Many studies have shown that the performance on deep learning is significantly affected by volume of training data. The MedicalNet project provides a series of 3D-ResNet pre-trained models and relative code.

Med3D: Transfer Learning for 3D Medical Image Analysis

Models Genesis

SAM: Self-supervised Learning of Pixel-wise Anatomical Embeddings in
  Radiological Images

A Comprehensive Review of Computer-Aided Diagnosis of Pulmonary Nodules Based on Computed Tomography Scans

Advancing 3D medical image analysis with variable dimension transform based supervised 3D pre-training

Stratification of malignant renal neoplasms from cystic renal lesions using deep learning and radiomics features based on a stacking ensemble CT machine learning algorithm

Hybrid Representation Learning for Cognitive Diagnosis in Late-Life
  Depression Over 5 Years with Structural MRI

Uncertainty estimations methods for a deep learning model to aid in
  clinical decision-making -- a clinician's perspective

A 3D generative model of pathological multi-modal MR images and
  segmentations


Learning RoI Transformer for Detecting Oriented Objects in Aerial Images

Align Deep Features for Oriented Object Detection

Object Detection in Aerial Images: A Large-Scale Benchmark and Challenges

MMRotate: A Rotated Object Detection Benchmark using PyTorch

Proceedings of the 30th ACM International Conference on Multimedia

An Empirical Study of Remote Sensing Pretraining

Arbitrary-Oriented Ship Detection Through Center-Head Point Extraction

Accelerating Deep Learning Applications in Space

AlphaRotate: A Rotation Detection Benchmark using TensorFlow

Exploit Direction Information for Remote Ship Detection


A workflow management system for researchers who heart Unix.

Discriminative Lexical Semantic Segmentation with Gaps: Running the MWE Gamut

Transactions of the Association for Computational Linguistics

A Corpus and Model Integrating Multiword Expressions and Supersenses

North American Chapter of the Association for Computational Linguistics

Identifying the L1 of non-native writers: the CMU-Haifa system

Workshop on Innovative Use of NLP for Building Educational Applications

Sisyphus, a Workflow Manager Designed for Machine Translation and Automatic Speech Recognition

Empirical Methods in Natural Language Processing


PyTorch implementation of MAE https//arxiv.org/abs/2111.06377

Masked Autoencoders Are Scalable Vision Learners

Masked Autoencoders As Spatiotemporal Learners

Label-Efficient Semantic Segmentation with Diffusion Models

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

MultiMAE: Multi-modal Multi-task Masked Autoencoders

Bridging the Gap to Real-World Object-Centric Learning

Uniform Masking: Enabling MAE Pre-training for Pyramid-based Vision
  Transformers with Locality

MILAN: Masked Image Pretraining on Language Assisted Representation

SSL4EO-S12: A Large-Scale Multi-Modal, Multi-Temporal Dataset for
  Self-Supervised Learning in Earth Observation

Efficient Self-supervised Learning with Contextualized Target
  Representations for Vision, Speech and Language


Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

Highly accurate protein structure prediction with AlphaFold

FLEX: Unifying Evaluation for Few-Shot NLP

The Impact of Pathway Database Choice on Statistical Enrichment Analysis and Predictive Modeling

Vetting of 384 TESS Objects of Interest with TRICERATOPS and Statistical Validation of 12 Planet Candidates

Understanding Rare Spurious Correlations in Neural Networks

Exempla Gratis (E.G.): Code Examples for Free

Integration of Structured Biological Data Sources using Biological Expression Language

Rethinking Protein Drug Design with Highly Accurate Structure Prediction of Anti-CRISPR Proteins

What You See is What You Get: Principled Deep Learning via
  Distributional Generalization

FitCLIP: Refining Large-Scale Pretrained Image-Text Models for Zero-Shot
  Video Understanding Tasks


[ICCV 2021] Multitask AET with Orthogonal Tangent Regularity for Dark Object Detection. A self-supervised learning way for low-light image object detection.

Zero-Reference Deep Curve Estimation for Low-Light Image Enhancement

Kindling the Darkness: A Practical Low-light Image Enhancer

PE-YOLO: Pyramid Enhancement Network for Dark Object Detection


Formerly for binary classification with noisy labels. Replaced by cleanlab.

