BARTScore: Evaluating Generated Text as Text Generation

Evaluating Attribution in Dialogue Systems: The BEGIN Benchmark

Human-like Summarization Evaluation with ChatGPT

AlignScore: Evaluating Factual Consistency with A Unified Alignment Function

On the Blind Spots of Model-Based Evaluation Metrics for Text Generation

WebBrain: Learning to Generate Factually Correct Articles for Queries by
  Grounding on Large Web Corpus

Multimedia Generative Script Learning for Task Planning

Generation-Focused Table-Based Intermediate Pre-training for Free-Form Question Answering

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

BLEURT Has Universal Translations: An Analysis of Automatic Metrics by Minimum Risk Training

SciMON: Scientific Inspiration Machines Optimized for Novelty


R package for pre-processing of mass and flow cytometry data

Dynamic CD8+ T cell responses to cancer immunotherapy in human regional lymph nodes are disrupted in metastatic lymph nodes

Immune cell repertoires in breast cancer patients after adjuvant chemotherapy

Comparative immune profiling of acute respiratory distress syndrome patients with or without SARS-CoV-2 infection

In vivo killing of primary HIV-infected cells by peripheral-injected early memory–enriched anti-HIV duoCAR T cells

Mass cytometry reveals a conserved immune trajectory of recovery in hospitalized COVID-19 patients

CytofIn enables integrated analysis of public mass cytometry datasets using generalized anchors

Data processing workflow for large-scale immune monitoring studies by mass cytometry

Computational and structural biotechnology journal

High-dimensional immunotyping of tumors grown in obese and non-obese mice

Phenotypic Characterization by Mass Cytometry of the Microenvironment in Ovarian Cancer and Impact of Tumor Dissociation Methods

Gestationally-Dependent Immune Organization at the Maternal-Fetal Interface


Code for our ICLR'2021 paper "DrNAS: Dirichlet Neural Architecture Search"

Rapid Neural Architecture Search by Learning to Generate Graphs from Datasets

Task-Adaptive Neural Network Search with Meta-Contrastive Learning

Robustifying DARTS by Eliminating Information Bypass Leakage via Explicit Sparse Regularization

Delve into the Performance Degradation of Differentiable Architecture Search

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


Public collection of firewall dumps.

Verified iptables Firewall Analysis and Verification

Agile Network Access Control in the Container Age

IEEE transactions on network and service management/IEEE eTransactions on network and service management

Semantics-Preserving Simplification of Real-World Firewall Rule Sets

Merging Compilation and Microarchitectural Configuration Spaces for Performance/Power Optimization in VLIW-Based Systems

Directed Security Policies: A Stateful Network Implementation

Continuous Verification of Network Security Compliance

Certifying Spoofing-Protection of Firewalls

Conference on Network and Service Management

Provably Secure Networks: Methodology and Toolset for Configuration
  Management


ShapeGlot: Learning Language for Shape Differentiation

PartGlot: Learning Shape Part Segmentation from Language Reference Games

LADIS: Language Disentanglement for 3D Shape Editing


Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks

StackGAN++: Realistic Image Synthesis with Stacked Generative Adversarial Networks

AttnGAN: Fine-Grained Text to Image Generation with Attentional Generative Adversarial Networks

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

Generating Multiple Objects at Spatially Distinct Locations

On the Evaluation of Conditional GANs

Visual-Relation Conscious Image Generation from Structured-Text

Txt2Img-MHN: Remote Sensing Image Generation From Text Using Modern Hopfield Networks

Leveraging Visual Question Answering to Improve Text-to-Image Synthesis

Obj-GloVe: Scene-Based Contextual Object Embedding


This repository provides code for "On Interaction Between Augmentations and Corruptions in Natural Corruption Robustness".

Benchmarking Neural Network Robustness to Common Corruptions and Perturbations

ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness

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

Increasing the robustness of DNNs against image corruptions by playing the Game of Noise

Improving Robustness Without Sacrificing Accuracy with Patch Gaussian Augmentation

Confidence and Dispersity Speak: Characterising Prediction Matrix for
  Unsupervised Accuracy Estimation


State-of-the-art LLM-based translation models.

A Paradigm Shift in Machine Translation: Boosting Translation
  Performance of Large Language Models

Contrastive Preference Optimization: Pushing the Boundaries of LLM
  Performance in Machine Translation


Kippo - SSH Honeypot

A Survey on Honeypot Software and Data Analysis

A Survey of Honeypots and Honeynets for Internet of Things, Industrial Internet of Things, and Cyber-Physical Systems

IoT Vulnerability Assessment for Sustainable Computing: Threats, Current Solutions, and Open Challenges

Enhancing Honeypot Deception Capability Through Network Service Fingerprinting

Attacker Behaviour Forecasting Using Methods of Intelligent Data Analysis: A Comparative Review and Prospects

Living in the Dark: MQTT-Based Exploitation of IoT Security Vulnerabilities in ZigBee Networks for Smart Lighting Control

Evaluating Deception and Moving Target Defense with Network Attack Simulation

Proceedings of the 9th ACM Workshop on Moving Target Defense

Cloud Watching: Understanding Attacks Against Cloud-Hosted Services

Proceedings of the 2023 ACM on Internet Measurement Conference

Reduce positive and negative falses from attacks collected from the
  deployment of distributed honeypot network


Use of Attention Gates in a Convolutional Neural Network / Medical Image Classification and Segmentation

Attention U-Net: Learning Where to Look for the Pancreas

Attention gated networks: Learning to leverage salient regions in medical images

Inf-Net: Automatic COVID-19 Lung Infection Segmentation from CT Images

Attention-Gated Networks for Improving Ultrasound Scan Plane Detection

SAR-U-Net: Squeeze-and-excitation block and atrous spatial pyramid pooling based residual U-Net for automatic liver segmentation in Computed Tomography

CHS-Net: A Deep learning approach for hierarchical segmentation of COVID-19 infected CT images


The official implementation of "Distilling Relation Embeddings from Pre-trained Language Models, EMNLP 2021 main conference", a high-quality relation embedding based on language models.

pair2vec: Compositional Word-Pair Embeddings for Cross-Sentence Inference


StyleGAN2 - Official TensorFlow Implementation

Analyzing and Improving the Image Quality of StyleGAN

Diffusion Models Beat GANs on Image Synthesis

Training Generative Adversarial Networks with Limited Data

CNN-generated images are surprisingly easy to spot... for now

Differentiable Augmentation for Data-Efficient GAN Training

What makes fake images detectable? Understanding properties that generalize

EditGAN: High-Precision Semantic Image Editing

A Good Image Generator Is What You Need for High-Resolution Video Synthesis

Adversarial Generation of Continuous Images

StyleGAN2 Distillation for Feed-forward Image Manipulation


The Majority Can Help the Minority: Context-rich Minority Oversampling for Long-tailed Classification

CUDA: Curriculum of Data Augmentation for Long-Tailed Recognition


A Capsule Network-based framework for identification of COVID-19 cases from chest X-ray Images

COVID-CAPS: A capsule network-based framework for identification of COVID-19 cases from X-ray images

COVID-19 open source data sets: a comprehensive survey

A Survey on Applications of Artificial Intelligence in Fighting Against COVID-19


RISC-V Instruction Set Extensions for Lightweight Symmetric Cryptography

IACR transactions on cryptographic hardware and embedded systems

Review of the NIST Light-weight Cryptography Finalists

An Evaluation of the Multi-platform Efficiency of Lightweight Cryptographic Permutations

Lightweight Permutation-Based Cryptography for the Ultra-Low-Power Internet of Things


Code for our ICCV 2019 paper PANet: Few-Shot Image Semantic Segmentation with Prototype Alignment

Self-Supervision with Superpixels: Training Few-shot Medical Image Segmentation without Annotation

Integrative Few-Shot Learning for Classification and Segmentation

Dual Prototypical Contrastive Learning for Few-shot Semantic Segmentation


Official pytorch implementation for "Video Panoptic Segmentation" (CVPR 2020 Oral)

Video Panoptic Segmentation

Hybrid Tracker with Pixel and Instance for Video Panoptic Segmentation

Dense Pixel-Level Interpretation of Dynamic Scenes With Video Panoptic Segmentation

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


A curated list of awesome resources related to executable packing

A comparative assessment of malware classification using binary texture analysis and dynamic analysis

OPEM: A Static-Dynamic Approach for Machine-Learning-Based Malware Detection

INTERNATIONAL JOINT CONFERENCE CISIS'12 - ICEUTE'12 - SOCO'12 SPECIAL SESSIONS

Binary-code obfuscations in prevalent packer tools

DexHunter: Toward Extracting Hidden Code from Packed Android Applications

Semi-supervised Learning for Unknown Malware Detection

International Symposium on Distributed Computing and Artificial Intelligence

A Static, Packer-Agnostic Filter to Detect Similar Malware Samples

AppSpear: Bytecode Decrypting and DEX Reassembling for Packed Android Malware

Entropy analysis to classify unknown packing algorithms for malware detection

International journal of information security

Towards Paving the Way for Large-Scale Windows Malware Analysis: Generic Binary Unpacking with Orders-of-Magnitude Performance Boost

PROCEEDINGS OF THE 2018 ACM SIGSAC CONFERENCE ON COMPUTER AND COMMUNICATIONS SECURITY (CCS'18)

VMAttack: Deobfuscating Virtualization-Based Packed Binaries

PROCEEDINGS OF THE 12TH INTERNATIONAL CONFERENCE ON AVAILABILITY, RELIABILITY AND SECURITY (ARES 2017)


FGVCx Fungi Classfiication competition details

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

Danish Fungi 2020 – Not Just Another Image Recognition Dataset

Meta-Learning for Few-Shot Plant Disease Detection

TinyTrain: Deep Neural Network Training at the Extreme Edge

MetaKernel: Learning Variational Random Features with Limited Labels

Confusable Learning for Large-class Few-Shot Classification


Adversarial Robustness for Code

Do Machine Learning Models Produce TypeScript Types that Type Check?

Advanced Graph-Based Deep Learning for Probabilistic Type Inference

Deep Learning for Code Intelligence: Survey, Benchmark and Toolkit


node2vec implementation in C++

node2vec: Scalable Feature Learning for Networks

VERSE: Versatile Graph Embeddings from Similarity Measures

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

Massively Parallel Graph Drawing and Representation Learning


Python Package to calculate Cliff's delta

Lags in the release, adoption, and propagation of npm vulnerability fixes

Including Everyone, Everywhere: Understanding Opportunities and Challenges of Geographic Gender-Inclusion in OSS

IEEE transactions on software engineering

Clones in deep learning code: what, where, and why?

Giving Back: Contributions Congruent to Library Dependency Changes in a Software Ecosystem

Grading 600+ students: A Case Study on Peer and Self Grading

Zenodo (CERN European Organization for Nuclear Research)

Understanding the role of external pull requests in the NPM ecosystem


This project is an initiative to make indoor positioning by using Raspberry Pi, .NET Core and Windows 10 IoT Core for the project lesson (SWE599) in my master program at Bogaziçi University.

