Face Mask Detection using Transfer Learning of InceptionV3

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

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

IEEE Transactions on Artificial Intelligence

Hybrid Deep Feature Generation for Appropriate Face Mask Use Detection

International journal of environmental research and public health

Automatic facial emotion recognition at the COVID-19 pandemic time

Real-time face mask position recognition system based on MobileNet model

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

Transportation research interdisciplinary perspectives

Limiting COVID-19 infection by automatic remote face mask monitoring and detection using deep learning with IoT

Eastern-European Journal of Enterprise Technologies

COVID-19 Face Mask Detection

International Journal for Research in Applied Science and Engineering Technology

Mask Detection and Classification in Thermal Face Images


Source code of CHAMELEON - A Deep Learning Meta-Architecture for News Recommender Systems

Contextual Hybrid Session-Based News Recommendation With Recurrent Neural Networks

News Session-Based Recommendations using Deep Neural Networks

PROCEEDINGS OF THE 3RD WORKSHOP ON DEEP LEARNING FOR RECOMMENDER SYSTEMS (DLRS)

On the Importance of News Content Representation in Hybrid Neural Session-based Recommender Systems

CHAMELEON: A Deep Learning Meta-Architecture for News Recommender Systems [Phd. Thesis]


TLDR: Extreme Summarization of Scientific Documents

The Semantic Scholar Open Data Platform

Scientific document processing: challenges for modern learning methods

International journal on digital libraries

Twist Decoding: Diverse Generators Guide Each Other


Bottom-up attention model for image captioning and VQA, based on Faster R-CNN and Visual Genome

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

Tips and Tricks for Visual Question Answering: Learnings from the 2017 Challenge

Fine-grained Visual Textual Alignment for Cross-Modal Retrieval using Transformer Encoders

FashionBERT: Text and Image Matching with Adaptive Loss for Cross-modal Retrieval

Unshuffling Data for Improved Generalization in Visual Question Answering

GRIT: Faster and Better Image captioning Transformer Using Dual Visual Features

InterBERT: Vision-and-Language Interaction for Multi-modal Pretraining

Meta Module Network for Compositional Visual Reasoning

Transformer Reasoning Network for Image-Text Matching and Retrieval

Efficient Object-Level Visual Context Modeling for Multimodal Machine Translation: Masking Irrelevant Objects Helps Grounding


Code for the paper "Exploration by Random Network Distillation"

Dealing with Sparse Rewards in Reinforcement Learning

See, Hear, Explore: Curiosity via Audio-Visual Association

Exploring Unknown States with Action Balance

Touch-based Curiosity for Sparse-Reward Tasks

Ask & Explore: Grounded Question Answering for Curiosity-Driven Exploration.


StarNet

Image-to-Image Translation with Conditional Adversarial Networks

Image De-Raining Using a Conditional Generative Adversarial Network

Image Restoration Using Convolutional Auto-encoders with Symmetric Skip Connections

Perceptual Adversarial Networks for Image-to-Image Transformation

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

Learning to Kindle the Starlight


Unsupervised text tokenizer focused on computational efficiency

Neural Machine Translation of Rare Words with Subword Units

BPE-Dropout: Simple and Effective Subword Regularization

eco2AI: Carbon Emissions Tracking of Machine Learning Models as the First Step Towards Sustainable AI

Single Headed Attention RNN: Stop Thinking With Your Head

Tensorized Embedding Layers for Efficient Model Compression

Fast Conformer with Linearly Scalable Attention for Efficient Speech Recognition

Tensorized Embedding Layers

NVIDIA NeMo’s Neural Machine Translation Systems for English-German and English-Russian News and Biomedical Tasks at WMT21

Efficient Sequence Transduction by Jointly Predicting Tokens and Durations

The LMU Munich System for the WMT20 Very Low Resource Supervised MT Task

Empirical Methods in Natural Language Processing


A Python wrapper for the high-quality vocoder "World"

FastSpeech 2: Fast and High-Quality End-to-End Text to Speech

NaturalSpeech 2: Latent Diffusion Models are Natural and Zero-Shot Speech and Singing Synthesizers

Any-to-Many Voice Conversion With Location-Relative Sequence-to-Sequence Modeling

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

InstructTTS: Modelling Expressive TTS in Discrete Latent Space With Natural Language Style Prompt

Audiobox: Unified Audio Generation with Natural Language Prompts

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

Nonparallel Voice Conversion With Augmented Classifier Star Generative Adversarial Networks

PromptTTS 2: Describing and Generating Voices with Text Prompt

End-to-End Whisper to Natural Speech Conversion using Modified Transformer Network

Multi-Speaker Multi-Style Speech Synthesis with Timbre and Style Disentanglement


PV Analysis Tools in Python

Robust PV Degradation Methodology and Application

OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)

Validation of the PVLife model using 3 million module-years of live site data

Quantifying Soiling Loss Directly From PV Yield

PV degradation methodology comparison — A basis for a standard

Signal Processing on PV Time-Series Data: Robust Degradation Analysis Without Physical Models

Review of Open Source Tools for PV Modeling

Zenodo (CERN European Organization for Nuclear Research)

Performance Comparison of Clipping Detection Techniques in AC Power Time Series

Overcoming Communications Outages in Inverter Downtime Analysis


EEGLAB is an open source signal processing environment for electrophysiological signals running on Matlab and developed at the SCCN/UCSD

The semiotics of the message and the messenger: How nonverbal communication affects fairness perception

Cognitive, affective & behavioral neuroscience

BRAIN2DEPTH: Lightweight CNN Model for Classification of Cognitive States from EEG Recordings

Dynamic reconfiguration of frequency-specific cortical coactivation patterns during psychedelic and anesthetized states induced by ketamine

Unique estimation in EEG analysis by the ordering ICA

The Impact of Various Cockpit Display Interfaces on Novice Pilots’ Mental Workload and Situational Awareness: A Comparative Study


Research using Cirq!

Hartree-Fock on a superconducting qubit quantum computer

Quantum approximate optimization of non-planar graph problems on a planar superconducting processor

Quantum advantage in learning from experiments

Designing Calibration and Expressivity-Efficient Instruction Sets for Quantum Computing

International Symposium on Computer Architecture


Graphical Editor to create BehaviorTrees. Compliant with BehaviorTree.CPP

On the Implementation of Behavior Trees in Robotics

International Conference on Robotics and Automation

Evolution of a Cognitive Architecture for Social Robots: Integrating Behaviors and Symbolic Knowledge

KT-BT: A Framework for Knowledge Transfer Through Behavior Trees in Multirobot Systems

A Toolchain to Design, Execute, and Monitor Robots Behaviors


A comprehensive macromolecular library

RCSB Protein Data Bank: improved annotation, search and visualization of membrane protein structures archived in the PDB

BinaryCIF and CIFTools—Lightweight, efficient and extensible macromolecular data management

RCSB protein Data Bank: exploring protein 3D similarities via comprehensive structural alignments

CBP60-DB: An AlphaFold-predicted plant kingdom-wide database of the CALMODULIN-BINDING PROTEIN 60 (CBP60) protein family with a novel structural clustering algorithm


Trixi.jl: Adaptive high-order numerical simulations of conservation laws in Julia

Subcell limiting strategies for discontinuous Galerkin spectral element methods

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

A purely hyperbolic discontinuous Galerkin approach for self-gravitating gas dynamics

Stability Issues of Entropy-Stable and/or Split-form High-order Schemes

SummationByPartsOperators.jl: A Julia library of provably stable discretization techniques with mimetic properties

Convergence of discontinuous Galerkin schemes for the Euler equations via dissipative weak solutions

Monolithic Convex Limiting for Legendre-Gauss-Lobatto Discontinuous Galerkin Spectral-Element Methods


Solver for wind farm simulations targeting exascale computational platforms

ExaWind: A multifidelity modeling and simulation environment for wind energy

ExaWind: Open‐source CFD for hybrid‐RANS/LES geometry‐resolved wind turbine simulations in atmospheric flows

Large-eddy simulations of idealized atmospheric boundary layers using Nalu-Wind

Data recovery in computational fluid dynamics through deep image priors


The source code of NIPS17 'Universal Style Transfer via Feature Transforms'.

Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization

Fast Patch-based Style Transfer of Arbitrary Style

Optimal Whitening and Decorrelation

Neural Comic Style Transfer: Case Study

Two-stream FCNs to balance content and style for style transfer


:mag_right: :pill: Mass screening of contigs for antimicrobial and virulence genes

Identification of Novel Mobilized Colistin Resistance Gene mcr-9 in a Multidrug-Resistant, Colistin-Susceptible Salmonella enterica Serotype Typhimurium Isolate

Identification of novel mobile colistin resistance gene mcr-10

PLSDB: a resource of complete bacterial plasmids

Characterization of antimicrobial-resistant Gram-negative bacteria that cause neonatal sepsis in seven low- and middle-income countries

Surveillance of Enterococcus spp. reveals distinct species and antimicrobial resistance diversity across a One-Health continuum

Phylogenetic background and habitat drive the genetic diversification of Escherichia coli

Combination of pre-adapted bacteriophage therapy and antibiotics for treatment of fracture-related infection due to pandrug-resistant Klebsiella pneumoniae

CeMbio - The Caenorhabditis elegans Microbiome Resource.

HAL (Le Centre pour la Communication Scientifique Directe)

A P7 Phage-Like Plasmid Carrying mcr-1 in an ST15 Klebsiella pneumoniae Clinical Isolate

Dynamics of mcr-1 prevalence and mcr-1-positive Escherichia coli after the cessation of colistin use as a feed additive for animals in China: a prospective cross-sectional and whole genome sequencing based molecular epidemiological study


An Open-source Streaming High-fidelity Neural Audio Codec

Audiodec: An Open-Source Streaming High-Fidelity Neural Audio Codec

IEEE International Conference on Acoustics, Speech, and Signal Processing

WenetSpeech4TTS: A 12,800-hour Mandarin TTS Corpus for Large Speech
  Generation Model Benchmark

APCodec: A Neural Audio Codec with Parallel Amplitude and Phase Spectrum
  Encoding and Decoding

StreamVoice: Streamable Context-Aware Language Modeling for Real-time Zero-Shot Voice Conversion


StyleSDF: High-Resolution 3D-Consistent Image and Geometry Generation

BallGAN: 3D-aware Image Synthesis with a Spherical Background

OrthoPlanes: A Novel Representation for Better 3D-Awareness of GANs

NARRATE: A Normal Assisted Free-View Portrait Stylizer


AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty

Measuring Robustness to Natural Distribution Shifts in Image Classification

Improving robustness against common corruptions by covariate shift adaptation

A simple way to make neural networks robust against diverse image corruptions

Learning perturbation sets for robust machine learning

MixMo: Mixing Multiple Inputs for Multiple Outputs via Deep Subnetworks

TSS: Transformation-Specific Smoothing for Robustness Certification

CrossNorm and SelfNorm for Generalization under Distribution Shifts

Rethinking Surgical Instrument Segmentation: A Background Image Can Be All You Need

On the Strong Correlation Between Model Invariance and Generalization


Fader Networks: Manipulating Images by Sliding Attributes - NIPS 2017

AttGAN: Facial Attribute Editing by Only Changing What You Want

DeepFakes and Beyond: A Survey of Face Manipulation and Fake Detection

Preliminary Forensics Analysis of DeepFake Images

Latent Space Factorisation and Manipulation via Matrix Subspace Projection

An Introduction to Digital Face Manipulation

Handbook of Digital Face Manipulation and Detection


An optimized deep prompt tuning strategy comparable to fine-tuning across scales and tasks

P-Tuning v2: Prompt Tuning Can Be Comparable to Fine-tuning Universally Across Scales and Tasks

BBTv2: Towards a Gradient-Free Future with Large Language Models

Parameter-Efficient Prompt Tuning Makes Generalized and Calibrated Neural Text Retrievers

Towards Adaptive Prefix Tuning for Parameter-Efficient Language Model Fine-tuning

Prefix Propagation: Parameter-Efficient Tuning for Long Sequences

Dynamic Prompting: A Unified Framework for Prompt Tuning

Developing Prefix-Tuning Models for Hierarchical Text Classification

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

Parameter-Efficient Methods for Metastases Detection fromClinical Notes

Proceedings of the Canadian Conference on Artificial Intelligence


Code for the ICLR 2023 paper "GPTQ: Accurate Post-training Quantization of Generative Pretrained Transformers".

