetic: A generalized method


[CoRL 2020] COG: Connecting New Skills to Past Experience with Offline Reinforcement Learning

Offline-to-Online Reinforcement Learning via Balanced Replay and Pessimistic Q-Ensemble

Offline RL With Realistic Datasets: Heteroskedasticity and Support Constraints

Accelerating Exploration with Unlabeled Prior Data


AdaptFormer: Adapting Vision Transformers for Scalable Visual Recognition

Convolutional Bypasses Are Better Vision Transformer Adapters

FacT: Factor-Tuning for Lightweight Adaptation on Vision Transformer

Foundation Ark: Accruing and Reusing Knowledge for Superior and Robust Performance

MEDICAL IMAGE COMPUTING AND COMPUTER ASSISTED INTERVENTION, MICCAI 2023, PT I


Membership Leakage in Label-Only Exposures

RelaxLoss: Defending Membership Inference Attacks without Losing Utility

A Cautionary Tale: On the Role of Reference Data in Empirical Privacy Defenses


Friends of Friends cluster finding in python.

Approximate Bayesian Computation in Large Scale Structure: constraining
  the galaxy-halo connection

Monthly Notices of the Royal Astronomical Society

The R-Process Alliance: Chemodynamically Tagged Groups of Halo r-process-enhanced Stars Reveal a Shared Chemical-evolution History

Possibilities and Limitations of Kinematically Identifying Stars from Accreted Ultra-faint Dwarf Galaxies

Morphological Evolution of the Hosts of Far-infrared/Submillimeter Galaxies


Pytorch code for: Min-max Entropy for Weakly Supervised Pointwise Localization

Deep Interpretable Classification and Weakly-Supervised Segmentation of Histology Images via Max-Min Uncertainty


Code for "Learning Deep Network Representations with Adversarially Regularized Autoencoders."

Deep Learning on Graphs: A Survey


S³FD: Single Shot Scale-invariant Face Detector, ICCV, 2017

S^3FD: Single Shot Scale-invariant Face Detector

Accurate Face Detection for High Performance

Continuous Trade-off Optimization between Fast and Accurate Deep Face Detectors


This is a new version of Learning Active Learning which uses reinforcement learning

Discovering General-Purpose Active Learning Strategies

Learning active learning at the crossroads? evaluation and discussion

Learning Objective-Specific Active Learning Strategies with Attentive Neural Processes


Nethack Learning Environment Wrapper for Language Interface

Sample Factory: Egocentric 3D Control from Pixels at 100000 FPS with Asynchronous Reinforcement Learning

Selective Perception: Optimizing State Descriptions with Reinforcement Learning for Language Model Actors

Selective Perception: Learning Concise State Descriptions for Language Model Actors

North American Chapter of the Association for Computational Linguistics


A DIRT-T Approach to Unsupervised Domain Adaptation (ICLR 2018)

Co-regularized Alignment for Unsupervised Domain Adaptation

Virtual Mixup Training for Unsupervised Domain Adaptation


Bayesian Adaptive Kernel Smoother

Estimation of neuronal firing rate using Bayesian Adaptive Kernel Smoother (BAKS)

Electro-optical mechanically flexible coaxial microprobes for minimally invasive interfacing with intrinsic neural circuits


Preserving Fairness Generalization in Deepfake Detection

Analyzing Fairness in Deepfake Detection With Massively Annotated Databases

AI-Face: A Million-Scale Demographically Annotated AI-Generated Face Dataset and Fairness Benchmark


The source code of article "Distinguish Confusing Law Articles for Legal Judgment Prediction", ACL 2020

Legal Judgment Prediction with Multi-Stage Case Representation Learning in the Real Court Setting

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

Augmenting Legal Judgment Prediction with Contrastive Case Relations

International Conference on Computational Linguistics


Dataset for the politeness transfer task

Deep Learning for Text Style Transfer: A Survey

A Review of Text Style Transfer using Deep Learning

IEEE Transactions on Artificial Intelligence

From theories on styles to their transfer in text: Bridging the gap with a hierarchical survey

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


A neural net trained over a person's personal photo collection to do face detection

FaceNet: A Unified Embedding for Face Recognition and Clustering

Learning Face Representation from Scratch

Privacy Risk in Machine Learning: Analyzing the Connection to Overfitting

The Unintended Consequences of Overfitting: Training Data Inference Attacks.


Code for ICLR 2023 paper (Oral) — Towards Stable Test-Time Adaptation in Dynamic Wild World

Benchmarking Neural Network Robustness to Common Corruptions and Perturbations

SoTTA: Robust Test-Time Adaptation on Noisy Data Streams

Active Test-Time Adaptation: Theoretical Analyses and An Algorithm

Test-Time Model Adaptation with Only Forward Passes

Optimization-Free Test-Time Adaptation for Cross-Person Activity Recognition

BECoTTA: Input-dependent Online Blending of Experts for Continual
  Test-time Adaptation

Each Test Image Deserves A Specific Prompt: Continual Test-Time Adaptation for 2D Medical Image Segmentation


A collection of Deep Reinforcement Learning algorithms implemented with PyTorch to solve Atari games and classic control tasks like CartPole, LunarLander, and MountainCar.

Playing Atari with Deep Reinforcement Learning

IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures

Safe and Efficient Off-Policy Reinforcement Learning

Agent57: Outperforming the Atari Human Benchmark

Recurrent Experience Replay in Distributed Reinforcement Learning

International Conference on Learning Representations

Never Give Up: Learning Directed Exploration Strategies

Read and Reap the Rewards: Learning to Play Atari with the Help of Instruction Manuals

An Empirical Comparison of Off-policy Prediction Learning Algorithms on the Collision Task


Code for the emrQA question answering dataset

A large language model for electronic health records

emrQA: A Large Corpus for Question Answering on Electronic Medical Records

GatorTron: A Large Clinical Language Model to Unlock Patient Information from Unstructured Electronic Health Records

CliniQG4QA: Generating Diverse Questions for Domain Adaptation of Clinical Question Answering

Entity-Enriched Neural Models for Clinical Question Answering

BioADAPT-MRC: adversarial learning-based domain adaptation improves biomedical machine reading comprehension task

cpgQA: A Benchmark Dataset for Machine Reading Comprehension Tasks on Clinical Practice Guidelines and a Case Study Using Transfer Learning

Automated Orthodontic Diagnosis from a Summary of Medical Findings

Proceedings of the 5th Clinical Natural Language Processing Workshop


xtractomactic using rerddap

Identifying Important Juvenile Dusky Shark Habitat in the Northwest Atlantic Ocean Using Acoustic Telemetry and Spatial Modeling

Seasonal Movements and Habitat Use of Juvenile Smooth Hammerhead Sharks in the Western North Atlantic Ocean and Significance for Management

Body Composition of Common Bottlenose Dolphins in Sarasota Bay, Florida

Sharks associated with a large sand shoal complex: Community insights from longline and acoustic telemetry surveys


Quasi-Periodic WaveNet Pytorch implementation

Quasi-Periodic Parallel WaveGAN: A Non-Autoregressive Raw Waveform Generative Model With Pitch-Dependent Dilated Convolution Neural Network

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

Quasi-Periodic WaveNet: An Autoregressive Raw Waveform Generative Model With Pitch-Dependent Dilated Convolution Neural Network

Quasi-Periodic WaveNet Vocoder: A Pitch Dependent Dilated Convolution Model for Parametric Speech Generation


Integrating taxonomic, functional, and strain-level profiling of diverse microbial communities with bioBakery 3

Metagenomic binning through low-density hashing

Carnelian: alignment-free functional binning and abundance estimation of metagenomic reads


CSV spreadsheets and other material for AI accelerator survey papers

1.1 Computing's energy problem (and what we can do about it)

International Solid-State Circuits Conference

The End of Moore's Law: A New Beginning for Information Technology

A new golden age for computer architecture

There’s plenty of room at the Top: What will drive computer performance after Moore’s law?

Domain-specific hardware accelerators

Survey and Benchmarking of Machine Learning Accelerators

IEEE High Performance Extreme Computing Conference

Survey of Machine Learning Accelerators

AI Accelerator Survey and Trends

The decline of computers as a general purpose technology

AI and ML Accelerator Survey and Trends


code for paper "(TGRS 2019) Hyperspectral Classification Based on Lightweight 3D-CNN with Transfer Learning"

Hyperspectral Classification Based on Lightweight 3-D-CNN With Transfer Learning

IEEE Transactions on Geoscience and Remote Sensing

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

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

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


Online Matrix/Tensor Factorization and applications to Network Dictionary Learning and images

Online matrix factorization for Markovian data and applications to Network Dictionary Learning

Sampling random graph homomorphisms and applications to network data analysis

Learning low-rank latent mesoscale structures in networks


Synchronization in electric power networks with inherent heterogeneity up to 100% inverter-based renewable generation

Open-Source PSCAD Grid-Following and Grid-Forming Inverters and A Benchmark for Zero-Inertia Power System Simulations

2021 IEEE Kansas Power and Energy Conference (KPEC)

Interactive Power to Frequency Dynamics Between Grid-Forming Inverters and Synchronous Generators in Power Electronics-Dominated Power Systems

Droop-e: Exponential Droop as a Function of Power Output for Grid-Forming Inverters with Autonomous Power Sharing


Submission to Kaggle NIPS'17 competition on adversarial examples (non-targeted adversarial attack track)

Feature Denoising for Improving Adversarial Robustness

Exploiting Deep Generative Prior for Versatile Image Restoration and Manipulation

Adversarial Attacks and Defences Competition

The Springer series on challenges in machine learning

Adversarial Transformation Networks: Learning to Generate Adversarial Examples


Fine-grained Event Categorization with Heterogeneous Graph Convolutional Networks

Knowledge-Preserving Incremental Social Event Detection via Heterogeneous GNNs

Relational Prompt-based Pre-trained Language Models for Social Event
  Detection


Sample-level Deep Convolutional Neural Networks for Music Auto-tagging Using Raw Waveforms

Multi-Level and Multi-Scale Feature Aggregation Using Pretrained Convolutional Neural Networks for Music Auto-Tagging

Supervised and Unsupervised Learning of Audio Representations for Music Understanding

Multi-Level and Multi-Scale Feature Aggregation Using Sample-level Deep Convolutional Neural Networks for Music Classification

Locally Activated Gated Neural Network for Automatic Music Genre Classification

On The Effect Of Data-Augmentation On Local Embedding Properties In The Contrastive Learning Of Music Audio Representations