A comparative study on machine learning algorithms for indoor positioning

International Symposium on Innovations in Intelligent SysTems and Applications

A Machine Learning Approach for Specification of Spinal Cord Injuries Using Fractional Anisotropy Values Obtained from Diffusion Tensor Images

Computational and mathematical methods in medicine

A deep learning approach to fingerprinting indoor localization solutions

International Telecommunication Networks and Applications Conference


The ANI-1ccx and ANI-1x data sets, coupled-cluster and density functional theory properties for organic molecules.

Less is more: sampling chemical space with active learning

Approaching coupled cluster accuracy with a general-purpose neural network potential through transfer learning

Accurate and Transferable Multitask Prediction of Chemical Properties with an Atoms-in-Molecule Neural Network

The ANI-1ccx and ANI-1x Data Sets, Coupled-Cluster and Density Functional Theory Properties for Molecules


RDP extensible sequence classifier for fungal lsu, bacterial and archaeal 16s

A distinct bacterial dysbiosis associated skin inflammation in ovine footrot

CNN_FunBar: Advanced Learning Technique for Fungi ITS Region Classification

Rapid and accurate taxonomic classification of cpn60 amplicon sequence variants


Node Embeddings in Dynamic Graphs

Node embeddings in dynamic graphs

Temporal walk based centrality metric for graph streams

FILDNE: A Framework for Incremental Learning of Dynamic Networks Embeddings

Predicting partially observed processes on temporal networks by Dynamics-Aware Node Embeddings (DyANE)


Automatic mapping of compiled circuits to low-noise sub-graphs

Suppressing Quantum Circuit Errors Due to System Variability

Characterizing quantum processors using discrete time crystals

Quantum Variational Rewinding for Time Series Anomaly Detection

Distributed Scheduling of Quantum Circuits with Noise and Time
  Optimization

Quantum Simulation on Noisy Superconducting Quantum Computers


Artefact for "CoCoNuT: Combining Context-Aware Neural Translation Models using Ensemble for Program Repair."

CoCoNuT: combining context-aware neural translation models using ensemble for program repair

International Symposium on Software Testing and Analysis

A Survey of Learning-based Automated Program Repair

CIRCLE: Continual Repair across Programming Languages

A Survey on Automated Program Repair Techniques


Entity Abstraction in Visual Model-Based Reinforcement Learning

Physion: Evaluating Physical Prediction from Vision in Humans and Machines

GATSBI: Generative Agent-centric Spatio-temporal Object Interaction


An Unsupervised Distance Learning Framework for Multimedia Retrieval

Multimedia Retrieval Through Unsupervised Hypergraph-Based Manifold Ranking

A BFS-Tree of ranking references for unsupervised manifold learning

Efficient Rank-Based Diffusion Process with Assured Convergence

Rank Flow Embedding for Unsupervised and Semi-Supervised Manifold Learning


Detection and segmentation of the Left Ventricle in Cardiac MRI using Deep Learning and Deformable models

A combined deep-learning and deformable-model approach to fully automatic segmentation of the left ventricle in cardiac MRI

Intelligent Health Care: Applications of Deep Learning in Computational Medicine


Code used in the lifespan brainchart project

Brain charts for the human lifespan

A Paradigm Shift in Neuroscience Driven by Big Data: State of art,
  Challenges, and Proof of Concept


Unsorted scripts for bioinformatics

Sequencing abasic sites in DNA at single-nucleotide resolution

ATRX promotes heterochromatin formation to protect cells from G-quadruplex DNA-mediated stress

SOX2 regulates common and specific stem cell features in the CNS and endoderm derived organs

DNA sequence-dependent formation of heterochromatin nanodomains


Compare neural networks by their feature similarity

Swin Transformer: Hierarchical Vision Transformer using Shifted Windows

Do Vision Transformers See Like Convolutional Neural Networks?

Do Wide and Deep Networks Learn the Same Things? Uncovering How Neural Network Representations Vary with Width and Depth

FedAvg with Fine Tuning: Local Updates Lead to Representation Learning

A Closer Look at Self-Supervised Lightweight Vision Transformers

BYOL-S: Learning Self-supervised Speech Representations by Bootstrapping

Understanding Why ViT Trains Badly on Small Datasets: An Intuitive
  Perspective

On the special role of class-selective neurons in early training


Transformer-based image captioning extension for pytorch/fairseq

Show, Attend and Tell: Neural Image Caption Generation with Visual Attention

Self-critical Sequence Training for Image Captioning

Linking Emergent and Natural Languages via Corpus Transfer


An open-source codebase for exploring autonomous driving pre-training

Uni3D: A Unified Baseline for Multi-dataset 3D Object Detection

Bi3D: Bi-domain Active Learning for Cross-domain 3D Object Detection

AD-PT: Autonomous Driving Pre-Training with Large-scale Point Cloud
  Dataset

SPOT: Scalable 3D Pre-training via Occupancy Prediction for Autonomous
  Driving

SUG: Single-dataset Unified Generalization for 3D Point Cloud Classification

ReSimAD: Zero-Shot 3D Domain Transfer for Autonomous Driving with Source
  Reconstruction and Target Simulation


A toolkit for analyzing and visualizing phylogenetic (placement) data

Genesis and Gappa: processing, analyzing and visualizing phylogenetic (placement) data

Scalable methods for analyzing and visualizing phylogenetic placement of metagenomic samples

Methods for automatic reference trees and multilevel phylogenetic placement

From microbial community structure to metabolic inference using paprica


ImVisible: Pedestrian Traffic Light (PTL) Dataset, Lightweight CNN (LytNet), and Mobile Application for the Visually Impaired (CAIP '19, ICCV Workshops '19)

A Systematic Review of Urban Navigation Systems for Visually Impaired People

Street Crossing Aid Using Light-weight CNNs for the Visually Impaired

LYTNet: A Convolutional Neural Network for Real-Time Pedestrian Traffic Lights and Zebra Crossing Recognition for the Visually Impaired


Untangling in Invariant Speech Recognition

Neural Population Geometry Reveals the Role of Stochasticity in Robust
  Perception

Probing Biological and Artificial Neural Networks with Task-dependent
  Neural Manifolds


DeMoN: Depth and Motion Network

DeMoN: Depth and Motion Network for Learning Monocular Stereo

DPSNet: End-to-end Deep Plane Sweep Stereo

MVDepthNet: Real-time Multiview Depth Estimation Neural Network

MVS^2: Deep Unsupervised Multi-view Stereo with Multi-View Symmetry


Sentiment analysis in Pytorch on an IMDb dataset.

Attention Is All You Need

Convolutional Neural Networks for Sentence Classification

Universal Language Model Fine-tuning for Text Classification

Supervised Learning of Universal Sentence Representations from Natural Language Inference Data


Phylogenetic analysis of multi-species genome sequence alignments to identify conserved protein-coding regions

Non-coding RNAs and Their Roles in Stress Response in Plants

基因组蛋白质组与生物信息学报

Advances in long noncoding RNAs: identification, structure prediction and function annotation

Retraction Note to: Decreased expression of the long noncoding RNA LINC00261 indicate poor prognosis in gastric cancer and suppress gastric cancer metastasis by affecting the epithelial–mesenchymal transition

Evolutionary Dynamics of Abundant Stop Codon Readthrough

Analysis of Soybean Long Non-Coding RNAs Reveals a Subset of Small Peptide-Coding Transcripts1[OPEN]

LncRNA ADAMTS9-AS2 inhibits cell proliferation and decreases chemoresistance in clear cell renal cell carcinoma via the miR-27a-3p/FOXO1 axis

Discovery of high-confidence human protein-coding genes and exons by whole-genome PhyloCSF helps elucidate 118 GWAS loci

A high-content RNAi screen reveals multiple roles for long noncoding RNAs in cell division

Long Non-Coding RNAs, the Dark Matter: An Emerging Regulatory Component in Plants

International journal of molecular sciences

Circular RNAs in the cardiovascular system


perl cworld module and collection of utility/analysis scripts for C data (3C, 4C, 5C, Hi-C)

A chromosome folding intermediate at the condensin-to-cohesin transition during telophase

4D Genome Rewiring during Oncogene-Induced and Replicative Senescence

CTCF sites display cell cycle–dependent dynamics in factor binding and nucleosome positioning

The non-canonical SMC protein SmcHD1 antagonises TAD formation and compartmentalisation on the inactive X chromosome

HiC-spector: a matrix library for spectral and reproducibility analysis of Hi-C contact maps

Hi-C analysis: from data generation to integration

Differential contribution of steady-state RNA and active transcription in chromatin organization

Single-cell measurement of higher-order 3D genome organization with scSPRITE

Orientation-dependent Dxz4 contacts shape the 3D structure of the inactive X chromosome

Megadomains and superloops form dynamically but are dispensable for X-chromosome inactivation and gene escape


Generative Adversarial Network (GAN) for physically realistic enrichment of turbulent flow fields

Generative Adversarial Networks

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

Physics Informed Deep Learning (Part I): Data-driven Solutions of Nonlinear Partial Differential Equations

Parametrization and generation of geological models with generative adversarial networks

Turbulence Enrichment using Generative Adversarial Networks


Toolbox for Bayesian inference for psychometric functions

Asymmetrical interference between number and item size perception provides evidence for a domain specific impairment in dyscalculia

Auditory processing remains sensitive to environmental experience during adolescence in a rodent model

Speech intelligibility of simulated hearing loss sounds and its prediction using the Gammachirp Envelope Similarity Index (GESI)

Response outcome gates the effect of spontaneous cortical state fluctuations on perceptual decisions

Effective data screening technique for crowdsourced speech intelligibility experiments: Evaluation with IRM-based speech enhancement

Increments in visual motion coherence are more readily detected than decrements

Corrective feedback guides human perceptual decision-making by informing about the world state rather than rewarding its choice

Resources Underlying Visuo-Spatial Working Memory Enable Veridical Large Numerosity Perception


ProphetNet: Predicting Future N-gram for Sequence-to-Sequence Pre-training

Adversarial Retriever-Ranker for dense text retrieval

LED: Lexicon-Enlightened Dense Retriever for Large-Scale Retrieval

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

Soft-Labeled Contrastive Pre-training for Function-level Code
  Representation

CodeRetriever: A Large Scale Contrastive Pre-Training Method for Code Search

EmbedDistill: A Geometric Knowledge Distillation for Information
  Retrieval


Causal Effect Inference with Deep Latent-Variable Models

A Survey on Causal Inference

A Unified Survey of Treatment Effect Heterogeneity Modelling and Uplift Modelling

Deep End-to-end Causal Inference

Selective Regression Under Fairness Criteria

Estimation of Individual Treatment Effect in Latent Confounder Models via Adversarial Learning.

CausCF: Causal Collaborative Filtering for RecommendationEffect Estimation

Causal Reasoning in the Presence of Latent Confounders via Neural ADMG
  Learning

Disentangled Representation for Causal Mediation Analysis

How to select predictive models for causal inference?