GPTQ: Accurate Post-Training Quantization for Generative Pre-trained Transformers

SmoothQuant: Accurate and Efficient Post-Training Quantization for Large Language Models

Memory-Efficient Fine-Tuning of Compressed Large Language Models via sub-4-bit Integer Quantization

OWQ: Outlier-Aware Weight Quantization for Efficient Fine-Tuning and Inference of Large Language Models

ZeroQuant-FP: A Leap Forward in LLMs Post-Training W4A8 Quantization Using Floating-Point Formats

An Empirical Study of LLaMA3 Quantization: From LLMs to MLLMs

Optimize Weight Rounding via Signed Gradient Descent for the Quantization of LLMs

Integer or Floating Point? New Outlooks for Low-Bit Quantization on Large Language Models

Enhancing Computation Efficiency in Large Language Models through Weight and Activation Quantization

Token-Scaled Logit Distillation for Ternary Weight Generative Language Models


DenseNet implementation in Keras

Densely Connected Convolutional Networks

Feature Squeezing: Detecting Adversarial Examples in Deep Neural Networks

Proceedings 2018 Network and Distributed System Security Symposium

Dense and Diverse Capsule Networks: Making the Capsules Learn Better

Analysis and Optimization of Convolutional Neural Network Architectures

LipschitzLR: Using theoretically computed adaptive learning rates for fast convergence

Fast and Accurate Sparse Coding of Visual Stimuli With a Simple, Ultralow-Energy Spiking Architecture

IEEE transactions on neural networks and learning systems

A novel adaptive learning rate scheduler for deep neural networks.

Detecting Coronary Artery Disease from Computed Tomography Images Using a Deep Learning Technique

Natural Language Inference over Interaction Space: ICLR 2018 Reproducibility Report

Using Undervolting as an on-Device Defense Against Adversarial Machine Learning Attacks


Official codebase for Decision Transformer: Reinforcement Learning via Sequence Modeling.

A Minimalist Approach to Offline Reinforcement Learning

Offline Reinforcement Learning with Implicit Q-Learning

Online Decision Transformer

CORL: Research-oriented Deep Offline Reinforcement Learning Library

Q-learning Decision Transformer: Leveraging Dynamic Programming for Conditional Sequence Modelling in Offline RL

Supported Policy Optimization for Offline Reinforcement Learning

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

Transformer models: an introduction and catalog

Beyond Reward: Offline Preference-guided Policy Optimization


The S-Space repsitory, from the AIrhead-Research group

Recent Trends in Deep Learning Based Natural Language Processing

Exploring Topic Coherence over Many Models and Many Topics

Unsupervised Modeling of Topical Relevance in L2 Learner Text

Workshop on Innovative Use of NLP for Building Educational Applications

An Evaluation of Graded Sense Disambiguation using Word Sense Induction

Joint Conference on Lexical and Computational Semantics

Semantically Motivated Hebrew Verb-Noun Multi-Word Expressions Identification

International Conference on Computational Linguistics

Topical Phrase Extraction from Clinical Reports by Incorporating both Local and Global Context


Python Multi-Agent Reinforcement Learning framework

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

The StarCraft Multi-Agent Challenge

A survey and critique of multiagent deep reinforcement learning

Learning Transferable Cooperative Behavior in Multi-Agent Teams

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

Learning Implicit Credit Assignment for Cooperative Multi-Agent Reinforcement Learning

Rethinking the Implementation Tricks and Monotonicity Constraint in Cooperative Multi-Agent Reinforcement Learning

Multi-Agent Incentive Communication via Decentralized Teammate Modeling

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

Tesseract: Tensorised Actors for Multi-Agent Reinforcement Learning


NVBIO is a library of reusable components designed to accelerate bioinformatics applications using CUDA.

Dismantling DivSufSort

Scrooge: a fast and memory-frugal genomic sequence aligner for CPUs, GPUs, and ASICs

HaSAPPy: A tool for candidate identification in pooled forward genetic screens of haploid mammalian cells

Low-frequency somatic copy number alterations in normal human lymphocytes revealed by large-scale single-cell whole-genome profiling


A library for federated learning (a distributed machine learning process) in an enterprise environment.

IBM Federated Learning: an Enterprise Framework White Paper V0.1

Federated Learning for Healthcare Domain - Pipeline, Applications and Challenges

ACM Transactions on Computing for Healthcare

Architectural Patterns for the Design of Federated Learning Systems

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

Adaptive Aggregation For Federated Learning

FLRA: A Reference Architecture for Federated Learning Systems

Deepfakes, Phrenology, Surveillance, and More! A Taxonomy of AI Privacy Risks

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

Intrusion Detection based on Federated Learning: a systematic review

FLIPS: Federated Learning using Intelligent Participant Selection


An experimental ontology containing key terms from Open Biological and Biomedical Ontologies (OBO)

Ontology Development Kit: a toolkit for building, maintaining and standardizing biomedical ontologies

Coordinating virus research: The Virus Infectious Disease Ontology

Ontologies for increasing the FAIRness of plant research data


Contrastive Language-Audio Pretraining

Large-scale Contrastive Language-Audio Pretraining with Feature Fusion and Keyword-to-Caption Augmentation

Simple and Controllable Music Generation

AudioLDM 2: Learning Holistic Audio Generation with Self-supervised Pretraining

Moûsai: Text-to-Music Generation with Long-Context Latent Diffusion

MusicLDM: Enhancing Novelty in Text-to-Music Generation Using Beat-Synchronous Mixup Strategies

Fast Timing-Conditioned Latent Audio Diffusion

Audiobox: Unified Audio Generation with Natural Language Prompts

LLark: A Multimodal Foundation Model for Music

Masked Audio Generation using a Single Non-Autoregressive Transformer

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


C++ header-only library with methods to efficiently encode/decode Morton codes in/from 2D/3D coordinates

Efficiently Generating Geometric Inhomogeneous and Hyperbolic Random Graphs

GLIN: A (G)eneric (L)earned (In)dexing Mechanism for Complex Geometries


Open Clearing House Protocol

Mobility in the Smart Grid: Roaming Protocols for EV Charging

An Overview of EV Roaming Protocols

Security of EV-Charging Protocols

Enabling EV Roaming Through Cascading WebSockets in OCPP 1.6

Journal Européen des Systèmes Automatisés


Source code/webpage/demos for the What-If Tool

The What-If Tool: Interactive Probing of Machine Learning Models

IEEE transactions on visualization and computer graphics

Towards a multi-stakeholder value-based assessment framework for algorithmic systems

Conference on Fairness, Accountability and Transparency

Ethically Responsible Machine Learning in Fintech

Leverage zones in Responsible AI: towards a systems thinking conceptualization

Humanities and Social Sciences Communications

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

Design Patterns for Machine Learning Based Systems with Human-in-the-Loop

Scalable Artificial Intelligence for Earth Observation Data Using Hopsworks


Resolute: An Assurance Case Language for Architecture Models

Requirements Analysis of a Quad-Redundant Flight Control System

A Survey of Tool-supported Assurance Case Assessment Techniques

On Implementing Real-time Specification Patterns Using Observers

Trusta: Reasoning about Assurance Cases with Formal Methods and Large Language Models

"ReLIC: Reduced Logic Inference for Composition" for Quantifier Elimination based Compositional Reasoning

International Conference on Informatics in Control, Automation and Robotics


a generalist algorithm for cellular segmentation with human-in-the-loop capabilities

Cellpose 2.0: how to train your own model

Omnipose: a high-precision morphology-independent solution for bacterial cell segmentation

A calibrated optogenetic toolbox of stable zebrafish opsin lines

Cell non-autonomy amplifies disruption of neurulation by mosaic Vangl2 deletion in mice

NucMM Dataset: 3D Neuronal Nuclei Instance Segmentation at Sub-Cubic Millimeter Scale

Cellpose3: one-click image restoration for improved cellular segmentation

Deep Learning in Single-Cell Analysis

Biased Coupling to β-Arrestin of Two Common Variants of the CB2 Cannabinoid Receptor

Scellseg: A style-aware deep learning tool for adaptive cell instance segmentation by contrastive fine-tuning

Genome-wide screening reveals metabolic regulation of stop-codon readthrough by cyclic AMP


A python library for self-supervised learning on images.

A Simple Framework for Contrastive Learning of Visual Representations

Momentum Contrast for Unsupervised Visual Representation Learning

Masked Autoencoders Are Scalable Vision Learners

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

Emerging Properties in Self-Supervised Vision Transformers

Exploring Simple Siamese Representation Learning

Unsupervised Learning of Visual Features by Contrasting Cluster Assignments

Improved Baselines with Momentum Contrastive Learning

Big Self-Supervised Models are Strong Semi-Supervised Learners

Barlow Twins: Self-Supervised Learning via Redundancy Reduction


Extended pickling support for Python objects

The GCE in a New Light: Disentangling the γ-ray Sky with Bayesian Graph Convolutional Neural Networks.

Extracting the Galactic Center excess' source-count distribution with neural nets

The Earth Mover's Pinball Loss: Quantiles for Histogram-Valued Regression

A Serverless Engine for High Energy Physics Distributed Analysis

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

Laminar: A New Serverless Stream-based Framework with Semantic Code Search and Code Completion


We migrated to https://codeberg.org/karrot/karrot-frontend


NEURON Simulator

Modernizing the NEURON Simulator for Sustainability, Portability, and Performance

An optimizing multi-platform source-to-source compiler framework for the NEURON MODeling Language

Efficient Simulation of 3D Reaction-Diffusion in Models of Neurons and Networks

Dopaminergic and Cholinergic Modulation of Large Scale Networks in silico Using Snudda


The Framework for Modeling Behavior, Energy, Autonomy, and Mobility in Transportation Systems

Multi-Criteria, Co-Evolutionary Charging Behavior: An Agent-Based Simulation of Urban Electromobility

BEAM: The Modeling Framework for Behavior, Energy, Autonomy & Mobility


MultiNest is a Bayesian inference tool which calculates the evidence and explores the parameter space which may contain multiple posterior modes and pronounced (curving) degeneracies in moderately high dimensions.

