Multi-CCD data-driven PSF modelling

Multi-CCD modelling of the point spread function

HAL (Le Centre pour la Communication Scientifique Directe)

Rethinking data-driven point spread function modeling with a differentiable optical model

Point spread function modelling for astronomical telescopes: a review focused on weak gravitational lensing studies

Frontiers in Astronomy and Space Sciences


Empowering Molecule Discovery for Molecule-Caption Translation with Large Language Models: A ChatGPT Perspective

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

Bioinformatics and biomedical informatics with ChatGPT: Year one review

Large Language Models are In-Context Molecule Learners


ToolBench, an evaluation suite for LLM tool manipulation capabilities.

A Survey on Evaluation of Large Language Models

On the Tool Manipulation Capability of Open-source Large Language Models

ToolChain*: Efficient Action Space Navigation in Large Language Models with A* Search


A PyTorch implementation of "Graph Classification Using Structural Attention" (KDD 2018).

Deep Learning on Graphs: A Survey

Graph Classification using Structural Attention

State of the Art and Potentialities of Graph-level Learning

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


Official code of our work, PolicyQA: A Reading Comprehension Dataset for Privacy Policies [Findings of EMNLP 2020].

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

Cheap and Good? Simple and Effective Data Augmentation for Low Resource Machine Reading

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

Mitigating Data Scarcity for Large Language Models


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

TALL: Temporal Activity Localization via Language Query

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

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

Query-Dependent Video Representation for Moment Retrieval and Highlight Detection


Lee-Huang-Yang effects in the ultracold mixture of 23Na and 87Rb with attractive interspecies interactions

Observation of Efimov Universality across a Nonuniversal Feshbach Resonance in ^{39}K.

Preparation of one 87Rb and one 133Cs atom in a single optical tweezer

Magnetic Feshbach resonances in ultracold collisions between Cs and Yb atoms

Characterizing quasibound states and scattering resonances

An association sequence suitable for producing ground-state RbCs molecules in optical lattices

Feshbach spectroscopy of Cs atom pairs in optical tweezers

Interaction Potential for NaCs for Ultracold Scattering and Spectroscopy

Feshbach resonances in an ultracold
Li7−133Cs
 Bose-Bose mixture

User Manual for MOLSCAT, BOUND and FIELD, Version 2020.0: programs for quantum scattering properties and bound states of interacting pairs of atoms and molecules


Machine translation (MT) benchmark dataset for languages in the Horn of Africa.

Building Machine Translation Systems for the Next Thousand Languages

Glot500: Scaling Multilingual Corpora and Language Models to 500 Languages

The Effect of Normalization for Bi-directional Amharic-English Neural Machine Translation

HaVQA: A Dataset for Visual Question Answering and Multimodal Research in Hausa Language

EthioLLM: Multilingual Large Language Models for Ethiopian Languages
  with Task Evaluation

GunadarmaXBRIN at SemEval-2023 Task 12: Utilization of SVM and AfriBERTa for Monolingual, Multilingual, and Zero-shot Sentiment Analysis in African Languages

Proceedings of the The 17th International Workshop on Semantic Evaluation (SemEval-2023)


Data derived from the Linked Births and Deaths Data (LBIDD); simulated pairs of treatment assignment and outcomes; scoring code

A Survey on Causal Inference

Benchmarking Framework for Performance-Evaluation of Causal Inference Analysis

How to select predictive models for causal inference?

Causal Effect Estimation using Variational Information Bottleneck


[EMNLP 2020] What is More Likely to Happen Next? Video-and-Language Future Event Prediction

Language Models with Image Descriptors are Strong Few-Shot Video-Language Learners

Visual Abductive Reasoning

Modeling Events and Interactions through Temporal Processes -- A Survey


A Fast and Accurate Vietnamese Word Segmenter (LREC 2018)

From Word Segmentation to POS Tagging for Vietnamese

A Feature-Rich Vietnamese Named-Entity Recognition Model

Vietnamese Word Segmentation with SVM: Ambiguity Reduction and Suffix Capture


An agile life cycle assessment (LCA) platform that simultaneously characterize the economic and environmental impacts of biofuels and bioproducts under uncertainty.


The official implementation of our ICLR2024 paper "AutoDAN: Generating Stealthy Jailbreak Prompts on Aligned Large Language Models".

Defending Large Language Models against Jailbreak Attacks via Semantic
  Smoothing

Gradient Cuff: Detecting Jailbreak Attacks on Large Language Models by
  Exploring Refusal Loss Landscapes

Defensive Prompt Patch: A Robust and Interpretable Defense of LLMs
  against Jailbreak Attacks

Enhancing the Capability and Robustness of Large Language Models through
  Reinforcement Learning-Driven Query Refinement


Cross-disease comparison of case-control gut microbiome studies

Applications of Machine Learning in Human Microbiome Studies: A Review on Feature Selection, Biomarker Identification, Disease Prediction and Treatment

A Review and Tutorial of Machine Learning Methods for Microbiome Host Trait Prediction

Meta analysis of microbiome studies identifies shared and disease-specific patterns

Microbiomehd: The Human Gut Microbiome In Health And Disease

Zenodo (CERN European Organization for Nuclear Research)


SemEval-2019 Task 5: Multilingual Detection of Hate Speech Against Immigrants and Women in Twitter

North American Chapter of the Association for Computational Linguistics

Deep Learning Models for Multilingual Hate Speech Detection

Exposing the limits of Zero-shot Cross-lingual Hate Speech Detection

Meeting of the Association for Computational Linguistics

Selecting and combining complementary feature representations and classifiers for hate speech detection

Highly Generalizable Models for Multilingual Hate Speech Detection

Multilingual Auxiliary Tasks Training: Bridging the Gap between Languages for Zero-Shot Transfer of Hate Speech Detection Models

Improving Automatic Hate Speech Detection with Multiword Expression Features

HURI: Hybrid user risk identification in social networks

Automated Identification of Sexual Orientation and Gender Identity Discriminatory Texts from Issue Comments


[2021 훈민정음 한국어 음성•자연어 인공지능 경진대회] 대화요약 부문 알라꿍달라꿍 팀의 대화요약 학습 및 추론 코드를 공유하기 위한 레포입니다.

BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension

A Deep Reinforced Model for Abstractive Summarization

R-Drop: Regularized Dropout for Neural Networks

Better Fine-Tuning by Reducing Representational Collapse


Transformer based translation quality estimation

TransQuest: Translation Quality Estimation with Cross-lingual Transformers

TransQuest at WMT2020: Sentence-Level Direct Assessment

An Exploratory Analysis of Multilingual Word-Level Quality Estimation with Cross-Lingual Transformers

Towards Fine-Grained Information: Identifying the Type and Location of Translation Errors

"A Little is Enough": Few-Shot Quality Estimation based Corpus Filtering improves Machine Translation

Syntactic Knowledge via Graph Attention with BERT in Machine Translation


:art: Winning solution for the Painter by Numbers competition on Kaggle.

Style-Aware Normalized Loss for Improving Arbitrary Style Transfer

AIRD: Adversarial Learning Framework for Image Repurposing Detection

User-Controllable Arbitrary Style Transfer via Entropy Regularization

THIRTY-SEVENTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, VOL 37 NO 1

MEG: Multi-Evidence GNN for Multimodal Semantic Forensics

Vegetation Mapping by UAV Visible Imagery and Machine Learning


iDeep: integrated prediction of RNA-protein binding sites using deep learning

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

RNA-protein binding motifs mining with a new hybrid deep learning based cross-domain knowledge integration approach

Assessing deep learning methods in cis-regulatory motif finding based on genomic sequencing data


A dataset containing human-human knowledge-grounded open-domain conversations.

Topical-Chat: Towards Knowledge-Grounded Open-Domain Conversations

Zero-Resource Knowledge-Grounded Dialogue Generation

Policy-Driven Neural Response Generation for Knowledge-Grounded Dialogue Systems

Policy-Driven Neural Response Generation for Knowledge-Grounded Dialog Systems

Proceedings of the 13th International Conference on Natural Language Generation

Are Neural Open-Domain Dialog Systems Robust to Speech Recognition Errors in the Dialog History? An Empirical Study

CoCoA-MT: A Dataset and Benchmark for Contrastive Controlled MT with Application to Formality

Position Matters! Empirical Study of Order Effect in Knowledge-grounded Dialogue

HD-Eval: Aligning Large Language Model Evaluators Through Hierarchical Criteria Decomposition


Functions to assess quality of spike sorting results

Does Impedance Matter When Recording Spikes With Polytrodes?

Recording site placement on planar silicon-based probes affects signal quality in acute neuronal recordings

Parvalbumin neurons enhance temporal coding and reduce cortical noise in complex auditory scenes


Measure the readability of a given text using surface characteristics

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

Leveraging Large Language Models for Learning Complex Legal Concepts
  through Storytelling

MementoEmbed and Raintale for Web Archive Storytelling

ICLE++: Modeling Fine-Grained Traits for Holistic Essay Scoring

UPB at IberLEF-2023 AuTexTification: Detection of Machine-Generated Text using Transformer Ensembles

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

International Workshop on Semantic Evaluation


Simple (but often Strong) Baselines for POMDPs in PyTorch, ICML 2022

VariBAD: A Very Good Method for Bayes-Adaptive Deep RL via Meta-Learning

Recurrent Model-Free RL Can Be a Strong Baseline for Many POMDPs

When Do Transformers Shine in RL? Decoupling Memory from Credit Assignment

Recurrent Model-Free RL is a Strong Baseline for Many POMDPs

Distributionally Adaptive Meta Reinforcement Learning

Rethinking Transformers in Solving POMDPs


PyTorch implementation of Soft Actor-Critic(SAC).

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

Prioritized Experience Replay

Soft Actor-Critic Algorithms and Applications

Dropout Q-Functions for Doubly Efficient Reinforcement Learning

Boosting Continuous Control with Consistency Policy


Multimodal Sarcasm Detection Dataset

Towards Multimodal Sarcasm Detection (An _Obviously_ Perfect Paper)

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

MultiBench: Multiscale Benchmarks for Multimodal Representation Learning

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

IEEE Transactions on Affective Computing


The Codebase for Causal Distillation for Language Models (NAACL '22)

DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter

Inducing Causal Structure for Interpretable Neural Networks

ReaSCAN: Compositional Reasoning in Language Grounding

Causal Distillation for Language Models


A collection of matlab functions for experimenting with different point sets on the sphere

Mesh-free semi-Lagrangian methods for transport on a sphere using radial basis functions

RBF-LOI: Augmenting Radial Basis Functions (RBFs) with Least Orthogonal Interpolation (LOI) for solving PDEs on surfaces

A Partition of Unity Method for Divergence-Free or Curl-Free Radial Basis Function Approximation

A Comparison of Popular Point Configurations on ��^2

A stable algorithm for divergence-free radial basis functions in the flat limit

Tuning Frequency Bias in Neural Network Training with Nonuniform Data

A Divergence-free and Curl-free Radial Basis Function Partition of Unity Method.