Conducting and Visualizing Specification Curve Analyses

Neural indicators of food cue reactivity, regulation, and valuation and their associations with body composition and daily eating behavior

Social cognitive and affective neuroscience

Investigating Associations Between Screen Time and Symptomatology in Individuals With Serious Mental Illness: Longitudinal Observational Study

Mindsets of conspiracy: A typology of affinities towards conspiracy myths in digital environments

Convergence: The International Journal of Research into New Media Technologies

Beyond Screen Time: Exploring the Associations between Types of Smartphone Use Content and Adolescents’ Social Relationships

International journal of environmental research and public health


Implementations of heuristics for the Max-cut and QUBO problems in C++

Benchmark of quantum-inspired heuristic solvers for quadratic unconstrained binary optimization

A simple iterative algorithm for maxcut

Multi-Purchase Behavior: Modeling and Optimization

FastHare: Fast Hamiltonian Reduction for Large-scale Quantum Annealing

An Experimental Evaluation of Semidefinite Programming and Spectral Algorithms for Max Cut


[IJCAI-2021] Contrastive Model Inversion for Data-Free Knowledge Distillation

Knowledge Distillation with the Reused Teacher Classifier

Learning to Retain while Acquiring: Combating Distribution-Shift in Adversarial Data-Free Knowledge Distillation

Dynamic data-free knowledge distillation by easy-to-hard learning strategy

Revisiting Data-Free Knowledge Distillation with Poisoned Teachers


The Business Scene Dialogue corpus

Overview of the 8th Workshop on Asian Translation

Overview of the 7th Workshop on Asian Translation

Designing the Business Conversation Corpus

Overview of the 9th Workshop on Asian Translation

Document-aligned Japanese-English Conversation Parallel Corpus

Improving NMT via Filtered Back Translation


PyTorch Implementation of Google Brain's WaveGrad 2: Iterative Refinement for Text-to-Speech Synthesis

WaveGrad: Estimating Gradients for Waveform Generation

End-to-End Adversarial Text-to-Speech


Encoding physics to learn reaction-diffusion processes

Deep Spatio-Temporal Residual Networks for Citywide Crowd Flows Prediction

Deep Hidden Physics Models: Deep Learning of Nonlinear Partial Differential Equations

PDE-Net: Learning PDEs from Data


Official PyTorch implementation of "Uncertainty-Based Offline Reinforcement Learning with Diversified Q-Ensemble" (NeurIPS'21)

CORL: Research-oriented Deep Offline Reinforcement Learning Library

Offline RL With Realistic Datasets: Heteroskedasticity and Support
  Constraints


Visualizer for neural network, deep learning and machine learning models

Smart Pothole Detection Using Deep Learning Based on Dilated Convolution

Net2Vis – A Visual Grammar for Automatically Generating Publication-Tailored CNN Architecture Visualizations

IEEE transactions on visualization and computer graphics

Automated Machine Learning for High-Throughput Image-Based Plant Phenotyping

Smart at what cost? Characterising Mobile Deep Neural Networks in the wild

IntelliO3-ts v1.0: a neural network approach to predict near-surface ozone concentrations in Germany

HumBugDB: A Large-scale Acoustic Mosquito Dataset

Improving the Actuation Speed and Multi-Cyclic Actuation Characteristics of Silicone/Ethanol Soft Actuators

ModelHub.AI: Dissemination Platform for Deep Learning Models

A Visual Programming Paradigm for Abstract Deep Learning Model Development

Unsupervised Video Domain Adaptation for Action Recognition: A
  Disentanglement Perspective


Knowledge Distillation for Multi-task Learning (ECCV20 Workshops)

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

End-to-End Multi-Task Learning with Attention

Multi-Task Learning as Multi-Objective Optimization


Machine-readable Wiktionary

Watset: Automatic Induction of Synsets from a Graph of Synonyms

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

Multilingual ontology matching based on Wiktionary data accessible via SPARQL endpoint

YARN: Spinning-in-Progress

Watset: Local-Global Graph Clustering with Applications in Sense and Frame Induction

Computational linguistics - Association for Computational Linguistics

The comparison of Wiktionary thesauri transformed into the machine-readable format

Evaluating a Multi-sense Definition Generation Model for Multiple Languages

Calculated attributes of synonym sets


Connectome Computation System

Shifting gradients of macroscale cortical organization mark the transition from childhood to adolescence

Individual Variability and Test-Retest Reliability Revealed by Ten Repeated Resting-State Brain Scans over One Month

Assessing Variations in Areal Organization for the Intrinsic Brain: From Fingerprints to Reliability

Temporal stability of functional brain modules associated with human intelligence

Charting brain growth in tandem with brain templates at school age

Impact of concatenating fMRI data on reliability for functional connectomics

Fluctuations between high- and low-modularity topology in time-resolved functional connectivity

Anxiety correlates with cortical surface area in subjective cognitive decline: APOE ε4 carriers versus APOE ε4 non-carriers

Moving Beyond Processing and Analysis-Related Variation in Neuroscience

Mind-Body Practice Changes Fractional Amplitude of Low Frequency Fluctuations in Intrinsic Control Networks


Open-source implementation of the BilBOWA (Bilingual Bag-of-Words without Alignments) word embedding model.

BilBOWA: Fast Bilingual Distributed Representations without Word Alignments

Bilingual Distributed Word Representations from Document-Aligned Comparable Data

On the Role of Seed Lexicons in Learning Bilingual Word Embeddings

PROCEEDINGS OF THE 54TH ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS, VOL 1

Multi-Modal Representations for Improved Bilingual Lexicon Learning

Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)

BUCC 2017 Shared Task: a First Attempt Toward a Deep Learning Framework for Identifying Parallel Sentences in Comparable Corpora

Linking Tweets with Monolingual and Cross-Lingual News using Transformed Word Embeddings


A PyTorch implementation of "Continuous Relaxation Training of Discrete Latent Variable Image Models"

Robust Training of Vector Quantized Bottleneck Models

I Don't Need u: Identifiable Non-Linear ICA Without Side Information

Unsupervised representation learning with recognition-parametrised
  probabilistic models


Wide Residual Networks (WideResNets) in PyTorch

Wide Residual Networks

Towards Explaining the Regularization Effect of Initial Large Learning Rate in Training Neural Networks

How Does Learning Rate Decay Help Modern Neural Networks

Evaluation of Neural Architectures Trained with Square Loss vs Cross-Entropy in Classification Tasks

Data-dependent Sample Complexity of Deep Neural Networks via Lipschitz Augmentation

FreezeOut: Accelerate Training by Progressively Freezing Layers

Improved Sample Complexities for Deep Networks and Robust Classification via an All-Layer Margin

MultiplexNet: Towards Fully Satisfied Logical Constraints in Neural Networks

Backbones-Review: Feature Extraction Networks for Deep Learning and Deep
  Reinforcement Learning Approaches

Rare Gems: Finding Lottery Tickets at Initialization


Automatically exported from code.google.com/p/jmodeltest2

The first two cases of 2019-nCoV in Italy: Where they come from?

Evolutionary analysis of SARS-CoV-2: how mutation of Non-Structural Protein 6 (NSP6) could affect viral autophagy

The global spread of 2019-nCoV: a molecular evolutionary analysis

Genomic Epidemiology Reconstructs the Introduction and Spread of Zika Virus in Central America and Mexico

Global radiation in a rare biosphere soil diatom

A doubt of multiple introduction of SARS‐CoV‐2 in Italy: A preliminary overview

Distinct Zika Virus Lineage in Salvador, Bahia, Brazil

The Pacific Rat Race to Easter Island: Tracking the Prehistoric Dispersal of Rattus exulans Using Ancient Mitochondrial Genomes

Genetic Evidence and Host Immune Response in Persons Reinfected with SARS-CoV-2, Brazil

Disentangling Phylogenetic Relationships in a Hotspot of Diversity: The Butterworts (Pinguicula L., Lentibulariaceae) Endemic to Italy


Pytorch implementation of four neural network based domain adaptation techniques: DeepCORAL, DDC, CDAN and CDAN+E. Evaluated on benchmark dataset Office31.

Deep Domain Confusion: Maximizing for Domain Invariance

Conditional Adversarial Domain Adaptation

Evaluation of Deep Neural Network Domain Adaptation Techniques for Image Recognition


Few-shot Learning of GPT-3

Calibrate Before Use: Improving Few-Shot Performance of Language Models

kNN Prompting: Beyond-Context Learning with Calibration-Free Nearest
  Neighbor Inference

Prototypical Calibration for Few-shot Learning of Language Models

Towards Informative Few-Shot Prompt with Maximum Information Gain for In-Context Learning


Learning to Adapt Structured Output Space for Semantic Segmentation, CVPR 2018 (spotlight)

Adversarial Learning for Semi-Supervised Semantic Segmentation

No More Discrimination: Cross City Adaptation of Road Scene Segmenters

Domain Adaptation for Structured Output via Discriminative Patch Representations

Domain adaptation based self-correction model for COVID-19 infection segmentation in CT images

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

Self-Ensembling GAN for Cross-Domain Semantic Segmentation

Bidirectional Domain Mixup for Domain Adaptive Semantic Segmentation

Rethinking Unsupervised Domain Adaptation for Semantic Segmentation


This is the reference implementation of commonly used coreference metrics.

Event Coreference Resolution by Iteratively Unfolding Inter-dependencies among Events

DWIE: an entity-centric dataset for multi-task document-level
  information extraction

Joint Inference for Event Coreference Resolution

International Conference on Computational Linguistics

Multi-source annotation projection of coreference chains: assessing strategies and testing opportunities

Proceedings of the 2nd Workshop on Coreference Resolution Beyond
          OntoNotes (CORBON 2017)

Multilingual Coreference Resolution with Harmonized Annotations

CORBON 2017 Shared Task: Projection-Based Coreference Resolution

Event co-reference resolution via a multi-loss neural network without using argument information

CEREC: A Corpus for Entity Resolution in Email Conversations

Capturing the Content of a Document through Complex Event Identification

Proceedings of the 11th Joint Conference on Lexical and Computational Semantics


A curated list of Federated Learning papers/articles and recent advancements.

Dissecting racial bias in an algorithm used to manage the health of populations

Robust and Communication-Efficient Federated Learning from Non-IID Data

Large-Scale Assessment of a Smartwatch to Identify Atrial Fibrillation

Communication-Efficient Federated Deep Learning With Layerwise Asynchronous Model Update and Temporally Weighted Aggregation

IEEE transactions on neural networks and learning systems

Multi-objective Evolutionary Federated Learning

Ternary Compression for Communication-Efficient Federated Learning

Efficient and Privacy-Preserving Online Medical Prediagnosis Framework Using Nonlinear SVM

IEEE journal of biomedical and health informatics

A Systematic Literature Review on Security and Privacy of Electronic Health Record Systems: Technical Perspectives

Health information management journal/Health information management

Privacy-preserving Federated Deep Learning for Wearable IoT-based Biomedical Monitoring

Molecular property prediction: recent trends in the era of artificial intelligence


Source Code for IJCAI 2018 paper "Scalable Multiplex Network Embedding"

Representation Learning for Attributed Multiplex Heterogeneous Network

Multilayer network simplification: approaches, models and methods

Multiplex Heterogeneous Graph Convolutional Network

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

MultiVERSE: a multiplex and multiplex-heterogeneous network embedding approach


[AAAI-2021, TKDE-2023] Official implementation for "Cross-Layer Distillation with Semantic Calibration".