A tale of two sites - II. Inferring the properties of minihalo-hosted galaxies with upcoming 21-cm interferometers

Monthly Notices of the Royal Astronomical Society

The 21-cm signal from the cosmic dawn: metallicity dependence of high-mass X-ray binaries


C++ compiler for heterogeneous quantum-classical computing built on Clang and XACC

A MLIR Dialect for Quantum Assembly Languages

Enabling Retargetable Optimizing Compilers for Quantum Accelerators via a Multi-Level Intermediate Representation

Enabling Multi-threading in Heterogeneous Quantum-Classical Programming Models


Overview of the NLPCC-ICCPOL 2016 Shared Task: Chinese Word Segmentation for Micro-Blog Texts

Natural Language Understanding and Intelligent Applications

Neural Chinese Word Segmentation with Lexicon and Unlabeled Data via Posterior Regularization

WEB CONFERENCE 2019: PROCEEDINGS OF THE WORLD WIDE WEB CONFERENCE (WWW 2019)

Neural Chinese Word Segmentation as Sequence to Sequence Translation


A Python implementation of Partial Least Squares (PLS) decomposition

Examining litter specific variability in mice and its impact on neurodevelopmental studies

Assessment of white matter hyperintensity severity using multimodal magnetic resonance imaging

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

A latent clinical-anatomical dimension relating metabolic syndrome to brain structure and cognition

bioRxiv : the preprint server for biology


Code associated with the paper: "Few-Shot Self-Rationalization with Natural Language Prompts"

ZARA: Improving Few-Shot Self-Rationalization for Small Language Models

Explanation-aware Soft Ensemble Empowers Large Language Model In-context Learning


A Matlab GUI for rendering 3D mouse brain structures

Mesoscale microscopy and image analysis tools for understanding the brain

Progress in biophysics and molecular biology

Histological E-data Registration in rodent Brain Spaces

Mesoscale microscopy for micromammals: image analysis tools for understanding the rodent brain


xBD: A Dataset for Assessing Building Damage from Satellite Imagery

Self-supervised pre-training enhances change detection in Sentinel-2 imagery

Hi-UCD: A Large-scale Dataset for Urban Semantic Change Detection in Remote Sensing Imagery

Semantic Change Detection with Asymmetric Siamese Networks

Change Detection Methods for Remote Sensing in the Last Decade: A Comprehensive Review


Code for the Cardiac MRI Reconstruction Challenge 2024 (CMRxRecon2024)

CMRxRecon: An open cardiac MRI dataset for the competition of accelerated image reconstruction

The Extreme Cardiac MRI Analysis Challenge under Respiratory Motion (CMRxMotion)

Deep Separable Spatiotemporal Learning for Fast Dynamic Cardiac MRI

CMRxRecon2024: A Multi-Modality, Multi-View K-Space Dataset Boosting
  Universal Machine Learning for Accelerated Cardiac MRI


“When everything is connected to everything else, for better or worse, everything matters.” Bruce Mau

INT-Hi-C reveals distinct chromatin architecture in endosperm and leaf tissues of Arabidopsis

The genome of Orychophragmus violaceus provides genomic insights into the evolution of Brassicaceae polyploidization and its distinct traits

Karyotype evolution of the Asterids insights from the first genome sequences of the family Cornaceae

DNA research : an international journal for rapid publication of reports on genes and genomes

The genome sequence and demographic history of Przewalskia tangutica (Solanaceae), an endangered alpine plant on the Qinghai–Tibet Plateau


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

A Molecular Multimodal Foundation Model Associating Molecule Graphs with Natural Language

Leveraging Biomolecule and Natural Language through Multi-Modal
  Learning: A Survey


Pipeline to annotate sequences at different taxonomic levels using  NCBI's taxonomy

COCACOLA: binning metagenomic contigs using sequence COmposition, read CoverAge, CO-alignment and paired-end read LinkAge

CONCOCT: Clustering cONtigs on COverage and ComposiTion

A Large-Scale Comparative Metagenomic Study Reveals the Functional Interactions in Six Bloom-Forming Microcystis-Epibiont Communities

Improving contig binning of metagenomic data using $$ {d}_2^S $$ oligonucleotide frequency dissimilarity

HiCBin: binning metagenomic contigs and recovering metagenome-assembled genomes using Hi-C contact maps

MetaGen: reference-free learning with multiple metagenomic samples


Official code for Generative Marginalization Models [ICML 2024] [SPGIM 2023 Workshop Oral]

MADE: Masked Autoencoder for Distribution Estimation

Flow Network based Generative Models for Non-Iterative Diverse Candidate Generation

A Deep and Tractable Density Estimator

Autoregressive Diffusion Models


Deep Learning for Extreme Multi-label Text Classification

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

AttentionXML: Label Tree-based Attention-Aware Deep Model for High-Performance Extreme Multi-Label Text Classification

Learning with Holographic Reduced Representations


Robust bayesian online changepoint detection with model selection

An Evaluation of Change Point Detection Algorithms

Doubly Robust Bayesian Inference for Non-Stationary Streaming Data with β-Divergences

Data segmentation for time series based on a general moving sum approach

Monitoring Deforestation Using Multivariate Bayesian Online Changepoint Detection with Outliers

Online Robust and Adaptive Learning from Data Streams


[NeurIPS 2024] Can LLMs Learn by Teaching? A Preliminary Study

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

Reflexion: Language Agents with Verbal Reinforcement Learning


:compass: COMPASS: Combinatorial Optimization with Policy Adaptation using Latent Space Search

Efficient Active Search for Combinatorial Optimization Problems


DiverGen (CVPR 2024)  & BSGAL (ICML 2024)

Probabilistic two-stage detection

X-Paste: Revisiting Scalable Copy-Paste for Instance Segmentation using CLIP and StableDiffusion

DiverGen: Improving Instance Segmentation by Learning Wider Data Distribution with More Diverse Generative Data

Generative Active Learning for Long-tailed Instance Segmentation


e-ViL: A Dataset and Benchmark for Natural Language Explanations in Vision-Language Tasks

e-SNLI-VE: Corrected Visual-Textual Entailment with Natural Language Explanations

AlignVE: Visual Entailment Recognition Based on Alignment Relations

Benchmarking Faithfulness: Towards Accurate Natural Language Explanations in Vision-Language Tasks


LoRA: Low-Rank Adaptation of Large Language Models

Latent Consistency Models: Synthesizing High-Resolution Images with Few-Step Inference

Training Diffusion Models with Reinforcement Learning

REBEL: Reinforcement Learning via Regressing Relative Rewards

RL for Consistency Models: Faster Reward Guided Text-to-Image Generation


Official code for "Task-Embedded Control Networks for Few-Shot Imitation Learning".

One-Shot Visual Imitation Learning via Meta-Learning

Learning One-Shot Imitation from Humans without Humans

Goal-Conditioned End-to-End Visuomotor Control for Versatile Skill Primitives


Neural min-sum decoding in TensorFlow

Deep Learning Methods for Improved Decoding of Linear Codes

IEEE Journal on Selected Topics in Signal Processing

Neural Offset Min-Sum Decoding

Learning from the Syndrome


Cox-nnet: An artificial neural network method for prognosis prediction of high-throughput omics data

The Application of Deep Learning in Cancer Prognosis Prediction

Cox-nnet: an artificial neural network method for prognosis prediction on high-throughput omics data


A framework for serving and evaluating LLM routers - save LLM costs without compromising quality!

Measuring Massive Multitask Language Understanding

Training Verifiers to Solve Math Word Problems

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

RouteLLM: Learning to Route LLMs with Preference Data


Eternal Sunshine of the Spotless Net: Selective Forgetting in Deep Networks

A Survey of Machine Unlearning

Forgetting Outside the Box: Scrubbing Deep Networks of Information Accessible from Input-Output Observations

Efficiently Forgetting What You Have Learned in Graph Representation Learning via Projection


Official implementation of "UNAS: Differentiable Architecture Search Meets Reinforcement Learning", CVPR 2020 Oral

DARTS: Differentiable Architecture Search

ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware


Dataset associated with "BOLD: Dataset and Metrics for Measuring Biases in Open-Ended Language Generation" paper

Holistic Evaluation of Language Models

Algorithmic fairness datasets: the story so far

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

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


HoloGAN

GRAF: Generative Radiance Fields for 3D-Aware Image Synthesis

StyleNeRF: A Style-based 3D-Aware Generator for High-resolution Image Synthesis

3D-aware Image Synthesis via Learning Structural and Textural Representations

Unsupervised Learning of Depth and Depth-of-Field Effect from Natural Images with Aperture Rendering Generative Adversarial Networks

HoloGAN: Unsupervised learning of 3D representations from natural images


Implementation of Self-supervised Graph-level Representation Learning with Local and Global Structure (ICML 2021).

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

Graph Self-supervised Learning with Accurate Discrepancy Learning

MetaGL: Evaluation-Free Selection of Graph Learning Models via Meta-Learning

Substructure-Atom Cross Attention for Molecular Representation Learning

Where to Mask: Structure-Guided Masking for Graph Masked Autoencoders


DisCo Transformer for Non-autoregressive MT

Mask-Predict: Parallel Decoding of Conditional Masked Language Models

Deep Encoder, Shallow Decoder: Reevaluating Non-autoregressive Machine Translation

Parallel Machine Translation with Disentangled Context Transformer

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

JANUS: Joint Autoregressive and Non-autoregressive Training with Auxiliary Loss for Sequence Generation

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

Dynamic and Efficient Inference for Text Generation via BERT Family

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

MR-P: A Parallel Decoding Algorithm for Iterative Refinement Non-Autoregressive Translation

Findings of the Association for Computational Linguistics: ACL 2022

Con-NAT: Contrastive Non-autoregressive Neural Machine Translation

Findings of the Association for Computational Linguistics: EMNLP 2022


Code to train and evaluate the GeNeVA-GAN model for the GeNeVA task proposed in our ICCV 2019 paper "Tell, Draw, and Repeat: Generating and modifying images based on continual linguistic instruction"

Tell, Draw, and Repeat: Generating and Modifying Images Based on Continual Linguistic Instruction

Text as Neural Operator: Image Manipulation by Text Instruction

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

SSCR: Iterative Language-Based Image Editing via Self-Supervised Counterfactual Reasoning

LatteGAN: Visually Guided Language Attention for Multi-Turn Text-Conditioned Image Manipulation


Understanding Deep Networks via Extremal Perturbations and Smooth Masks

Analysis of Explainers of Black Box Deep Neural Networks for Computer Vision: A Survey

Towards Better Explanations of Class Activation Mapping

The effectiveness of feature attribution methods and its correlation with automatic evaluation scores

Explaining Image Classifiers using Statistical Fault Localization

Explaining Classifiers using Adversarial Perturbations on the Perceptual Ball

TorchEsegeta: Framework for Interpretability and Explainability of Image-based Deep Learning Models

Opti-CAM: Optimizing saliency maps for interpretability

Simulator-based Explanation and Debugging of Hazard-triggering Events in DNN-based Safety-critical Systems

How explainable are adversarially-robust CNNs?