This repository provides cytogenetics related datasets to investigate the semantic segmentation

A Geometric Approach For Fully Automatic Chromosome Segmentation

Image Segmentation to Distinguish Between Overlapping Human Chromosomes

Adversarial Multiscale Feature Learning Framework for Overlapping Chromosome Segmentation

Adversarial Multiscale Feature Learning for Overlapping Chromosome Segmentation

Using Orientation to Distinguish Overlapping Chromosomes


Official repository of "Can Language Models Solve Graph Problems in Natural Language?". NeurIPS 2023 (Spotlight)

Knowledge Card: Filling LLMs' Knowledge Gaps with Plug-in Specialized Language Models

A Survey of Large Language Models on Generative Graph Analytics: Query, Learning, and Applications


R package to Run JAGS (Just Another Gibbs Sampler) analyses from within R

Three-dimensional partitioning of resources by congeneric forest predators with recent sympatry

Food from faeces: Evaluating the efficacy of scat DNA metabarcoding in dietary analyses

A new mark-recapture approach for abundance estimation of social species

Do the antipredator strategies of shared prey mediate intraguild predation and mesopredator suppression?

Forest cover mediates large and medium-sized mammal occurrence in a critical link of the Mesoamerican Biological Corridor

The effect of climate on population growth in a cold‐adapted ungulate at its equatorial range limit

Detecting spatial ontogenetic niche shifts in complex dendritic ecological networks

Integrated population modelling reveals potential drivers of demography from partially aligned data: a case study of snowy plover declines under human stressors

Validation of a noninvasive technique to quantify stress in northern bobwhite (Colinus virginianus)


Knowledge distillation from Ensembles of Iterative pruning (BMVC 2020)

Learning both Weights and Connections for Efficient Neural Networks

Pruning Filters for Efficient ConvNets

Paying more attention to snapshots of Iterative Pruning: Improving Model Compression via Ensemble Distillation


[EMNLP 2022] Summarization as Indirect Supervision for Relation Extraction (SuRE)

Aligning Instruction Tasks Unlocks Large Language Models as Zero-Shot Relation Extractors


RSS: Regression with Summary Statistics

Improved polygenic prediction by Bayesian multiple regression on summary statistics

Bayesian large-scale multiple regression with summary statistics from genome-wide association studies

Large-scale genome-wide enrichment analyses identify new trait-associated genes and pathways across 31 human phenotypes

Modeling regulatory network topology improves genome-wide analyses of complex human traits

Enrichment analyses identify shared associations for 25 quantitative traits in over 600,000 individuals from seven diverse ancestries

A large-scale genome-wide enrichment analysis identifies new trait-associated genes, pathways and tissues across 31 human phenotypes*


Polygenic prediction via continuous shrinkage priors

Genome-wide meta-analysis of problematic alcohol use in 435,563 individuals yields insights into biology and relationships with other traits

Genome-wide association analysis of 19,629 individuals identifies variants influencing regional brain volumes and refines their genetic co-architecture with cognitive and mental health traits

Leveraging fine-mapping and multipopulation training data to improve cross-population polygenic risk scores

Global Biobank analyses provide lessons for developing polygenic risk scores across diverse cohorts

Stability of polygenic scores across discovery genome-wide association studies

Integration of questionnaire-based risk factors improves polygenic risk scores for human coronary heart disease and type 2 diabetes

Multivariate genetic analysis of personality and cognitive traits reveals abundant pleiotropy

Polygenic prediction across populations is influenced by ancestry, genetic architecture, and methodology

The genetic architecture of multimodal human brain age

bioRxiv : the preprint server for biology

Unbiased classification of the elderly human brain proteome resolves distinct clinical and pathophysiological subtypes of cognitive impairment


Hyperparameter optimization with approximate gradient

Implicit differentiation of Lasso-type models for hyperparameter optimization

SHINE: SHaring the INverse Estimate from the forward pass for bi-level optimization and implicit models

Optimizing Large-Scale Hyperparameters via Automated Learning Algorithm

Bilevel Optimization for Machine Learning: Algorithm Design and Convergence Analysis


한글 자모 분리/조합 작업을 위한 툴킷

Investigating an Effective Character-level Embedding in Korean Sentence Classification

Zero-shot North Korean to English Neural Machine Translation by Character Tokenization and Phoneme Decomposition

KoSpeech: Open-Source Toolkit for End-to-End Korean Speech Recognition

Towards an Efficient Code-Mixed Grapheme-to-Phoneme Conversion in an Agglutinative Language: A Case Study on To-Korean Transliteration

Workshop on Computational Approaches to Code Switching


A Framework for Textual Entailment based Zero Shot text classification

Label Verbalization and Entailment for Effective Zero and Few-Shot Relation Extraction

Aligning Instruction Tasks Unlocks Large Language Models as Zero-Shot Relation Extractors

Summarization as Indirect Supervision for Relation Extraction

Textual Entailment for Event Argument Extraction: Zero- and Few-Shot with Multi-Source Learning

Ask2Transformers: Zero-Shot Domain labelling with Pre-trained Language Models

Generative Prompt Tuning for Relation Classification

ZS4IE: A toolkit for Zero-Shot Information Extraction with simple Verbalizations


[CVPR 2023 Highlight] Video-Text as Game Players: Hierarchical Banzhaf Interaction for Cross-Modal Representation Learning

Expectation-Maximization Contrastive Learning for Compact Video-and-Language Representations

DiffusionRet: Generative Text-Video Retrieval with Diffusion Model

Text-Video Retrieval with Disentangled Conceptualization and Set-to-Set Alignment


Towards Supporting Intelligence in 5G/6G Core Networks: NWDAF Implementation and Initial Analysis

An NWDAF Approach to 5G Core Network Signaling Traffic: Analysis and Characterization

A Modular, End-to-End Next-Generation Network Testbed: Towards a Fully
  Automated Network Management Platform


CoFloCo is a static analysis tool written in prolog to infer automatically symbolic complexity bounds of imperative and recursive programs.

Complexity and Resource Bound Analysis of Imperative Programs Using Difference Constraints

Difference Constraints: An adequate Abstraction for Complexity Analysis of Imperative Programs


Dialogue Chain-of-Thought Distillation for Commonsense-aware Conversational Agents

ComFact: A Benchmark for Linking Contextual Commonsense Knowledge

Can Large Language Models be Good Emotional Supporter? Mitigating Preference Bias on Emotional Support Conversation


Code for "On Feature Collapse and Deep Kernel Learning for Single Forward Pass Uncertainty".

Simple and Principled Uncertainty Estimation with Deterministic Deep Learning via Distance Awareness

On the Practicality of Deterministic Epistemic Uncertainty

Training, Architecture, and Prior for Deterministic Uncertainty Methods

Beyond AUROC & co. for evaluating out-of-distribution detection performance


[TIP'21] Learning Deep Global Multi-scale and Local Attention Features for Facial Expression Recognition in the Wild

MA-Net: A Multi-Scale Attention Network for Liver and Tumor Segmentation

Learning Deep Global Multi-Scale and Local Attention Features for Facial Expression Recognition in the Wild

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

GCNet: Graph Completion Network for Incomplete Multimodal Learning in Conversation


Generates initial conditions for a spiral galaxy simulation in a format that can be read in GADGET2 or RAMSES, or alternatively in the HDF5 format.

The fate of the gaseous discs of galaxies that fall into clusters

Monthly Notices of the Royal Astronomical Society

Dynamic localized turbulent diffusion and its impact on the galactic ecosystem

Monthly notices of the Royal Astronomical Society

Galaxy Evolution in Clusters


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

Passport-aware Normalization for Deep Model Protection

Deep Intellectual Property Protection: A Survey


A toolbox for working with genome trees.

Recovery of nearly 8,000 metagenome-assembled genomes substantially expands the tree of life

Methylotrophic methanogenesis discovered in the archaeal phylum Verstraetearchaeota

Eukaryotic genomes from a global metagenomic data set illuminate trophic modes and biogeography of ocean plankton

Pangenomics reveals alternative environmental lifestyles among chlamydiae

910 metagenome-assembled genomes from the phytobiomes of three urban-farmed leafy Asian greens

Metagenome-Assembled Genomes From Pyropia haitanensis Microbiome Provide Insights Into the Potential Metabolic Functions to the Seaweed

Single cell genome sequencing of laboratory mouse microbiota improves taxonomic and functional resolution of this model microbial community

Genome-resolved carbon processing potential of tropical peat microbiomes from an oil palm plantation

Transmission of the gut microbiome in cohousing goats and pigs

Dataset of 130 metagenome-assembled genomes of healthy and diseased broiler chicken caeca from Pakistan


Phylogenetic Analysis of Long Terminal Repeat Retrotransposons

MAFFT Multiple Sequence Alignment Software Version 7: Improvements in Performance and Usability

BEDTools: a flexible suite of utilities for comparing genomic features

jModelTest 2: more models, new heuristics and parallel computing.

The Pfam protein families database: towards a more sustainable future

Repbase Update, a database of repetitive elements in eukaryotic genomes

ETE 3: Reconstruction, Analysis, and Visualization of Phylogenomic Data

The Dfam database of repetitive DNA families

GenomeTools: A Comprehensive Software Library for Efficient Processing of Structured Genome Annotations

IEEE/ACM transactions on computational biology and bioinformatics

The Gypsy Database (GyDB) of mobile genetic elements: release 2.0

LTR Retrotransposons Show Low Levels of Unequal Recombination and High Rates of Intraelement Gene Conversion in Large Plant Genomes


Large-eddy simulation code written in CUDA Fortran for simulating atmospheric boundary layer flows


Keras implementation of GradCAM.

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

International Journal of Computer Vision

Striving for Simplicity: The All Convolutional Net

Presentation Attack Detection for Cadaver Iris


a tracker based on reliable patches

An Experimental Survey on Correlation Filter-based Tracking

A Comprehensive Performance Evaluation of Deformable Face Tracking "In-the-Wild"

International journal of computer vision

Handcrafted and Deep Trackers: Recent Visual Object Tracking Approaches and Trends


Unsupervised Neural Machine Translation from West African Pidgin (Creole) to English without a single parallel sentence

Unsupervised Machine Translation Using Monolingual Corpora Only

Phrase-Based & Neural Unsupervised Machine Translation

Loss in Translation: Learning Bilingual Word Mapping with a Retrieval Criterion

PidginUNMT: Unsupervised Neural Machine Translation from West African Pidgin to English

Cheetah: Natural Language Generation for 517 African Languages


Source code of "Reasons to Reject? Aligning Language Models with Judgments"

LoRA: Low-Rank Adaptation of Large Language Models

Platypus: Quick, Cheap, and Powerful Refinement of LLMs


A set of real-world multi-objective optimization problems

An easy-to-use real-world multi-objective optimization problem suite

Identifying Properties of Real-World Optimisation Problems through a Questionnaire

Dealing with Structure Constraints in Evolutionary Pareto Set Learning


Source code to simulate WTF-PAD on a set of web traffic traces.

Measuring Information Leakage in Website Fingerprinting Attacks and Defenses

Bayes, not Naïve: Security Bounds on Website Fingerprinting Defenses

Proceedings on Privacy Enhancing Technologies

Evading classifiers in discrete domains with provable optimality guarantees

A Method for Identifying Tor Users Visiting Websites Based on Frequency Domain Fingerprinting of Network Traffic

DeTorrent: An Adversarial Padding-only Traffic Analysis Defense


1D synchrosqueezed wave packet transforms (SSWPT):    Analyzing instantaneous properties (instantaneous frequencies, phases and amplitudes) of non-linear oscillatory signals in a superposition. 2D synchrosqueezed curvelet transform (SSCT):     Anlayzing local properties of non-linear oscillatory textures in a superposition.