Similar but Faster: Manipulation of Tempo in Music Audio Embeddings for Tempo Prediction and Search


Imitation Learning via Off-Policy Distribution Matching

Off-Policy Imitation Learning from Observations

A Coupled Flow Approach to Imitation Learning

DiffAIL: Diffusion Adversarial Imitation Learning


This is for releasing the source code of the ACSAC paper "STRIP: A Defence Against Trojan Attacks on Deep Neural Networks"

Backdoor Attacks and Countermeasures on Deep Learning: A Comprehensive Review

Detecting Backdoors During the Inference Stage Based on Corruption Robustness Consistency

Quantization Backdoors to Deep Learning Commercial Frameworks

Jujutsu: A Two-stage Defense against Adversarial Patch Attacks on Deep Neural Networks

HaS-Nets: A Heal and Select Mechanism to Defend DNNs Against Backdoor Attacks for Data Collection Scenarios

IBD-PSC: Input-level Backdoor Detection via Parameter-oriented Scaling
  Consistency

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

Watch Out! Simple Horizontal Class Backdoor Can Trivially Evade Defense


Revisiting Pre-trained Models for Chinese Natural Language Processing (MacBERT)

Revisiting Pre-Trained Models for Chinese Natural Language Processing

PERT: Pre-training BERT with Permuted Language Model

Building Chinese Biomedical Language Models via Multi-Level Text Discrimination

FCGEC: Fine-Grained Corpus for Chinese Grammatical Error Correction

Chinese WPLC: A Chinese Dataset for Evaluating Pretrained Language Models on Word Prediction Given Long-Range Context

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

CAT-LLM: Prompting Large Language Models with Text Style Definition for Chinese Article-style Transfer

CLOWER: A Pre-trained Language Model with Contrastive Learning over Word and Character Representations


a tool for identifying circular RNAs using RNA-Seq data

Biogenesis, identification, and function of exonic circular RNAs

Silencing of circRACGAP1 Sensitizes Gastric Cancer Cells to Apatinib via Modulating Autophagy by Targeting miR-3657 and ATG7

Circular RNAs in the cardiovascular system

Expression profile of circular RNAs in infantile hemangioma detected by RNA-Seq

Circular RNA circGlis3 protects against islet β-cell dysfunction and apoptosis in obesity


Peak calling for 4C data

WAPL maintains a cohesin loading cycle to preserve cell-type-specific distal gene regulation

Integration of human pancreatic islet genomic data refines regulatory mechanisms at Type 2 Diabetes susceptibility loci

peakC: a flexible, non-parametric peak calling package for 4C and Capture-C data

Benchmarking of 4C-seq pipelines based on real and simulated data


Bounding box detection of drones (small scale quadcopters) with CNTK Fast R-CNN

Deep Learning on Multi Sensor Data for Counter UAV Applications—A Systematic Review

Decentralized Federated Learning: Fundamentals, State of the Art, Frameworks, Trends, and Challenges

Drone Detection and Tracking in Real-Time by Fusion of Different Sensing Modalities


OptiX 7 Powered Realtime Acoustic Raytracing

Overview of geometrical room acoustic modeling techniques

The Journal of the Acoustical Society of America

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

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

Multi-channel IIR filtering of audio signals using a GPU

International Conference on Acoustics, Speech, and Signal Processing

GPU-based image method for room impulse response calculation

A real-time crosstalk canceller on a notebook GPU

International Conference on Multimedia and Expo

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


An improved model of diffuse galactic radio emission from 10 MHz to 5 THz

Monthly Notices of the Royal Astronomical Society

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

Packed Ultra-wideband Mapping Array (PUMA): Astro2020 RFI Response


A realistic simulator of Active Directory domains

Scalable Edge Blocking Algorithms for Defending Active Directory Style Attack Graphs

Catch Me if You Can: Effective Honeypot Placement in Dynamic AD Attack Graphs

Limited Query Graph Connectivity Test

Optimizing Cyber Response Time on Temporal Active Directory Networks Using Decoys


Implementation of various state of the art architectures used in computer vision.

Attention Is All You Need

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

TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation

MLP-Mixer: An all-MLP Architecture for Vision

Single Image Super-Resolution via a Holistic Attention Network

Fastformer: Additive Attention Can Be All You Need


Potential Field Source Surface model in a spherical shell, using finite differences.

Magnetic Connectivity of the Ecliptic Plane within 0.5 au: Potential Field Source Surface Modeling of the First Parker Solar Probe Encounter

The Astrophysical Journal Supplement Series

Magnetic Structures at the Boundary of the Closed Corona: Interpretation of S-Web Arcs

Prediction of the Sun’s Coronal Magnetic Field and Forward-modeled Polarization Characteristics for the 2019 July 2 Total Solar Eclipse

Small-scale Turbulent Motion of the Plasma in a Solar Filament as the Precursor of Eruption


Deep identification of symbolic open-form PDEs via enhanced reinforcement-learning

Physics-constrained robust learning of open-form partial differential equations from limited and noisy data

DISCOVER: Deep identification of symbolically concise open-form PDEs via enhanced reinforcement-learning

Empowering Machines to Think Like Chemists: Unveiling Molecular Structure-Polarity Relationships with Hierarchical Symbolic Regression


This repository implements variational graph auto encoder by Thomas Kipf.

Variational Graph Auto-Encoders

Learning from Counterfactual Links for Link Prediction

Handling Missing Data via Max-Entropy Regularized Graph Autoencoder

Revisiting Latent-Space Interpolation via a Quantitative Evaluation Framework

Environment-Aware Dynamic Graph Learning for Out-of-Distribution Generalization

Network Alignment with Transferable Graph Autoencoders

Dynamic Graph Information Bottleneck

Region Anomaly Detection via Spatial and Semantic Attributed Graph in Human Monitoring


Code for MOBILE: Model-Bellman Inconsistency Penalized Offline Policy Optimization

Model-Bellman Inconsistency for Model-based Offline Reinforcement Learning

International Conference on Machine Learning

Reward-Consistent Dynamics Models are Strongly Generalizable for Offline Reinforcement Learning


[ICLR 2023] LDMIC: Learning-based Distributed Multi-view Image Coding

CompressAI: a PyTorch library and evaluation platform for end-to-end compression research

Checkerboard Context Model for Efficient Learned Image Compression


Towards the Automatic Classification of Avian Flight Calls for Bioacoustic Monitoring

Comparison of passive acoustic soniferous fish monitoring with supervised and unsupervised approaches.

Evaluation of various feature sets and feature selection towards automatic recognition of bird species

International journal of computer application and technology

Song recorded near a super-group of humpback whales on a mid-latitude feeding ground off South Africa

Click reception in the harbor porpoise (Phocoena phocoena): Effects of electrode and contact transducer location on the auditory brainstem response

Unknown beaked whale echolocation signals recorded off eastern New Zealand


Differentiable DAG Sampling (ICLR 2022)

Differentiable DAG Sampling

BayesDAG: Gradient-Based Posterior Inference for Causal Discovery


Neural likelihood-free methods in PyTorch.

Sequential Neural Likelihood: Fast Likelihood-free Inference with Autoregressive Flows

Automatic Posterior Transformation for Likelihood-Free Inference

SBI -- A toolkit for simulation-based inference

Likelihood-free MCMC with Amortized Approximate Ratio Estimators

On Contrastive Learning for Likelihood-free Inference


Offline-to-Online Reinforcement Learning via Balanced Replay and Pessimistic Q-Ensemble

Policy Expansion for Bridging Offline-to-Online Reinforcement Learning

A Perspective of Q-value Estimation on Offline-to-Online Reinforcement Learning

Train Once, Get a Family: State-Adaptive Balances for Offline-to-Online Reinforcement Learning


Compound Probabilistic Context-Free Grammars for Grammar Induction

Depth-Bounded Statistical PCFG Induction as a Model of Human Grammar Acquisition

International Conference on Computational Logic

Improved Latent Tree Induction with Distant Supervision via Span Constraints

Ensemble Distillation for Unsupervised Constituency Parsing

Using Roark-Hollingshead Distance to Probe BERT’s Syntactic Competence

Proceedings of the Fifth BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP


Extracts contigs harbouring a target gene / sequence from assemblies and aligns the contigs around the target sequence

Translating genomics into practice for real-time surveillance and response to carbapenemase-producing Enterobacteriaceae: evidence from a complex multi-institutional KPC outbreak

Rapid Emergence and Evolution of Staphylococcus aureus Clones Harboring fusC-Containing Staphylococcal Cassette Chromosome Elements

Genomic Epidemiology and Global Population Structure of Exfoliative Toxin A-Producing Staphylococcus aureus Strains Associated With Staphylococcal Scalded Skin Syndrome


rhierbaps: R implementation of hierBAPS

ModelFinder: fast model selection for accurate phylogenetic estimates

phytools: an R package for phylogenetic comparative biology (and other things)

ggtree: an R package for visualization and annotation of phylogenetic trees with their covariates and other associated data

Hierarchical and Spatially Explicit Clustering of DNA Sequences with BAPS Software

Cross-transmission Is Not the Source of New Mycobacterium abscessus Infections in a Multicenter Cohort of Cystic Fibrosis Patients

Genetic Characterization of Extensively Drug-Resistant Shigella sonnei Infections, Spain, 2021-2022.


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

GloVe: Global Vectors for Word Representation

Empirical Methods in Natural Language Processing

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

Neural Machine Translation by Jointly Learning to Align and Translate

Convolutional Neural Networks for Sentence Classification

Recursive Deep Models for Semantic Compositionality Over a Sentiment Treebank

Ask Me Anything: Dynamic Memory Networks for Natural Language Processing

A Simple Way to Initialize Recurrent Networks of Rectified Linear Units

On Multilingual Training of Neural Dependency Parsers


Code for NeurIPS 2020 paper: "Estimating the Effects of Continuous-valued Interventions using Generative Adversarial Networks" by I. Bica, J. Jordon, M. van der Schaar

Reliable Off-Policy Learning for Dosage Combinations


signatselect: Identifying signatures of selection

Detecting evolutionary forces in language change

Identifying Signatures of Selection in Genetic Time Series

A non-equilibrium neutral model for analysing cultural change


Genetic maps interpolated to sites in the 1000 Genomes project

IBD risk loci are enriched in multigenic regulatory modules encompassing putative causative genes

Extended data: Impact of admixture and ancestry on eQTL analysis and GWAS colocalization in GTEx

Zenodo (CERN European Organization for Nuclear Research)

Endogenization and excision of human herpesvirus 6 in human genomes

Genome-Wide Linkage Analysis of Large Multiple Multigenerational Families Identifies Novel Genetic Loci for Coronary Artery Disease

SUMMIT: An integrative approach for better transcriptomic data imputation improves causal gene identification

East Asian-specific and cross-ancestry genome-wide meta-analyses provide mechanistic insights into peptic ulcer disease


Repository for the R package EPIC, to Estimate the Proportion of Immune and Cancer cells from bulk gene expression data.