Tensorflow implementation for DilatedRNN

Dilated Recurrent Neural Networks

Understanding Recurrent Neural Architectures by Analyzing and Synthesizing Long Distance Dependencies in Benchmark Sequential Datasets

Fast ES-RNN: A GPU Implementation of the ES-RNN Algorithm


Code for "Picking Winning Tickets Before Training by Preserving Gradient Flow"  https://openreview.net/pdf?id=SkgsACVKPH

Pruning Neural Networks at Initialization: Why are We Missing the Mark?

Sparse Training via Boosting Pruning Plasticity with Neuroregeneration

Progressive Skeletonization: Trimming more fat from a network at initialization

Sanity-Checking Pruning Methods: Random Tickets can Win the Jackpot

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

Towards Structured Dynamic Sparse Pre-Training of BERT

FreezeNet: Full Performance by Reduced Storage Costs

COPS: Controlled Pruning Before Training Starts


ExORL: Exploratory Data for Offline Reinforcement Learning

Don't Change the Algorithm, Change the Data: Exploratory Data for Offline Reinforcement Learning

When should we prefer Decision Transformers for Offline Reinforcement Learning?

CUDC: A Curiosity-Driven Unsupervised Data Collection Method with Adaptive Temporal Distances for Offline Reinforcement Learning


Code for "Multi-task Reinforcement Learning with Soft Modularization"

Multi-Task Reinforcement Learning with Soft Modularization

PiCor: Multi-Task Deep Reinforcement Learning with Policy Correction

Proceedings of the AAAI Conference on Artificial Intelligence

Not All Tasks Are Equally Difficult: Multi-Task Deep Reinforcement Learning with Dynamic Depth Routing


Official codebase for "B-Pref: Benchmarking Preference-BasedReinforcement Learning" contains scripts to reproduce experiments.

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

B-Pref: Benchmarking Preference-Based Reinforcement Learning

Query-Policy Misalignment in Preference-Based Reinforcement Learning

RIME: Robust Preference-based Reinforcement Learning with Noisy
  Preferences

Rewards Encoding Environment Dynamics Improves Preference-based Reinforcement Learning


Natural language Understanding Toolkit

Cross-Lingual Adaptation using Structural Correspondence Learning

Cross-Lingual Sentiment Quantification

Lost in Transduction: Transductive Transfer Learning in Text Classification

ACM Transactions on Knowledge Discovery from Data

Cross-lingual Dataless Classification for Languages with Small Wikipedia Presence

Revisiting Distributional Correspondence Indexing: A Python Reimplementation and New Experiments


git mirror for Beautiful Soup 4.3.2

Reinforcement learning for question answering in programming domain using public community scoring as a human feedback

Popularity, face and voice: Predicting and interpreting livestreamers' retail performance using machine learning techniques

Harnessing Large Language Model to collect and analyze Metal-organic
  framework property dataset


This repo contains the source code for RULER: What’s the Real Context Size of Your Long-Context Language Models?

YaRN: Efficient Context Window Extension of Large Language Models

RULER: What's the Real Context Size of Your Long-Context Language
  Models?

Make Your LLM Fully Utilize the Context

One Thousand and One Pairs: A "novel" challenge for long-context
  language models


Matlab Code for Restricted/Deep Boltzmann Machines and Autoencoders

Classifying and Visualizing Motion Capture Sequences using Deep Neural Networks

Learnable Subspace Clustering

A Deep Bag-of-Features Model for Music Auto-Tagging

A brief survey on deep belief networks and introducing a new object oriented toolbox (DeeBNet)


SWE-agent takes a GitHub issue and tries to automatically fix it, using GPT-4, or your LM of choice. It can also be employed for offensive cybersecurity or competitive coding challenges. [NeurIPS 2024]

SWE-agent: Agent-Computer Interfaces Enable Automated Software
  Engineering

AutoCodeRover: Autonomous Program Improvement

Rethinking Software Engineering in the Foundation Model Era: From
  Task-Driven AI Copilots to Goal-Driven AI Pair Programmers


Hyperbolic Graph Neural Networks

Hyperbolic Graph Neural Networks

Graceful Degradation and Related Fields

Manifold GCN: Diffusion-based Convolutional Neural Network for Manifold-valued Graphs


Spectre attack against SGX enclave

A Systematic Evaluation of Transient Execution Attacks and Defenses

Raziel: Private and Verifiable Smart Contracts on Blockchains

Using Trusted Execution Environments for Secure Stream Processing of Medical Data - (Case Study Paper)

A Secure Cloud with Minimal Provider Trust

It Takes Two to #MeToo - Using Enclaves to Build Autonomous Trusted Systems


Official repo for paper DigiRL: Training In-The-Wild Device-Control Agents with Autonomous Reinforcement Learning.

CogAgent: A Visual Language Model for GUI Agents

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

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


Wrecking sandwich traders for fun and profit

Price of MEV: Towards a Game Theoretical Approach to MEV

DeFi and NFTs Hinder Blockchain Scalability

Do not rug on me: Zero-dimensional Scam Detection

Why Trick Me: The Honeypot Traps on Decentralized Exchanges

Proceedings of the 2023 Workshop on Decentralized Finance and Security

Towards Optimal Prior-Free Permissionless Rebate Mechanisms, with applications to Automated Market Makers & Combinatorial Orderflow Auctions


Multi-object image datasets with ground-truth segmentation masks and generative factors.

Object-Centric Learning with Slot Attention

MONet: Unsupervised Scene Decomposition and Representation

ClevrTex: A Texture-Rich Benchmark for Unsupervised Multi-Object Segmentation

Learning Object-Centric Video Models by Contrasting Sets

Autoencoder-based background reconstruction and foreground segmentation with background noise estimation

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

TUSK: Task-Agnostic Unsupervised Keypoints

Towards Improving the Generation Quality of Autoregressive Slot VAEs

Differentiable Mathematical Programming for Object-Centric Representation Learning

Exploring the Role of the Bottleneck in Slot-Based Models Through Covariance Regularization


Multi-Modal Transformer for Video Retrieval

Multi-modal Transformer for Video Retrieval

TEACHTEXT: CrossModal Generalized Distillation for Text-Video Retrieval

Exposing the Limits of Video-Text Models through Contrast Sets

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

What Matters for Ad-hoc Video Search? A Large-scale Evaluation on TRECVID

Write What You Want: Applying Text-to-Video Retrieval to Audiovisual Archives


llama and other  large language models on iOS and MacOS offline using GGML library.

LLaMA: Open and Efficient Foundation Language Models

MiniCPM: Unveiling the Potential of Small Language Models with Scalable
  Training Strategies

Cerebras-GPT: Open Compute-Optimal Language Models Trained on the Cerebras Wafer-Scale Cluster

Locally Typical Sampling

Mirostat: A Neural Text Decoding Algorithm that Directly Controls Perplexity

MELTing point: Mobile Evaluation of Language Transformers


Alternative chill models and functions to handle or download weather data


Python packages for post-processing Einstein Toolkit simulation data

kuibit: Analyzing Einstein Toolkit simulations with Python

Jets from neutron-star merger remnants and massive blue kilonovae

GRMHD Simulations of Neutron-star Mergers with Weak Interactions: r-process Nucleosynthesis and Electromagnetic Signatures of Dynamical Ejecta

Short gamma-ray burst jet propagation in binary neutron star merger environments

Monthly notices of the Royal Astronomical Society

Jet-environment interplay in magnetized binary neutron star mergers


Official implementation of "Weakly-supervised positional contrastive learning: application to cirrhosis classification", MICCAI 2023

A Simple Framework for Contrastive Learning of Visual Representations

Supervised Contrastive Learning

Contrastive Learning with Continuous Proxy Meta-Data for 3D MRI Classification


Hierarchical Taxonomy-Aware and Attentional Graph Capsule RCNNs for Large-Scale Multi-Label Text Classification

Hierarchical Interdisciplinary Topic Detection Model for Research Proposal Classification

Interdisciplinary Fairness in Imbalanced Research Proposal Topic Inference: A Hierarchical Transformer-based Method with Selective Interpolation


An initial conditions generator for Gadget, modified from N-GenIC

The BAHAMAS project: Calibrated hydrodynamical simulations for large-scale structure cosmology

Monthly Notices of the Royal Astronomical Society

An efficient implementation of massive neutrinos in non-linear structure formation simulations

The BAHAMAS project: the CMB--large-scale structure tension and the
  roles of massive neutrinos and galaxy formation

MassiveNuS: cosmological massive neutrino simulations

Journal of Cosmology and Astroparticle Physics

Non-linear evolution of the cosmic neutrino background

The separate and combined effects of baryon physics and neutrino free streaming on large-scale structure

A hydrodynamical halo model for weak-lensing cross correlations

Connecting the structure of dark matter haloes to the primordial power spectrum

Cosmology with velocity dispersion counts: an alternative to measuring cluster halo masses

Exploring extensions to the standard cosmological model and the impact of baryons on small scales


Intrinsic Evaluation of pre-trained word embeddings, using large Word Association Dataset: SWOW (Small World of Words)

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

ConceptNet 5.5: An Open Multilingual Graph of General Knowledge

Problems With Evaluation of Word Embeddings Using Word Similarity Tasks

A Survey of Word Embeddings Evaluation Methods

SWOW-8500: Word Association task for Intrinsic Evaluation of Word Embeddings

Workshop on Evaluating Vector-Space Representations for NLP


Merge Double Thompson Sampling for Large Scale Online Ranker Evaluation

Human Preferences as Dueling Bandits

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

MergeDTS: A Method for Effective Large-Scale Online Ranker Evaluation


Estimating extinction using unsupervised machine learning

Distances to Nearby Molecular Clouds Traced by Young Stars

Optimal extinction measurements - I. Single-object extinction inference

Dust extinction map of the Galactic plane based on the VVV survey data


Comparing attention-based convolutional and recurrent neural networks under adversarial attacks to investigate their success and limitations in machine reading comprehension

A Compare-Aggregate Model for Matching Text Sequences

Towards a Robust Deep Neural Network in Texts: A Survey

Comparing Attention-based Convolutional and Recurrent Neural Networks: Success and Limitations in Machine Reading Comprehension


Adaptive depth-controlled bidirecional diffusion

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

Improved Denoising Diffusion Probabilistic Models

Few-shot Image Generation with Mixup-based Distance Learning


Large Eddy Simulator for Study of Urban Boundary-Layer Flows

Domain-Specific Acceleration and Auto-Parallelization of Legacy Scientific Code in FORTRAN 77 using Source-to-Source Compilation

Towards Automatic Transformation of Legacy Scientific Code into OpenCL for Optimal Performance on FPGAs


S3GRL is a scalable SGRL method for faster link prediction using efficient precomputations.