Learning with Confident Examples: Rank Pruning for Robust Classification with Noisy Labels

A Variational Approach for Learning from Positive and Unlabeled Data

Learning Classifiers on Positive and Unlabeled Data with Policy Gradient

Intelligence, physics and information - the tradeoff between accuracy and simplicity in machine learning.

Data quality dimensions for fair AI


Agroecology Map, Knowledge and Practices, is a technological platform that allows the mapping and exchange of Agroecological experiences (Agroforestry) in order to bring people in order to strengthen or/and create new, collaborative networks that enhance the sharing of real (and sometimes imaginary) experiences https://agroecologymap.org


Night-to-Day Image Translation for Retrieval-based Localization

Adverse Weather Image Translation with Asymmetric and Uncertainty-aware
  GAN


Official Pytorch implementation of the ECCV 2022 paper "GIPSO: Geometrically Informed Propagation for Online Adaptation in 3D LiDAR Segmentation"

Segment Any Point Cloud Sequences by Distilling Vision Foundation Models

Annotator: A Generic Active Learning Baseline for LiDAR Semantic
  Segmentation


Stata package for two-sample Mendelian randomization analyses using summary data

Guidelines for performing Mendelian randomization investigations: update for summer 2023

Recent Developments in Mendelian Randomization Studies

Cannabis use and risk of schizophrenia: a Mendelian randomization study

An Overview of Methods and Exemplars of the Use of Mendelian Randomisation in Nutritional Research


corpus and code for joint modeling of dialogue acts and sentiments in social media

DCR-Net: A Deep Co-Interactive Relation Network for Joint Dialog Act Recognition and Sentiment Classification

Multi-task dialog act and sentiment recognition on Mastodon

Co-GAT: A Co-Interactive Graph Attention Network for Joint Dialog Act Recognition and Sentiment Classification

Modeling Local Contexts for Joint Dialogue Act Recognition and Sentiment Classification with Bi-channel Dynamic Convolutions

International Conference on Computational Linguistics

DARER: Dual-task Temporal Relational Recurrent Reasoning Network for Joint Dialog Sentiment Classification and Act Recognition


Image Shortcut Squeezing: Countering Perturbative Availability Poisons with Compression

Learning the Unlearnable: Adversarial Augmentations Suppress Unlearnable
  Example Attacks

Generative Poisoning Using Random Discriminators


inferring sequence-structure motifs using deep learning

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

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


HLA-I ligand predictor

Predicting Antigen Presentation—What Could We Learn From a Million Peptides?

Combined assessment of MHC binding and antigen abundance improves T cell epitope predictions

Computational cancer neoantigen prediction: current status and recent advances

Implications of Antigen Selection on T Cell-Based Immunotherapy

Unraveling tumor specific neoantigen immunogenicity prediction: a comprehensive analysis


Workshop Home Page for Benchmarking: Past, Present and Future

Emerging trends: A gentle introduction to fine-tuning

Is Neuro-Symbolic AI Meeting its Promise in Natural Language Processing?
  A Structured Review

Emerging Trends: SOTA-Chasing

Editorial: Bias, Subjectivity and Perspectives in Natural Language Processing

Benchmarking: Past, Present and Future

Proceedings of the 1st Workshop on Benchmarking: Past, Present and Future


Attention-based NMT with Coverage, Context Gate, and Reconstruction

Modeling Coverage for Neural Machine Translation

Neural Machine Translation with Reconstruction

Context Gates for Neural Machine Translation

Learning to Jointly Translate and Predict Dropped Pronouns with a Shared Reconstruction Mechanism


Clone (~1000) repos matched to query on GitHub using Search API

Learning to Parallelize in a Shared-Memory Environment with Transformers

Advising OpenMP Parallelization via a Graph-Based Approach with
  Transformers

MPI-RICAL: Data-Driven MPI Distributed Parallelism Assistance with Transformers


CL-inical EVE-nt R-ecognizer

Using natural language processing to construct a metastatic breast cancer cohort from linked cancer registry and electronic medical records data

Weakly supervised natural language processing for assessing patient-centered outcome following prostate cancer treatment

Enhanced Quality Measurement Event Detection: An Application to Physician Reporting

Strategies to Address the Lack of Labeled Data for Supervised Machine Learning Training With Electronic Health Records: Case Study for the Extraction of Symptoms From Clinical Notes

A Scalable Machine Learning Approach for Inferring Probabilistic US-LI-RADS Categorization


Package of Optimizer implemented with PyTorch .