Simultaneous enumeration of cancer and immune cell types from bulk tumor gene expression data

EPIC: A Tool to Estimate the Proportions of Different Cell Types from Bulk Gene Expression Data

Methods in molecular biology (Clifton, N.J.)

PUREE: accurate pan-cancer tumor purity estimation from gene expression data

The Abundance of Tumor-Infiltrating CD8+ Tissue Resident Memory T Lymphocytes Correlates with Patient Survival in Glioblastoma


A Deep Reinforcement Learning Framework for the Financial Portfolio Management Problem

Cryptocurrency Portfolio Management with Deep Reinforcement Learning

Adversarial Deep Reinforcement Learning in Portfolio Management

Reinforcement-Learning based Portfolio Management with Augmented Asset Movement Prediction States


Official repository of CVPR 2020 paper "On Translation Invariance in CNNs: Convolutional Layers can Exploit Absolute Spatial Location"

Deep Residual Learning for Image Recognition

Natural Adversarial Examples

Working hard to know your neighbor's margins: Local descriptor learning loss

Knowledge Transferred Fine-Tuning: Convolutional Neural Network Is Born Again With Anti-Aliasing Even in Data-Limited Situations

Unveiling The Mask of Position-Information Pattern Through the Mist of Image Features


This is a package to access the ClimateSERV API


Exploiting BERT to Improve Aspect-Based Sentiment Analysis Performance on Persian Language

Pars-ABSA: an Aspect-based Sentiment Analysis dataset for Persian

Pars-ABSA: a Manually Annotated Aspect-based Sentiment Analysis Benchmark on Farsi Product Reviews

LREC 2022: THIRTEEN INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION


Pytorch implementation of "Safe Exploration in Continuous Action Spaces" [Dalal et al.]

Continuous control with deep reinforcement learning

Reduced Policy Optimization for Continuous Control with Hard Constraints


A list of datasets, tools, papers and code related to Deepfakes.

SimSwap: An Efficient Framework For High Fidelity Face Swapping

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

LinesToFacePhoto: Face Photo Generation from Lines with Conditional Self-Attention Generative Adversarial Network

FakePolisher: Making DeepFakes More Detection-Evasive by Shallow Reconstruction

DeepFacePencil: Creating Face Images from Freehand Sketches

Talking Face Generation with Expression-Tailored Generative Adversarial Network


Official source code for "Continual 3D Convolutional Neural Networks for Real-time Processing of Videos" [ECCV2022]

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

SlowFast Networks for Video Recognition

X3D: Expanding Architectures for Efficient Video Recognition


CREAK: A Dataset for Commonsense Reasoning over Entity Knowledge

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

SituatedGen: Incorporating Geographical and Temporal Contexts into Generative Commonsense Reasoning


Parallelizing DRL for Active Flow control

Accelerating deep reinforcement learning strategies of flow control through a multi-environment approach

Robust and adaptive deep reinforcement learning for enhancing flow control around a square cylinder with varying Reynolds numbers

Deep reinforcement learning-based active flow control of an elliptical cylinder: Transitioning from an elliptical cylinder to a circular cylinder and a flat plate

Effect of Synthetic Jets Actuator Parameters on Deep Reinforcement
  Learning-Based Flow Control Performance in a Square Cylinder


Graph Self-Supervised Learning: A Survey

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

Leveraging Meta-path Contexts for Classification in Heterogeneous Information Networks

Hierarchical Contrastive Learning Enhanced Heterogeneous Graph Neural Network

B2-Sampling: Fusing Balanced and Biased Sampling for Graph Contrastive Learning

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining


Generates initial conditions for cosmological N-body simulations, optionally applying Particle Linear Theory corrections.

ABACUSSUMMIT: a massive set of high-accuracy, high-resolution N-body simulations

Monthly notices of the Royal Astronomical Society

The Abacus Cosmos: A Suite of Cosmological N-body Simulations

Improving initial conditions for cosmological N-body simulations

The abacus cosmological N-body code

A fast semidiscrete optimal transport algorithm for a unique reconstruction of the early Universe

The DESI N-body simulation project – I. Testing the robustness of simulations for the DESI dark time survey

Isolating the linear signal when making redshift space distortion measurements

CLASS-OneLoop: accurate and unbiased inference from spectroscopic galaxy surveys


Dataset & Code for Com2Sense Benchmark

SemEval-2020 Task 4: Commonsense Validation and Explanation

COM2SENSE: A Commonsense Reasoning Benchmark with Complementary Sentences

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

Crystal: Introspective Reasoners Reinforced with Self-Feedback


Regularly updated list of publicly available datasets with single-cell (scRNAseq) and T-cell/antibody immune repertoire (AIRR / RepSeq / immunosequencing) data of COVID-19 patients with SARS-CoV-2.

A molecular cell atlas of the human lung from single cell RNA sequencing

Potent Neutralizing Antibodies against SARS-CoV-2 Identified by High-Throughput Single-Cell Sequencing of Convalescent Patients’ B Cells

SARS-CoV-2 receptor ACE2 and TMPRSS2 are primarily expressed in bronchial transient secretory cells

Immune cell profiling of COVID-19 patients in the recovery stage by single-cell sequencing

Human B Cell Clonal Expansion and Convergent Antibody Responses to SARS-CoV-2

bioRxiv : the preprint server for biology

The landscape of lung bronchoalveolar immune cells in COVID-19 revealed by single-cell RNA sequencing

Longitudinal high-throughput TCR repertoire profiling reveals the dynamics of T cell memory formation after mild COVID-19 infection

Identification of Candidate COVID-19 Therapeutics using hPSC-derived Lung Organoids

Bulk and single-cell gene expression profiling of SARS-CoV-2 infected human cell lines identifies molecular targets for therapeutic intervention

Single-cell longitudinal analysis of SARS-CoV-2 infection in human airway epithelium


Labeled data for homograph disambiguation

The Taxonomy of Writing Systems: How to Measure How Logographic a System Is

SoundChoice: Grapheme-to-Phoneme Models with Semantic Disambiguation

Multilingual context-based pronunciation learning for Text-to-Speech


Federated posterior averaging implemented in JAX

Adaptive Federated Optimization

Federated Learning via Posterior Averaging: A New Perspective and Practical Algorithms


Multiclass classification based on stochastic dual coordinate ascent

Analysis and Optimization of Loss Functions for Multiclass, Top-k, and Multilabel Classification

Loss Functions for Top-k Error: Analysis and Insights

Top-k Multiclass SVM


Code for using CDEP from the paper "Interpretations are useful: penalizing explanations to align neural networks with prior knowledge" https://arxiv.org/abs/1909.13584

Definitions, methods, and applications in interpretable machine learning

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

Uncovering and Correcting Shortcut Learning in Machine Learning Models for Skin Cancer Diagnosis

A Typology for Exploring the Mitigation of Shortcut Behavior

Disentangled Attribution Curves for Interpreting Random Forests and Boosted Trees

Interpreting and improving deep-learning models with reality checks


Code for the paper "Unsupervised Contrastive Learning of Sound Event Representations", ICASSP 2021.

Self-Supervised Learning from Automatically Separated Sound Scenes

SpliceOut: A Simple and Efficient Audio Augmentation Method


[ECCV 2024 Best Paper Candidate] PointLLM: Empowering Large Language Models to Understand Point Clouds

3D-LLM: Injecting the 3D World into Large Language Models

Point-Bind & Point-LLM: Aligning Point Cloud with Multi-modality for 3D Understanding, Generation, and Instruction Following


Detecting Emergent Intersectional Biases: Contextualized Word Embeddings Contain a Distribution of Human-like Biases

National Conference on Artificial Intelligence

Measuring Fairness with Biased Rulers: A Comparative Study on Bias Metrics for Pre-trained Language Models

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

Mitigating Gender Bias in Distilled Language Models via Counterfactual Role Reversal


Sloika is Oxford Nanopore Technologies' software for training neural network models for base calling

Performance of neural network basecalling tools for Oxford Nanopore sequencing

An Introduction to Nanopore Sequencing: Past, Present, and Future Considerations

Estimated Nucleotide Reconstruction Quality Symbols of Basecalling Tools for Oxford Nanopore Sequencing


GraphAF: a Flow-based Autoregressive Model for Molecular Graph Generation

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

Graph-based Molecular Representation Learning

3DLinker: An E(3) Equivariant Variational Autoencoder for Molecular Linker Design


基于PaddlePaddle框架的异常检测算法复现

Towards Total Recall in Industrial Anomaly Detection

PaDiM: a Patch Distribution Modeling Framework for Anomaly Detection and Localization

Modeling the Distribution of Normal Data in Pre-Trained Deep Features for Anomaly Detection

Semi-orthogonal Embedding for Efficient Unsupervised Anomaly Segmentation


Zero-order Reaction Kinetics (Zero-RK) is a software package that simulates chemically reacting systems in a computationally efficient manner.

Faster solvers for large kinetic mechanisms using adaptive preconditioners

Autoignition behavior of gasoline/ethanol blends at engine-relevant conditions

The role of correlations in uncertainty quantification of transportation relevant fuel models

Sparse, iterative simulation methods for one-dimensional laminar flames

Cloud based tool for analysis of chemical kinetic mechanisms

A tangent linear approximation of the ignition delay time. I: Sensitivity to rate parameters

A computationally-efficient method for flamelet calculations


NMF Code for calculating components from Brain imaging data.