Robustness Analysis of Synchrosqueezed Transforms

Recursive Diffeomorphism-Based Regression for Shape Functions

Multiresolution mode decomposition for adaptive time series analysis

A Fast Algorithm for Multiresolution Mode Decomposition


Calculation of the Percentage of Conserved Proteins following Qin, Xie et al. 2014 but using DIAMOND instead of BLASTP for alignments.

Transfer of Erwinia toletana and Erwinia iniecta to a novel genus Winslowiella gen. nov. as Winslowiella toletana comb. nov. and Winslowiella iniecta comb. nov. and description of Winslowiella arboricola sp. nov., isolated from bleeding cankers on broadleaf hosts

Dynamic Development of Viral and Bacterial Diversity during Grass Silage Preservation

POCP-nf: an automatic Nextflow pipeline for calculating the percentage of conserved proteins in bacterial taxonomy

Miniphocaeibacter halophilus sp. nov., an ammonium-tolerant acetate-producing bacterium isolated from a biogas system

International journal of systematic and evolutionary microbiology

Paraphocaeicola brunensis gen. nov., sp. nov., Carrying Two Variants of nimB Resistance Gene from Bacteroides fragilis, and Caecibacteroides pullorum gen. nov., sp. nov., Two Novel Genera Isolated from Chicken Caeca


An instruction set simulator based on DBT-RISE implementing the RISC-V ISA

Advanced virtual prototyping for cyber-physical systems using RISC-V: implementation, verification and challenges


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

On Calibration of Modern Neural Networks

Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles

Weight Uncertainty in Neural Networks

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


Official TensorFlow implementation for "Supervised Domain Adaptation: A Graph Embedding Perspective and a Rectified Experimental Protocol" [TIP 2021] and "Supervised Domain Adaptation using Graph Embedding" [ICPR 2020]

DANE: Domain Adaptive Network Embedding


Code for "NODE-GAM: Neural Generalized Additive Model for Interpretable Deep Learning"

How Interpretable and Trustworthy are GAMs?

Interpretability with full complexity by constraining feature information


A Library For Dense Retrieval Oriented Vector Quantization

Distill-VQ: Learning Retrieval Oriented Vector Quantization By Distilling Knowledge from Dense Embeddings

Matching-oriented Embedding Quantization For Ad-hoc Retrieval

Progressively Optimized Bi-Granular Document Representation for Scalable Embedding Based Retrieval

LibVQ: A Toolkit for Optimizing Vector Quantization and Efficient Neural Retrieval

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


ROSE: RANK ORDERING OF SUPER-ENHANCERS

Multiscale 3D genome reorganization during skeletal muscle stem cell lineage progression and aging

LncRNA Platr22 promotes super-enhancer activity and stem cell pluripotency

Aberrant non-canonical NF-κB signalling reprograms the epigenome landscape to drive oncogenic transcriptomes in multiple myeloma

SEGCOND predicts putative transcriptional condensate-associated genomic regions by integrating multi-omics data


Fairness in Machine Learning: A Survey

Understanding artificial intelligence ethics and safety

Trustworthy AI: A Computational Perspective


Tutorials on phylogenetic and phylogenomic inference

Drivers and dynamics of a massive adaptive radiation in cichlid fishes

Most Genomic Loci Misrepresent the Phylogeny of an Avian Radiation Because of Ancient Gene Flow

Selection-driven trait loss in independently evolved cavefish populations

Hybridization underlies localized trait evolution in cavefish

Hybridization dynamics and extensive introgression in the Daphnia longispina species complex: new insights from a high-quality Daphnia galeata reference genome

Ocean current patterns drive the worldwide colonization of eelgrass (Zostera marina)

Genomic evidence for recurrent genetic admixture during domestication mediterranean olive trees (Olea europaea).

Parallel evolution in an island archipelago revealed by genomic sequencing of Hipposideros leaf-nosed bats

Evolution; international journal of organic evolution


Face Liveness Detection (Face Anti Spoofing) Server SDK

Deep Pixel-wise Binary Supervision for Face Presentation Attack Detection

Learning One Class Representations for Face Presentation Attack Detection using Multi-channel Convolutional Neural Networks

Improving Face Anti-Spoofing by 3D Virtual Synthesis

Multi-domain Learning for Updating Face Anti-spoofing Models

FLIP: Cross-domain Face Anti-spoofing with Language Guidance

Bi-FPNFAS: Bi-Directional Feature Pyramid Network for Pixel-Wise Face Anti-Spoofing by Leveraging Fourier Spectra

S-Adapter: Generalizing Vision Transformer for Face Anti-Spoofing with Statistical Tokens

SHIELD : An Evaluation Benchmark for Face Spoofing and Forgery Detection
  with Multimodal Large Language Models

A Personalized Benchmark for Face Anti-spoofing

2022 IEEE/CVF Winter Conference on Applications of Computer Vision Workshops (WACVW)

Deep Ensemble Learning with Frame Skipping for Face Anti-Spoofing


Unofficial Pytorch Implementation of WaveGrad2

Denoising Diffusion Probabilistic Models

WaveGrad: Estimating Gradients for Waveform Generation

Non-Attentive Tacotron: Robust and Controllable Neural TTS Synthesis Including Unsupervised Duration Modeling

WaveGrad 2: Iterative Refinement for Text-to-Speech Synthesis

DiffAR: Denoising Diffusion Autoregressive Model for Raw Speech Waveform Generation

Reinforcement Learning for Fine-tuning Text-to-speech Diffusion Models


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

Accounting for Unobserved Confounding in Domain Generalization

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

Dynamic Graph Information Bottleneck


E2E system with LF-MMI; word N-gram for Mandarin

LAE: Language-Aware Encoder for Monolingual and Multilingual ASR

Consistent Training and Decoding for End-to-End Speech Recognition Using Lattice-Free MMI

Improving Mandarin End-to-End Speech Recognition With Word N-Gram Language Model

Integrating Lattice-Free MMI Into End-to-End Speech Recognition

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

Automatic Prosody Annotation with Pre-Trained Text-Speech Model


Code for KDD'20 "An Efficient Neighborhood-based Interaction Model for Recommendation on Heterogeneous Graph"

GraphHINGE: Learning Interaction Models of Structured Neighborhood on Heterogeneous Information Network


Calculates the Word Error Rate between two text files

Dialect Text Normalization to Normative Standard Finnish

Empirical Methods in Natural Language Processing

Dialect-to-Standard Normalization: A Large-Scale Multilingual Evaluation

Findings of the Association for Computational Linguistics: EMNLP 2023

Murreviikko - A Dialectologically Annotated and Normalized Dataset of Finnish Tweets

Workshop on NLP for Similar Languages, Varieties and Dialects

Help from the Neighbors: Estonian Dialect Normalization Using a Finnish Dialect Generator

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

Dialect Representation Learning with Neural Dialect-to-Standard Normalization

Automated Prediction of Medieval Arabic Diacritics


A Very Low Resource Language Speech Corpus for Computational Language Documentation Experiments

Linguistic unit discovery from multi-modal inputs in unwritten languages: Summary of the "Speaking Rosetta" JSALT 2017 Workshop

Bayesian Models for Unit Discovery on a Very Low Resource Language

Enabling Interactive Transcription in an Indigenous Community


SciRepEval benchmark training and evaluation scripts

The Semantic Scholar Open Data Platform

SciRepEval: A Multi-Format Benchmark for Scientific Document Representations

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


A tool for text normalisation via character-level machine translation

A Large-Scale Comparison of Historical Text Normalization Systems

North American Chapter of the Association for Computational Linguistics

Adapting a State-of-the-Art Tagger for South Slavic Languages to Non-Standard Text

Proceedings of the 6th Workshop on Balto-Slavic Natural Language Processing

A corpus-based study of 16th-century Slovene clitics and clitic-like elements


Probabilistic Association of Transients to their Hosts (PATH)

A Measurement of Circumgalactic Gas around Nearby Galaxies Using Fast Radio Bursts

A Fast Radio Burst in a Compact Galaxy Group at z ∼ 1


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

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

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

Algorithm for Optimized mRNA Design Improves Stability and Immunogenicity

Theoretical basis for stabilizing messenger RNA through secondary structure design

bioRxiv : the preprint server for biology

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


Collection of Evaluation Metrics and Algorithms for Machine Translation

Improving Low-Resource Neural Machine Translation with Filtered Pseudo-Parallel Corpus

VizSeq: A Visual Analysis Toolkit for Text Generation Tasks

Detecting Untranslated Content for Neural Machine Translation

Meeting of the Association for Computational Linguistics

Pseudotext Injection and Advance Filtering of Low-Resource Corpus for Neural Machine Translation

Computational intelligence and neuroscience

Selecting Informative Context Sentence by Forced Back-Translation

Does NMT make a difference when post-editing closely related languages? The case of Spanish-Catalan

L'architecture d'un modèle hybride pour la normalisation de SMS (A hybrid model architecture for SMS normalization)


An integer linear program solver using a Lagrange decomposition into binary decision diagrams. Lagrange multipliers are updated through dual block coordinate ascent.

Efficient Message Passing for 0-1 ILPs with Binary Decision Diagrams

FastDOG: Fast Discrete Optimization on GPU

DOGE-Train: Discrete Optimization on GPU with End-to-end Training

Fast Discrete Optimisation for Geometrically Consistent 3D Shape Matching


Codes to generate limb-darkening coefficients using arbitrary response functions as explained in Espinoza & Jordan (2015)

Limb darkening and exoplanets: testing stellar model atmospheres and identifying biases in transit parameters

Monthly Notices of the Royal Astronomical Society

Limb darkening and exoplanets – II. Choosing the best law for optimal retrieval of transit parameters

Planetary system LHS 1140 revisited with ESPRESSO and TESS

Near-ultraviolet Transmission Spectroscopy of HD 209458b: Evidence of Ionized Iron Beyond the Planetary Roche Lobe

Empirical Limb-darkening Coefficients and Transit Parameters of Known Exoplanets from TESS

An Independent Analysis of the Spitzer/IRAC Phase Curves of WASP43 b

A detailed analysis of the Gl 486 planetary system

An enhanced slope in the transmission spectrum of the hot Jupiter WASP-104b

TOI-199 b: A Well-characterized 100 day Transiting Warm Giant Planet with TTVs Seen from Antarctica

Exploiting the transit timing capabilities of Ariel


Fluency-related Temporal Features and Syllable Prominence as Prosodic Proficiency Predictors for Learners of English with Different Language Backgrounds

BERT, can HE predict contrastive focus? Predicting and controlling prominence in neural TTS using a language model

Speech prosody enhances the neural processing of syntax


RascalC: A Fast Code for Galaxy Covariance Matrix Estimation

RascalC: A Jackknife Approach to Estimating Single and Multi-Tracer
  Galaxy Covariance Matrices

First detection of the BAO signal from early DESI data

DESI 2024 III: Baryon Acoustic Oscillations from Galaxies and Quasars

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

HOD-Dependent Systematics for Luminous Red Galaxies in the DESI 2024 BAO Analysis

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

Validating the Galaxy and Quasar Catalog-Level Blinding Scheme for the
  DESI 2024 analysis

ELG Spectroscopic Systematics Analysis of the DESI Data Release 1


L-BFGS-B, converted from Fortran to C, with Matlab wrapper

Generalized Canonical Polyadic Tensor Decomposition

Learning the Sampling Pattern for MRI

Sketching for Large-Scale Learning of Mixture Models

DTF: Deep Tensor Factorization for Predicting Anticancer Drug Synergy

Data-driven regularization of Wasserstein barycenters with an application to multivariate density registration

Data Assimilation Methods for Neuronal State and Parameter Estimation

The Journal of Mathematical Neuroscience

A Flexible Optimization Framework for Regularized Matrix-Tensor Factorizations With Linear Couplings

IEEE Journal on Selected Topics in Signal Processing

Real-Time Non-Rigid 3D Respiratory Motion Estimation for MR-Guided Radiotherapy Using MR-MOTUS

Estimating Higher-Order Moments Using Symmetric Tensor Decomposition

SIAM Journal on Matrix Analysis and Applications

Riemannian preconditioned algorithms for tensor completion via tensor ring decomposition


A uniform interface to astronomical selection functions of the major surveys.