Revisiting Semi-Supervised Learning with Graph Embeddings

Link Prediction Based on Graph Neural Networks

Simplifying Subgraph Representation Learning for Scalable Link Prediction


Probing Cosmic Reionization and Molecular Gas Growth with TIME

Revealing the formation histories of the first stars with the cosmic near-infrared background

Deep radio-interferometric imaging with POLISH: DSA-2000 and weak lensing

Fabulous code for spherical Fourier-Bessel decomposition

LIMFAST. I. A Seminumerical Tool for Line Intensity Mapping

Cosmic Near-infrared Background Tomography with SPHEREx Using Galaxy Cross-correlations

Optimal survey parameters: Ly alpha and H alpha intensity mapping for synergy with the 21-cm signal during reionization

Signatures of primordial black holes in gravitational wave clustering

Estimating the feasibility of 21cm-Lyα synergies using the hydrogen Epoch of Reionization array

Deep-learning Reconstruction of Three-dimensional Galaxy Distributions with Intensity Mapping Observations


Step by step instructions for body/thorax registration

MRF-Based Deformable Registration and Ventilation Estimation of Lung CT

Evaluation of Six Registration Methods for the Human Abdomen on Clinically Acquired CT

IEEE transactions on bio-medical engineering

Estimation of Large Motion in Lung CT by Integrating Regularized Keypoint Correspondences into Dense Deformable Registration

Estimating Large Lung Motion in COPD Patients by Symmetric Regularised Correspondence Fields

Medical Image Computing and Computer-Assisted Intervention


Code for "Discovering Non-monotonic Autoregressive Orderings with Variational Inference" (paper and code updated from ICLR 2021)

Sequence-Level Knowledge Distillation


Topic Model based on Pretrained Sentence Embeddings (with BERT)

BERTopic: Neural topic modeling with a class-based TF-IDF procedure

Topic Modeling based on Keywords and Context

Efficient and Flexible Topic Modeling using Pretrained Embeddings and Bag of Sentences


Code for measuring bispectra from cosmological simulation snapshots

Accurate initial conditions for cosmological N-body simulations: minimizing truncation and discreteness errors

A flexible modelling of galaxy assembly bias

Baryonic effects on the matter bispectrum

Simultaneous modelling of matter power spectrum and bispectrum in the presence of baryons

Three-point intrinsic alignments of dark matter haloes in the IllustrisTNG simulation

The halo bispectrum as a sensitive probe of massive neutrinos and baryon physics


C code for auto and cross power spectra evaluation.

The completed SDSS-IV extended Baryon Oscillation Spectroscopic Survey: 1000 multi-tracer mock catalogues with redshift evolution and systematics for galaxies and quasars of the final data release

BOSS Correlation Function analysis from the Effective Field Theory of Large-Scale Structure

Updated constraints from the effective field theory analysis of the BOSS power spectrum on early dark energy

Consistency of effective field theory analyses of the BOSS power spectrum

The completed SDSS-IV extended Baryon Oscillation Spectroscopic Survey: cosmological implications from multitracer BAO analysis with galaxies and voids

BOSS full-shape analysis from the EFTofLSS with exact time dependence

Cosmic void exclusion models and their impact on the distance scale measurements from large scale structure

DESI Mock Challenge: Constructing DESI galaxy catalogues based on FastPM simulations

Void BAO measurements on quasars from eBOSS


Blind Model-Based Fusion of Multi-band and Panchromatic Images

Multispectral and Hyperspectral Image Fusion by MS/HS Fusion Net

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

Hyperspectral Super-Resolution via Coupled Tensor Ring Factorization

Remote sensing image fusion via compressive sensing

Isprs Journal of Photogrammetry and Remote Sensing


Quantum Circuit Optimizer based on SVD operation

Empirical Evaluation of Circuit Approximations on Noisy Quantum Devices

Extending Python for Quantum-classical Computing via Quantum Just-in-time Compilation

QFactor: A Domain-Specific Optimizer for Quantum Circuit Instantiation

Approximate quantum gates compilation for superconducting transmon qubits with self-navigation algorithm


Human Pose Estimation in Real-World Metric Coordinates

BodySLAM: Joint Camera Localisation, Mapping, and Human Motion Tracking

BodySLAM++: Fast and Tightly-Coupled Visual-Inertial Camera and Human Motion Tracking

GloPro: Globally-Consistent Uncertainty-Aware 3D Human Pose Estimation & Tracking in the Wild


Network Together: Node Classification via Cross-Network Deep Network Embedding

IEEE transactions on neural networks and learning systems

Higher-order Structure Based Anomaly Detection on Attributed Networks

Domain Adaptive Graph Infomax via Conditional Adversarial Networks

IEEE Transactions on Network Science and Engineering

Semi-supervised Domain Adaptation on Graphs with Contrastive Learning and Minimax Entropy


MATLAB codes for the 2018 arXiv paper discussing synthesis of logical Clifford operators for stabilizer codes.

Synthesis of Logical Clifford Operators via Symplectic Geometry

International Symposium on Information Theory

Logical Clifford Synthesis for Stabilizer Codes

IEEE Transactions on Quantum Engineering

Kerdock Codes Determine Unitary 2-Designs

Classical Coding Approaches to Quantum Applications


Diffusion Models: A Comprehensive Survey of Methods and Applications

Therapeutics Data Commons: Machine Learning Datasets and Tasks for Drug Discovery and Development

Weakly Supervised Anomaly Detection: A Survey

PyHealth: A Python Library for Health Predictive Models

ADMoE: Anomaly Detection with Mixture-of-Experts from Noisy Labels

A Large-scale Study on Unsupervised Outlier Model Selection: Do Internal Strategies Suffice?

TOD: GPU-accelerated Outlier Detection via Tensor Operations


Defeasible Natural Language Inference

A large annotated corpus for learning natural language inference

ATOMIC: An Atlas of Machine Commonsense for If-Then Reasoning

Social Chemistry 101: Learning to Reason about Social and Moral Norms

Thinking Like a Skeptic: Defeasible Inference in Natural Language

Think about it! Improving defeasible reasoning by first modeling the question scenario.

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

Could you give me a hint? Generating inference graphs for defeasible reasoning


Threat hunting in social media

Part-of-Speech Tagging with Bidirectional Long Short-Term Memory Recurrent Neural Network

Automatic Labeling for Entity Extraction in Cyber Security

Towards a relation extraction framework for cyber-security concepts

Proceedings of the 10th Annual Cyber and Information Security Research Conference


Contour binning code

A three-component giant radio halo: The puzzling case of the galaxy cluster Abell 2142

Deep Chandra observations of merging galaxy cluster ZwCl 2341+0000

Locating the CSM Emission within the Type Ia Supernova Remnant N103B

Constraints on thermal conductivity in the merging cluster Abell 2146


Python code of the paper Model order reduction of deep structured state-space models: A system-theoretic approach

Efficiently Modeling Long Sequences with Structured State Spaces

Resurrecting Recurrent Neural Networks for Long Sequences

dynoNet: a neural network architecture for learning dynamical systems

From system models to class models: An in-context learning paradigm


ACM Multimedia - Opensmile: the munich versatile and fast open-source audio feature extractor

SUPERB: Speech processing Universal PERformance Benchmark

User-Level Differential Privacy against Attribute Inference Attack of Speech Emotion Recognition in Federated Learning

Attribute Inference Attack of Speech Emotion Recognition in Federated Learning Settings


The evolving SARS-CoV-2 epidemic in Africa: Insights from rapidly expanding genomic surveillance

Dispersal patterns and influence of air travel during the global expansion of SARS-CoV-2 variants of concern

Early introductions and community transmission of SARS-CoV-2 variant B.1.1.7 in the United States

medRxiv : the preprint server for health sciences

Global Expansion of SARS-CoV-2 Variants of Concern: Dispersal Patterns and Influence of Air Travel

Implementation of genomic surveillance of SARS-CoV-2 in the Caribbean: Lessons learned for sustainability in resource-limited settings

Unveiling the Impact of the Omicron Variant: Insights from Genomic Surveillance in Mato Grosso do Sul, Midwest Brazil

Early Detection of the Recombinant SARS-CoV-2 XAN Variant in Bulgaria: Initial Genomic Insights into Yet Another Piece of the Growing Puzzle of Recombinant Clades


Code for "Restricted Boltzmann Machine Flows and The Critical Temperature of Ising models"

A high-bias, low-variance introduction to Machine Learning for physicists

An exact mapping between the Variational Renormalization Group and Deep Learning

Scale-invariant feature extraction of neural network and renormalization group flow


Microglia morphology quantification tool

Automated Morphological Analysis of Microglia After Stroke

Active poly-GA vaccination prevents microglia activation and motor deficits in a C9orf72 mouse model

The NKCC1 ion transporter modulates microglial phenotype and inflammatory response to brain injury in a cell-autonomous manner

Microglial morphometric analysis: so many options, so little consistency

LRRC8A is dispensable for a variety of microglial functions and response to acute stroke

Microglia undergo rapid phenotypic transformation in acute brain slices but remain essential for neuronal synchrony


Open Domain Question Answering Using Early Fusion of Knowledge Bases and Text

ReTraCk: A Flexible and Efficient Framework for Knowledge Base Question Answering

Meeting of the Association for Computational Linguistics

SQALER: Scaling Question Answering by Decoupling Multi-Hop and Logical Reasoning


Julia package for computing Hamilton-Jacobi Reachability of optimal 2-player (control/disturbance) differential games via Hopf optimization

Koopman-Hopf Hamilton-Jacobi Reachability and Control

Conservative Linear Envelopes for High-Dimensional, Hamilton-Jacobi
  Reachability for Nonlinear Systems via the Hopf Formula


An open-source package of causal feature selection and causal (Bayesian network) structure learning (Matlab version)

Towards Efficient Local Causal Structure Learning

Feature Selection for Efficient Local-to-global Bayesian Network Structure Learning

Local Causal Structure Learning in the Presence of Latent Variables


The Continual Learning App

Latent Replay for Real-Time Continual Learning

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

Continual Learning at the Edge: Real-Time Training on Smartphone Devices


[NeurIPS 2023] Multi-fidelity hyperparameter optimization with deep power laws that achieves state-of-the-art results across diverse benchmarks.