An exact penalty approach for optimization with nonnegative orthogonality constraints

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

Journal of psychiatry & neuroscience : JPN

Development of white matter fiber covariance networks supports executive function in youth

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

Mapping the macrostructure and microstructure of the in vivo human hippocampus using diffusion MRI

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


TIMME: Twitter Ideology-detection via Multi-task Multi-relational Embedding (code & data)

Predicting the Silent Majority on Graphs: Knowledge Transferable Graph Neural Network

Party Prediction for Twitter


Automatic Speech Recognition Benchmark for Air-Traffic Communications

Bertraffic: Bert-Based Joint Speaker Role and Speaker Change Detection for Air Traffic Control Communications

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


Official Implementation of ICLR 2024 paper: "Reasoning on Graphs: Faithful and Interpretable Large Language Model Reasoning"

GNN-RAG: Graph Neural Retrieval for Large Language Model Reasoning

KnowGPT: Knowledge Graph based Prompting for Large Language Models


[EMNLP 2020] Collective HumAn OpinionS on Natural Language Inference Data

What Can We Learn from Collective Human Opinions on Natural Language Inference Data?

Distributed NLI: Learning to Predict Human Opinion Distributions for Language Reasoning


Priority Inheritance with Backtracking for Iterative Multi-agent Path Finding (AIJ-22)

Improving LaCAM for Scalable Eventually Optimal Multi-Agent Pathfinding

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


A repository for the development of data analysis tools for replica exchange molecular dynamics (REMD) simulations

Free Energy Perturbation Hamiltonian Replica-Exchange Molecular Dynamics (FEP/H-REMD) for Absolute Ligand Binding Free Energy Calculations

Journal of chemical theory and computation

Enhanced Conformational Sampling Using Replica Exchange with Collective-Variable Tempering

Optimization of Umbrella Sampling Replica Exchange Molecular Dynamics by Replica Positioning.

Ensemble-Based Replica Exchange Alchemical Free Energy Methods: The Effect of Protein Mutations on Inhibitor Binding

Adaptive Biasing Combined with Hamiltonian Replica Exchange to Improve Umbrella Sampling Free Energy Simulations

Efficient Sampling and Characterization of Free Energy Landscapes of Ion-Peptide Systems

On-line Optimization of Hamiltonian Replica Exchange Simulations


The official implementation for ICLR22 paper "Handling Distribution Shifts on Graphs: An Invariance Perspective"

Demystifying Structural Disparity in Graph Neural Networks: Can One Size Fit All?

Improving Generalizability of Graph Anomaly Detection Models via Data Augmentation

GraphPatcher: Mitigating Degree Bias for Graph Neural Networks via Test-time Augmentation

Learning Invariant Representations of Graph Neural Networks via Cluster Generalization

MARIO: Model Agnostic Recipe for Improving OOD Generalization of Graph Contrastive Learning


An `R` package for various phylogenetic and evolutionary biology data manipulations

Genomic Analysis of Fluoroquinolone- and Tetracycline-Resistant Campylobacter jejuni Sequence Type 6964 in Humans and Poultry, New Zealand, 2014-2016

Optimising genomic approaches for identifying vancomycin-resistant Enterococcus faecium transmission in healthcare settings

An ST131 clade and a phylogroup A clade bearing an O101-like O-antigen cluster predominate among bloodstream Escherichia coli isolates from South-West Nigeria hospitals

Molecular Epidemiology of the Norwegian SARS-CoV-2 Delta Lineage AY.63

Host DNA depletion on frozen human respiratory samples enables successful metagenomic sequencing for microbiome studies


Official implementation for the paper "Offline Meta RL - Identifiability Challenges and Effective Data Collection Strategies", NeurIPS 2021.

Offline Meta-Reinforcement Learning with Online Self-Supervision

Offline Meta Reinforcement Learning -- Identifiability Challenges and Effective Data Collection Strategies

Offline Meta Learning of Exploration

Adapting to Mixing Time in Stochastic Optimization with Markovian Data


A Pytorch implementation of StarGAN-VC2

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

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

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


Code for ACL2020 paper: Few-shot Slot Tagging with Collapsed Dependency Transfer and Label-enhanced Task-adaptive Projection Network

Learning from Miscellaneous Other-Class Words for Few-shot Named Entity Recognition

ConVEx: Data-Efficient and Few-Shot Slot Labeling

Unifying Token- and Span-level Supervisions for Few-shot Sequence Labeling


X (weighted / probabilistic) Context-Free Grammars

Compound Probabilistic Context-Free Grammars for Grammar Induction

Unsupervised Recurrent Neural Network Grammars

Unsupervised Latent Tree Induction with Deep Inside-Outside Recursive Autoencoders

Visually Grounded Neural Syntax Acquisition

Meeting of the Association for Computational Linguistics

The Return of Lexical Dependencies: Neural Lexicalized PCFGs

PCFGs Can Do Better: Inducing Probabilistic Context-Free Grammars with Many Symbols

An Empirical Study of Compound PCFGs


AskUbuntu Question Dataset

Rationalizing Neural Predictions

MTEB: Massive Text Embedding Benchmark

Rethinking Cooperative Rationalization: Introspective Extraction and Complement Control

End-to-End Retrieval in Continuous Space

Auto-MLM: Improved Contrastive Learning for Self-supervised Multi-lingual Knowledge Retrieval


90%+ with 40 labels. please see the readme for details.

FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence

Clustering by Maximizing Mutual Information Across Views

Unsupervised Semantic Aggregation and Deformable Template Matching for Semi-Supervised Learning

Building One-Shot Semi-supervised (BOSS) Learning up to Fully Supervised Performance


Implementation of CURIOUS: Intrinsically Motivated Modular Multi-Goal Reinforcement Learning

Continuous control with deep reinforcement learning

Hindsight Experience Replay

Multi-Goal Reinforcement Learning: Challenging Robotics Environments and Request for Research


Code and model for "Peeking into the Future: Predicting Future Person Activities and Locations in Videos", Liang et al, CVPR 2019

Deep Learning for Vision-based Prediction: A Survey

From Recognition to Prediction: Analysis of Human Action and Trajectory Prediction in Video


an implementation of softmax splatting for differentiable forward warping using PyTorch

Softmax Splatting for Video Frame Interpolation

FILM: Frame Interpolation for Large Motion

ST-MFNet: A Spatio-Temporal Multi-Flow Network for Frame Interpolation


Modelling simple atoms and 87Rb in cavity-QED.

Pushing Purcell enhancement beyond its limits

Nonlinear Zeeman effects in the cavity-enhanced emission of polarised photons

Polarization Oscillations in Birefringent Emitter-Cavity Systems


MOLI: Multi-Omics Late Integration with deep neural networks for drug response prediction

MOLI: multi-omics late integration with deep neural networks for drug response prediction

Machine learning for multi-omics data integration in cancer

Deep learning assisted multi-omics integration for survival and drug-response prediction in breast cancer

Trends and Potential of Machine Learning and Deep Learning in Drug Study at Single-Cell Level

A Fair Experimental Comparison of Neural Network Architectures for Latent Representations of Multi-Omics for Drug Response Prediction


A prediction model for differential gene expression (DE) based on genome-wide regulatory interactions

Predicting effective microRNA target sites in mammalian mRNAs

GTRD: a database on gene transcription regulation—2019 update

POSTAR2: deciphering the post-transcriptional regulatory logics

Deep learning decodes the principles of differential gene expression


BioGeography with Bayesian (and likelihood) Evolutionary Analysis with R Scripts

Global radiation in a rare biosphere soil diatom

Incorporating Topological and Age Uncertainty into Event-Based Biogeography of Sand Spiders Supports Paleo-Islands in Galapagos and Ancient Connections among Neotropical Dry Forests

Evolutionary Relationships and Range Evolution of Greenhood Orchids (Subtribe Pterostylidinae): Insights From Plastid Phylogenomics

Phylotranscriptomics Shed Light on Intrageneric Relationships and Historical Biogeography of Ceratozamia (Cycadales)

Repeatedly Northwards and Upwards: Southern African Grasslands Fuel the Colonization of the African Sky Islands in Helichrysum (Compositae)


paper collection for recommendation aspet

Progressive Layered Extraction (PLE): A Novel Multi-Task Learning (MTL) Model for Personalized Recommendations

RECSYS 2020: 14TH ACM CONFERENCE ON RECOMMENDER SYSTEMS

A pareto-efficient algorithm for multiple objective optimization in e-commerce recommendation

RECSYS 2019: 13TH ACM CONFERENCE ON RECOMMENDER SYSTEMS

Automated Embedding Size Search in Deep Recommender Systems

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

Addressing Delayed Feedback for Continuous Training with Neural Networks in CTR prediction

Unbiased Ad Click Prediction for Position-aware Advertising Systems

GMCM: Graph-based Micro-behavior Conversion Model for Post-click Conversion Rate Estimation

Field-aware probabilistic embedding neural network for CTR prediction

Dual-attentional Factorization-Machines based Neural Network for User Response Prediction

WWW'20: COMPANION PROCEEDINGS OF THE WEB CONFERENCE 2020

Task-distribution-aware Meta-learning for Cold-start CTR Prediction


Control and design of two-photon photostimulation experiments

How many neurons are sufficient for perception of cortical activity?

Cortico-cortical feedback engages active dendrites in visual cortex

Propagation of activity through the cortical hierarchy and perception are determined by neural variability

The influence of cortical activity on perception depends on behavioral state and sensory context


PyTorch implementations of CNNs and domain-bridging algorithms used in baseline studies of SPEED+ dataset

SPEED+: Next-Generation Dataset for Spacecraft Pose Estimation across Domain Gap

Towards Robust Learning-Based Pose Estimation of Noncooperative Spacecraft

Pose Estimation for Non-Cooperative Rendezvous Using Neural Networks

A Survey on Deep Learning-Based Monocular Spacecraft Pose Estimation: Current State, Limitations and Prospects


Implementation of Meta-Learning with Latent Embedding Optimization

Interventional Few-Shot Learning

Deep Amortized Clustering

Structured Prediction for Conditional Meta-Learning

A Structured Prediction Approach for Conditional Meta-Learning.