Completeness of the Gaia verse II: what are the odds that a star is missing from Gaia DR2?

A Gaia Early DR3 Mock Stellar Catalog: Galactic Prior and Selection Function

Publications of the Astronomical Society of the Pacific

Completeness of the Gaia-verse V: Astrometry and Radial Velocity sample selection functions in Gaia EDR3

Comparing hypervelocity star populations from the Large Magellanic Cloud and the Milky Way

seestar: Selection functions for spectroscopic surveys of the Milky Way

Constraints on the Galactic Centre environment from Gaia hypervelocity stars II: The evolved population


R Package to Optimize Windfarm Layouts


Two-temperature General Relativistic Radiation Magnetohydrodynamics

Pair Drizzle around Sub-Eddington Supermassive Black Holes

Radiation GRMHD Simulations of the Hard State of Black Hole X-Ray Binaries and the Collapse of a Hot Accretion Flow

Radiation GRMHD simulations of M87: funnel properties and prospects for gap acceleration

Monthly notices of the Royal Astronomical Society


A curated list of research papers and resources on code-switching

Do Multilingual Users Prefer Chat-bots that Code-mix? Let's Nudge and Find Out!

Proceedings of the ACM on Human-Computer Interaction

The Decades Progress on Code-Switching Research in NLP: A Systematic Survey on Trends and Challenges

Training Data Augmentation for Code-Mixed Translation

Towards Translating Mixed-Code Comments from Social Media


Reachability types: tracking aliasing and separation in higher-order functional programs

Proceedings of the ACM on Programming Languages

Polymorphic Reachability Types: Tracking Freshness, Aliasing, and Separation in Higher-Order Generic Programs

Modeling Reachability Types with Logical Relations

Graph IRs for Impure Higher-Order Languages (Technical Report)


A repository containing the code for speech translation papers.

Diverse Beam Search: Decoding Diverse Solutions from Neural Sequence Models

CTC-based Compression for Direct Speech Translation

Under the Morphosyntactic Lens: A Multifaceted Evaluation of Gender Bias in Speech Translation

On Knowledge Distillation for Direct Speech Translation

Contextualized Translation of Automatically Segmented Speech

How to Split: the Effect of Word Segmentation on Gender Bias in Speech Translation

Between Flexibility and Consistency: Joint Generation of Captions and Subtitles


Deep relational learning through differentiable logic programming.

A Comprehensive Survey on Graph Neural Networks

IEEE transactions on neural networks and learning systems

Lifted Relational Neural Networks

Beyond graph neural networks with lifted relational neural networks

Learning Predictive Categories Using Lifted Relational Neural Networks

Lossless Compression of Structured Convolutional Models via Lifting

Stacked Structure Learning for Lifted Relational Neural Networks

Learning with Molecules beyond Graph Neural Networks


Iterated Kalman methodology for inverse problems

Efficient derivative-free Bayesian inference for large-scale inverse problems

Convergence Analysis of Probability Flow ODE for Score-based Generative
  Models

Bayesian Calibration for Large-Scale Fluid Structure Interaction Problems Under Embedded/Immersed Boundary Framework

Gradient Flows for Sampling: Mean-Field Models, Gaussian Approximations and Affine Invariance

Sampling via Gradient Flows in the Space of Probability Measures

Improve Unscented Kalman Inversion With Low-Rank Approximation and Reduced-Order Model

Unscented Kalman Inversion: Efficient Gaussian Approximation to the Posterior Distribution


Evaluation of Finnish generative models

FinGPT: Large Generative Models for a Small Language

Poro 34B and the Blessing of Multilinguality

Aurora-M: The First Open Source Multilingual Language Model Red-teamed
  according to the U.S. Executive Order


HiCMA: Hierarchical Computations on Manycore Architectures

Tile Low-Rank Approximation of Large-Scale Maximum Likelihood Estimation on Manycore Architectures

Hierarchical algorithms on hierarchical architectures

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

Solving Acoustic Boundary Integral Equations Using High Performance Tile Low-Rank LU Factorization

Efficiency assessment of approximated spatial predictions for large datasets


Framework for the reproducible classification of Alzheimer's disease using machine learning

Reproducible evaluation of classification methods in Alzheimer's disease: Framework and application to MRI and PET data

Clinica: an open source software platform for reproducible clinical neuroscience studies

Reproducible Evaluation of Diffusion MRI Features for Automatic Classification of Patients with Alzheimer’s Disease

Predicting progression to Alzheimer’s disease from clinical and imaging data: a reproducible study

HAL (Le Centre pour la Communication Scientifique Directe)


Open source library for combining TDA and Machine Learning

PersLay: A Neural Network Layer for Persistence Diagrams and New Graph Topological Signatures

On the Metric Distortion of Embedding Persistence Diagrams into separable Hilbert spaces

Persistence Codebooks for Topological Data Analysis


Point Spread Function reconstruction

Opening the Era of Quasar-host Studies at High Redshift with JWST

Detecting Low-Mass Perturbers in Cluster Lenses using Curved Arc Bases

Image Deconvolution and Point-spread Function Reconstruction with STARRED: A Wavelet-based Two-channel Method Optimized for Light-curve Extraction


Tensor Robust Principal Component Analysis with a New Tensor Nuclear Norm

Bayesian CP Factorization of Incomplete Tensors with Automatic Rank Determination

IEEE transactions on pattern analysis and machine intelligence

Tensor Ring Decomposition


A Python library to parse MediaWiki WikiText

MultiModalQA: Complex Question Answering over Text, Tables and Images

ReasonBERT: Pre-trained to Reason with Distant Supervision

Entity Extraction from Wikipedia List Pages

Information Extraction From Co-Occurring Similar Entities

The role of online attention in the supply of disinformation in Wikipedia

SPAGHETTI: Open-Domain Question Answering from Heterogeneous Data Sources with Retrieval and Semantic Parsing


The myth, the legend, the model... ExoCAM!

Persistence of flare-driven atmospheric chemistry on rocky habitable zone worlds

The Atmospheric Circulation and Climate of Terrestrial Planets Orbiting Sun-like and M Dwarf Stars over a Broad Range of Planetary Parameters

TRAPPIST-1 Habitable Atmosphere Intercomparison (THAI): motivations and protocol version 1.0

Clouds will Likely Prevent the Detection of Water Vapor in JWST Transmission Spectra of Terrestrial Exoplanets

Dim Prospects for Transmission Spectra of Ocean Earths around M Stars

The TRAPPIST-1 Habitable Atmosphere Intercomparison (THAI). III. Simulated Observables—the Return of the Spectrum

The TRAPPIST-1 Habitable Atmosphere Intercomparison (THAI). I. Dry Cases—The Fellowship of the GCMs

The First Habitable-zone Earth-sized Planet from TESS. III. Climate States and Characterization Prospects for TOI-700 d

Water Ice Cloud Variability and Multi-epoch Transmission Spectra of TRAPPIST-1e

Effects of Radius and Gravity on the Inner Edge of the Habitable Zone


Scripts to evaluate scoped meaning representations

Evaluating Scoped Meaning Representations

The First Shared Task on Discourse Representation Structure Parsing

Proceedings of the IWCS Shared Task on Semantic Parsing

Semantic Graph Parsing with Recurrent Neural Network DAG Grammars

Character-level Representations Improve DRS-based Semantic Parsing Even in the Age of BERT

DRS at MRP 2020: Dressing up Discourse Representation Structures as Graphs

SyGNS: A Systematic Generalization Testbed Based on Natural Language Semantics


Scattering.m — a MATLAB toolbox for wavelet scattering

Sleep Arousal Detection from Polysomnography using the Scattering Transform and Recurrent Neural Networks

Wavelet Scattering on the Pitch Spiral

Time-Frequency Scattering Accurately Models Auditory Similarities Between Instrumental Playing Techniques

Differentiable Time-Frequency Scattering on GPU

On Time-frequency Scattering and Computer Music

The Shape of RemiXXXes to Come: Audio Texture Synthesis with Time-frequency Scattering


Transient focused reduction for TESS data

Progenitor and Close-In Circumstellar Medium of Type II Supernova 2020fqv from High-Cadence Photometry and Ultra-Rapid UV Spectroscopy

SN 2021zny: an early flux excess combined with late-time oxygen emission suggests a double white dwarf merger event

TESSreduce: transient focused TESS data reduction pipeline

The enigmatic double-peaked stripped-envelope SN 2023aew


A software tool for personalized and allele-specific CRISPR editing.

SNP-CRISPR: A Web Tool for SNP-Specific Genome Editing

AlleleAnalyzer: a tool for personalized and allele-specific sgRNA design

Hematopoietic Stem and Progenitor Cells (HSPCs) and Hematopoietic Microenvironment: Molecular and Bioinformatic Studies of the Zebrafish Models

International journal of molecular sciences


HuatuoGPT, Towards Taming Language Models To Be a Doctor. (An Open Medical GPT)

LLaMA: Open and Efficient Foundation Language Models

HuatuoGPT, towards Taming Language Model to Be a Doctor

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

MedChatZH: a Better Medical Adviser Learns from Better Instructions

The current status of large language models in summarizing radiology
  report impressions


Simulation of X-ray Telescopes

Full-sky photon simulation of clusters and active galactic nuclei in the soft X-rays for eROSITA

Deep learning-based super-resolution and de-noising for XMM-newton images

The velocity structure of the intracluster medium during a major merger: Simulated microcalorimeter observations


TChem - A Software Toolkit for the Analysis of Complex Kinetic Models

Computer-Generated Kinetics for Coupled Heterogeneous/Homogeneous Systems: A Case Study in Catalytic Combustion of Methane on Platinum

Industrial & Engineering Chemistry Research

TChem: A performance portable parallel software toolkit for complex kinetic mechanisms

Variable time-stepping exponential integrators for chemical reactors with analytical Jacobians


A python package designed to run numerical simulations of galactic chemical evolution

The Impact of Starbursts on Element Abundance Ratios

The cosmic carbon footprint of massive stars stripped in binary systems


Interface to the public ECMWF API Web Services


DrWhy is the collection of tools for eXplainable AI (XAI). It's based on shared principles and simple grammar for exploration, explanation and visualisation of predictive models.