SemCKD: Semantic Calibration for Cross-Layer Knowledge Distillation

IEEE transactions on knowledge and data engineering

Distilling and Transferring Knowledge via cGAN-generated Samples for
  Image Classification and Regression


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


Tensorflow Keras implementation of ordinal regression using consistent rank logits (CORAL) by Cao et al. (2019)

Rank consistent ordinal regression for neural networks with application to age estimation

Constructing interval variables via faceted Rasch measurement and multitask deep learning: a hate speech application

Deep neural networks for rank-consistent ordinal regression based on conditional probabilities


An R package for acquisition and processing of NASA SMAP data


Coach: A Coarse-to-Fine Approach for Cross-domain Slot Filling (ACL-2020)

Snips Voice Platform: an embedded Spoken Language Understanding system for private-by-design voice interfaces

Towards Zero-Shot Frame Semantic Parsing for Domain Scaling

Robust Zero-Shot Cross-Domain Slot Filling with Example Values


Imbalanced learning tool for imbalanced recognition and segmentation

Improving Calibration for Long-Tailed Recognition

Parametric Contrastive Learning

Vision GNN: An Image is Worth Graph of Nodes

ResLT: Residual Learning for Long-tailed Recognition

Understanding Imbalanced Semantic Segmentation Through Neural Collapse

Generalized Parametric Contrastive Learning

Region Rebalance for Long-Tailed Semantic Segmentation

Rebalanced Siamese Contrastive Mining for Long-Tailed Recognition


Discriminative and Robust Online Learning for Siamese Visual Tracking (AAAI 2020)

Fully-Convolutional Siamese Networks for Object Tracking

SiamRPN++: Evolution of Siamese Visual Tracking with Very Deep Networks

Fast Online Object Tracking and Segmentation: A Unifying Approach


Scaling and Benchmarking Self-Supervised Visual Representation Learning

Gibson Env: Real-World Perception for Embodied Agents

A Survey of Deep Learning for Scientific Discovery

VisualEchoes: Spatial Image Representation Learning through Echolocation


Proximal Policy Optimization Algorithms

Addressing Function Approximation Error in Actor-Critic Methods

AMP

Clipped-Objective Policy Gradients for Pessimistic Policy Optimization


The Green AI Standard aims to develop a standard and raise awareness for best environmental practices in AI research and development


Equivariant Subgraph Aggregation Networks (ICLR 2022 Spotlight)

Agent-based Graph Neural Networks

State of the Art and Potentialities of Graph-level Learning

Asynchronous Neural Networks for Learning in Graphs


List of surgical tool datasets organised by task.

Kvasir-Instrument: Diagnostic and therapeutic tool segmentation dataset in gastrointestinal endoscopy

Data-Driven Visual Tracking in Retinal Microsurgery

Medical Image Computing and Computer-Assisted Intervention

Cataract-101-Video Dataset of 101 Cataract Surgeries

PROCEEDINGS OF THE 9TH ACM MULTIMEDIA SYSTEMS CONFERENCE (MMSYS'18)

Robotic Endoscope Control Via Autonomous Instrument Tracking


2013 IEEE CEC Competition on Niching Methods for Multimodal Optimization

A Review of Evolutionary Multimodal Multiobjective Optimization

IEEE transactions on evolutionary computation

Simple gravitational particle swarm algorithm for multimodal optimization problems

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

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


An improvement-based Deep Reinforcement Learning Algorithm presented in paper https://arxiv.org/abs/1912.05784v2 for solving the TSP problem.

Learning Improvement Heuristics for Solving Routing Problems

Learning to Iteratively Solve Routing Problems with Dual-Aspect Collaborative Transformer

Online Planning in POMDPs with Self-Improving Simulators


An Architecture Combining Convolutional Neural Network (CNN) and Linear Support Vector Machine (SVM) for Image Classification

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

Deep Learning using Linear Support Vector Machines

A Neural Network Architecture Combining Gated Recurrent Unit (GRU) and Support Vector Machine (SVM) for Intrusion Detection in Network Traffic Data

PROCEEDINGS OF 2018 10TH INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND COMPUTING (ICMLC 2018)

An Architecture Combining Convolutional Neural Network (CNN) and Support Vector Machine (SVM) for Image Classification


A curated list of grounding natural language in video and related area. :-)

Jointly Cross- and Self-Modal Graph Attention Network for Query-Based Moment Localization

Fine-grained Iterative Attention Network for Temporal Language Localization in Videos

Dual Path Interaction Network for Video Moment Localization

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

Regularized Two-Branch Proposal Networks for Weakly-Supervised Moment Retrieval in Videos

Visual Co-Occurrence Alignment Learning for Weakly-Supervised Video Moment Retrieval

Proceedings of the 29th ACM International Conference on Multimedia

Adversarial Video Moment Retrieval by Jointly Modeling Ranking and Localization

Cross Interaction Network for Natural Language Guided Video Moment Retrieval

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

Cross-modal video moment retrieval based on visual-textual relationship alignment

Semantic Modulation Based Residual Network for Temporal Language Queries Grounding in Video

Context-aware network with foreground recalibration for grounding natural language in video


Adaptive Nearest Neighbor Machine Translation

Efficient Cluster-Based k-Nearest-Neighbor Machine Translation

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

INK: Injecting kNN Knowledge in Nearest Neighbor Machine Translation


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


StyleGAN2-ADA - Official PyTorch implementation

Training Generative Adversarial Networks with Limited Data

Alias-Free Generative Adversarial Networks

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

StyleGAN-V: A Continuous Video Generator with the Price, Image Quality and Perks of StyleGAN2

Projected GANs Converge Faster

The Role of ImageNet Classes in Fréchet Inception Distance

Instance-Conditioned GAN

EpiGRAF: Rethinking training of 3D GANs

Generative Models as a Data Source for Multiview Representation Learning

Improving Transferability of Adversarial Patches on Face Recognition with Generative Models


WavEncoder is a Python library for encoding audio signals, transforms for audio augmentation, and training audio classification models with PyTorch backend.

wav2vec: Unsupervised Pre-training for Speech Recognition

Speaker Recognition from Raw Waveform with SincNet

Improved RawNet with Feature Map Scaling for Text-independent Speaker
  Verification using Raw Waveforms


Metrics for evaluating generative models.

GANs Trained by a Two Time-Scale Update Rule Converge to a Local Nash Equilibrium

A three-dimensional virtual mouse generates synthetic training data for behavioral analysis

Digital resolution enhancement in low transverse sampling optical coherence tomography angiography using deep learning


Code for Which Tasks Should Be Learned Together in Multi-task Learning?

Efficiently Identifying Task Groupings for Multi-Task Learning

Smart Multi-tenant Federated Learning


A simulation framework for unitary neural networks and photonic devices

Reprogrammable Electro-Optic Nonlinear Activation Functions for Optical Neural Networks

IEEE journal of selected topics in quantum electronics

Tunable Efficient Unitary Neural Networks (EUNN) and their application to RNNs

Recurrent Orthogonal Networks and Long-Memory Tasks

Matrix optimization on universal unitary photonic devices

Accurate Self-Configuration of Rectangular Multiport Interferometers

Infinitely Scalable Multiport Interferometers

Parallel fault-tolerant programming of an arbitrary feedforward photonic network

Dual adaptive training of photonic neural networks


TrajectoryNet: A Dynamic Optimal Transport Network for Modeling Cellular Dynamics

Solving Schrödinger Bridges via Maximum Likelihood

Neural Lagrangian Schrödinger Bridge: Diffusion Modeling for
  Population Dynamics


Resources for the NAACL 2018 paper "A Discourse-Aware Attention Model for Abstractive Summarization of Long Documents"

HiStruct+: Improving Extractive Text Summarization with Hierarchical Structure Information

Leveraging Locality in Abstractive Text Summarization

Discourse-Aware Soft Prompting for Text Generation

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

Scientific document processing: challenges for modern learning methods

International journal on digital libraries


This python code performs an efficient speech reverberation starting from a dataset of close-talking speech signals and a collection of acoustic impulse responses.

The DIRHA-English corpus and related tasks for distant-speech
  recognition in domestic environments

Realistic multi-microphone data simulation for distant speech recognition

Contaminated speech training methods for robust DNN-HMM distant speech recognition


BERT model trained from scratch on Finnish

Multilingual is not enough: BERT for Finnish

Exploring Cross-sentence Contexts for Named Entity Recognition with BERT

A Finnish news corpus for named entity recognition

KR-BERT: A Small-Scale Korean-Specific Language Model

Pre-training Polish Transformer-based Language Models at Scale

Large-Scale Contextualised Language Modelling for Norwegian.

The Current State of Finnish NLP

MULTISEM at SemEval-2020 Task 3: Fine-tuning BERT for Lexical Meaning

Facilitating Corpus Usage: Making Icelandic Corpora More Accessible for Researchers and Language Users

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

Towards Fully Bilingual Deep Language Modeling


DeepWalk implementation in C++

VERSE: Versatile Graph Embeddings from Similarity Measures

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

FREDE: Anytime Graph Embeddings

Node Embedding with Adaptive Similarities for Scalable Learning over Graphs

Massively Parallel Graph Drawing and Representation Learning

An Open-Source Knowledge Graph Ecosystem for the Life Sciences

Evaluating Scholarly Impact: Towards Content-Aware Bibliometrics

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

Knowledge-Driven Mechanistic Enrichment of the Preeclampsia Ignorome


[NeurIPS 2022 Spotlight] Expectation-Maximization Contrastive Learning for Compact Video-and-Language Representations

DiffusionRet: Generative Text-Video Retrieval with Diffusion Model

Video-Text as Game Players: Hierarchical Banzhaf Interaction for Cross-Modal Representation Learning

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


PyTorch code for the paper "Curriculum Graph Co-Teaching for Multi-target Domain Adaptation" (CVPR2021)

Deep Hashing Network for Unsupervised Domain Adaptation

Deeper, Broader and Artier Domain Generalization

Curriculum Graph Co-Teaching for Multi-Target Domain Adaptation


Pytorch implementation of JointBERT: "BERT for Joint Intent Classification and Slot Filling"

CONDA: a CONtextual Dual-Annotated dataset for in-game toxicity understanding and detection

Segmenting Natural Language Sentences via Lexical Unit Analysis

TAGPRIME: A Unified Framework for Relational Structure Extraction

Knowledge-Driven Slot Constraints for Goal-Oriented Dialogue Systems

North American Chapter of the Association for Computational Linguistics


Official Pytorch Implementation for "Text2LIVE: Text-Driven Layered Image and Video Editing" (ECCV 2022 Oral)

Null-text Inversion for Editing Real Images using Guided Diffusion Models

CycleNet: Rethinking Cycle Consistency in Text-Guided Diffusion for
  Image Manipulation


GAP-text2SQL: Learning Contextual Representations for Semantic Parsing with Generation-Augmented Pre-Training

mRAT-SQL+GAP:A Portuguese Text-to-SQL Transformer

A multilingual translator to SQL with database schema pruning to improve self-attention

International journal of information technology


A python library for instagram filters

FaceSigns: Semi-Fragile Neural Watermarks for Media Authentication and Countering Deepfakes

FastStamp: Accelerating Neural Steganography and Digital Watermarking of Images on FPGAs

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

Alteration-free and Model-agnostic Origin Attribution of Generated
  Images


The first realistic and public dataset with rare undesirable real events in oil wells.