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

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

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


Certifiable Robustness to Graph Perturbations

Adversarial Attack and Defense on Graph Data: A Survey

(Provable) Adversarial Robustness for Group Equivariant Tasks: Graphs, Point Clouds, Molecules, and More


TSAR2022 Shared Task on Lexical Simplification - Datasets and Evaluation scripts

Lexical Simplification Benchmarks for English, Portuguese, and Spanish

MultiLS-SP/CA: Lexical Complexity Prediction and Lexical Simplification
  Resources for Catalan and Spanish


Time-Scale Modification For MATLAB

Time-Scale Modification Using Fuzzy Epoch-Synchronous Overlap-Add (FESOLA)

Workshop on Applications of Signal Processing to Audio and Acoustics

A time-scale modification dataset with subjective quality labels

The Journal of the Acoustical Society of America

An Objective Measure of Quality for Time-Scale Modification of Audio

Stereo Time-Scale Modification Using Sum and Difference Transformation

International Conference on Signal Processing and Communication Systems

Deep Learning-Based Single-Ended Objective Quality Measures for Time-Scale Modified Audio


Backdoor Defense via Decoupling the Training Process

Backdoor Defense via Deconfounded Representation Learning

Beating Backdoor Attack at Its Own Game


Versatile Generative Language Model

Exploring Versatile Generative Language Model Via Parameter-Efficient Transfer Learning

Tailor: A Prompt-Based Approach to Attribute-Based Controlled Text Generation

Tailor: A Soft-Prompt-Based Approach to Attribute-Based Controlled Text Generation

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


Odyssey: a public, GPU-based  GRRT (general relativistic radiative transfer) code

A ring-like accretion structure in M87 connecting its black hole and jet

ODYSSEY: A PUBLIC GPU-BASED CODE FOR GENERAL RELATIVISTIC RADIATIVE TRANSFER IN KERR SPACETIME

Black hole shadow with soft hairs

Comparison of Polarized Radiative Transfer Codes Used by the EHT Collaboration


A PyTorch implementation of state of the art video captioning models from 2015-2019 on MSVD and MSRVTT datasets.

Sequence to Sequence -- Video to Text

Describing Videos by Exploiting Temporal Structure

Translating Videos to Natural Language Using Deep Recurrent Neural Networks

Reconstruction Network for Video Captioning

Memory-Attended Recurrent Network for Video Captioning


A Python package for learning, evaluating, annotating, and extracting vector representations of construction grammars

Modeling the Complexity and Descriptive Adequacy of Construction Grammars

Global Syntactic Variation in Seven Languages: Toward a Computational Dialectology

Finding variants for construction-based dialectometry: A corpus-based approach to regional CxGs

Frequency vs. Association for Constraint Selection in Usage-Based Construction Grammar

Multi-unit association measures

Exposure and emergence in usage-based grammar: computational experiments in 35 languages

Production vs Perception: The Role of Individuality in Usage-Based Grammar Induction

Exploring the Constructicon: Linguistic Analysis of a Computational CxG

Syntactic Variation Across the Grammar: Modelling a Complex Adaptive System


Ten Thousand German News Articles Dataset for Topic Classification

German BERT Model for Legal Named Entity Recognition

Proceedings of the 15th International Conference on Agents and Artificial Intelligence

More Than Words: Collocation Retokenization for Latent Dirichlet Allocation Models

Findings of the Association for Computational Linguistics: ACL 2022

German FinBERT: A German Pre-trained Language Model


Toward Hierarchical Self-Supervised Monocular Absolute Depth Estimation for Autonomous Driving Applications (IROS 2020)

Towards Real-Time Monocular Depth Estimation for Robotics: A Survey

RoboDepth: Robust Out-of-Distribution Depth Estimation under Corruptions


Multilingual Quality Estimation and Automatic Post-editing Dataset

MLQE-PE: A Multilingual Quality Estimation and Post-Editing Dataset

Quality Estimation without Human-labeled Data

Translation Error Detection as Rationale Extraction

Bias Mitigation in Machine Translation Quality Estimation

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

Mismatching-Aware Unsupervised Translation Quality Estimation For Low-Resource Languages


[NeurIPS'19 Oral] CORnet: Modeling the Neural Mechanisms of Core Object Recognition

The Origins and Prevalence of Texture Bias in Convolutional Neural Networks

Brain-Like Object Recognition with High-Performing Shallow Recurrent ANNs

Beyond accuracy: quantifying trial-by-trial behaviour of CNNs and humans by measuring error consistency

Deep learning models fail to capture the configural nature of human shape perception

Learning-induced reorganization of number neurons and emergence of numerical representations in a biologically inspired neural network

A Spectral Theory of Neural Prediction and Alignment

To Which Out-Of-Distribution Object Orientations Are DNNs Capable of Generalizing?

Could simplified stimuli change how the brain performs visual search tasks? A deep neural network study


An overview of algorithms for estimating pseudotime in single-cell RNA-seq data

The dynamics and regulators of cell fate decisions are revealed by pseudotemporal ordering of single cells

Reversed graph embedding resolves complex single-cell trajectories

RNA velocity of single cells

The single-cell transcriptional landscape of mammalian organogenesis

Slingshot: cell lineage and pseudotime inference for single-cell transcriptomics

Generalizing RNA velocity to transient cell states through dynamical modeling

Single-cell mRNA quantification and differential analysis with Census

A comparison of single-cell trajectory inference methods

PAGA: graph abstraction reconciles clustering with trajectory inference through a topology preserving map of single cells

Single-Cell Trajectory Detection Uncovers Progression and Regulatory Coordination in Human B Cell Development


About The corresponding code from our paper " REFINER: Reasoning Feedback on Intermediate Representations" (EACL 2024). Do not hesitate to open an issue if you run into any trouble!

LoRA: Low-Rank Adaptation of Large Language Models

Are NLP Models really able to Solve Simple Math Word Problems?

Is Reinforcement Learning (Not) for Natural Language Processing: Benchmarks, Baselines, and Building Blocks for Natural Language Policy Optimization


FGVCx Fungi Classfiication competition details

A Realistic Evaluation of Semi-Supervised Learning for Fine-Grained Classification

Danish Fungi 2020 – Not Just Another Image Recognition Dataset

Meta-Learning for Few-Shot Plant Disease Detection

TinyTrain: Deep Neural Network Training at the Extreme Edge

MetaKernel: Learning Variational Random Features With Limited Labels

Confusable Learning for Large-class Few-Shot Classification

Few-Shot Image Classification Benchmarks are Too Far From Reality: Build Back Better with Semantic Task Sampling


Metamodeling, sensitivity analysis and visualization using the tensor train format

Tensor Networks for Dimensionality Reduction and Large-scale Optimization: Part 2 Applications and Future Perspectives

Foundations and Trends® in Machine Learning

Tensor Algorithms for Advanced Sensitivity Metrics

Visualization of High-dimensional Scalar Functions Using Principal Parameterizations


Tabular feature encoding pipelines for machine learning with options for string parsing, missing data infill, and stochastic perturbations.

XGBoost: A Scalable Tree Boosting System

Optuna: A Next-generation Hyperparameter Optimization Framework

CatBoost: gradient boosting with categorical features support

FLAML: A Fast and Lightweight AutoML Library

Missing Data Infill with Automunge


This folder contains the source codes and data for the metallic glass paper

Determining the three-dimensional atomic structure of an amorphous solid


Visualizing the structure of planning problems using local-minima trees

Multilevel motion planning: A fiber bundle formulation

Motion Planning Explorer: Visualizing Local Minima using a Local-Minima Tree

Section Patterns: Efficiently Solving Narrow Passage Problems in Multilevel Motion Planning

Visualizing Local Minima in Multi-Robot Motion Planning using Multilevel Morse Theory


Measure the readability of a given text using surface characteristics

Alejandro Mosquera at SemEval-2021 Task 1: Exploring Sentence and Word Features for Lexical Complexity Prediction

Leveraging Large Language Models for Learning Complex Legal Concepts
  through Storytelling

MementoEmbed and Raintale for Web Archive Storytelling

Genaios at SemEval-2024 Task 8: Detecting Machine-Generated Text by Mixing Language Model Probabilistic Features

International Workshop on Semantic Evaluation


[Extended version] Rethinking Deep Neural Network Ownership Verification: Embedding Passports to Defeat Ambiguity Attacks

Passport-aware Normalization for Deep Model Protection

Deep Intellectual Property Protection: A Survey


A script for audio/transcript alignment. Fork of p2fa.

MOSI: Multimodal Corpus of Sentiment Intensity and Subjectivity Analysis in Online Opinion Videos

Multimodal Sentiment Analysis with Word-Level Fusion and Reinforcement Learning

Talking Face Generation by Conditional Recurrent Adversarial Network

Multimodal Co-learning: Challenges, applications with datasets, recent advances and future directions

Modeling Emotion in Complex Stories: The Stanford Emotional Narratives Dataset

IEEE transactions on affective computing

Attending to Emotional Narratives

Disentangling Latent Emotions of Word Embeddings on Complex Emotional Narratives


Finding trojans in aligned LLMs. Official repository for the competition hosted at SaTML 2024.

Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback

Jailbreaking Leading Safety-Aligned LLMs with Simple Adaptive Attacks

Universal Jailbreak Backdoors from Poisoned Human Feedback

Competition Report: Finding Universal Jailbreak Backdoors in Aligned LLMs

Jailbreaking as a Reward Misspecification Problem


Population genetics analyses

Genomic Investigation of the Strawberry Pathogen Phytophthora fragariae Indicates Pathogenicity Is Associated With Transcriptional Variation in Three Key Races

Epistatic modifiers influence the expression of continual flowering in strawberry

Quantitative Trait Loci Controlling Phytophthora cactorum Resistance in the Cultivated Octoploid Strawberry (Fragaria x ananassa)

Identification of powdery mildew resistance QTL in Fragaria x ananassa


Official implementation of our work, A Transformer-based Approach for Source Code Summarization [ACL 2020].

On the Evaluation of Neural Code Summarization

Proceedings of the 44th International Conference on Software Engineering

Improving Code Summarization with Block-wise Abstract Syntax Tree Splitting

Code to Comment "Translation": Data, Metrics, Baselining & Evaluation

Neural Code Summarization: How Far Are We?