Opportunities and Challenges in Explainable Artificial Intelligence (XAI): A Survey

auditor: an R Package for Model-Agnostic Visual Validation and Diagnostics

The Merging Path Plot: adaptive fusing of k-groups with likelihood-based model selection

EPP: interpretable score of model predictive power


Deep Reinforcement Learning for Resource Constrained Multiclass Scheduling in Wireless Networks

Deep Reinforcement Learning for Wireless Resource Allocation Using Buffer State Information


SCR1 is a high-quality open-source RISC-V MCU core in Verilog

Don't CWEAT It

Proceedings of the 41st IEEE/ACM International Conference on Computer-Aided Design

RVCoreP-32IC: A high-performance RISC-V soft processor with an efficient
  fetch unit supporting the compressed instructions


A comprehensive library for implementing LLMs, including a unified training pipeline and comprehensive model evaluation.

What Makes Good In-Context Examples for GPT-3?

Fantastically Ordered Prompts and Where to Find Them: Overcoming Few-Shot Prompt Order Sensitivity

Least-to-Most Prompting Enables Complex Reasoning in Large Language Models

Large Language Models Are Human-Level Prompt Engineers

PAL: Program-aided Language Models

GPQA: A Graduate-Level Google-Proof Q&A Benchmark


A collection of tools to load, visualize, model-fit and image optical interferometry data coming from CHARA, NPOI and VLTI

Dynamical Surface Imaging of λ Andromedae

VLTI-PIONIER imaging of the red supergiant V602 Carinae

Long Term Evolution of Surface Features on the Red Supergiant AZ Cyg

Imaging the Inner Astronomical Unit of the Herbig Be Star HD 190073

The Great Dimming of the Hypergiant Star RW Cephei: CHARA Array Images and Spectral Analysis

The Orbit and Dynamical Mass of Polaris: Observations with the CHARA Array


Hierarchical meta-d' model

HMeta-d: hierarchical Bayesian estimation of metacognitive efficiency from confidence ratings

Metacognitive Failure as a Feature of Those Holding Radical Beliefs

Forming global estimates of self-performance from local confidence

Is there a G factor for metacognition? Correlations in retrospective metacognitive sensitivity across tasks.

Journal of experimental psychology. General

The Filter Detection Task for measurement of breathing-related interoception and metacognition

Perceptual metacognition of human faces is causally supported by function of the lateral prefrontal cortex

Developmental trajectories of metacognitive processing and executive function from childhood to older age

Quarterly journal of experimental psychology (2006)

The positive evidence bias in perceptual confidence is unlikely post-decisional

Skill and self-knowledge: empirical refutation of the dual-burden account of the Dunning–Kruger effect

Preserved metacognition despite impaired perception of intentionality cues in schizophrenia


Repository for supplemental material of manuscripts

MEK inhibitors activate Wnt signalling and induce stem cell plasticity in colorectal cancer

Toward an integrated map of genetic interactions in cancer cells

Widespread Rewiring of Genetic Networks upon Cancer Signaling Pathway Activation

Genome-scale CRISPR screening at high sensitivity with an empirically designed sgRNA library

Time-resolved mapping of genetic interactions to model rewiring of signaling pathways

Detection of mutational patterns in cell-free DNA of colorectal cancer by custom amplicon sequencing

Multi-omics integration identifies a selective vulnerability of colorectal cancer subtypes to YM155

Pooled CRISPR screening at high sensitivity with an empirically designed sgRNA library


Awesome work on object 6 DoF pose estimation

Real-Time Simultaneous Pose and Shape Estimation for Articulated Objects Using a Single Depth Camera

IEEE Transactions on Pattern Analysis and Machine Intelligence

Inferring Salient Objects from Human Fixations

Pix2Vox++: Multi-scale Context-aware 3D Object Reconstruction from Single and Multiple Images

International Journal of Computer Vision

Learning single-image 3D reconstruction by generative modelling of shape, pose and shading

Dense Semantic 3D Reconstruction

Hand-Object Contact Force Estimation from Markerless Visual Tracking

Novel Views of Objects from a Single Image

SurfelMeshing: Online Surfel-Based Mesh Reconstruction

Learning Category-Specific Deformable 3D Models for Object Reconstruction

Latent-Class Hough Forests for 6 DoF Object Pose Estimation


RetinaFace: Deep Face Detection Library for Python

Fast R-CNN

Segment Anything

RetinaFace: Single-Shot Multi-Level Face Localisation in the Wild

RetinaFace: Single-stage Dense Face Localisation in the Wild

Multimodal C4: An Open, Billion-scale Corpus of Images Interleaved with Text

GANonymization: A GAN-based Face Anonymization Framework for Preserving Emotional Expressions

State of the Art of Quality Assessment of Facial Images


A collection of astronomy-related routines in Python

CHARACTERIZING K2 PLANET DISCOVERIES: A SUPER-EARTH TRANSITING THE BRIGHT K DWARF HIP 116454

Magnetic Inflation and Stellar Mass. II. On the Radii of Single, Rapidly Rotating, Fully Convective M-Dwarf Stars

Sizes and Kinematics of Extended Narrow-line Regions in Luminous Obscured AGN Selected by Broadband Images

Rotation of cometary nuclei: new light curves and an update of the ensemble properties of Jupiter-family comets

Monthly Notices of the Royal Astronomical Society

On the detection of Exomoons

Deciphering the atmosphere of HAT-P-12b: solving discrepant results

Kepler Object of Interest Network

The Unanticipated Phenomenology of the Blazar PKS 2131–021: A Unique Supermassive Black Hole Binary Candidate

HST/STIS transmission spectrum of the ultra-hot Jupiter WASP-76 b confirms the presence of sodium in its atmosphere

An HST/STIS Optical Transmission Spectrum of Warm Neptune GJ 436b


A flexible package for multimodal-deep-learning to combine tabular data with text and images using Wide and Deep models in Pytorch

Revisiting Deep Learning Models for Tabular Data

TabTransformer: Tabular Data Modeling Using Contextual Embeddings

SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive Pre-Training


A research protocol for deep graph matching.

SuperGlue: Learning Feature Matching with Graph Neural Networks

Learning Combinatorial Embedding Networks for Deep Graph Matching

International Conference on Computer Vision

Neural Graph Matching Network: Learning Lawler's Quadratic Assignment Problem with Extension to Hypergraph and Multiple-graph Matching

Deep Graph Matching via Blackbox Differentiation of Combinatorial Solvers

Combinatorial Learning of Robust Deep Graph Matching: An Embedding Based Approach

Combinatorial Learning of Graph Edit Distance via Dynamic Embedding

Graph Matching with Bi-level Noisy Correspondence

Joint Graph Learning and Matching for Semantic Feature Correspondence

Equivariant Hypergraph Neural Networks

Deep Learning of Partial Graph Matching via Differentiable Top-K


Static code analysis tool for detecting recurring patterns in Scratch projects.

Common Bugs in Scratch Programs

Integrating Technology into Computer Science Education

LitterBox: A Linter for Scratch Programs

Code Perfumes: Reporting Good Code to Encourage Learners

Workshop in Primary and Secondary Computing Education

Improving Readability of Scratch Programs with Search-based Refactoring

Common Patterns in Block-Based Robot Programs


MaAsLin2: Microbiome Multivariate Association with Linear Models

Associations of the intestinal microbiome with the complement system in neovascular age-related macular degeneration

Intermittent hypoxia is involved in gut microbial dysbiosis in type 2 diabetes mellitus and obstructive sleep apnea-hypopnea syndrome

Metagenomic Insights Into the Microbial Communities of Inert and Oligotrophic Outdoor Pier Surfaces of a Coastal City

Aryl Hydrocarbon Receptor (AhR) Activation by 2,3,7,8-Tetrachlorodibenzo-p-Dioxin (TCDD) Dose-Dependently Shifts the Gut Microbiome Consistent with the Progression of Non-Alcoholic Fatty Liver Disease

Dioxin-elicited decrease in cobalamin redirects propionyl-CoA metabolism to the β–oxidation-like pathway resulting in acrylyl-CoA conjugate buildup


RandLA-Net: Efficient Semantic Segmentation of Large-Scale Point Clouds

SinGAN: Learning a Generative Model from a Single Natural Image

Contrastive Learning for Compact Single Image Dehazing

Edge-labeling Graph Neural Network for Few-shot Learning

Meta-Baseline: Exploring Simple Meta-Learning for Few-Shot Learning

Dynamic Dual-Attentive Aggregation Learning for Visible-Infrared Person Re-Identification

LatticeNet: Towards Lightweight Image Super-Resolution with Lattice Block

Distilling Image Dehazing With Heterogeneous Task Imitation

Perturbed Self-Distillation: Weakly Supervised Large-Scale Point Cloud Semantic Segmentation

Weakly Supervised Semantic Segmentation for Large-Scale Point Cloud


3D U-Net model for volumetric semantic segmentation written in pytorch

Squeeze-and-Excitation Networks

3D U-Net: Learning Dense Volumetric Segmentation from Sparse Annotation

Вестник компьютерных и информационных технологий

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

Superhuman Accuracy on the SNEMI3D Connectomics Challenge

Spatially Varying Label Smoothing: Capturing Uncertainty from Expert Annotations

Memory Optimization for Deep Networks

MulViMotion: Shape-Aware 3D Myocardial Motion Tracking From Multi-View Cardiac MRI

3D FLAT: Feasible Learned Acquisition Trajectories for Accelerated MRI

Mesh-based 3D Motion Tracking in Cardiac MRI using Deep Learning

3D Molecular Generation via Virtual Dynamics


See main repository

Including massive neutrinos in thermal Sunyaev Zeldovich power spectrum and cluster counts analyses

Component-separated, CIB-cleaned thermal Sunyaev–Zel'dovich maps from Planck PR4 data with a flexible public needlet ILC pipeline

Cross-correlation of the thermal Sunyaev--Zel'dovich and CMB lensing signals in Planck PR4 data with robust CIB decontamination

Improved modeling of the kinematic Sunyaev-Zel’dovich projected-fields signal and its cosmological dependence


The Udacity open source self-driving car project

DeepXplore: Automated Whitebox Testing of Deep Learning Systems

Symposium on Operating Systems Principles

DeepTest: Automated Testing of Deep-Neural-Network-driven Autonomous Cars

A Survey of Autonomous Driving: Common Practices and Emerging Technologies

A Survey of Deep Learning Applications to Autonomous Vehicle Control

Efficient Formal Safety Analysis of Neural Networks

Testing machine learning based systems: a systematic mapping

Zenodo (CERN European Organization for Nuclear Research)

Model-Reuse Attacks on Deep Learning Systems

End-to-end Multi-Modal Multi-Task Vehicle Control for Self-Driving Cars with Visual Perception

DeepBillboard: Systematic Physical-World Testing of Autonomous Driving Systems

Few-shot Adaptive Faster R-CNN


A Deep Learning based project for colorizing and restoring old images (and video!)