Scaling Laws for Hyperparameter Optimization

In-Context Freeze-Thaw Bayesian Optimization for Hyperparameter Optimization


Adversarial Continual Learning for Multi-Domain Hippocampal Segmentation

Incremental Learning Techniques for Semantic Segmentation

Importance Driven Continual Learning for Segmentation Across Domains


Transfer Learning in Biomedical Natural Language Processing: An Evaluation of BERT and ELMo on Ten Benchmarking Datasets

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

ELECTRAMed: a new pre-trained language representation model for biomedical NLP


DJL Equation Solver

Stratification effects on shoaling internal solitary waves

Observations of Breaking Internal Tides on the Australian North West Shelf Edge

Strongly Nonlinear Effects on Determining Internal Solitary Wave Parameters From Surface Signatures With Potential for Remote Sensing Applications


BiSUNA framework specialized to compile for the Xilinx Alveo U50

Preliminary study of applied binary neural networks for neural cryptography

Genetic and Evolutionary Computation Conference

Using Neuroevolved Binary Neural Networks to solve reinforcement learning environments

Asia Pacific Conference on Circuits and Systems

Evolved Binary Neural Networks Through Harnessing FPGA Capabilities

International Conference on Field-Programmable Technology

FPGA deployment of neuroevolved Binary Neural Networks

2020 IEEE Asia-Pacific Conference on Computer Science and Data Engineering (CSDE)


Code accompanying the notMIWAE paper

not-MIWAE: Deep Generative Modelling with Missing not at Random Data

Multiple Imputation with Neural Network Gaussian Process for High-dimensional Incomplete Data


Paper list of federated learning: About system design

Federated Machine Learning: Concept and Applications

Practical Secure Aggregation for Privacy-Preserving Machine Learning

PipeDream: generalized pipeline parallelism for DNN training

Symposium on Operating Systems Principles

A Survey on Distributed Machine Learning

A Comprehensive Survey of Privacy-preserving Federated Learning: A Taxonomy, Review, and Future Directions

A generic communication scheduler for distributed DNN training acceleration

TiFL: A Tier-based Federated Learning System

CHET: an optimizing compiler for fully-homomorphic neural-network inferencing

Programming Language Design and Implementation

F1: A Fast and Programmable Accelerator for Fully Homomorphic Encryption

PROCEEDINGS OF 54TH ANNUAL IEEE/ACM INTERNATIONAL SYMPOSIUM ON MICROARCHITECTURE, MICRO 2021

FedAT: A High-Performance and Communication-Efficient Federated Learning System with Asynchronous Tiers


Analysis pipeline for HST/WFC3 spectroscopic observations of exoplanet transits and eclipses

A population study of hot Jupiter atmospheres

Water vapour in the atmosphere of the habitable-zone eight-Earth-mass planet K2-18 b

DETECTION OF AN ATMOSPHERE AROUND THE SUPER-EARTH 55 CANCRI E

Early Release Science of the exoplanet WASP-39b with JWST NIRISS

A NEW APPROACH TO ANALYZING HST SPATIAL SCANS: THE TRANSMISSION SPECTRUM OF HD 209458 b

ARES I: WASP-76 b, A Tale of Two HST Spectra

ARES. II. Characterizing the Hot Jupiters WASP-127 b, WASP-79 b, and WASP-62b with the Hubble Space Telescope*

Hubble WFC3 Spectroscopy of the Habitable-zone Super-Earth LHS 1140 b

Five Key Exoplanet Questions Answered via the Analysis of 25 Hot-Jupiter Atmospheres in Eclipse

The Astrophysical Journal Supplement Series

ARES. V. No Evidence For Molecular Absorption in the HST WFC3 Spectrum of GJ 1132 b


The implementation for "Skeleton-Based Action Recognition with Shift Graph Convolutional Network" (CVPR2020 oral).

Skeleton-Based Action Recognition With Shift Graph Convolutional Network

Normalizing Flows for Human Pose Anomaly Detection

Anonymization for Skeleton Action Recognition


The Python toolkit for computing with string diagrams.

Quantum Natural Language Processing on Near-Term Quantum Computers

lambeq: An Efficient High-Level Python Library for Quantum NLP

DisCoPy: Monoidal Categories in Python

A gentle introduction to Quantum Natural Language Processing

Category Theory for Quantum Natural Language Processing

Categorical Tools for Natural Language Processing


Collection of scientific publications that explore, model and predict customer churn and lifetime value (CLV)

Predicting Customer Value Using Clumpiness: From RFM to RFMC

A Joint Model of Usage and Churn in Contractual Settings

Ticking Away the Moments: Timing Regularity Helps to Better Predict Customer Activity

Modeling Purchasing Behavior with Sudden “Death”: A Flexible Customer Lifetime Model

Leveraging purchase regularity for predicting customer behavior the easy way

International Journal of Research in Marketing

The Role of Time-Varying Contextual Factors in Latent Attrition Models for Customer Base Analysis

“How to Project Customer Retention” Revisited: The Role of Duration Dependence


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

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

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


Code Repository for the IndicXNLI paper.

IndicXNLI: Evaluating Multilingual Inference for Indian Languages

L3Cube-IndicSBERT: A simple approach for learning cross-lingual sentence representations using multilingual BERT

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


Fast but inaccurate adapter trimmer for Illumina reads

Neuronal brain-region-specific DNA methylation and chromatin accessibility are associated with neuropsychiatric trait heritability

A comparison of humans and baboons suggests germline mutation rates do not track cell divisions

Portability of Scientific Workflows in NGS Data Analysis: A Case Study

Investigation of Genetic Causes in Patients with Congenital Heart Disease in Qatar: Findings from the Sidra Cardiac Registry

Complete Chloroplast Genome Sequence of a Black Spruce (Picea mariana) from Eastern Canada

Genetic evaluation of cardiomyopathies in Qatar identifies enrichment of pathogenic sarcomere gene variants and possible founder disease mutations in the Arabs

Integrative omics analysis of the mechanisms underlying left ventricular diastolic dysfunction in cynomolgus monkeys with spontaneous type 2 diabetes mellitus


A ML-ready curated data set for a wide range of seismic signals from Pacific Northwest

Curated Pacific Northwest AI-ready Seismic Dataset

SeisCLIP: A seismology foundation model pre-trained by multi-modal data for multi-purpose seismic feature extraction


Sequence Taxonomic Assignment by Massive Pairwise Alignments

Microbial Communities on Plastic Polymers in the Mediterranean Sea

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

Cascabel: A Scalable and Versatile Amplicon Sequence Data Analysis Pipeline Delivering Reproducible and Documented Results

Cascabel: a flexible, scalable and easy-to-use amplicon sequence data analysis pipeline

Heterogeneity of the rice microbial community of the Chinese centuries‐old Honghe Hani rice terraces system

Predicting global distributions of eukaryotic plankton communities from satellite data

Bacteriome Diversity of Blackflies’ Gut and Association with Onchocerca volvulus, the Causative Agent of Onchocerciasis in Mbam Valley (Center Region, Cameroon)

Unveiling hidden eukaryotes: diversity of Endomyxa (Rhizaria) in coastal marine habitats

Global observation of plankton communities from space


Is a Single Vector Enough? Exploring Node Polysemy for Network Embedding

Unsupervised Differentiable Multi-aspect Network Embedding

Multi-Facet Recommender Networks with Spherical Optimization


Initial public release of code, data, and model weights for FourCastNet

FourCastNet: A Global Data-driven High-resolution Weather Model using Adaptive Fourier Neural Operators

Do AI models produce better weather forecasts than physics-based models? A quantitative evaluation case study of Storm Ciarán

Uncertainty quantification for data-driven weather models

Neural Operator: Is data all you need to model the world? An insight into the impact of Physics Informed Machine Learning

FourCastNeXt: Improving FourCastNet Training with Limited Compute

Verification against in-situ observations for Data-Driven Weather Prediction


Federated Bilevel Optimization

Optimizing Millions of Hyperparameters by Implicit Differentiation

FedNest: Federated Bilevel, Minimax, and Compositional Optimization

SimFBO: Towards Simple, Flexible and Communication-efficient Federated Bilevel Learning


A data web service, lightning talk.

Evaluation, Treatment, and Prevention of Vitamin D Deficiency: an Endocrine Society Clinical Practice Guideline

The Journal of clinical endocrinology and metabolism

Histopathologic and Myogenic Gene Expression Changes Associated with Wooden Breast in Broiler Breast Muscles

Epidemiology of East Coast fever (Theileria parva infection) in Kenya: past, present and the future

Tribology of selective laser melting processed parts: Stainless steel 316 L under lubricated conditions

A Spatial Analysis of Land Use and Network Effects on Frequency and Severity of Cyclist–Motorist Crashes in the Copenhagen Region

Bone morphogenetic proteins regulate enteric gliogenesis by modulating ErbB3 signaling

Preliminary Comparison of Properties between Ni-electroplated Stainless Steel Parts Fabricated with Laser Additive Manufacturing and Conventional Machining☆

Characterization of stress response involved in chicken myopathy.

Primate and feline lentiviruses in current intrinsic immunity research: The cat is back

Veterinary immunology and immunopathology

Investigating the reasons behind the intention to report cycling crashes to the police and hospitals in Denmark

Transportation Research Part F: Traffic Psychology and Behaviour


Multi Exponential Relaxation Analysis toolbox for MATLAB

Evaluation of principal component analysis image denoising on multi‐exponential MRI relaxometry

Double diffusion encoding and applications for biomedical imaging

Quantitative Multicomponent T2 Relaxation Showed Greater Sensitivity Than Flair Imaging to Detect Subtle Alterations at the Periphery of Lower Grade Gliomas

Non‐lesional white matter in relapsing–remitting multiple sclerosis assessed by multicomponent T2 relaxation


Methods for mapping proteomics data on 3D protein structure.

The iPlant Collaborative: Cyberinfrastructure for Plant Biology

The iPlant Collaborative: Cyberinfrastructure for Enabling Data to Discovery for the Life Sciences

Binder 2.0 - Reproducible, interactive, sharable environments for science at scale

Proceedings of the Python in Science Conferences

3Dmol.js: molecular visualization with WebGL

A Curated Resource for Phosphosite-specific Signature Analysis

Chemical proteomics reveals new targets of cysteine sulfinic acid reductase

Diverse Redoxome Reactivity Profiles of Carbon Nucleophiles

Journal of the American Chemical Society

Towards an efficient compression of 3D coordinates of macromolecular structures

BioJava-ModFinder: identification of protein modifications in 3D structures from the Protein Data Bank


R package for sliding window analysis

Continent-wide genomic signatures of adaptation to urbanisation in a songbird across Europe

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

Genomics of altitude-associated wing shape in two tropical butterflies

Genomic evidence reveals three W-autosome fusions in Heliconius butterflies


Matlab package for Tensor decompositions

Multi-Way Analysis Coupled with Near-Infrared Spectroscopy in Food Industry: Models and Applications

CP decomposition for tensors via alternating least squares with QR decomposition

A Fast Implementation for the Canonical Polyadic Decomposition

Tensor decompositions and algorithms, with applications to tensor learning


Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation

BiSeNet: Bilateral Segmentation Network for Real-time Semantic Segmentation

ICNet for Real-Time Semantic Segmentation on High-Resolution Images

Spatial As Deep: Spatial CNN for Traffic Scene Understanding


Pointer Networks in PyTorch

Get To The Point: Summarization with Pointer-Generator Networks

Pointer Networks

Order Matters: Sequence to sequence for sets

Neural Models for Sequence Chunking


[ICML 2021] Learning Task Informed Abstractions -- a representation learning approach for model-based RL in complex visual domains