MESIA: Understanding and Leveraging Supplementary Nature of Method-level Comments for Automatic Comment Generation


Multimodal Sarcasm Detection Dataset

Towards Multimodal Sarcasm Detection (An _Obviously_ Perfect Paper)

Sentiment and Emotion help Sarcasm? A Multi-task Learning Framework for Multi-Modal Sarcasm, Sentiment and Emotion Analysis

MultiBench: Multiscale Benchmarks for Multimodal Representation Learning

Multi-Modal Sarcasm Detection and Humor Classification in Code-Mixed Conversations

IEEE Transactions on Affective Computing


Knowledge Distillation for Multi-task Learning (ECCV20 Workshops)

GradNorm: Gradient Normalization for Adaptive Loss Balancing in Deep Multitask Networks

Multi-Task Learning as Multi-Objective Optimization

End-to-End Multi-Task Learning with Attention


Massively parallel hybrid particle-field molecular dynamics (hPF-MD) simulation method in Julia

Hybrid particle‐field molecular dynamics simulations: Parallelization and benchmarks

Combination of Hybrid Particle-Field Molecular Dynamics and Slip-Springs for the Efficient Simulation of Coarse-Grained Polymer Models: Static and Dynamic Properties of Polystyrene Melts

Journal of chemical theory and computation

Atomistic hybrid particle‐field molecular dynamics combined with slip‐springs: Restoring entangled dynamics to simulations of polymer melts

Hamiltonian and Alias-Free Hybrid Particle-Field Molecular Dynamics


The official Talk2Car dataset repo

Talk2Car: Taking Control of Your Self-Driving Car

Empirical Methods in Natural Language Processing

A Baseline for the Commands For Autonomous Vehicles Challenge

Commands 4 Autonomous Vehicles (C4AV) Workshop Summary


Equivariant Subgraph Aggregation Networks (ICLR 2022 Spotlight)

Agent-based Graph Neural Networks

State of the Art and Potentialities of Graph-level Learning

Asynchronous Neural Networks for Learning in Graphs


Converting High-Dimensional Regression to High-Dimensional Conditional Density Estimation

Evaluation of probabilistic photometric redshift estimation approaches for The Rubin Observatory Legacy Survey of Space and Time (LSST)

Monthly Notices of the Royal Astronomical Society

Conditional density estimation tools in python and R with applications to photometric redshifts and likelihood-free cosmological inference

ABC–CDE: Toward Approximate Bayesian Computation With Complex High-Dimensional Data and Limited Simulations

Journal of Computational and Graphical Statistics


Chorus: a Programming Framework for Building Scalable Differential Privacy Mechanisms

IEEE European Symposium on Security and Privacy

Precision-based attacks and interval refining: how to break, then fix, differential privacy on finite computers

Lessons Learned: Surveying the Practicality of Differential Privacy in the Industry

Do I Get the Privacy I Need? Benchmarking Utility in Differential Privacy Libraries

Evaluation of Open-source Tools for Differential Privacy


MoCo with Alignment and Uniformity Loss.

Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour

Contrastive Multiview Coding

Understanding Contrastive Representation Learning through Alignment and Uniformity on the Hypersphere

Compressed-VFL: Communication-Efficient Learning with Vertically Partitioned Data

CorruptEncoder: Data Poisoning based Backdoor Attacks to Contrastive Learning


MagNet graph convolutional network

MagNet: A Neural Network for Directed Graphs

DIGRAC: Digraph Clustering Based on Flow Imbalance

A Graph Convolution for Signed Directed Graphs


Industry-Energy-Tool-(IET)


multi-dimensional statistical test with python

The First CHIME/FRB Fast Radio Burst Catalog

Extended stellar systems in the solar neighborhood

The Pristine Survey - VIII. The metallicity distribution function of the Milky Way halo down to the extremely metal-poor regime

Robust Period Estimation Using Mutual Information for Multiband Light Curves in the Synoptic Survey Era

Low-mass young stars in the Milky Way unveiled by DBSCAN and Gaia EDR3: Mapping the star forming regions within 1.5 kpc

An observational correlation between magnetic field, angular momentum and fragmentation in the envelopes of Class 0 protostars?

Stellar Spins in the Pleiades, Praesepe, and M35 Open Clusters

Cosmological coupling of nonsingular black holes

An enquiry on the origins of N-rich stars in the inner Galaxy based on APOGEE chemical compositions

The Orbital Eccentricities of Directly Imaged Companions Using Observable-based Priors: Implications for Population-level Distributions


UMT is a unified and flexible framework which can handle different input modality combinations, and output video moment retrieval and/or highlight detection results.

TALL: Temporal Activity Localization via Language Query

QVHighlights: Detecting Moments and Highlights in Videos via Natural Language Queries

UMT: Unified Multi-modal Transformers for Joint Video Moment Retrieval and Highlight Detection

Query-Dependent Video Representation for Moment Retrieval and Highlight Detection


Predict the Power Production of a solar panel farm from Weather Measurements using Machine Learning


Multi-Template Mouse Brain MRI Atlas (MBMA): both in-vivo and ex-vivo

Automated joint skull-stripping and segmentation with Multi-Task U-Net in large mouse brain MRI databases

Substantially thinner internal granular layer and reduced molecular layer surface in the cerebellar cortex of the Tc1 mouse model of down syndrome – a comprehensive morphometric analysis with active staining contrast-enhanced MRI

Grey Matter Sublayer Thickness Estimation in the Mouse Cerebellum

Medical Image Computing and Computer-Assisted Intervention


The official implementation of our CVPR 2023 paper "Detecting Backdoors During the Inference Stage Based on Corruption Robustness Consistency".

IBD-PSC: Input-level Backdoor Detection via Parameter-oriented Scaling
  Consistency


The ACL RD-TEC 2.0: A corpus of annotated terms in context from domain of computational linguistics

SemRe-Rank

Scientific Keyphrase Identification and Classification by Pre-Trained Language Models Intermediate Task Transfer Learning

International Conference on Computational Linguistics

SemRe-Rank: Incorporating Semantic Relatedness to Improve Automatic Term Extraction Using Personalized PageRank.


x-transformers-paddle 2.x version

Highly accurate protein structure prediction with AlphaFold

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

End-to-End Object Detection with Transformers

Swin Transformer V2: Scaling Up Capacity and Resolution

Attention on Attention for Image Captioning

CogView: Mastering Text-to-Image Generation via Transformers

GLU Variants Improve Transformer

Stabilizing Transformers for Reinforcement Learning

ReZero is All You Need: Fast Convergence at Large Depth

Transformers without Tears: Improving the Normalization of Self-Attention


An accessible and flexible tool for fitting demographic models with dadi using custom or published models (available here), conducting goodness of fit tests, and plotting.

Ancestral and neo-sex chromosomes contribute to population divergence in a dioecious plant

Phylogeography and the Evolutionary History of Sunflower (Helianthus annuus L.): Wild Diversity and the Dynamics of Domestication

Evidence for Glacial Refugia of the Forest Understorey Species Helleborus niger (Ranunculaceae) in the Southern as Well as in the Northern Limestone Alps


An R package for modelling sediment archived climate proxy records.

Sedproxy: a forward model for sediment-archived climate proxies


[NeurIPS 2022] Make Sharpness-Aware Minimization Stronger: A Sparsified Perturbation Approach -- Official Implementation

Visualizing the Loss Landscape of Neural Nets

Randomized Sharpness-Aware Training for Boosting Computational Efficiency in Deep Learning


Factorial Mass Univariate ERP Toolbox (FMUT)

Perceived Gaze Direction Differentially Affects Discrimination of Facial Emotion, Attention, and Gender – An ERP Study

Impact of acute psychosocial stress on attentional control in humans. A study of evoked potentials and pupillary response

The Neural Correlates of Conflict Detection and Resolution During Multiword Lexical Selection: Evidence from Bilinguals and Monolinguals


Pipeline for de novo peptide sequencing (Novor, DeepNovo, SMSNet, PointNovo, Casanovo) and assembly with ALPS.

De novo peptide sequencing by deep learning

Research in Computational Molecular Biology

pNovo 3: precise de novo peptide sequencing using a learning-to-rank framework

Computationally instrument-resolution-independent de novo peptide sequencing for high-resolution devices

Uncovering Thousands of New Peptides with Sequence-Mask-Search Hybrid De Novo Peptide Sequencing Framework

Sequence-to-sequence translation from mass spectra to peptides with a transformer model


VCF2Dis: A new simple and efficient software to calculate p-distance matrix and  construct population phylogeny  based Variant Call Format

Phased diploid genome assemblies and pan-genomes provide insights into the genetic history of apple domestication

High-resolution silkworm pan-genome provides genetic insights into artificial selection and ecological adaptation

Chromosome-scale assembly and analysis of biomass crop Miscanthus lutarioriparius genome

Frequent germplasm exchanges drive the high genetic diversity of Chinese-cultivated common apricot germplasm

Whole genome resequencing data enables a targeted SNP panel for conservation and aquaculture of Oreochromis cichlid fishes

Structural variations in papaya genomes

Genome sequencing of Sitopsis species provides insights into their contribution to the B subgenome of bread wheat

Harnessing landrace diversity empowers wheat breeding

Genomics of Dwarfism in Italian Local Chicken Breeds

A comparison of 25 complete chloroplast genomes between sister mangrove species Kandelia obovata and Kandelia candel geographically separated by the South China Sea


Graph-based Dependency Parser

It Depends: Dependency Parser Comparison Using A Web-based Evaluation Tool

PROCEEDINGS OF THE 53RD ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS AND THE 7TH INTERNATIONAL JOINT CONFERENCE ON NATURAL LANGUAGE PROCESSING, VOL 1

Hierarchical Low-Rank Tensors for Multilingual Transfer Parsing

High-Order Low-Rank Tensors for Semantic Role Labeling

North American Chapter of the Association for Computational Linguistics

RACAI's Natural Language Processing pipeline for Universal Dependencies

Proceedings of the CoNLL 2017 Shared Task: Multilingual Parsing from
          Raw Text to Universal Dependencies

Parsing Paraphrases with Joint Inference

The Association for Computational Linguistics

Multilingual Back-and-Forth Conversion between Content and Function Head for Easy Dependency Parsing

Conference of the European Chapter of the Association for Computational Linguistics


A collection of Deep Neuroevolution resources or evolutionary algorithms applying in Deep Learning (constantly updating)

Learning feature spaces for regression with genetic programming

Genetic programming and evolvable machines

Evolutionary music: applying evolutionary computation to the art of creating music

Genetic Programming and Evolvable Machines

SAC - EvoU-Net: an evolutionary deep fully convolutional neural network for medical image segmentation

PROCEEDINGS OF THE 35TH ANNUAL ACM SYMPOSIUM ON APPLIED COMPUTING (SAC'20)

Optimization in Machine Learning and Applications

OPTIMIZATION IN MACHINE LEARNING AND APPLICATIONS

Evolving deep neural networks using coevolutionary algorithms with multi-population strategy

Exploring the Evolution of GANs through Quality Diversity

Genetic and Evolutionary Computation Conference

Improving neuroevolutionary transfer learning of deep recurrent neural networks through network-aware adaptation