Self-Attention Generative Adversarial Networks

Instance-aware Image Colorization

A Survey of Deep Learning for Scientific Discovery

Towards Vivid and Diverse Image Colorization with Generative Color Prior

SCGAN: Saliency Map-Guided Colorization With Generative Adversarial Network

IEEE Transactions on Circuits and Systems for Video Technology

Pixel-Aware Stable Diffusion for Realistic Image Super-resolution and Personalized Stylization

BigColor: Colorization using a Generative Color Prior for Natural Images

Time-Travel Rephotography

DDColor: Towards Photo-Realistic Image Colorization via Dual Decoders

UniColor: A Unified Framework for Multi-Modal Colorization with Transformer


OpenVINO Training Extensions Object Re-identification

Omni-Scale Feature Learning for Person Re-Identification

Learning Generalisable Omni-Scale Representations for Person Re-Identification

Torchreid: A Library for Deep Learning Person Re-Identification in Pytorch

Combining Metric Learning and Attention Heads For Accurate and Efficient Multilabel Image Classification


A High-Level Abstraction Framework for Quantum Algorithms

A Quantum Computing View on Unitary Coupled Cluster Theory

TEQUILA: a platform for rapid development of quantum algorithms

Reducing Qubit Requirements while Maintaining Numerical Precision for the Variational Quantum Eigensolver: A Basis-Set-Free Approach

The journal of physical chemistry letters

Optimized low-depth quantum circuits for molecular electronic structure using a separable-pair approximation

Quantum Equation of Motion with Orbital Optimization for Computing Molecular Properties in Near-Term Quantum Computing


An open software package to develop BCI based brain and cognitive computing technology for recognizing user's intention using deep learning

Multi-Scale Neural Network for EEG Representation Learning in BCI

Mobile BCI dataset of scalp- and ear-EEGs with ERP and SSVEP paradigms while standing, walking, and running

Inter-subject Contrastive Learning for Subject Adaptive EEG-based Visual Recognition

Source-free Subject Adaptation for EEG-based Visual Recognition


⚠ Firefox Focus (Android) moved to a new repository. It is now developed and maintained as part of: https://github.com/mozilla-mobile/firefox-android

An Empirical Investigation into the Reproduction of Bug Reports for Android Apps

IEEE International Conference on Software Analysis, Evolution, and Reengineering

A METHOD FOR CLASSIFYING USABILITY FINDINGS TO ENHANCE VALIDATION OF NEW HEURISTICS

Semantic GUI Scene Learning and Video Alignment for Detecting Duplicate Video-based Bug Reports


Checking that functions are constant time with Valgrind

ct-fuzz: Fuzzing for Timing Leaks

Iodine: Verifying Constant-Time Execution of Hardware

ZeroLeak: Using LLMs for Scalable and Cost Effective Side-Channel Patching

Towards Automated Detection of Single-Trace Side-Channel Vulnerabilities in Constant-Time Cryptographic Code

Testing side-channel security of cryptographic implementations against
  future microarchitectures

Solver-Aided Constant-Time Circuit Verification


COCO-Text: Dataset and Benchmark for Text Detection and Recognition in Natural Images

ICDAR2017 Competition on Reading Chinese Text in the Wild (RCTW-17)

End-to-End Interpretation of the French Street Name Signs Dataset

Chinese Text in the Wild


Tree of Thoughts: Deliberate Problem Solving with Large Language Models

Reasoning with Language Model is Planning with World Model

RoT: Enhancing Large Language Models with Reflection on Search Trees


Official Code of our AAAI-24 Paper: "Generative Multi-modal Knowledge Retrieval with Large Language Models".

YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors

Autoregressive Search Engines: Generating Substrings as Document Identifiers

Weakly-Supervised Visual-Retriever-Reader for Knowledge-based Question Answering

Generative Multi-Modal Knowledge Retrieval with Large Language Models


PyTorch implementation of EMAN for self-supervised and semi-supervised learning: https://arxiv.org/abs/2101.08482

Momentum Contrast for Unsupervised Visual Representation Learning

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

FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence

Exponential Moving Average Normalization for Self-supervised and Semi-supervised Learning


Text databases of last names from various countries

Comparison of machine-learning algorithms for the prediction of Current Procedural Terminology (CPT) codes from pathology reports

MASK: A flexible framework to facilitate de-identification of clinical texts

Compositional Generalization for Natural Language Interfaces to Web APIs

Measuring the Effects of Bias in Training Data for Literary Classification


SwiftSage: A Generative Agent with Fast and Slow Thinking for Complex Interactive Tasks

Agent Lumos: Unified and Modular Training for Open-Source Language Agents

Trial and Error: Exploration-Based Trajectory Optimization for LLM
  Agents


Translation of the MeCab documentation to English

Surrounding Word Sense Model for Japanese All-words Word Sense Disambiguation

Pacific Asia Conference on Language, Information, and Computation

Evaluating a Multi-sense Definition Generation Model for Multiple Languages

A Comparison of Two Fluctuation Analyses for Natural Language Clustering Phenomena: Taylor and Ebeling & Neiman Methods


A novel deep learning method for predictive modeling of microbiome data

Applications of Machine Learning Models to Predict and Prevent Obesity: A Mini-Review


Various utilities for processing the data.

Edition 1.2 of the PARSEME Shared Task on Semi-supervised Identification of Verbal Multiword Expressions

Resources for Turkish Dependency Parsing: Introducing the BOUN Treebank and the BoAT Annotation Tool

Parsing Universal Dependencies without training

Building minority dependency treebanks, dictionaries and computational grammars at the same time—an experiment in Karelian treebanking

Proceedings of the Third Workshop on Universal Dependencies (UDW, SyntaxFest 2019)

Two languages, one treebank: building a Turkish–German code-switching treebank and its challenges

A Second Wave of UD Hebrew Treebanking and Cross-Domain Parsing

Tree Rotations for Dependency Trees: Converting the Head-Directionality of Noun Phrases

Estimating POS Annotation Consistency of Different Treebanks in a Language

Proceedings of the 19th International Workshop on Treebanks and Linguistic Theories

Unifying the Treatment of Preposition-Determiner Contractions in German Universal Dependencies Treebanks

MaiBaam: A Multi-Dialectal Bavarian Universal Dependency Treebank


Controllable Sentence Simplification with T5

Controllable Sentence Simplification with a Unified Text-to-Text Transfer Transformer

Proceedings of the 14th International Conference on Natural Language Generation

Controllable Lexical Simplification for English

Do Text Simplification Systems Preserve Meaning? A Human Evaluation via Reading Comprehension


Domain Generalization for Object Recognition with Multi-task Autoencoders

Domain Adaptation for Visual Applications: A Comprehensive Survey

Zero-shot Domain Adaptation without Domain Semantic Descriptors

Meta-Learning for Relative Density-Ratio Estimation

Few-shot Learning for Unsupervised Feature Selection

Meta-learning for Positive-unlabeled Classification


Data and code for paper "EQG-RACE: Examination-Type Question Generation" at AAAI2021.

Asking Questions Like Educational Experts: Automatically Generating Question-Answer Pairs on Real-World Examination Data

A review on the use of large language models as virtual tutors


A robust and fast clustering method for amplicon-based studies

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

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

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


Unofficial implementation of the DeepMind papers "Uncovering the Limits of Adversarial Training against Norm-Bounded Adversarial Examples" & "Fixing Data Augmentation to Improve Adversarial Robustness" in PyTorch

Towards Deep Learning Models Resistant to Adversarial Attacks

Improving Robustness using Generated Data

Efficient and Effective Augmentation Strategy for Adversarial Training


Deep Learning Meets SAR

PolSF: PolSAR image dataset on San Francisco

PolSF: PolSAR Image Datasets on San Francisco

IFIP advances in information and communication technology


implementation of different Dirichlet Variational Autoencoder Topic Models in Tensorflow

Implicit Reparameterization Gradients

WHAI: Weibull Hybrid Autoencoding Inference for Deep Topic Modeling

Reparameterization Gradients through Acceptance-Rejection Sampling Algorithms

Dirichlet Variational Autoencoder

Improving Neural Topic Models using Knowledge Distillation


C++ implemented Coordinate Descent Full Configuration Interaction (CDFCI) package for quantum chemistry calculation.

Coordinate Descent Full Configuration Interaction.

Journal of chemical theory and computation

CoordinateWise Descent Methods for Leading Eigenvalue Problem

Optimal Orbital Selection for Full Configuration Interaction (OptOrbFCI): Pursuing the Basis Set Limit under a Budget

A power series approximation in symmetry projected coupled cluster theory.

Coordinate Descent Full Configuration Interaction for Excited States


LiveBot: Generating Live Video Comments Based on Visual and Textual Contexts (AAAI 2019)

DCA: Diversified Co-Attention towards Informative Live Video Commenting

Multimodal Matching Transformer for Live Commenting

Response to LiveBot: Generating Live Video Comments Based on Visual and Textual Contexts


Code base for "G-Transformer for Document-level Machine Translation"

Contextualized Rewriting for Text Summarization

Exploring Paracrawl for Document-level Neural Machine Translation

Lexical Translation Inconsistency-Aware Document-Level Translation Repair

Findings of the Association for Computational Linguistics: ACL 2023

SUPER: Evaluating Agents on Setting Up and Executing Tasks from Research
  Repositories

Modeling Consistency Preference via Lexical Chains for Document-level Neural Machine Translation

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


Multi-XScience: A Large-scale Dataset for Extreme Multi-document Summarization of Scientific Articles

CiteBench: A benchmark for Scientific Citation Text Generation

SKT5SciSumm -- Revisiting Extractive-Generative Approach for Multi-Document Scientific Summarization


Predicting Organic Reaction Outcomes with Weisfeiler-Lehman Network (NIPS 2017)

Prediction of Organic Reaction Outcomes Using Machine Learning

"Found in Translation": Predicting Outcomes of Complex Organic Chemistry Reactions using Neural Sequence-to-Sequence Models

A Generative Model For Electron Paths

Graph-based Molecular Representation Learning

Bidirectional Generation of Structure and Properties Through a Single Molecular Foundation Model

Data Transfer Approaches to Improve Seq-to-Seq Retrosynthesis

SynCluster: Reaction Type Clustering and Recommendation Framework for Synthesis Planning


Joulia.jl: A Large-Scale Spatial Power System Model for Julia

Illustrating the Benefits of Openness: A Large-Scale Spatial Economic Dispatch Model Using the Julia Language


A framework to monitor and improve the performance of PostgreSQL using Machine Learning methods.

Are We Ready For Learned Cardinality Estimation?

FLAT: Fast, Lightweight and Accurate Method for Cardinality Estimation

BayesCard: Revitilizing Bayesian Frameworks for Cardinality Estimation


Graduated Non-Convexity (GNC) and Adaptive Trimming (ADAPT) algorithms for outlier robust estimation

Graduated Non-Convexity for Robust Spatial Perception: From Non-Minimal Solvers to Global Outlier Rejection

International Conference on Robotics and Automation

Outlier-Robust Estimation: Hardness, Minimally Tuned Algorithms, and Applications

Outlier-Robust Spatial Perception: Hardness, General-Purpose Algorithms, and Guarantees


Variants of GANs most easily implemented as TensorFlow2. GAN, DCGAN, LSGAN, WGAN, WGAN-GP, DRAGAN, ETC...

Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks

Conditional Generative Adversarial Nets

Improved Training of Wasserstein GANs

On the Effectiveness of Least Squares Generative Adversarial Networks

Wasserstein GAN

Semi-Supervised Learning with Generative Adversarial Networks

On Convergence and Stability of GANs


ONNX-compatible Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data

DINOv2: Learning Robust Visual Features without Supervision

Depth Anything V2


This repo is the official implementation of "BEVTrack: A Simple and Strong Baseline for 3D Single Object Tracking in Bird's-Eye View".