Learning Task Informed Abstractions

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

Combining Reconstruction and Contrastive Methods for Multimodal Representations in RL


Gaussian Processes GaPP code auxiliary repository

Measuring cosmological parameters with a luminosity-time correlation of gamma-ray bursts

Monthly Notices of the Royal Astronomical Society

Cosmic chronometers to calibrate the ladders and measure the curvature of the Universe. A model-independent study

Nonparametric reconstruction of interaction in the cosmic dark sector

Revisiting a non-parametric reconstruction of the deceleration parameter from combined background and the growth rate data

Model-independent constraints on cosmic curvature: implication from the future space gravitational-wave antenna DECIGO

Constraining the curvature density parameter in cosmology

Multiple Measurements of Gravitational Waves Acting as Standard Probes: Model-independent Constraints on the Cosmic Curvature with DECIGO

Assessment of the cosmic distance duality relation using Gaussian process

Late-time phenomenology required to solve the H_0 tension in view of the cosmic ladders and the anisotropic and angular BAO data sets

Low-redshift estimates of the absolute scale of baryon acoustic oscillations


Continual Learning for Visual Search with Backward Consistent Feature Embedding, CVPR 2022 https://openaccess.thecvf.com/content/CVPR2022/papers/Wan_Continual_Learning_for_Visual_Search_With_Backward_Consistent_Feature_Embedding_CVPR_2022_paper.pdf

Learning without Forgetting

Towards Backward-Compatible Representation Learning

On the Exploration of Incremental Learning for Fine-grained Image Retrieval


PRedictor of IMmunogenic Epitopes

Prediction of neo-epitope immunogenicity reveals TCR recognition determinants and provides insight into immunoediting

Sensitive Immunopeptidomics by Leveraging Available Large-Scale Multi-HLA Spectral Libraries, Data-Independent Acquisition, and MS/MS Prediction

Improved predictions of antigen presentation and TCR recognition with MixMHCpred2.2 and PRIME2.0 reveal potent SARS-CoV-2 CD8+ T-cell epitopes

Computational cancer neoantigen prediction: current status and recent advances

A transfer-learning approach to predict antigen immunogenicity and T-cell receptor specificity


RGB-T Image Saliency Detection via Collaborative Graph Learning

RGBT Salient Object Detection: A Large-scale Dataset and Benchmark

A Unified RGB-T Saliency Detection Benchmark: Dataset, Baselines, Analysis and A Novel Approach

Mirror Complementary Transformer Network for RGB-thermal Salient Object Detection


A simple MATLAB regression toolbox

Machine Learning Regression Approaches for Colored Dissolved Organic Matter (CDOM) Retrieval with S2-MSI and S3-OLCI Simulated Data

Retrieval of High Spatiotemporal Resolution Leaf Area Index with Gaussian Processes, Wireless Sensor Network, and Satellite Data Fusion

Retrieval of Case 2 Water Quality Parameters with Machine Learning


PyTorch implementation of MulMON

Learning Object-Centric Representations of Multi-Object Scenes from Multiple Views

Unsupervised Learning of Compositional Scene Representations from Multiple Unspecified Viewpoints

Unsupervised Object-Centric Learning from Multiple Unspecified Viewpoints


Large-scale performance data of Hadoop and Spark on AWS

Scout: An Experienced Guide to Find the Best Cloud Configuration

Get Your Memory Right: The Crispy Resource Allocation Assistant for Large-Scale Data Processing

Ruya: Memory-Aware Iterative Optimization of Cluster Configurations for Big Data Processing

Karasu: A Collaborative Approach to Efficient Cluster Configuration for Big Data Analytics

Perona: Robust Infrastructure Fingerprinting for Resource-Efficient Big Data Analytics


A graph-inspired data structure for determining likely chains of sequences from breadcrumbs of evidence

On the complexity of haplotyping a microbial community

Probabilistic recovery of cryptic haplotypes from metagenomic data

Advances in the recovery of haplotypes from the metagenome


reconstruction algorithms for snapshot compressive imaging

Rank Minimization for Snapshot Compressive Imaging

IEEE transactions on pattern analysis and machine intelligence

Plug-and-Play Algorithms for Large-scale Snapshot Compressive Imaging

Memory-Efficient Network for Large-scale Video Compressive Sensing

MetaSCI: Scalable and Adaptive Reconstruction for Video Compressive Sensing


Label-Imbalanced and Group-Sensitive Classification under Overparameterization

Learning Imbalanced Datasets with Label-Distribution-Aware Margin Loss

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

Escaping Saddle Points for Effective Generalization on Class-Imbalanced Data


Attention-based end-to-end ASR on TIMIT in PyTorch

Effective Approaches to Attention-based Neural Machine Translation

Attention-Based Models for Speech Recognition

Listen, Attend and Spell


Numerical illustration of a novel analysis framework for consensus-based optimization (CBO) and numerical experiments demonstrating the practicability of the method

Convergence of Anisotropic Consensus-Based Optimization in Mean-Field Law

Leveraging Memory Effects and Gradient Information in Consensus-Based Optimization: On Global Convergence in Mean-Field Law

Gradient is All You Need?


Datasets of X-Ray imaging for detection of COVID-19

COVIDGR Dataset and COVID-SDNet Methodology for Predicting COVID-19 Based on Chest X-Ray Images

A Survey of Machine Learning Techniques for Detecting and Diagnosing COVID-19 from Imaging

COVID-19 Diagnosis from Medical Images Using Transfer Learning

Saudi Journal of Health Systems Research

WMR-DepthwiseNet: A Wavelet Multi-Resolution Depthwise Separable Convolutional Neural Network for COVID-19 Diagnosis

CoVScreen: Pitfalls and recommendations for screening COVID-19 using
  Chest X-rays


Characterizing and evaluating adversarial examples for Offline Handwritten Signature Verification

Towards Deep Learning Models Resistant to Adversarial Attacks

Ensemble Adversarial Training: Attacks and Defenses

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

Characterizing and Evaluating Adversarial Examples for Offline Handwritten Signature Verification

IEEE Transactions on Information Forensics and Security


Package for CGD and ACGD optimizers

Competitive Gradient Descent

Implicit competitive regularization in GANs

Competitive Physics Informed Networks

Comparison of Neural FEM and Neural Operator Methods for applications in Solid Mechanics


Detects air particulate matter (PM - pm1, pm2.5, pm10) concentrations and sends data to an MQTT server. An alternative firmware for ESP8266 devices like the NodeMCU board written for Arduino IDE and PlatformIO


Code for Diagnosing Bottlenecks in Deep Q-learning. Contains implementations of tabular environments plus solvers.

Diagnosing Bottlenecks in Deep Q-learning Algorithms

DisCor: Corrective Feedback in Reinforcement Learning via Distribution Correction

Offline RL With Realistic Datasets: Heteroskedasticity and Support Constraints


The Health Gym: Synthetic Health-Related Datasets for the Development of Reinforcement Learning Algorithms

Generating Synthetic Clinical Data that Capture Class Imbalanced Distributions with Generative Adversarial Networks: Example using Antiretroviral Therapy for HIV

Synthetic Health-related Longitudinal Data with Mixed-type Variables Generated using Diffusion Models


BookNLP, a natural language processing pipeline for books

An Annotated Dataset of Coreference in English Literature

Speak, Memory: An Archaeology of Books Known to ChatGPT/GPT-4

Measuring Information Propagation in Literary Social Networks

The Project Dialogism Novel Corpus: A Dataset for Quotation Attribution in Literary Texts

Improving Automatic Quotation Attribution in Literary Novels

Grounding Characters and Places in Narrative Texts

One Graph to Rule them All: Using NLP and Graph Neural Networks to analyse Tolkien's Legendarium

MONAPipe: Modes of Narration and Attribution Pipeline for German Computational Literary Studies and Language Analysis in spaCy

Conference on Natural Language Processing

Dataopsy: Scalable and Fluid Visual Exploration using Aggregate Query Sculpting

Are Fairy Tales Fair? Analyzing Gender Bias in Temporal Narrative Event Chains of Children's Fairy Tales


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

mixup: Beyond Empirical Risk Minimization

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

Dynamic Scale Training for Object Detection


Repository of the integrated mouse gut metagenomic catalog

Reproducible changes in the gut microbiome suggest a shift in microbial and host metabolism during spaceflight

Impaired glucose metabolism and altered gut microbiome despite calorie restriction of ob/ob mice

An integrated metagenome catalog reveals novel insights into the murine gut microbiome

Genome-Based Targeted Sequencing as a Reproducible Microbial Community Profiling Assay

Shotgun metagenomics and systemic targeted metabolomics highlight indole-3-propionic acid as a protective gut microbial metabolite against influenza infection

MRGM: a mouse reference gut microbiome reveals a large functional discrepancy for gut bacteria of the same genus between mice and humans


PyTorch implementation of MLP-Mixer: An all-MLP Architecture for Vision

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

EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks

Calibrated Learning to Defer with One-vs-All Classifiers


PyTorch implementation of VQ-VAE applied on CIFAR10 dataset

Deep Residual Learning for Image Recognition

Neural Discrete Representation Learning

Theory and Experiments on Vector Quantized Autoencoders


Official release of source code for the Disclosure Avoidance System (DAS) used to protect against the disclosure of individual information based on published statistical summaries.

Transparent Privacy is Principled Privacy

Making Differential Privacy Work for Census Data Users

An in-depth examination of requirements for disclosure risk assessment

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

Noisy Measurements Are Important, the Design of Census Products Is Much More Important

Algorithmic Transparency and Participation through the Handoff Lens:
  Lessons Learned from the U.S. Census Bureau's Adoption of Differential
  Privacy


linelist generator

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

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

The R-Process Alliance: Fourth Data Release from the Search for
  r-Process-Enhanced Stars in the Galactic Halo

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

Linemake: An Atomic and Molecular Line List Generator

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

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

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

Pristine IX: CFHT ESPaDOnS Spectroscopic Analysis of 115 Bright
  Metal-Poor Candidate Stars

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


Conservative Q-Learning for Offline Reinforcement Learning

Off-Policy Deep Reinforcement Learning without Exploration

COMBO: Conservative Offline Model-Based Policy Optimization

PLAS: Latent Action Space for Offline Reinforcement Learning


Small collection of random useful perl scripts

Genome-based microbial ecology of anammox granules in a full-scale wastewater treatment system

Draft genome sequences of Hirudo medicinalis and salivary transcriptome of three closely related medicinal leeches

Genome and transcriptome assemblies of the kuruma shrimp, Marsupenaeus japonicus


Collection of Python scripts for parsing/analyses of RAD-seq data

Morphological stasis masks ecologically divergent coral species on tropical reefs

Phylogenomic analyses confirm a novel invasive North American Corbicula (Bivalvia: Cyrenidae) lineage.