Evolutionary NetArchitecture Search for Deep Neural Networks Pruning

Proceedings of the 2019 2nd International Conference on Algorithms, Computing and Artificial Intelligence

A Survey on the Latest Development of Machine Learning in Genetic Algorithm and Particle Swarm Optimization

Artificial Neural Network Trained by Plant Genetic-Inspired Optimizer

Springer tracts in nature-inspired computing


(ICML 2023) High Fidelity Image Counterfactuals with Probabilistic Causal Models

Deep Structural Causal Models for Tractable Counterfactual Inference

Measuring axiomatic soundness of counterfactual image models


Force fields in various formats

MD simulation of HpTonB(30-285) in 150mM NaCl with Amber ff03ws force field

Zenodo (CERN European Organization for Nuclear Research)

Mutated EN2(143-259) simulation with Amber ff03ws


Dependency Parsing as Sequence Labeling

Transition-Based Dependency Parsing with Stack Long Short-Term Memory

Viable Dependency Parsing as Sequence Labeling

Bracketing Encodings for 2-Planar Dependency Parsing

A Unifying Theory of Transition-based and Sequence Labeling Parsing

A Modest Pareto Optimisation Analysis of Dependency Parsers in 2021

The Fragility of Multi-Treebank Parsing Evaluation


Active Subspace Data Sets

Active Manifolds: A non-linear analogue to Active Subspaces

Kernel-based active subspaces with application to computational fluid dynamics parametric problems using the discontinuous Galerkin method

A local approach to parameter space reduction for regression and classification tasks

Multi‐fidelity data fusion for the approximation of scalar functions with low intrinsic dimensionality through active subspaces


Evaluation Framework for DAVIS 2017 Semi-supervised and Unsupervised used in the DAVIS Challenges

Language as Queries for Referring Video Object Segmentation

Learning Dynamic Network Using a Reuse Gate Function in Semi-supervised Video Object Segmentation

Referred by Multi-Modality: A Unified Temporal Transformer for Video Object Segmentation

RefSAM: Efficiently Adapting Segmenting Anything Model for Referring Video Object Segmentation

TTVOS: Lightweight Video Object Segmentation with Adaptive Template Attention Module and Temporal Consistency Loss.


A simple PyTorch implementation of influence functions.

Understanding Black-box Predictions via Influence Functions

Second-Order Stochastic Optimization for Machine Learning in Linear Time

TRAK: Attributing Model Behavior at Scale

If Influence Functions are the Answer, Then What is the Question?


Model descriptions and weights for all the variations of the SonoNet for real-time fetal standard scan plane detection.

SonoNet: Real-Time Detection and Localisation of Fetal Standard Scan Planes in Freehand Ultrasound

Ultrasound Plane Pose Regression: Assessing Generalized Pose Coordinates in the Fetal Brain


A simple yet versatile toolkit to setup quantum mechanical/molecular mechanical (QM/MM) calculations from molecular dynamics trajectories.

Effect of the QM Size, Basis Set, and Polarization on QM/MM Interaction Energy Decomposition Analysis

Journal of chemical information and modeling

MoBioTools: A toolkit to setup quantum mechanics/molecular mechanics calculations

On the Permeation of Polychlorinated Dibenzodioxins and Dibenzofurans through Lipid Membranes: Classical MD and Hybrid QM/MM-EDA Analysis


An Open-Source Hyperspectral Unmixing Python Package

Image Processing and Machine Learning for Hyperspectral Unmixing: An Overview and the HySUPP Python Package


SkillMEx is a novel manufacturing execution system (MES) based on semantically modelled skills of machines. SkillMEx uses a knowledge graph to manage skills and execute them. BPMN is used to model and execute complex production processes.

Modeling and Executing Production Processes with Capabilities and Skills using Ontologies and BPMN

A Mapping Approach to Convert MTPs into a Capability and Skill Ontology

Model-Based Engineering of CPPS Functions and Code Generation for Skills


Convex potential flows

Masked Autoregressive Flow for Density Estimation

Sylvester Normalizing Flows for Variational Inference

Convex Potential Flows: Universal Probability Distributions with Optimal Transport and Convex Optimization

Turning Normalizing Flows into Monge Maps with Geodesic Gaussian Preserving Flows

Optimal Flow Matching: Learning Straight Trajectories in Just One Step

Learning with Stochastic Orders

ELF: Exact-Lipschitz Based Universal Density Approximator Flow


An optimal space run-length Burrows-Wheeler transform full-text index

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

Optimal-Time Text Indexing in BWT-runs Bounded Space

Grammar-Compressed Indexes with Logarithmic Search Time

A Fast and Small Subsampled R-index

RLBWT Tricks

Matching reads to many genomes with the r-index

Fast, Small, and Simple Document Listing on Repetitive Text Collections

Grammar Index By Induced Suffix Sorting

A compressed dynamic self-index for highly repetitive text collections

Tailoring r-index for metagenomics


Pairtree is a method for reconstructing cancer evolutionary history in individual patients, and analyzing intratumor genetic heterogeneity. Pairtree focuses on scaling to many more cancer samples and cancer cell subpopulations than other algorithms, and on producing concise and informative interactive characterizations of posterior uncertainty.

PyClone-VI: scalable inference of clonal population structures using whole genome data

Reconstructing Complex Cancer Evolutionary Histories from Multiple Bulk DNA Samples Using Pairtree

Reconstructing cancer phylogenies using Pairtree, a clone tree reconstruction algorithm

Reconstructing complex cancer evolutionary histories from multiple bulk DNA samples using Pairtree

Whole-Genome Sequencing Identifies Structural Variation As a Key Driver of Disease Relapse and Aggressive Clinical Behavior in Multiple Myeloma


List of research around modern boardgames.

Meeple Centred Design: A Heuristic Toolkit for Evaluating the Accessibility of Tabletop Games

Aspects of the Cooperative Card Game Hanabi

Communications in computer and information science

Playing Hanabi Near-Optimally

Eighteen Months of Meeple Like Us: An Exploration into the State of Board Game Accessibility

Human-Side Strategies in the Werewolf Game Against the Stealth Werewolf Strategy

Neural Networks Models for Analyzing Magic: the Gathering Cards

Evolving maps and decks for ticket to ride

International Conference on Foundations of Digital Games

Monte Carlo Tree Search for the Game of Diplomacy

Hellenic Conference on Artificial Intelligence


Repository no longer in use


Coverage tests to check the quality of your posterior estimators.

Fast and credible likelihood-free cosmology with truncated marginal neural ratio estimation

A Trust Crisis In Simulation-Based Inference? Your Posterior Approximations Can Be Unfaithful

Sampling-Based Accuracy Testing of Posterior Estimators for General Inference

SimBIG: Field-level Simulation-Based Inference of Galaxy Clustering


NuclearToolkit.jl: Julia package for nuclear structure calculations

Exploring medium mass nuclei using effective chiral nucleon-nucleon interactions

Accurate and precise quantum computation of valence two-neutron systems


Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning

Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles

On Calibration of Modern Neural Networks

Weight Uncertainty in Neural Networks

UNITE: Uncertainty-based Health Risk Prediction Leveraging Multi-sourced Data


Out-of-Distribution Generalization via Risk Extrapolation (REx)

Accounting for Unobserved Confounding in Domain Generalization

Environment-Aware Dynamic Graph Learning for Out-of-Distribution Generalization

Dynamic Graph Information Bottleneck


Python module for simulating gossip learning.

Decentralized Federated Learning: A Segmented Gossip Approach

MATCHA: Speeding Up Decentralized SGD via Matching Decomposition Sampling

Gossip Learning with Linear Models on Fully Distributed Data

Concurrency and Computation: Practice and Experience

Decentralized learning works: An empirical comparison of gossip learning and federated learning

Journal of Parallel and Distributed Computing

Decentralized Federated Learning: Balancing Communication and Computing Costs

A Decentralized Federated Learning Framework via Committee Mechanism With Convergence Guarantee

Decentralized Recommendation Based on Matrix Factorization: A Comparison of Gossip and Federated Learning

MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES, ECML PKDD 2019, PT I

Gossip Learning: Off the Beaten Path

Token Account Algorithms: The Best of the Proactive and Reactive Worlds

International Conference on Distributed Computing Systems


Gerneral Circulation Models Planet Simulator (PlaSim) and PUMA

Computation of extreme heat waves in climate models using a large deviation algorithm

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

Rare Event Simulation of Extreme European Winter Rainfall in an Intermediate Complexity Climate Model

Journal of Advances in Modeling Earth Systems

Evaluation and climate sensitivity of the PlaSim v.17 Earth System Model coupled with ocean model components of different complexity


Collection of scripts for working with Wiggle files and analyzing sequencing data

Transcription shapes genome-wide histone acetylation patterns

Genomic dissection of conserved transcriptional regulation in intestinal epithelial cells

Dissection of acute stimulus-inducible nucleosome remodeling in mammalian cells

NuA3 HAT antagonizes the Rpd3S and Rpd3L HDACs to optimize mRNA and lncRNA expression dynamics

The majority of histone acetylation is a consequence of transcription


Page to PAGE Layout Analysis Tool

Multi-Task Handwritten Document Layout Analysis

An Evaluation of DNN Architectures for Page Segmentation of Historical Newspapers

Evaluation of a Region Proposal Architecture for Multi-task Document Layout Analysis

Digital Editions as Distant Supervision for Layout Analysis of Printed Books


Marathi NLP - is a repository dedicated to development of tools and resources for Marathi language.