GLT-T: Global-Local Transformer Voting for 3D Single Object Tracking in Point Clouds

OSP2B: One-Stage Point-to-Box Network for 3D Siamese Tracking


Code for the Paper "Improving Diffusion Model Efficiency Through Patching"

Perception Prioritized Training of Diffusion Models

Progressive Distillation for Fast Sampling of Diffusion Models


Adversarial Defense for Ensemble Models (ICML 2019)

Improving Adversarial Robustness via Promoting Ensemble Diversity

Beware the Black-Box: On the Robustness of Recent Defenses to Adversarial Examples

Improving Ensemble Robustness by Collaboratively Promoting and Demoting Adversarial Robustness

"What's in the box?!": Deflecting Adversarial Attacks by Randomly Deploying Adversarially-Disjoint Models


[VLDB'22] Anomaly Detection using Transformers, self-conditioning and adversarial training.

TranAD: Deep Transformer Networks for Anomaly Detection in Multivariate Time Series Data

Is It Worth It? Comparing Six Deep and Classical Methods for Unsupervised Anomaly Detection in Time Series

GTAD: Graph and Temporal Neural Network for Multivariate Time Series Anomaly Detection

LPC-AD: Fast and Accurate Multivariate Time Series Anomaly Detection via Latent Predictive Coding


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

Graph Self-Supervised Learning: A Survey

Large-Scale Representation Learning on Graphs via Bootstrapping

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

ImGCL: Revisiting Graph Contrastive Learning on Imbalanced Node Classification

Unsupervised Network Embedding Beyond Homophily


PyTorch implementations of NVDM, GSM, NTM, NTMR

Neural Variational Inference for Text Processing

Discovering Discrete Latent Topics with Neural Variational Inference

Coherence-Aware Neural Topic Modeling

Classification aware neural topic model for COVID-19 disinformation categorisation

vONTSS: vMF based semi-supervised neural topic modeling with optimal transport

DeTiME: Diffusion-Enhanced Topic Modeling using Encoder-decoder based LLM


Causal Effect Inference with Deep Latent-Variable Models

Causal Knowledge Guided Societal Event Forecasting

Estimating Potential Outcome Distributions with Collaborating Causal Networks

Inferring Personalized and Race-Specific Causal Effects of Genomic Aberrations on Gleason Scores: A Deep Latent Variable Model


Code for the Paper: Antonino Furnari and Giovanni Maria Farinella. What Would You Expect? Anticipating Egocentric Actions with Rolling-Unrolling LSTMs and Modality Attention. International Conference on Computer Vision, 2019.

Anticipative Video Transformer

Rolling-Unrolling LSTMs for Action Anticipation from First-Person Video

IEEE transactions on pattern analysis and machine intelligence

Deep Learning for Vision-based Prediction: A Survey

Towards Streaming Egocentric Action Anticipation

Streaming egocentric action anticipation: An evaluation scheme and approach


Fuel cell electric vehicle with battery model and cooling system.


FaceQnet: Quality Assessment for Face Recognition based on Deep Learning

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

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

Biometric Quality: Review and Application to Face Recognition with FaceQnet

Face Quality Estimation and Its Correlation to Demographic and Non-Demographic Bias in Face Recognition

A Deep Insight into Measuring Face Image Utility with General and Face-specific Image Quality Metrics

The Effect of Wearing a Face Mask on Face Image Quality

Harnessing Unrecognizable Faces for Improving Face Recognition

Explainability of the Implications of Supervised and Unsupervised Face Image Quality Estimations Through Activation Map Variation Analyses in Face Recognition Models

What Should Be Balanced in a "Balanced" Face Recognition Dataset?


EfficientNets snapshot

Deep Residual Learning for Image Recognition

EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks

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

Pruning Compact ConvNets for Efficient Inference


Python package for simple implementations of state-of-the-art LDP frequency estimation algorithms. Contains code for our VLDB 2021 Paper.

Hadamard Response: Estimating Distributions Privately, Efficiently, and with Little Communication

Frequency estimation under local differential privacy

Differential Privacy: What is all the noise about?


CBAM implementation on TensorFlow Slim

Squeeze-and-Excitation Networks

CBAM: Convolutional Block Attention Module

Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning

Aggregated Residual Transformations for Deep Neural Networks


BERT and ELECTRA models trained on Europeana Newspapers

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

DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter

ELECTRA: Pre-training Text Encoders as Discriminators Rather Than Generators

ConvBERT: Improving BERT with Span-based Dynamic Convolution

Named Entity Recognition and Classification in Historical Documents: A Survey

Ask Language Model to Clean Your Noisy Translation Data


[ICLR 2018] Learning to Count Objects in Natural Images for Visual Question Answering

Bilinear Attention Networks


BSD 4-Clause "Original" or "Old" License

High resolution optical mapping of cardiac electrophysiology in pre-clinical models

A Protocol for Transverse Cardiac Slicing and Optical Mapping in Murine Heart

Examination of the Effects of Conduction Slowing on the Upstroke of Optically Recorded Action Potentials

A dataset of dual calcium and voltage optical mapping in healthy and hypertrophied murine hearts

Temporal irregularity quantification and mapping of optical action potentials using wave morphology similarity

Progress in biophysics and molecular biology


Hierarchical Self-Play

Intrinsic Motivation and Automatic Curricula via Asymmetric Self-Play

Learning with AMIGo: Adversarially Motivated Intrinsic Goals

Learning Goal Embeddings via Self-Play for Hierarchical Reinforcement Learning

Explore and Control with Adversarial Surprise


Age and gender recognition using arcface and MLP.

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

Generalizing MLPs With Dropouts, Batch Normalization, and Skip Connections

A modular architecture for creating multimodal agents


Differentiable Sorting Networks

Differentiable Sorting Networks for Scalable Sorting and Ranking Supervision

Monotonic Differentiable Sorting Networks

Learning with Differentiable Algorithms


This repository documents MATLAB implementation of a dynamic user equilibrium solver, including a dynamic network loading sub-routine

Computing Dynamic User Equilibria on Large-Scale Networks with Software Implementation

Computing Dynamic User Equilibrium on Large-Scale Networks Without Knowing Global Parameters

Computing Dynamic User Equilibria on Large-Scale Networks: From Theory to Software Implementation.

Strong Convergence of Forward-Backward-Forward Methods for Pseudo-monotone Variational Inequalities with Applications to Dynamic User Equilibrium in Traffic Networks


spectrai: a deep learning framework for spectral data

In-Vivo Hyperspectral Human Brain Image Database for Brain Cancer Detection

High-Throughput Molecular Imaging via Deep-Learning-Enabled Raman Spectroscopy

AeroRIT: A New Scene for Hyperspectral Image Analysis

IEEE Transactions on Geoscience and Remote Sensing

spectrai: A deep learning framework for spectral data


Neural Style Transfer For Chinese Characters

Auto-Encoder Guided GAN for Chinese Calligraphy Synthesis

DG-Font: Deformable Generative Networks for Unsupervised Font Generation

GAN-Based Unpaired Chinese Character Image Translation via Skeleton Transformation and Stroke Rendering

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

Look Closer to Supervise Better: One-Shot Font Generation via Component-Based Discriminator

Few-Shot Font Generation by Learning Fine-Grained Local Styles

A Unified Framework for Generalizable Style Transfer: Style and Content Separation

Handwritten Chinese Font Generation with Collaborative Stroke Refinement

Learning Typographic Style

FontGAN: A Unified Generative Framework for Chinese Character Stylization and De-stylization

DGFont++: Robust Deformable Generative Networks for Unsupervised Font Generation


TMM package for offline ocean biogeochemical simulations

Calibrating a global three-dimensional biogeochemical ocean model (MOPS-1.0)

Calibration of a simple and a complex model of global marine biogeochemistry

One size fits all? Calibrating an ocean biogeochemistry model for different circulations

Noble gas tracers of ventilation during deep-water formation in the Weddell Sea

IOP Conference Series: Earth and Environmental Science

Global Ocean Cooling of 2.3°C During the Last Glacial Maximum


Sparse evolutionary deep learning with over one million artificial neurons on commodity hardware

An MPI-Based Python Framework for Distributed Training with Keras

Truly Sparse Neural Networks at Scale


Code for CVPR2020 paper QEBA: Query-Efﬁcient Boundary-Based Blackbox Attack

Membership Leakage in Label-Only Exposures

QEBA: Query-Efficient Boundary-Based Blackbox Attack

SurFree: a fast surrogate-free black-box attack

Preprocessors Matter! Realistic Decision-Based Attacks on Machine Learning Systems

Tracing the Origin of Adversarial Attack for Forensic Investigation and Deterrence


Recurrent Neural Networks based Autoencoder for Time Series Anomaly Detection

LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection

Context-aware Domain Adaptation for Time Series Anomaly Detection


Non-parallel voice conversion called ICRCycleGAN-VC based on CycleGAN and Inception-resNet module by Afiuny

StarGAN-VC: non-parallel many-to-many Voice Conversion Using Star Generative Adversarial Networks

Voice Conversion from Non-parallel Corpora Using Variational Auto-encoder

CycleGAN-VC2: Improved CycleGAN-based Non-parallel Voice Conversion

Statistical Parametric Speech Synthesis Incorporating Generative Adversarial Networks

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

CycleGAN-VC3: Examining and Improving CycleGAN-VCs for Mel-spectrogram Conversion

MaskCycleGAN-VC: Learning Non-parallel Voice Conversion with Filling in Frames

Generative Adversarial Networks for Unpaired Voice Transformation on Impaired Speech


Blender addon to inspect and preprocess COLMAP data for Neuralangelo (CVPR 2023)

NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction

Volume Rendering of Neural Implicit Surfaces

Multiview Neural Surface Reconstruction by Disentangling Geometry and Appearance

Neuralangelo: High-Fidelity Neural Surface Reconstruction


Meta-GNN: On Few-shot Node Classification in Graph Meta-learning

Node Classification on Graphs with Few-Shot Novel Labels via Meta Transformed Network Embedding

Contrastive Graph Few-Shot Learning


MoDL: Model-Based Deep Learning Architecture for Inverse Problems

Score-based diffusion models for accelerated MRI

Joint Frequency and Image Space Learning for MRI Reconstruction and Analysis

Deep, Deep Learning with BART

Self-Supervised Federated Learning for Fast MR Imaging

FedAutoMRI: Federated Neural Architecture Search for MR Image Reconstruction

Data and Physics driven Deep Learning Models for Fast MRI
  Reconstruction: Fundamentals and Methodologies


Sponge Examples: Energy-Latency Attacks on Neural Networks

Energy-Latency Attacks via Sponge Poisoning

Minimizing Energy Consumption of Deep Learning Models by Energy-Aware Training


NeurIPS 2016. Linear-time interpretable nonparametric two-sample test.

Interpretable Distribution Features with Maximum Testing Power

On the Use of Random Forest for Two-Sample Testing

Concept Drift Detection: Dealing With Missing Values via Fuzzy Distance Estimations

Two-sample Test with Kernel Projected Wasserstein Distance

Comparing distributions: ℓ_1 geometry improves kernel two-sample testing

A Fast and Effective Large-Scale Two-Sample Test Based on Kernels


Code release for ICLR 2024 paper: Exploring Diffusion Time-steps for Unsupervised Representation Learning

Unsupervised Representation Learning from Pre-trained Diffusion Probabilistic Models


Implementation of Random Expert Distillation

Random Expert Distillation: Imitation Learning via Expert Policy Support Estimation

Imitation with Neural Density Models

Deterministic and Discriminative Imitation (D2-Imitation): Revisiting Adversarial Imitation for Sample Efficiency

Support-weighted Adversarial Imitation Learning


pytorch version of face-alignment-training(ICCV2017)

How far are we from solving the 2D & 3D Face Alignment problem? (and a dataset of 230,000 3D facial landmarks)

International Conference on Computer Vision

Landmark Breaker: Obstructing DeepFake By Disturbing Landmark Extraction

Toward the Creation and Obstruction of DeepFakes

Handbook of Digital Face Manipulation and Detection


Implementation of  paper "Self-supervised Learning on Graphs:Deep Insights and New Directions"

Graph Self-Supervised Learning: A Survey

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

Self-supervised Learning on Graphs: Deep Insights and New Direction


Code for paper EDDI: Efficient Dynamic Discovery of High-Value Information with Partial VAE

Simultaneous Missing Value Imputation and Structure Learning with Groups

VICause: Simultaneous Missing Value Imputation and Causal Discovery with Groups.