Adam: A Method for Stochastic Optimization

On the Variance of the Adaptive Learning Rate and Beyond

Lookahead Optimizer: k steps forward, 1 step back

Adaptive Gradient Methods with Dynamic Bound of Learning Rate


A public repository for the code L-PICOLA

COLA with scale-dependent growth: applications to screened modified gravity models

Journal of Cosmology and Astroparticle Physics

COLA with massive neutrinos

The large-scale structure from non-Gaussian primordial perturbations

Monthly Notices of the Royal Astronomical Society


[ECCV2022] [T-PAMI] StARformer: Transformer with State-Action-Reward Representations.

StARformer: Transformer with State-Action-Reward Representations for Visual Reinforcement Learning


ICLR 2022 Paper, SOTA Table Pre-training Model, TAPEX: Table Pre-training via Learning a Neural SQL Executor

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

On the Potential of Lexico-logical Alignments for Semantic Parsing to SQL Queries

Table-based Fact Verification with Self-labeled Keypoint Alignment


A Python program for calculating the surface SHG yield for semiconductors.

Theory of surface second-harmonic generation for semiconductors including effects of nonlocal operators

Physical review. B, Condensed matter and materials physics

Three-layer model for the surface second-harmonic generation yield including multiple reflections

Improved ab initio calculation of surface second-harmonic generation from Si(111)(1×1):H

Depth-Dependent Three-Layer Model for the Surface Second-Harmonic Generation Yield


An open-source platform for light propagation in birefringent media

Ferroelectric nematic liquid crystalline phases

Control of Light by Topological Solitons in Soft Chiral Birefringent Media

Surface Stabilized Topological Solitons in Nematic Liquid Crystals

Physics-based multistep beam propagation in inhomogeneous birefringent media

Ray-based optical visualisation of complex birefringent structures including energy transport

Photoaligned Liquid Crystal Devices with Switchable Hexagonal Diffraction Patterns


Framework for integrating heterogeneous modalities of data

Computational methods for the integrative analysis of single-cell data

Schema: metric learning enables interpretable synthesis of heterogeneous single-cell modalities

Metric learning enables synthesis of heterogeneous single-cell modalities


Implements synchrotron emission from cooling electrons

Prompt Emission and Early Optical Afterglow of Very-high-energy Detected GRB 201015A and GRB 201216C: Onset of the External Forward Shock

Improving INTEGRAL/SPI data analysis of GRBs


Graph Neural Networks to predict the cosmological parameters or the galaxy power spectrum from galaxy catalogs.

Learning Cosmology and Clustering with Cosmic Graphs

Robust Field-level Likelihood-free Inference with Galaxies

Robust Field-level Inference of Cosmological Parameters with Dark Matter Halos

Robust field-level inference with dark matter halos

A universal equation to predict Ω_ m from halo and galaxy
  catalogues


Learning Models of Adversarial Agent Behavior Under Partial Observability

Adversarial Search and Tracking with Multiagent Reinforcement Learning in Sparsely Observable Environment

Diffusion Models for Multi-target Adversarial Tracking


Hydrology and Climate Forecasting R package


Auto-Encoding Variational Bayes

Symmetric Variational Autoencoder and Connections to Adversarial Learning

Are generative deep models for novelty detection truly better?


Official PyTorch implementation of "Puzzle Mix: Exploiting Saliency and Local Statistics for Optimal Mixup" (ICML'20)

TransMix: Attend to Mix for Vision Transformers

A Unified Analysis of Mixed Sample Data Augmentation: A Loss Function
  Perspective

ExCon: Explanation-driven Supervised Contrastive Learning for Image Classification

SAGE: Saliency-Guided Mixup with Optimal Rearrangements


This repo is a collection of AWESOME things about fake news detection, including papers, code, etc.