L3Cube-MahaCorpus and MahaBERT: Marathi Monolingual Corpus, Marathi BERT Language Models, and Resources

L3Cube-HindBERT and DevBERT: Pre-Trained BERT Transformer models for Devanagari based Hindi and Marathi Languages

L3CubeMahaSent: A Marathi Tweet-based Sentiment Analysis Dataset

L3Cube-MahaHate: A Tweet-based Marathi Hate Speech Detection Dataset and BERT models

L3Cube-MahaNLP: Marathi Natural Language Processing Datasets, Models, and Library

L3Cube-MahaNER: A Marathi Named Entity Recognition Dataset and BERT models

L3Cube-MahaSBERT and HindSBERT: Sentence BERT Models and Benchmarking BERT Sentence Representations for Hindi and Marathi

Spread Love Not Hate: Undermining the Importance of Hateful Pre-training for Hate Speech Detection

L3Cube-MahaSent-MD: A Multi-domain Marathi Sentiment Analysis Dataset and Transformer Models

My Boli: Code-mixed Marathi-English Corpora, Pretrained Language Models and Evaluation Benchmarks


MetaQuantus is an XAI performance tool to identify reliable evaluation metrics

The Meta-Evaluation Problem in Explainable AI: Identifying Reliable Estimators with MetaQuantus

Sanity Checks Revisited: An Exploration to Repair the Model Parameter Randomisation Test


Database of galactic novae

A Population of Heavily Reddened, Optically Missed Novae from Palomar Gattini-IR: Constraints on the Galactic Nova Rate

The first nova eruption in a novalike variable: YZ Ret as seen in X-rays and gamma-rays

Searching the SETI Ellipsoid with Gaia


Open Source Algorithm for Detecting Sea Ice Surface Features in High Resolution Optical Imagery

Open-source algorithm for detecting sea ice surface features in high-resolution optical imagery


Word Ordering Without Syntax

Transition-Based Syntactic Linearization with Lookahead Features

North American Chapter of the Association for Computational Linguistics

An Empirical Comparison Between N-gram and Syntactic Language Models for Word Ordering

Empirical Methods in Natural Language Processing

Abstractive Multi-document Summarization by Partial Tree Extraction, Recombination and Linearization

International Joint Conference on Natural Language Processing

Transition-Based Deep Input Linearization


Towards Fast Computation of Certified Robustness for ReLU Networks

Efficient Neural Network Robustness Certification with General Activation Functions

CNN-Cert: An Efficient Framework for Certifying Robustness of Convolutional Neural Networks

A Review of Formal Methods applied to Machine Learning


Distributed semi-constrained microphone arrays

DNN-Based Mask Estimation for Distributed Speech Enhancement in Spatially Unconstrained Microphone Arrays

Distributed speech separation in spatially unconstrained microphone arrays

Attention-based distributed speech enhancement for unconstrained microphone arrays with varying number of nodes


SuperFolder COVID mRNA vaccines, stabilized for in vitro storage and shipping

Improving mRNA-Based Therapeutic Gene Delivery by Expression-Augmenting 3' UTRs Identified by Cellular Library Screening.

Molecular therapy : the journal of the American Society of Gene Therapy

Algorithm for optimized mRNA design improves stability and immunogenicity

Theoretical basis for stabilizing messenger RNA through secondary structure design

bioRxiv : the preprint server for biology

RNA secondary structure packages evaluated and improved by high-throughput experiments


A R extension to Retrieve EPA Air Quality System Data via the AQS Data Mart API


Fast predictions for the matter power spectrum.

Core Cosmology Library: Precision Cosmological Predictions for LSST

The Astrophysical Journal Supplement Series

The Mira-Titan Universe. II. Matter Power Spectrum Emulation

TheHaloMod: An online calculator for the halo model

Constrained realizations of 2MRS density and peculiar velocity fields: growth rate and local flow

Monthly Notices of the Royal Astronomical Society

The Mira-Titan Universe IV. High Precision Power Spectrum Emulation


Simple Questions Generate Named Entity Recognition Datasets (EMNLP 2022)

Automated Phrase Mining from Massive Text Corpora

Learning Dense Representations of Phrases at Scale

Automatic Creation of Named Entity Recognition Datasets by Querying Phrase Representations


Norwegian Review Corpus

skweak: Weak Supervision Made Easy for NLP

Meeting of the Association for Computational Linguistics

NoReC: The Norwegian Review Corpus

LREC - NoReC: The Norwegian Review Corpus


Handwritten Text Recognition using TensorFlow

Towards the Natural Language Processing as Spelling Correction for Offline Handwritten Text Recognition Systems

HTR for Greek Historical Handwritten Documents

A Lexicon and Depth-wise Separable Convolution Based Handwritten Text Recognition System

Handwritten text generation and strikethrough characters augmentation

Lexicon and Attention based Handwritten Text Recognition System

Improving Automatic Text Recognition with Language Models in the PyLaia Open-Source Library


Models for explainable recommendation.

Neural Attentional Rating Regression with Review-level Explanations

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

Neural Rating Regression with Abstractive Tips Generation for Recommendation

SIGIR'17: PROCEEDINGS OF THE 40TH INTERNATIONAL ACM SIGIR CONFERENCE ON RESEARCH AND DEVELOPMENT IN INFORMATION RETRIEVAL

Explainable Recommendation via Multi-Task Learning in Opinionated Text Data

International ACM SIGIR Conference on Research and Development in Information Retrieval

The FacT: Taming Latent Factor Models for Explainability with Factorization Trees

Explanation as a Defense of Recommendation

Graph-based Extractive Explainer for Recommendations

Comparative Explanations of Recommendations


2-pt correlation function estimation

Performance of the Quasar Spectral Templates for the Dark Energy Spectroscopic Instrument

Constraining νΛCDM with density-split clustering

Monthly notices of the Royal Astronomical Society

First detection of the BAO signal from early DESI data

Studying large-scale structure probes of modified gravity with COLA

The DESI One-Percent Survey: Exploring the Halo Occupation Distribution of Luminous Red Galaxies and Quasi-Stellar Objects with AbacusSummit

The DESI One-Percent survey: exploring the Halo Occupation Distribution of Emission Line Galaxies with AbacusSummit simulations

Cosmological constraints from density-split clustering in the BOSS CMASS galaxy sample

The DESI One-Percent Survey: exploring a generalized SHAM for multiple tracers with the UNIT simulation

Precise cosmological constraints from BOSS galaxy clustering with a simulation-based emulator of the wavelet scattering transform

Validation of semi-analytical, semi-empirical covariance matrices for two-point correlation function for Early DESI data


A deep learning-powered visual navigation engine to enables autonomous navigation of pocket-size quadrotor - running on PULP

A 64-mW DNN-Based Visual Navigation Engine for Autonomous Nano-Drones

An Open Source and Open Hardware Deep Learning-Powered Visual Navigation Engine for Autonomous Nano-UAVs

International Conference on Distributed Computing in Sensor Systems

Tiny-PULP-Dronets: Squeezing Neural Networks for Faster and Lighter Inference on Multi-Tasking Autonomous Nano-Drones

Advanced Algorithms of Collision Free Navigation and Flocking for Autonomous UAVs


R Package growthrates

Altered cohesin dynamics and histone H3K9 modifications contribute to mitotic defects in thecbf11Δlipid metabolism mutant

Novel Asaia bogorensis Signal Sequences for Plasmodium Inhibition in Anopheles stephensi

TisB Protein Protects Escherichia coli Cells Suffering Massive DNA Damage from Environmental Toxic Compounds

An evaluation of fusion partner proteins for paratransgenesis in Asaia bogorensis

Author Correction: A consensus S. cerevisiae metabolic model Yeast8 and its ecosystem for comprehensively probing cellular metabolism

PhcX Is a LqsR-family response regulator that contributes to Ralstonia solanacearum virulence and regulates multiple virulence factors


Light-weight transfer learning framework for on-device speech and audio recognition using pre-trained image convolutional neural networks.

The ACM Multimedia 2022 Computational Paralinguistics Challenge: Vocalisations, Stuttering, Activity, & Mosquitoes

DeepSpectrumLite: A Power-Efficient Transfer Learning Framework for Embedded Speech and Audio Processing From Decentralized Data

DeepSpectrumLite: A Power-Efficient Transfer Learning Framework for Embedded Speech and Audio Processing from Decentralised Data


Hierarchical matrices tool box

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

Radiative transfer for variable three-dimensional atmospheres

High-Frequency Estimates on Boundary Integral Operators for the Helmholtz Exterior Neumann Problem

Reflective conditions for radiative transfer in integral form with H-matrices


Crowd Sourced Emotional Multimodal Actors Dataset (CREMA-D)

x-vectors meet emotions: A study on dependencies between emotion and speaker recognition

CopyPaste: An Augmentation Method for Speech Emotion Recognition

Multi-Modal Residual Perceptron Network for Audio–Video Emotion Recognition

The VoicePrivacy 2024 Challenge Evaluation Plan

EMOLIPS: Towards Reliable Emotional Speech Lip-Reading


Distributed NMF/NTF Library

Deep data analysis via physically constrained linear unmixing: universal framework, domain examples, and a community-wide platform

Advanced structural and chemical imaging

MPI-FAUN: An MPI-Based Framework for Alternating-Updating Nonnegative Matrix Factorization

Fast and Secure Distributed Nonnegative Matrix Factorization

IEEE Transactions on Knowledge and Data Engineering

PLANC: Parallel Low Rank Approximation with Non-negativity Constraints

PL-NMF: Parallel Locality-Optimized Non-negative Matrix Factorization

Randomized Algorithms for Symmetric Nonnegative Matrix Factorization


AirDialogue: An Environment for Goal-Oriented Dialogue Research

Towards Automatic Evaluation of Dialog Systems: A Model-Free Off-Policy Evaluation Approach

AirConcierge: Generating Task-Oriented Dialogue via Efficient Large-Scale Knowledge Retrieval


A neural language model that estimates incremental processing complexity

A Neural Model of Adaptation in Reading

Dual Mechanism Priming Effects in Hindi Word Order

Discourse Context Predictability Effects in Hindi Word Order

Does Dependency Locality Predict Non-canonical Word Order in Hindi?

Can training neural language models on a curriculum with developmentally plausible data improve alignment with human reading behavior?


Functions to manipulate and visualize microbial community data

Comparing the Healthy Nose and Nasopharynx Microbiota Reveals Continuity As Well As Niche-Specificity

Anterior Nares Diversity and Pathobionts Represent Sinus Microbiome in Chronic Rhinosinusitis

The microbiome of the invertebrate model host Galleria mellonella is dominated by Enterococcus

Cotton and Surgical Face Masks in Community Settings: Bacterial Contamination and Face Mask Hygiene

Selective targeting of skin pathobionts and inflammation with topically applied lactobacilli

Microbial enrichment and storage for metagenomics of vaginal, skin, and saliva samples

The nasal mutualist Dolosigranulum pigrum AMBR11 supports homeostasis via multiple mechanisms

Spontaneous Riboflavin-Overproducing Limosilactobacillus reuteri for Biofortification of Fermented Foods

Impacts of Menstruation, Community Type, and an Oral Yeast Probiotic on the Vaginal Microbiome

Leaf side determines the relative importance of dispersal versus host filtering in the phyllosphere microbiome