A realistic and public dataset with rare undesirable real events in oil wells

Journal of petroleum science & engineering

Fault detection and classification in oil wells and production/service lines using random forest

Machine learning and transport simulations for groundwater anomaly detection

Journal of computational and applied mathematics

A visual analytics approach to anomaly detection in hydrocarbon reservoir time series data

Classification of undesirable events in oil well operation

PROCESS CONTROL '21 - PROCEEDING OF THE 2021 23RD INTERNATIONAL CONFERENCE ON PROCESS CONTROL (PC)

Flow Instability Detection in Offshore Oil Wells with Multivariate Time Series Machine Learning Classifiers

PROCEEDINGS OF 2021 IEEE 30TH INTERNATIONAL SYMPOSIUM ON INDUSTRIAL ELECTRONICS (ISIE)

Imminence Monitoring of Critical Events: A Representation Learning Approach

SIGMOD '21: PROCEEDINGS OF THE 2021 INTERNATIONAL CONFERENCE ON MANAGEMENT OF DATA

Hyperparameter Tuning and Feature Selection for Improving Flow Instability Detection in Offshore Oil Wells

International Conference on Industrial Informatics

Detecting Interesting and Anomalous Patterns In Multivariate Time-Series Data in an Offshore Platform Using Unsupervised Learning


Revisiting Transferable Adversarial Image Examples (arXiv 2023)

Towards Good Practices in Evaluating Transfer Adversarial Attacks

Revisiting Transferable Adversarial Image Examples: Attack
  Categorization, Evaluation Guidelines, and New Insights

Defending Against Transfer Attacks From Public Models


Dirichlet MLE python library

The redshift distribution of cosmological samples: a forward modeling approach

Journal of cosmology and astroparticle physics

A new statistical method to analyze Morris Water Maze data using Dirichlet distribution

Real-Time Learning from an Expert in Deep Recommendation Systems with Application to mHealth for Physical Exercises

IEEE journal of biomedical and health informatics

Long-Term Pharmacological Inhibition of the Activity of All NOS Isoforms Rather Than Genetic Knock-Out of Endothelial NOS Leads to Impaired Spatial Learning and Memory in C57BL/6 Mice

A Combination of Caffeine Supplementation and Enriched Environment in an Alzheimer’s Disease Mouse Model

International journal of molecular sciences

A causal view on compositional data


A fast LSTM Language Model for large vocabulary language like Japanese and Chinese

Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding

Using the Output Embedding to Improve Language Models

Efficient softmax approximation for GPUs

Strategies for Training Large Vocabulary Neural Language Models

Enabling Real-time Neural IME with Incremental Vocabulary Selection


Atomic interaction potentials based on artificial neural networks

Recent advances and applications of deep learning methods in materials science

Sensitivity and dimensionality of atomic environment representations used for machine learning interatomic potentials.

AI-Aided Mapping of the Structure-Composition-Conductivity Relationships
  of Glass-Ceramic Lithium Thiophosphate Electrolytes

AENET-LAMMPS and AENET-TINKER: Interfaces for Accurate and Efficient Molecular Dynamics Simulations with Machine Learning Potentials


Learning Long-term Visual Dynamics with Region Proposal Interaction Networks (ICLR 2021)

Physion: Evaluating Physical Prediction from Vision in Humans and Machines

SlotFormer: Unsupervised Visual Dynamics Simulation with Object-Centric
  Models


AttentionGAN for Unpaired Image-to-Image Translation & Multi-Domain Image-to-Image Translation

AttentionGAN: Unpaired Image-to-Image Translation Using Attention-Guided Generative Adversarial Networks

Attention-Guided Generative Adversarial Networks for Unsupervised Image-to-Image Translation

TVA-GAN: Attention Guided Generative Adversarial Network For Thermal To Visible Face Transformations


Representing Long-Range Context for Graph Neural Networks with Global Attention

Search to Capture Long-range Dependency with Stacking GNNs for Graph Classification


TensorFlow implementation for paper Time Interval Aware Self-Attention for Sequential Recommendation.

Context and Attribute-Aware Sequential Recommendation via Cross-Attention

Proceedings of the 16th ACM Conference on Recommender Systems

Position-Enhanced and Time-aware Graph Convolutional Network for Sequential Recommendations

Do Loyal Users Enjoy Better Recommendations?

Proceedings of the 2022 ACM SIGIR International Conference on Theory of Information Retrieval

Sequence Adaptation via Reinforcement Learning in Recommender Systems


Two-Stream Adaptive Graph Convolutional Networks for Skeleton-Based Action Recognition in CVPR19

Predictively encoded graph convolutional network for noise-robust skeleton-based action recognition

Normalizing Flows for Human Pose Anomaly Detection

Anonymization for Skeleton Action Recognition

InfoGCN++: Learning Representation by Predicting the Future for Online
  Human Skeleton-based Action Recognition


Model soups: averaging weights of multiple fine-tuned models improves accuracy without increasing inference time

Robust fine-tuning of zero-shot models

Meta-Ensemble Parameter Learning


AraVec is a pre-trained distributed word representation (word embedding) open source project which aims to provide the Arabic NLP research community with free to use and powerful word embedding models.

Arabic Named Entity Recognition: What Works and What’s Next

Meeting of the Association for Computational Linguistics

AraWEAT: Multidimensional Analysis of Biases in Arabic Word Embeddings

Leveraging Knowledge-Based Features With Multilevel Attention Mechanisms for Short Arabic Text Classification

Incremental Domain Adaptation for Neural Machine Translation in Low-Resource Settings


Repository for the Paper (AAAI 2024, Oral) --- Visual Adversarial Examples Jailbreak Large Language Models

GPT-4 Technical Report

Flamingo: a Visual Language Model for Few-Shot Learning

BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image
  Encoders and Large Language Models

Visual Adversarial Examples Jailbreak Aligned Large Language Models


Pytorch implementation of CRNN (CNN + RNN + CTCLoss) for all language OCR.

ScrabbleGAN: Semi-Supervised Varying Length Handwritten Text Generation

Modernizing Open-Set Speech Language Identification


Code for "Actor-Attention-Critic for Multi-Agent Reinforcement Learning" ICML 2019

Scaling Up Multiagent Reinforcement Learning for Robotic Systems: Learn an Adaptive Sparse Communication Graph

Correcting Experience Replay for Multi-Agent Communication

Modeling the Interaction between Agents in Cooperative Multi-Agent Reinforcement Learning.

Scalable Multi-Agent Inverse Reinforcement Learning via
  Actor-Attention-Critic

Dealing with Non-Stationarity in MARL via Trust-Region Decomposition


A toolbox for differentially private data generation

CTAB-GAN: Effective Table Data Synthesizing

Benchmarking Differentially Private Synthetic Data Generation Algorithms

CTAB-GAN+: Enhancing Tabular Data Synthesis

Differential Privacy: What is all the noise about?


View Adaptive Neural Networks for High Performance Skeleton-based Human Action Recognition

View Adaptive Recurrent Neural Networks for High Performance Human Action Recognition from Skeleton Data

View Adaptive Neural Networks for High Performance Skeleton-Based Human Action Recognition

How Object Information Improves Skeleton-based Human Action Recognition in Assembly Tasks


Robustness and adaptation of ImageNet scale models. Pre-Release, stay tuned for updates.

Improving robustness against common corruptions by covariate shift adaptation

The Norm Must Go On: Dynamic Unsupervised Domain Adaptation by Normalization

If your data distribution shifts, use self-learning

ActMAD: Activation Matching to Align Distributions for Test-Time-Training

RDumb: A simple approach that questions our progress in continual
  test-time adaptation

Test-Time Poisoning Attacks Against Test-Time Adaptation Models


LDBlockShow: a fast and convenient tool for visualizing linkage disequilibrium and haplotype blocks based on VCF files

LDBlockShow: a fast and convenient tool for visualizing linkage disequilibrium and haplotype blocks based on variant call format files

Genome-Wide Association Study Using Whole-Genome Sequencing Identifies a Genomic Region on Chromosome 6 Associated With Comb Traits in Nandan-Yao Chicken

Genome-Wide Association Study Reveals That PvGUX1_1 Is Associated with Pod Stringlessness in Snap Bean (Phaseolus vulgaris L.)

Genome and haplotype provide insights into the population differentiation and breeding improvement of Gossypium barbadense


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

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

Value-Decomposition Networks For Cooperative Multi-Agent Learning

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

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

Low-level laser therapy on bone repair: is there any effect outside the irradiated field?


General purpose Matlab toolbox

Phase resetting in human auditory cortex to visual speech

Interpolating the Directional Room Impulse Response for Dynamic Spatial Audio Reproduction

Birdsong fails to support object categorization in human infants

Cardiac forces regulate zebrafish heart valve delamination by modulating Nfat signaling

MYRiAD: A Multi-Array Room Acoustic Database

A method for realistic, conversational signal-to-noise ratio estimation

The Journal of the Acoustical Society of America/The journal of the Acoustical Society of America

Pre-Stimulus Power but Not Phase Predicts Prefrontal Cortical Excitability in TMS-EEG

Similarity-based transfer learning of decision policies


Mutilate: high-performance memcached load generator

Agile Development of Linux Schedulers with Ekiben


Code for "Effective Dimensionality Reduction for Word Embeddings".

Simple and Effective Dimensionality Reduction for Word Embeddings

On Dimensional Linguistic Properties of the Word Embedding Space

EmbedTextNet: Dimension Reduction with Weighted Reconstruction and Correlation Losses for Efficient Text Embedding

Findings of the Association for Computational Linguistics: ACL 2023


A PyTorch implementation of Conv-TasNet described in "TasNet: Surpassing Ideal Time-Frequency Masking for Speech Separation" with Permutation Invariant Training (PIT).

Conv-TasNet: Surpassing Ideal Time–Frequency Magnitude Masking for Speech Separation

IEEE/ACM transactions on audio, speech, and language processing

Interactive Speech and Noise Modeling for Speech Enhancement

Sequence to Multi-Sequence Learning via Conditional Chain Mapping for Mixture Signals

SLOGD: Speaker LOcation Guided Deflation approach to speech separation


Adversarial Framework for (non-) Parametric Image Stylisation Mosaics

Learning Texture Manifolds with the Periodic Spatial GAN

A Generative Model for Texture Synthesis based on Optimal Transport Between Feature Distributions

Copy the Old or Paint Anew? An Adversarial Framework for (non-) Parametric Image Stylization

Interpreting Spatially Infinite Generative Models


Creative Commons Attribution 4.0 International

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

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

Reversed graph embedding resolves complex single-cell trajectories

RNA velocity of single cells

The single-cell transcriptional landscape of mammalian organogenesis

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

Generalizing RNA velocity to transient cell states through dynamical modeling

Single-cell mRNA quantification and differential analysis with Census

A comparison of single-cell trajectory inference methods

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

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


Open source code for paper "Denoised MDPs: Learning World Models Better Than the World Itself"

Dream to Control: Learning Behaviors by Latent Imagination


Tools to download and cleanup Common Crawl data

Unsupervised Cross-lingual Representation Learning at Scale

CCNet: Extracting High Quality Monolingual Datasets from Web Crawl Data

Text Embeddings by Weakly-Supervised Contrastive Pre-training

Neural Machine Translation: A Review of Methods, Resources, and Tools

On Learning Universal Representations Across Languages

mT6: Multilingual Pretrained Text-to-Text Transformer with Translation Pairs

SMTCE: A Social Media Text Classification Evaluation Benchmark and
  BERTology Models for Vietnamese

AboutMe: Using Self-Descriptions in Webpages to Document the Effects of
  English Pretraining Data Filters

A Survey on Data Selection for Language Models


Bash script to download/update snapshots of files from NCBI genomes repository (refseq/genbank) with track of changes and without redundancy

ganon: precise metagenomics classification against large and up-to-date sets of reference sequences

Analysis of genomes of bacterial isolates from lameness outbreaks in broilers

DeepMicrobeFinder Sorts Metagenomes into Prokaryotes, Eukaryotes and Viruses, with Marine Applications

Daily Reports on Phage-Host Interactions

Utilizing the VirIdAl Pipeline to Search for Viruses in the Metagenomic Data of Bat Samples

Prospecting for Zoonotic Pathogens by Using Targeted DNA Enrichment


BiLSTM-CNN-CRF architecture for sequence tagging using ELMo representations.