Generator Assisted Mixture of Experts For Feature Acquisition in Batch


Omniglot data set for one-shot learning

The Omniglot challenge: a 3-year progress report

Algorithmic fairness datasets: the story so far

Brain-inspired global-local learning incorporated with neuromorphic computing

Morpho-MNIST: Quantitative Assessment and Diagnostics for Representation Learning

Spectroscopic characterization of isomerization transition states

A Comprehensive Overview and Survey of Recent Advances in Meta-Learning

Information Aware max-norm Dirichlet networks for predictive uncertainty estimation

Neural networks : the official journal of the International Neural Network Society

Deep Reinforcement Learning

Few-shot and meta-learning methods for image understanding: a survey

International Journal of Multimedia Information Retrieval

On Provably Robust Meta-Bayesian Optimization


PyTorch code for "FactPEGASUS: Factuality-Aware Pre-training and Fine-tuning for Abstractive Summarization" (NAACL 2022)

Entity-level Factual Adaptiveness of Fine-tuning based Abstractive
  Summarization Models


Parallel (asynchronous) sparse coding implementation for obtaining sparse overcomplete word vectors

Sparse Overcomplete Word Vector Representations

A Generative Word Embedding Model and its Low Rank Positive Semidefinite Solution

PSDVec: a Toolbox for Incremental and Scalable Word Embedding

Neural-based Noise Filtering from Word Embeddings

Sparse Lifting of Dense Vectors: Unifying Word and Sentence Representations


StoRM: A Diffusion-based Stochastic Regeneration Model for Speech Enhancement and Dereverberation

StoRM: A Diffusion-Based Stochastic Regeneration Model for Speech Enhancement and Dereverberation

Noise-aware Speech Enhancement using Diffusion Probabilistic Model

Thunder : Unified Regression-Diffusion Speech Enhancement with a Single Reverse Step using Brownian Bridge


Adaptive Neural Trees

Deep Residual Learning for Image Recognition

Adaptive Neural Trees

Dive into Decision Trees and Forests: A Theoretical Demonstration


A scikit-learn compatible Python package for GPU-accelerated computation of the signature kernel using CuPy.

Fast and scalable polynomial kernels via explicit feature maps

Signature moments to characterize laws of stochastic processes

Approximate Bayesian Computation with Path Signatures

Amortised Likelihood-free Inference for Expensive Time-series Simulators with Signatured Ratio Estimation

The Signature Kernel

Random Fourier Signature Features

Generative model for financial time series trained with MMD using a signature kernel


A toolbox of Hawkes processes

A Dirichlet Mixture Model of Hawkes Processes for Event Sequence Clustering

Learning Hawkes Processes from Short Doubly-Censored Event Sequences

CAUSE: Learning Granger Causality from Event Sequences using Attribution Methods

THAP: A Matlab Toolkit for Learning with Hawkes Processes

Modeling Events and Interactions through Temporal Processes -- A Survey


Code and data for the research paper "A Bio-Inspired Multi-Exposure Fusion Framework for Low-light Image Enhancement" (Submitted to IEEE Transactions on Cybernetics)

UG^2+ Track 2: A Collective Benchmark Effort for Evaluating and Advancing Image Understanding in Poor Visibility Environments

A Low-Light Sensor Image Enhancement Algorithm Based on HSI Color Model

BITPNet: Unsupervised Bio-Inspired Two-Path Network for Nighttime Traffic Image Enhancement

Super-Pixel Guided Low-Light Images Enhancement with Features Restoration


Pytorch implementation of "Exploring Interpretable LSTM Neural Networks over Multi-Variable Data" https://arxiv.org/pdf/1905.12034.pdf

Knowing your FATE: Friendship, Action and Temporal Explanations for User Engagement Prediction on Social Apps

Community Impact on a Cryptocurrency: Twitter Comparison Example Between Dogecoin and Litecoin

Handwriting Evaluation Using Deep Learning with SensoGrip


Code for "KBGAN: Adversarial Learning for Knowledge Graph Embeddings" https://arxiv.org/abs/1711.04071

NSCaching: Simple and Efficient Negative Sampling for Knowledge Graph Embedding

Reinforcement learning on graphs: A survey

Simple and automated negative sampling for knowledge graph embedding


The official Tensorflow implementation for ICCV'19 paper 'Attributing Fake Images to GANs: Learning and Analyzing GAN Fingerprints'

Leveraging Frequency Analysis for Deep Fake Image Recognition

Countering Malicious DeepFakes: Survey, Battleground, and Horizon

RepMix: Representation Mixing for Robust Attribution of Synthesized Images

Towards Robust Gan-Generated Image Detection: A Multi-View Completion Representation


Python scripts for physics-informed neural networks for corrosion-fatigue prognosis

Physics-Informed Neural Networks for Missing Physics Estimation in Cumulative Damage Models: A Case Study in Corrosion Fatigue

Journal of Computing and Information Science in Engineering

Physics-Informed Neural Networks for Corrosion-Fatigue Prognosis

Physics-Informed Neural Networks for Bias Compensation in Corrosion-Fatigue


Marine debris detection with commercial satellite imagery and deep learning.


See Triple-GAN-V2 in PyTorch: https://github.com/taufikxu/Triple-GAN

Improved Techniques for Training GANs

Triple Generative Adversarial Nets

Triple Generative Adversarial Networks

SeGMA: Semi-Supervised Gaussian Mixture Auto-Encoder


Baselines for Model-Based Optimization

Conservative Objective Models for Effective Offline Model-Based Optimization

Generative Pretraining for Black-Box Optimization

Bootstrapped Training of Score-Conditioned Generator for Offline Design of Biological Sequences

Guided Trajectory Generation with Diffusion Models for Offline Model-based Optimization


Source code to reproduce the results in the ACL 2019 paper "Syntactically Supervised Transformers for Faster Neural Machine Translation"

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

Hard-Coded Gaussian Attention for Neural Machine Translation

Meeting of the Association for Computational Linguistics


First M87 EHT Results: Imaging Pipelines

Hybrid Mapping of the Black Hole Shadow in M87

The Jet and Resolved Features of the Central Supermassive Black Hole of M87 Observed with the Event Horizon Telescope (EHT)

The jet and resolved features of the central supermassive black hole of
  M 87 observed with EHT in 2017 -- Comparison with the GMVA 86 GHz results


Compress conventional Vision-Language Pre-training data

Beyond neural scaling laws: beating power law scaling via data pruning

Dataset Distillation

Too Large; Data Reduction for Vision-Language Pre-Training


Kaggle | 1st place solution for Freesound Audio Tagging 2019

mixup: Beyond Empirical Risk Minimization

SpecAugment: A Simple Data Augmentation Method for Automatic Speech Recognition

Learning Sound Event Classifiers from Web Audio with Noisy Labels

Audio tagging with noisy labels and minimal supervision

Music theme recognition using CNN and self-attention

Urban Sound Classification : striving towards a fair comparison


Training and evaluation pipeline for MEG and EEG brain signal encoding and decoding using deep learning. Code for our paper "Decoding speech perception from non-invasive brain recordings" published in Nature Machine Intelligence, 2023.

Learning Transferable Visual Models From Natural Language Supervision

wav2vec 2.0: A Framework for Self-Supervised Learning of Speech Representations

Brain decoding: toward real-time reconstruction of visual perception


A framework for automatic speech recognition

Deep Speech 2: End-to-End Speech Recognition in English and Mandarin

Conformer: Convolution-augmented Transformer for Speech Recognition

Attention-Based Models for Speech Recognition

Deep Speech: Scaling up end-to-end speech recognition

Sequence Transduction with Recurrent Neural Networks

Transformer Transducer: A Streamable Speech Recognition Model with Transformer Encoders and RNN-T Loss

Wav2Letter: an End-to-End ConvNet-based Speech Recognition System

Listen, Attend and Spell

ContextNet: Improving Convolutional Neural Networks for Automatic Speech Recognition with Global Context

Jasper: An End-to-End Convolutional Neural Acoustic Model


Attention is Not Only a Weight: Analyzing Transformers with Vector Norms

Incorporating Residual and Normalization Layers into Analysis of Masked Language Models

Analyzing Feed-Forward Blocks in Transformers through the Lens of Attention Map


[ICLR'24] Mitigating Hallucination in Large Multi-Modal Models via Robust Instruction Tuning

Visual Genome: Connecting Language and Vision Using Crowdsourced Dense Image Annotations

Evaluating Object Hallucination in Large Vision-Language Models

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

MMC: Advancing Multimodal Chart Understanding with Large-scale Instruction Tuning


Implementations of reinforcement learning algorithms

Searching for Programmatic Policies in Semantic Spaces

A Competition Winning Deep Reinforcement Learning Agent in microRTS


Official implementation for Likelihood Regret: An Out-of-Distribution Detection Score For Variational Auto-encoder at NeurIPS 2020

Likelihood Ratios for Out-of-Distribution Detection

Unsupervised Out-of-Distribution Detection with Diffusion Inpainting

Robust Out-of-Distribution Detection on Deep Probabilistic Generative Models


Pipeline for generate Ks plots of transcriptome data.

A chromosome-scale genome sequence of pitaya (Hylocereus undatus) provides novel insights into the genome evolution and regulation of betalain biosynthesis

Phylogeny and Multiple Independent Whole-Genome Duplication Events in the Brassicales

Chromosome-level genome assembly of bunching onion illuminates genome evolution and flavor formation in Allium crops

Retrotransposon Proliferation Coincident with the Evolution of Dioecy in Asparagus

Genome Sequencing of Pleurozium schreberi: The Assembled and Annotated Draft Genome of a Pleurocarpous Feather Moss


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

SURF: Semi-supervised Reward Learning with Data Augmentation for Feedback-efficient Preference-based Reinforcement Learning

Reward Uncertainty for Exploration in Preference-based Reinforcement Learning

Efficient Preference-based Reinforcement Learning via Aligned Experience Estimation


Learning Framework for Neural Abstractive Text Summarization

Neural Abstractive Text Summarization with Sequence-to-Sequence Models

LeafNATS: An Open-Source Toolkit and Live Demo System for Neural Abstractive Text Summarization

Abstractive Document Summarization with Word Embedding Reconstruction

Recent Advances in Natural Language Processing


Erasing Concepts from Diffusion Models

Safe Latent Diffusion: Mitigating Inappropriate Degeneration in Diffusion Models

Can Machines Help Us Answering Question 16 in Datasheets, and In Turn Reflecting on Inappropriate Content?

Towards Safe Self-Distillation of Internet-Scale Text-to-Image Diffusion Models

UnsafeBench: Benchmarking Image Safety Classifiers on Real-World and AI-Generated Images