Ploidy Variation and Its Implications for Reproduction and Population Dynamics in Two Sympatric Hawaiian Coral Species

Population structure and clonal prevalence of scleractinian corals (Montipora capitata and Porites compressa) in Kaneohe Bay, Oahu

Peeling back the layers of coral holobiont multi-omics data


A deep learning model to predict anticancer peptides.

ACP-DL: A Deep Learning Long Short-Term Memory Model to Predict Anticancer Peptides Using High-Efficiency Feature Representation

ACP-DA: Improving the Prediction of Anticancer Peptides Using Data Augmentation

ACP-ADA: A Boosting Method with Data Augmentation for Improved Prediction of Anticancer Peptides

International journal of molecular sciences

ACP-BC: A Model for Accurate Identification of Anticancer Peptides Based on Fusion Features of Bidirectional Long Short-Term Memory and Chemically Derived Information

An Augmented Sample Selection Framework for Prediction of Anticancer Peptides


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

DeBERTa: Decoding-enhanced BERT with Disentangled Attention

Document Ranking with a Pretrained Sequence-to-Sequence Model

Yes, BM25 is a Strong Baseline for Legal Case Retrieval

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

International Conference on Artificial Intelligence and Law

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

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


(Official) PyTorch implementation for Efficient Episodic Memory Utilization of Cooperative Multi-Agent Reinforcement Learning (EMU) (ICLR 2024, Oral)

QPLEX: Duplex Dueling Multi-Agent Q-Learning

Celebrating Diversity in Shared Multi-Agent Reinforcement Learning

Episodic Multi-agent Reinforcement Learning with Curiosity-Driven Exploration


Combines Bayesian analyses from many datasets.

The eROSITA Final Equatorial-Depth Survey (eFEDS)

The Empirical Limits of Gyrochronology

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

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

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

Statistical Aspects of X-ray Spectral Analysis


A Full Featured Multiple Sequence Alignment Editor.

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

Heat Shock Protein 20 Gene Superfamilies in Red Algae: Evolutionary and Functional Diversities

Floridean Starch and Floridoside Metabolic Pathways of Neoporphyra haitanensis and Their Regulatory Mechanism under Continuous Darkness

Genome-Wide Identification and Functional Analysis of the GASA Gene Family Responding to Multiple Stressors in Canavalia rosea

Expression of A New Endogenous Retrovirus-Associated Transcript in Hodgkin Lymphoma Cells

The Characterization of R2R3-MYB Genes in Ammopiptanthus nanus Uncovers That the miR858-AnaMYB87 Module Mediates the Accumulation of Anthocyanin under Osmotic Stress

Genetic Diversity Analysis of Surface-Related Antigen (SRA) in Plasmodium falciparum Imported From Africa to China

Genetic Variation of the Serine Acetyltransferase Gene Family for Sulfur Assimilation in Maize


Findings of the WMT 2023 Shared Task on Parallel Data Curation

Proceedings of the Eighth Conference on Machine Translation

SentAlign: Accurate and Scalable Sentence Alignment

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


Source code and dataset for KDD 2020 paper "Controllable Multi-Interest Framework for Recommendation"

DiffuRec: A Diffusion Model for Sequential Recommendation

Rethinking Multi-Interest Learning for Candidate Matching in Recommender Systems

Improving Micro-video Recommendation via Contrastive Multiple Interests

Generative Retrieval with Semantic Tree-Structured Item Identifiers via Contrastive Learning

Improving Multi-Interest Network with Stable Learning

Attribute Simulation for Item Embedding Enhancement in Multi-interest Recommendation


Reproducing the Image Super-Resolution via Iterative Refinement paper.

Large Scale GAN Training for High Fidelity Natural Image Synthesis

Generative Modeling by Estimating Gradients of the Data Distribution


Source code for <Sequence-Level Training for Non-Autoregressive Neural Machine Translation>.

Sequence-Level Knowledge Distillation

Levenshtein Transformer

Relational Surrogate Loss Learning


The implementation for DropMessage.

Improving neural networks by preventing co-adaptation of feature detectors

DropEdge: Towards Deep Graph Convolutional Networks on Node Classification

Graph Random Neural Network for Semi-Supervised Learning on Graphs

DropMessage: Unifying Random Dropping for Graph Neural Networks


Deep Residual Learning for Image Recognition

TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation

ParaTransCNN: Parallelized TransCNN Encoder for Medical Image
  Segmentation


Public repository for the work on bandit problems

Variational inference for the multi-armed contextual bandit

Bayesian bandits: balancing the exploration-exploitation tradeoff via double sampling

Nonparametric Gaussian Mixture Models for the Multi-Armed Bandit


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

International Conference on Computational Linguistics

Simple Embedding-Based Word Sense Disambiguation

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


AttriGuard: A Practical Defense Against Attribute Inference Attacks via Adversarial Machine Learning

Defending against Machine Learning based Inference Attacks via Adversarial Examples: Opportunities and Challenges

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


A time-discrete race simulator written in Rust

A Race Simulation for Strategy Decisions in Circuit Motorsports

International Conference on Intelligent Transportation Systems

Application of Monte Carlo Methods to Consider Probabilistic Effects in a Race Simulation for Circuit Motorsport

Virtual Strategy Engineer: Using Artificial Neural Networks for Making Race Strategy Decisions in Circuit Motorsport


The Randomized Conditional Independence Test (RCIT) and the Randomized conditional Correlation Test (RCoT)

Approximate Kernel-based Conditional Independence Tests for Fast Non-Parametric Causal Discovery

Conditional independence testing based on a nearest-neighbor estimator of conditional mutual information

Nonlinear Sufficient Dimension Reduction with a Stochastic Neural Network

Applying causal discovery to single-cell analyses using CausalCell

A New Paradigm for Generative Adversarial Networks Based on Randomized Decision Rules


Improving Fairness in Graph Neural Networks via Mitigating Sensitive Attribute Leakage

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

Fairness and Explainability: Bridging the Gap Towards Fair Model Explanations

Graph Fairness Learning under Distribution Shifts


[BMVC2023] Official code for TEMI: Exploring the Limits of Deep Image Clustering using Pretrained Models


Language identification and normalisation in code switching data tailored with a three-step decoding process

CoMeT: Towards Code-Mixed Translation Using Parallel Monolingual Sentences

Proceedings of the Fifth Workshop on Computational Approaches to Linguistic Code-Switching

Translate and Classify: Improving Sequence Level Classification for English-Hindi Code-Mixed Data

Battling Hateful Content in Indic Languages HASOC '21

PreCogIIITH at HinglishEval : Leveraging Code-Mixing Metrics & Language Model Embeddings To Estimate Code-Mix Quality


FFB: A Fair Fairness Benchmark for In-Processing Group Fairness Methods.


Paper list of dementia detection

Linguistic Features Identify Alzheimer's Disease in Narrative Speech.

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

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

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

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

IEEE Journal on Selected Topics in Signal Processing

Linguistic markers predict onset of Alzheimer's disease

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

Detecting cognitive decline using speech only: The ADReSSo Challenge

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

Predicting MCI Status From Multimodal Language Data Using Cascaded Classifiers


Reasoning Over Knowledge Graph Paths for Recommendation

Explainable Reasoning over Knowledge Graphs for Recommendation

Chains of Reasoning over Entities, Relations, and Text using Recurrent Neural Networks

Learning Triple Embeddings from Knowledge Graphs

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

Rule-Guided Graph Neural Networks for Recommender Systems


DeepLocalize: Fault Localization for Deep NeuralNetworks

DeepLocalize: Fault Localization for Deep Neural Networks

DeepDiagnosis: Automatically Diagnosing Faults and Recommending Actionable Fixes in Deep Learning Programs

An Effective Data-Driven Approach for Localizing Deep Learning Faults


Scaled Gradient Descent for Low-rank Matrix and Tensor Estimation

Accelerating Ill-Conditioned Low-Rank Matrix Estimation via Scaled Gradient Descent

Low-Rank Matrix Recovery With Scaled Subgradient Methods: Fast and Robust Convergence Without the Condition Number

Scaling and Scalability: Provable Nonconvex Low-Rank Tensor Estimation from Incomplete Measurements

A Scalable Second Order Method for Ill-Conditioned Matrix Completion from Few Samples

Inductive Matrix Completion: No Bad Local Minima and a Fast Algorithm

Escaping Saddle Points in Ill-Conditioned Matrix Completion with a Scalable Second Order Method


A tool for plotting CAFE5 gene family expansion/contraction result

Genome Assembly and Microsatellite Marker Development Using Illumina and PacBio Sequencing in the Carex pumila (Cyperaceae) from Korea

Comparative genomics reveals intra and inter species variation in the pathogenic fungus Batrachochytrium dendrobatidis


Unsupervised Anomaly Localization using Variational Auto-Encoders

Reversing the Abnormal: Pseudo-Healthy Generative Networks for Anomaly Detection

What do we learn? Debunking the Myth of Unsupervised Outlier Detection

Learning to leverage salient regions in neuro-oncology using Deep Learning


Technical Note: Flow velocity and discharge measurement in rivers using terrestrial and unmanned-aerial-vehicle imagery

A comparison of tools and techniques for stabilising unmanned aerial system (UAS) imagery for surface flow observations

A comparison of tools and techniques for stabilising UAS imagery for surface flow observations


DefectChecker: Automated Smart Contract Defect Detection by Analyzing EVM Bytecode

IEEE Transactions on Software Engineering

Empirical Review of Smart Contract and DeFi Security: Vulnerability Detection and Automated Repair


A simple tool for extracting reads from Oxford Nanopore fast5 files

Completing bacterial genome assemblies with multiplex MinION sequencing

NanoAmpli-Seq: a workflow for amplicon sequencing for mixed microbial communities on the nanopore sequencing platform

Rapid Diagnosis of Lower Respiratory Infection using Nanopore-based Clinical Metagenomics

Exploration of antibiotic resistance risks in a veterinary teaching hospital with Oxford Nanopore long read sequencing

Genomic characterisation of an entomopathogenic strain of Serratia ureilytica in the critically endangered phasmid Dryococelus australis


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

Curiosity-driven Exploration by Self-supervised Prediction

Exploration by Random Network Distillation

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

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


A Bert2Bert model which able to summarize articles!

Leveraging Pre-trained Checkpoints for Sequence Generation Tasks

ARMAN: Pre-training with Semantically Selecting and Reordering of Sentences for Persian Abstractive Summarization


Suite of tools for analysing off-target reads to find CNVs, homozygous regions, and shared haplotypes

YIPF5 mutations cause neonatal diabetes and microcephaly through endoplasmic reticulum stress

Loss of MANF Causes Childhood Onset Syndromic Diabetes due to Increased Endoplasmic Reticulum Stress

SavvyCNV: Genome-wide CNV calling from off-target reads

Non-coding variants disrupting a tissue-specific regulatory element in HK1 cause congenital hyperinsulinism

Infancy‐onset diabetes caused by de‐regulated AMPylation of the human endoplasmic reticulum chaperone BiP

Biallelic Variants in MNS1 Are Associated with Laterality Defects and Respiratory Involvement