Deep contextualized word representations

Reporting Score Distributions Makes a Difference: Performance Study of LSTM-networks for Sequence Tagging

Alternative Weighting Schemes for ELMo Embeddings

Identifying communicative functions in discourse with content types


Safe RLHF: Constrained Value Alignment via Safe Reinforcement Learning from Human Feedback

OPT: Open Pre-trained Transformer Language Models

Safe RLHF: Safe Reinforcement Learning from Human Feedback

Unmasking and Improving Data Credibility: A Study with Datasets for
  Training Harmless Language Models

Human-Instruction-Free LLM Self-Alignment with Limited Samples

Beyond One-Preference-Fits-All Alignment: Multi-Objective Direct
  Preference Optimization


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

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

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

Polygenic Health Index, General Health, and Pleiotropy: Sibling Analysis and Disease Risk Reduction

Elevated common variant genetic risk for tourette syndrome in a densely-affected pedigree

Evaluating the role of common risk variation in the recurrence risk of schizophrenia in multiplex schizophrenia families

A statistical boosting framework for polygenic risk scores based on large-scale genotype data

日本科学教育学会年会論文集

Multivariate genetic analysis of personality and cognitive traits reveals abundant pleiotropy

Genome-wide association study identifies novel risk loci for apical periodontitis


PhyloSuite is an integrated and scalable desktop platform for streamlined molecular sequence data management and evolutionary phylogenetics studies

Correlation between the gut microbiome and neurodegenerative diseases: a review of metagenomics evidence

Morphological and molecular analyses reveal two new species of Gibellula (Cordycipitaceae, Hypocreales) from China

Identification and Biological Characteristics of Mortierella alpina Associated with Chinese Flowering Cherry (Cerasus serrulata) Leaf Blight in China

The First Five Mitochondrial Genomes for the Family Nidulariaceae Reveal Novel Gene Rearrangements, Intron Dynamics, and Phylogeny of Agaricales


Breaking the Softmax Bottleneck: A High-Rank RNN Language Model

FRAGE: Frequency-Agnostic Word Representation

Understanding and Improving Knowledge Distillation

Sigsoftmax: Reanalysis of the Softmax Bottleneck

Direct Output Connection for a High-Rank Language Model

Target Conditioned Sampling: Optimizing Data Selection for Multilingual Neural Machine Translation

Revisiting Representation Degeneration Problem in Language Modeling

Cross Entropy of Neural Language Models at Infinity—A New Bound of the Entropy Rate

A Lightweight Recurrent Network for Sequence Modeling

Contextual Temperature for Language Modeling


Pytorch implementation of NetVlad including training on Pittsburgh.

NetVLAD: CNN architecture for weakly supervised place recognition

MultiRes-NetVLAD: Augmenting Place Recognition Training With Low-Resolution Imagery

i3dLoc: Image-to-range Cross-domain Localization Robust to Inconsistent Environmental Conditions

ImPosing: Implicit Pose Encoding for Efficient Visual Localization

IEEE Workshop/Winter Conference on Applications of Computer Vision

StructVPR: Distill Structural Knowledge with Weighting Samples for Visual Place Recognition

Improved Visual Localization via Graph Smoothing

Towards Seamless Adaptation of Pre-trained Models for Visual Place
  Recognition

Improved Visual Localization via Graph Filtering

Optimizing Appearance-Based Localization with Catadioptric Cameras: Small-Footprint Models for Real-Time Inference on Edge Devices

CricaVPR: Cross-image Correlation-aware Representation Learning for Visual Place Recognition


YaRN: Efficient Context Window Extension of Large Language Models

SOLAR 10.7B: Scaling Large Language Models with Simple yet Effective
  Depth Up-Scaling

Advancing Transformer Architecture in Long-Context Large Language
  Models: A Comprehensive Survey

Length Extrapolation of Transformers: A Survey from the Perspective of
  Position Encoding


CoDEx: A set of knowledge graph Completion Datasets Extracted from Wikidata and Wikipedia

CoDEx: A Comprehensive Knowledge Graph Completion Benchmark

Two-view Graph Neural Networks for Knowledge Graph Completion


Some commonly-used image quality assessment algorithms.

GANs Trained by a Two Time-Scale Update Rule Converge to a Local Nash Equilibrium

The Unreasonable Effectiveness of Deep Features as a Perceptual Metric

The 2018 PIRM Challenge on Perceptual Image Super-resolution

Learning a No-Reference Quality Metric for Single-Image Super-Resolution


icip2022 paper: sahi benchmark on visdrone and xview datasets using fcos, vfnet and tood detectors

FCOS: Fully Convolutional One-Stage Object Detection

VarifocalNet: An IoU-aware Dense Object Detector

TOOD: Task-aligned One-stage Object Detection

Slicing Aided Hyper Inference and Fine-tuning for Small Object Detection

Varifocal-Net: A Chromosome Classification Approach Using Deep Convolutional Networks


Molecule Validation and Standardization

Learning To Navigate The Synthetically Accessible Chemical Space Using Reinforcement Learning

Molecular Generation with Recurrent Neural Networks (RNNs)

NP-Scout: Machine Learning Approach for the Quantification and Visualization of the Natural Product-Likeness of Small Molecules

DeepFrag: a deep convolutional neural network for fragment-based lead optimization

A deep-learning view of chemical space designed to facilitate drug discovery

Skin Doctor: Machine Learning Models for Skin Sensitization Prediction that Provide Estimates and Indicators of Prediction Reliability

Identification and New Indication of Melanin-Concentrating Hormone Receptor 1 (MCHR1) Antagonist Derived from Machine Learning and Transcriptome-Based Drug Repositioning Approaches

Development and Experimental Validation of Regularized Machine Learning Models Detecting New, Structurally Distinct Activators of PXR

PredPS: Attention-based graph neural network for predicting stability of compounds in human plasma

Computational and structural biotechnology journal


Pytorch implementation of the paper "The Devil Is in the Details: Window-based Attention for Image Compression".

EVC: Towards Real-Time Neural Image Compression with Mask Decay

QARV: Quantization-Aware ResNet VAE for Lossy Image Compression

Dynamic Kernel-Based Adaptive Spatial Aggregation for Learned Image
  Compression


Implementation of Sparsemax activation in Pytorch

From Softmax to Sparsemax: A Sparse Model of Attention and Multi-Label Classification

Transcoding compositionally: using attention to find more generalizable solutions

Layer-wise Adaptive Graph Convolution Networks Using Generalized
  Pagerank


Learning Type-Aware Embeddings for Fashion Compatibility

Conditional Similarity Networks

Attention-based Fusion for Outfit Recommendation

Supporting stylists by recommending fashion style


Deep Neural Decision Trees

Deep Neural Decision Trees

Dive into Decision Trees and Forests: A Theoretical Demonstration

GradTree: Learning Axis-Aligned Decision Trees with Gradient Descent


Estimating tumor fraction in cell-free DNA from ultra-low-pass whole genome sequencing.

Tumor fraction in cell-free DNA as a biomarker in prostate cancer

Comprehensive characterization of cell-free tumor DNA in plasma and urine of patients with renal tumors

Establishing the Clinical Utility of ctDNA Analysis for Diagnosis, Prognosis, and Treatment Monitoring of Retinoblastoma: The Aqueous Humor Liquid Biopsy

An omic and multidimensional spatial atlas from serial biopsies of an evolving metastatic breast cancer

CD74 and CD44 Expression on CTCs in Cancer Patients with Brain Metastasis

Cell-Free DNA Tumor Fraction in the Aqueous Humor Is Associated With Therapeutic Response in Retinoblastoma Patients

Translational vision science & technology

On-treatment measurements of circulating tumor DNA during FOLFOX therapy in patients with colorectal cancer

Cell-free tumour DNA analysis detects copy number alterations in gastro-oesophageal cancer patients

Quantified CIN Score From Cell-free DNA as a Novel Noninvasive Predictor of Survival in Patients With Spinal Metastasis

Frontiers in cell and developmental biology

Circulating Cell-Free DNA as Biomarker of Taxane Resistance in Metastatic Castration-Resistant Prostate Cancer


[CVPR'19] Dataset and code used in the research project Scan2CAD: Learning CAD Model Alignment in RGB-D Scans

PatchComplete: Learning Multi-Resolution Patch Priors for 3D Shape
  Completion on Unseen Categories

From CAD models to soft point cloud labels: An automatic annotation
  pipeline for cheaply supervised 3D semantic segmentation


Experiments on unsupervised point cloud reconstruction.

FoldingNet: Point Cloud Auto-encoder via Deep Grid Deformation

PointFlow: 3D Point Cloud Generation with Continuous Normalizing Flows

PyUUL provides an interface between biological structures and deep learning algorithms

SRG-Net: Unsupervised Segmentation for Terracotta Warrior Point Cloud with 3D Pointwise CNN methods.

Unsupervised Segmentation for Terracotta Warrior with Seed-Region-Growing CNN (SRG-Net)


A list of tools, papers and code related to Deepfake Detection.

Emotions Don't Lie: An Audio-Visual Deepfake Detection Method Using Affective Cues

DeepRhythm: Exposing DeepFakes with Attentional Visual Heartbeat Rhythms

Sharp Multiple Instance Learning for DeepFake Video Detection

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

Not made for each other- Audio-Visual Dissonance-based Deepfake Detection and Localization

Spatiotemporal Inconsistency Learning for DeepFake Video Detection

FakeTagger: Robust Safeguards against DeepFake Dissemination via Provenance Tracking.


Towards Building an Intelligent Anti-Malware System: A Deep Learning Approach using Support Vector Machine for Malware Classification

Deep Learning using Linear Support Vector Machines

A Neural Network Architecture Combining Gated Recurrent Unit (GRU) and Support Vector Machine (SVM) for Intrusion Detection in Network Traffic Data

PROCEEDINGS OF 2018 10TH INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND COMPUTING (ICMLC 2018)

Towards Building an Intelligent Anti-Malware System: A Deep Learning Approach using Support Vector Machine (SVM) for Malware Classification


DynaSent: Dynamic Sentiment Analysis Dataset

Datasheets for Datasets

Model Cards for Model Reporting

Proceedings of the Conference on Fairness, Accountability, and Transparency

DynaSent: A Dynamic Benchmark for Sentiment Analysis

Prefer to Classify: Improving Text Classifiers via Auxiliary Preference
  Learning


The Marine Systems Simulator (MSS) is software that supplements the textbook "Handbook of Marine Craft Hydrodynamics and Motion Control," 2nd Edition, by T. I. Fossen, published in 2021 by John Wiley & Sons Ltd.

Five-State Extended Kalman Filter for Estimation of Speed over Ground (SOG), Course over Ground (COG) and Course Rate of Unmanned Surface Vehicles (USVs): Experimental Results

LQG Control for Dynamic Positioning of Floating Caissons Based on the Kalman Filter

Optimal universal controllers for roll stabilization

Path following Control of an Underactuated Catamaran for Recovery Maneuvers

Convex Geometric Trajectory Tracking using Lie Algebraic MPC for
  Autonomous Marine Vehicles

Performance of an Advanced Intelligent Control Strategy in a Dynamic Positioning (DP) System Applied to a Semisubmersible Drilling Platform

Journal of marine science and engineering


StaQC: a systematically mined dataset containing around 148K Python and 120K SQL domain question-code pairs, as described in "StaQC: A Systematically Mined Question-Code Dataset from Stack Overflow" (WWW'18)

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

CodeTrans: Towards Cracking the Language of Silicon's Code Through Self-Supervised Deep Learning and High Performance Computing

Neural Code Search Revisited: Enhancing Code Snippet Retrieval through
  Natural Language Intent


[CVPR'21] PU-GCN: Point Cloud Upsampling using Graph Convolutional Networks

PU-Net: Point Cloud Upsampling Network

BIMS-PU: Bi-Directional and Multi-Scale Point Cloud Upsampling


Super Resolution datasets and models in Pytorch

Enhanced Deep Residual Networks for Single Image Super-Resolution

Image Super-Resolution Using Very Deep Residual Channel Attention Networks

Residual Dense Network for Image Super-Resolution

Fast, Accurate, and Lightweight Super-Resolution with Cascading Residual Network


PopLDdecay: a fast and effective tool for linkage disequilibrium decay analysis based on variant call format(VCF) files

PopLDdecay: a fast and effective tool for linkage disequilibrium decay analysis based on variant call format files

Haplotype-resolved genome assembly provides insights into evolutionary history of the tea plant Camellia sinensis

Genome-Wide Association Mapping of Starch Pasting Properties in Maize Using Single-Locus and Multi-Locus Models

The genetic architecture of amylose biosynthesis in maize kernel

Genetic Diversity, Population Structure, and Linkage Disequilibrium of an Association-Mapping Panel Revealed by Genome-Wide SNP Markers in Sesame

Genome-Wide Association Study (GWAS) for Mesocotyl Elongation in Rice (Oryza sativa L.) under Multiple Culture Conditions

A genome variation map provides insights into the genetics of walnut adaptation and agronomic traits

Genomic insights into the evolution of Echinochloa species as weed and orphan crop

Identification of Signatures of Selection by Whole-Genome Resequencing of a Chinese Native Pig

Chromosome-Scale Genome Assembly for Chinese Sour Jujube and Insights Into Its Genome Evolution and Domestication Signature


Eigen tools by Nick Patterson and Alkes Price lab

The UK Biobank resource with deep phenotyping and genomic data

Paleogenomic Evidence for Multi-generational Mixing between Neolithic Farmers and Mesolithic Hunter-Gatherers in the Lower Danube Basin

Ancient Fennoscandian genomes reveal origin and spread of Siberian ancestry in Europe

Ancient introgression drives adaptation to cooler and drier mountain habitats in a cypress species complex

Dynamic changes in genomic and social structures in third millennium BCE central Europe

Inferring Population Histories for Ancient Genomes Using Genome-Wide Genealogies

Genome of a middle Holocene hunter-gatherer from Wallacea

Genomic analyses of hair from Ludwig van Beethoven

Resequencing of 388 cassava accessions identifies valuable loci and selection for variation in heterozygosity

Retrotransposon-mediated evolutionary rewiring of a pathogen response orchestrates a resistance phenotype in an insect host

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


classify, merge, tracking and annotation of GFF files by comparing to a reference annotation GFF

GFF Utilities: GffRead and GffCompare

The RNA landscape of the human placenta in health and disease

Systematic identification and characterization of Aedes aegypti long noncoding RNAs (lncRNAs)

Transcriptional Landscape and Regulatory Roles of Small Noncoding RNAs in the Oxidative Stress Response of the Haloarchaeon Haloferax volcanii

Spaceflight-induced alternative splicing during seedling development in Arabidopsis thaliana

Bovine Milk Extracellular Vesicles (EVs) Modification Elicits Skeletal Muscle Growth in Rats

Identification of differentially expressed circulating exosomal lncRNAs in IgA nephropathy patients

Genome-wide identification of Aedes albopictus long noncoding RNAs and their association with dengue and zika virus infection

Genome-Wide Network of lncRNA–mRNA During Ovine Oocyte Development From Germinal Vesicle to Metaphase II in vitro

EPHX2 Inhibits Colon Cancer Progression by Promoting Fatty Acid Degradation


TALL: Temporal Activity Localization via Language Query

MAC: Mining Activity Concepts for Language-based Temporal Localization

A Survey on Video Moment Localization

Attentive Sequence to Sequence Translation for Localizing Clips of Interest by Natural Language Descriptions.


Learning to Communicate with Deep Multi-Agent Reinforcement Learning

Deep Reinforcement Learning: An Overview

An Introduction to Multi-Agent Reinforcement Learning and Review of its Application to Autonomous Mobility


Unsupervised Semantic Segmentation by Distilling Feature Correspondences

Bridging the Gap to Real-World Object-Centric Learning

Self-Guided Diffusion Models

Uncovering the Inner Workings of STEGO for Safe Unsupervised Semantic Segmentation


百度开源的依存句法分析系统

Deep Biaffine Attention for Neural Dependency Parsing

Enhancing Entity Boundary Detection for Better Chinese Named Entity Recognition

A Practical Chinese Dependency Parser Based on A Large-scale Dataset

GEDIT: Geographic-Enhanced and Dependency-Guided Tagging for Joint POI and Accessibility Extraction at Baidu Maps

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

Mobile App Crowdsourced Test Report Consistency Detection via Deep Image-and-Text Fusion Understanding

DuQM: A Chinese Dataset of Linguistically Perturbed Natural Questions for Evaluating the Robustness of Question Matching Models


An implementation of the BADGE batch active learning algorithm.

Deep Batch Active Learning by Diverse, Uncertain Gradient Lower Bounds

SIMILAR: Submodular Information Measures Based Active Learning In Realistic Scenarios

Gone Fishing: Neural Active Learning with Fisher Embeddings

Effective Evaluation of Deep Active Learning on Image Classification
  Tasks

Unifying Approaches in Active Learning and Active Sampling via Fisher
  Information and Information-Theoretic Quantities

Introspective Learning : A Two-Stage Approach for Inference in Neural
  Networks

Streaming Active Learning with Deep Neural Networks

Pareto Optimization for Active Learning under Out-of-Distribution Data
  Scenarios

Low-Regret Active learning

Advancing Deep Active Learning & Data Subset Selection: Unifying
  Principles with Information-Theory Intuitions


Unofficial Pytorch code for  "FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence" in NeurIPS'20. This repo contains reproduced checkpoints.

MSMatch: Semi-Supervised Multispectral Scene Classification with Few Labels

Don't fear the unlabelled: safe semi-supervised learning via simple
  debiasing

RoPAWS: Robust Semi-supervised Representation Learning from Uncurated
  Data

Cost-Sensitive Self-Training for Optimizing Non-Decomposable Metrics


Unsupervised Domain Adaptive Re-Identification: Theory and Practice

A formal approach to good practices in Pseudo-Labeling for Unsupervised Domain Adaptive Re-Identification

Improving Unsupervised Domain Adaptive Re-Identification Via Source-Guided Selection of Pseudo-Labeling Hyperparameters


Code and datasets for the Tsetlin Machine

The Tsetlin Machine - A Game Theoretic Bandit Driven Approach to Optimal Pattern Recognition with Propositional Logic

Using the Tsetlin Machine to Learn Human-Interpretable Rules for High-Accuracy Text Categorization with Medical Applications

The Convolutional Tsetlin Machine

On the Convergence of Tsetlin Machines for the XOR Operator

A relational tsetlin machine with applications to natural language understanding

Massively Parallel and Asynchronous Tsetlin Machine Architecture Supporting Almost Constant-Time Scaling

Measuring the Novelty of Natural Language Text Using the Conjunctive Clauses of a Tsetlin Machine Text Classifier

Explainable Tsetlin Machine Framework for Fake News Detection with Credibility Score Assessment

Enhancing Interpretable Clauses Semantically using Pretrained Word Representation

Word-level human interpretable scoring mechanism for novel text detection using Tsetlin Machines


[ICLR 2022 poster] Official PyTorch implementation of "Rethinking Network Design and Local Geometry in Point Cloud: A Simple Residual MLP Framework"

Rethinking the compositionality of point clouds through regularization
  in the hyperbolic space

NCP: Neural Correspondence Prior for Effective Unsupervised Shape
  Matching


Easy Bootstrap Resampling and Approximate Randomization for BLEU, METEOR, and TER using Multiple Optimizer Runs. This implements "Better Hypothesis Testing for Statistical Machine Translation: Controlling for Optimizer Instability" from ACL 2011.

A Call for Clarity in Reporting BLEU Scores

A Deep Generative Framework for Paraphrase Generation

Neural Paraphrase Generation with Stacked Residual LSTM Networks

A Shared Task on Multimodal Machine Translation and Crosslingual Image Description

Proceedings of the First Conference on Machine Translation: Volume 2,
          Shared Task Papers

A Systematic Comparison of Smoothing Techniques for Sentence-Level BLEU

Workshop on Statistical Machine Translation

Fill-up versus interpolation methods for phrase-based SMT adaptation

International Workshop on Spoken Language Translation

Multimodal Pivots for Image Caption Translation

PROCEEDINGS OF THE 54TH ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS, VOL 1

Scientific Credibility of Machine Translation Research: A Meta-Evaluation of 769 Papers

Enhancement of Encoder and Attention Using Target Monolingual Corpora in Neural Machine Translation

NEURAL MACHINE TRANSLATION AND GENERATION


TensorFlow and PyTorch implementation of "Meta-Transfer Learning for Few-Shot Learning" (CVPR2019)

Interventional Few-Shot Learning

Meta-Transfer Learning through Hard Tasks

How to Trust Unlabeled Data? Instance Credibility Inference for Few-Shot Learning

MetaMix: Improved Meta-Learning with Interpolation-based Consistency Regularization


Numbers Station Text to SQL model code.

A Benchmark to Understand the Role of Knowledge Graphs on Large Language
  Model's Accuracy for Question Answering on Enterprise SQL Databases

Fine-Tuning Language Models for Context-Specific SQL Query Generation


EquiBind: geometric deep learning for fast predictions of the 3D structure in which a small molecule binds to a protein

DiffDock: Diffusion Steps, Twists, and Turns for Molecular Docking

EquiBind: Geometric Deep Learning for Drug Binding Structure Prediction


ViLBERT: Pretraining Task-Agnostic Visiolinguistic Representations for Vision-and-Language Tasks

12-in-1: Multi-Task Vision and Language Representation Learning

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

Large-scale Pretraining for Visual Dialog: A Simple State-of-the-Art Baseline

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

XGPT: Cross-modal Generative Pre-Training for Image Captioning

Words aren't enough, their order matters: On the Robustness of Grounding
  Visual Referring Expressions

Broaden the Vision: Geo-Diverse Visual Commonsense Reasoning


Deep networks for Earth Observation

SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation

Deep learning in remote sensing: a review

Beyond RGB: Very High Resolution Urban Remote Sensing With Multimodal Deep Networks

Weakly supervised change detection using guided anisotropic diffusion

Very high resolution Airborne PolSAR Image Classification using Convolutional Neural Networks

Region-Enhancing Network for Semantic Segmentation of Remote-Sensing Imagery

On the Importance of 3D Surface Information for Remote Sensing Classification Tasks


Tensorflow implementation of Ordinary Differential Equation Solvers with full GPU support

Neural Ordinary Differential Equations

Universal Differential Equations for Scientific Machine Learning

Data-driven reduced order modeling of environmental hydrodynamics using deep autoencoders and neural ODEs

A two stages Deep Learning Architecture for Model Reduction of
  Parametric Time-Dependent Problems


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


[ICLR'21] FedBN: Federated Learning on Non-IID Features via Local Batch Normalization

FedLab: A Flexible Federated Learning Framework

Efficient Split-Mix Federated Learning for On-Demand and In-Situ
  Customization

FedWon: Triumphing Multi-domain Federated Learning Without Normalization

FedER: Federated Learning through Experience Replay and
  Privacy-Preserving Data Synthesis


LEAF is a learnable alternative to audio features such as mel-filterbanks, that can be initialized as an approximation of mel-filterbanks, and then be trained for the task at hand, while using a very small number of parameters.

SpecAugment: A Simple Data Augmentation Method for Automatic Speech Recognition

Speaker Recognition from Raw Waveform with SincNet

Learning Filterbanks from Raw Speech for Phone Recognition

LEAF: A Learnable Frontend for Audio Classification


A place to share problems solved with SciANN

A deep learning framework for solution and discovery in solid mechanics

Physics-informed neural network simulation of multiphase poroelasticity using stress-split sequential training

A Physics Informed Neural Network Approach to Solution and Identification of Biharmonic Equations of Elasticity

Constitutive model characterization and discovery using physics-informed deep learning

Physics-informed neural network solution of thermo-hydro-mechanical
  (THM) processes in porous media

En-DeepONet: An enrichment approach for enhancing the expressivity of neural operators with applications to seismology

Inverse modeling of nonisothermal multiphase poromechanics using physics-informed neural networks


Self-Attention Generative Adversarial Networks

Progressive Augmentation of GANs

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


This repository contains data indexes from NIST's Genome in a Bottle project.

ABySS 2.0: resource-efficient assembly of large genomes using a Bloom filter

ARCS: scaffolding genome drafts with linked reads

Megabase-scale methylation phasing using nanopore long reads and NanoMethPhase

Strobealign: flexible seed size enables ultra-fast and accurate read alignment

Combining callers improves the detection of copy number variants from whole-genome sequencing

European journal of human genetics : EJHG

WFA-GPU: Gap-affine pairwise alignment using GPUs

High-coverage, long-read sequencing of Han Chinese trio reference samples

Managing genomic variant calling workflows with Swift/T

DeBreak: Deciphering the exact breakpoints of structural variations using long sequencing reads

Accurate sequencing of DNA motifs able to form alternative (non-B) structures


Official Implementation for "HyperStyle: StyleGAN Inversion with HyperNetworks for Real Image Editing" (CVPR 2022) https://arxiv.org/abs/2111.15666

Image2StyleGAN: How to Embed Images Into the StyleGAN Latent Space?

Semantic Photo Manipulation with a Generative Image Prior

Improved StyleGAN Embedding: Where are the Good Latents?

Diffeomorphic Counterfactuals with Generative Models


RoBERTa中文预训练模型: RoBERTa for Chinese

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

RoBERTa: A Robustly Optimized BERT Pretraining Approach

Pre-Training with Whole Word Masking for Chinese BERT

Chinese Clinical Named Entity Recognition in Electronic Medical Records: Development of a Lattice Long Short-Term Memory Model With Contextualized Character Representations

A BERT-based Dual Embedding Model for Chinese Idiom Prediction

Semantic Role Labeling with Heterogeneous Syntactic Knowledge

International Conference on Computational Linguistics


Code for CIKM 2020 paper Enhancing Graph Neural Network-based Fraud Detectors against Camouflaged Fraudsters

A Comprehensive Survey on Graph Anomaly Detection with Deep Learning

International Conference on Information and Knowledge Management

Rethinking Graph Neural Networks for Anomaly Detection

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

Reinforcement Learning on Graphs: A Survey


Code for "Animatable Implicit Neural Representations for Creating Realistic Avatars from Videos" TPAMI 2024, ICCV 2021

Animatable Neural Radiance Fields for Modeling Dynamic Human Bodies

CAT-NeRF: Constancy-Aware Tx^2Former for Dynamic Body Modeling


ESP32 Smart Solar Charger - the Open Solar Project


Summarizing Source Code using a Neural Attention Model - CODENN

CodeBERT: A Pre-Trained Model for Programming and Natural Languages

Opportunities and Challenges in Code Search Tools

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

TreeBERT: A Tree-Based Pre-Trained Model for Programming Language

Improving Code Summarization with Block-wise Abstract Syntax Tree Splitting

CodeTrans: Towards Cracking the Language of Silicon's Code Through Self-Supervised Deep Learning and High Performance Computing

Neural Code Summarization: How Far Are We?


A simple implementation of Apriori algorithm by Python.

Student assessment in cybersecurity training automated by pattern mining and clustering

Application of association rules learning for studying the store history of a large retail chain


A PyTorch Library for Photonic Integrated Circuit Simulation and Photonic AI Computing

Deep learning with coherent nanophotonic circuits

Photonics Society Summer Topical Meeting Series

Neuromorphic Silicon Photonic Networks

Towards Area-Efficient Optical Neural Networks: An FFT-based Architecture

Asia and South Pacific Design Automation Conference

A Compact Butterfly-Style Silicon Photonic–Electronic Neural Chip for Hardware-Efficient Deep Learning

ROQ: A Noise-Aware Quantization Scheme Towards Robust Optical Neural Networks with Low-bit Controls

PROCEEDINGS OF THE 2020 DESIGN, AUTOMATION & TEST IN EUROPE CONFERENCE & EXHIBITION (DATE 2020)

Toward Hardware-Efficient Optical Neural Networks: Beyond FFT Architecture via Joint Learnability

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

Efficient On-Chip Learning for Optical Neural Networks Through Power-Aware Sparse Zeroth-Order Optimization

FLOPS: EFficient On-Chip Learning for OPtical Neural Networks Through Stochastic Zeroth-Order Optimization

PROCEEDINGS OF THE 2020 57TH ACM/EDAC/IEEE DESIGN AUTOMATION CONFERENCE (DAC)

ADEPT: Automatic Differentiable DEsign of Photonic Tensor Cores


TRADES (TRadeoff-inspired Adversarial DEfense via Surrogate-loss minimization)

Theoretically Principled Trade-off between Robustness and Accuracy

Reliable evaluation of adversarial robustness with an ensemble of diverse parameter-free attacks

Overfitting in adversarially robust deep learning

Minimally distorted Adversarial Examples with a Fast Adaptive Boundary Attack

A Closer Look at Accuracy vs. Robustness

MMA Training: Direct Input Space Margin Maximization through Adversarial Training

Bag of Tricks for Adversarial Training

Self-Adaptive Training: beyond Empirical Risk Minimization

Boosting Adversarial Training with Hypersphere Embedding

Confidence-Calibrated Adversarial Training: Generalizing to Unseen Attacks


CockroachDB - the open source, cloud-native distributed SQL database.

Blockchains vs. Distributed Databases: Dichotomy and Fusion

Constructing and Analyzing the LSM Compaction Design Space

On the Complexity of Checking Transactional Consistency

CFS: A Distributed File System for Large Scale Container Platforms

ezBFT: Decentralizing Byzantine Fault-Tolerant State Machine Replication

Automated system performance testing at MongoDB

Proceedings of the workshop on Testing Database Systems

Blockchains and Distributed Databases: a Twin Study.

Scalable Querying of Nested Data

Breaking Type Safety in Go: An Empirical Study on the Usage of the unsafe Package

IEEE transactions on software engineering

Testing Database Engines via Query Plan Guidance


Database with battery parameters based on PerMod (HTW Berlin) as well as functions in order to simulate battery storages (manufacturer+model or generic type)


This Repository is implementation of majority of Semantic Segmentation Loss Functions

A survey of loss functions for semantic segmentation

IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology

Boundary-Aware Segmentation Network for Mobile and Web Applications

SemSegLoss: A python package of loss functions for semantic segmentation


A collection of data that was liberated from their publications

A database seed for a community-driven material intensity research platform

Nullius in Verba1: Advancing Data Transparency in Industrial Ecology

A general data model for socioeconomic metabolism and its implementation in an industrial ecology data commons prototype


A FASTQ lossless compression algorithm especially designed for nanopore sequencing FASTQ files.

Real-time analysis of nanopore-based metagenomic sequencing from infected orthopaedic devices

Portable nanopore-sequencing technology: Trends in development and applications

ENANO: Encoder for NANOpore FASTQ files


This repository offers a collection of simulation datasets from mechanical simulations of metamaterials. Jupyter notbooks demonstrate how the datasets can be loaded.

Polyconvex anisotropic hyperelasticity with neural networks

Anisotropic hyperelastic constitutive models for finite deformations combining material theory and data-driven approaches with application to cubic lattice metamaterials

Numerical homogenization of second gradient, linear elastic constitutive models for cubic 3D beam-lattice metamaterials

International journal of solids and structures

Finite electro-elasticity with physics-augmented neural networks

Computer methods in applied mechanics and engineering

Material modeling for parametric, anisotropic finite strain hyperelasticity based on machine learning with application in optimization of metamaterials

International journal for numerical methods in engineering

Nonlinear isogeometric multiscale simulation for design and fabrication of functionally graded knitted textiles

Advanced discretization techniques for hyperelastic physics-augmented neural networks

Parametrised polyconvex hyperelasticity with physics-augmented neural
  networks


The Juelich Rapid Spectral Simulation Code (JURASSIC) is a fast infrared radiative transfer model for the analysis of atmospheric remote sensing measurements.

Fast infrared radiative transfer calculations using graphics processing units: JURASSIC-GPU v2.0


This package is archived and further developed under the name RFSurrogates. In this R-package functions are provided to select important variables and to investigate variable relations using surrogate variables.

Application of random forest based approaches to surface-enhanced Raman scattering data

Surrogate minimal depth as an importance measure for variables in random forests

Exploitation of surrogate variables in random forests for unbiased analysis of mutual impact and importance of features