Fake News Detection on Social Media: A Data Mining Perspective

CSI: A Hybrid Deep Model for Fake News Detection

International Conference on Information and Knowledge Management

EANN: Event Adversarial Neural Networks for Multi-Modal Fake News Detection

Detection and Resolution of Rumours in Social Media: A Survey

dEFEND: Explainable Fake News Detection

PROCEEDINGS OF THE 28TH ACM INTERNATIONAL CONFERENCE ON INFORMATION & KNOWLEDGE MANAGEMENT (CIKM '19)

Beyond News Contents: The Role of Social Context for Fake News Detection

Multimodal Fusion with Recurrent Neural Networks for Rumor Detection on Microblogs

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

MVAE: Multimodal Variational Autoencoder for Fake News Detection

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

FANG: Leveraging Social Context for Fake News Detection Using Graph Representation

Rumor Detection with Hierarchical Social Attention Network


Smoke detection via semantic segmentation using Baseline U-Net model & LinkNet and image augmentation

LinkNet: Exploiting Encoder Representations for Efficient Semantic Segmentation

Visual Communications and Image Processing

Scalable Fire and Smoke Segmentation from Aerial Images Using Convolutional Neural Networks and Quad-Tree Search

Transmission-Guided Bayesian Generative Model for Smoke Segmentation


Bitnodes estimates the relative size of the Bitcoin peer-to-peer network by finding all of its reachable nodes.

Deanonymisation of clients in Bitcoin P2P network

A First Look into the Structural Properties and Resilience of Blockchain
  Overlays

On the Estimation of the Number of Unreachable Peers in the Bitcoin P2P Network by Observation of Peer Announcements


Codebase for reproducible benchmarking experiments in MedMNIST v2

MedMNIST v2 - A large-scale lightweight benchmark for 2D and 3D biomedical image classification

Adversarial Auto-Augment with Label Preservation: A Representation
  Learning Principle Guided Approach

GPT4MIA: Utilizing Generative Pre-trained Transformer (GPT-3) as A
  Plug-and-Play Transductive Model for Medical Image Analysis


The Deep Learning guts that you're all curious about

Deep Residual Learning for Image Recognition

Instance Normalization: The Missing Ingredient for Fast Stylization

Faster gaze prediction with dense networks and Fisher pruning


An adversarial example library for constructing attacks, building defenses, and benchmarking both

Explaining and Harnessing Adversarial Examples

The Limitations of Deep Learning in Adversarial Settings

Practical Black-Box Attacks against Machine Learning

Technical Report on the CleverHans v2.1.0 Adversarial Examples Library

Imperceptible, Robust, and Targeted Adversarial Examples for Automatic Speech Recognition

Disappeared Command: Spoofing Attack On Automatic Speech Recognition
  Systems with Sound Masking


Official PyTorch implementation for the paper Minimizing Trajectory Curvature of ODE-based Generative Models, ICML 2023

Diffusion Models Beat GANs on Image Synthesis

Elucidating the Design Space of Diffusion-Based Generative Models

Flow Straight and Fast: Learning to Generate and Transfer Data with
  Rectified Flow


catalog for long-read sequencing tools

Opportunities and challenges in long-read sequencing data analysis

Application and Challenge of 3rd Generation Sequencing for Clinical Bacterial Studies

Techniques in life science and biomedicine for the non-expert

Comparative Analysis of PacBio and Oxford Nanopore Sequencing Technologies for Transcriptomic Landscape Identification of Penaeus monodon


The Mingled Structured Predictor

A Two-Step Approach for Implicit Event Argument Detection

Meeting of the Association for Computational Linguistics

A Survey of Active Learning for Natural Language Processing

Comparing Span Extraction Methods for Semantic Role Labeling

SPNLP 2021: THE 5TH WORKSHOP ON STRUCTURED PREDICTION FOR NLP

An Empirical Investigation of Structured Output Modeling for Graph-based Neural Dependency Parsing

On the Benefit of Syntactic Supervision for Cross-lingual Transfer in Semantic Role Labeling

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

Transfer Learning from Semantic Role Labeling to Event Argument Extraction with Template-based Slot Querying

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


Revisiting Uncertainty-based Query Strategies for Active Learning with Transformers

Identifying the Human Values behind Arguments

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

The Touché23-ValueEval Dataset for Identifying Human Values behind
  Arguments

Clickbait Spoiling via Question Answering and Passage Retrieval

The Moral Debater: A Study on the Computational Generation of Morally Framed Arguments

Small-Text: Active Learning for Text Classification in Python


vertex cover solver

Scalable Kernelization for Maximum Independent Sets

On the Power of Simple Reductions for the Maximum Independent Set Problem

WeGotYouCovered: The Winning Solver from the PACE 2019 Implementation Challenge, Vertex Cover Track.

An Updated Experimental Evaluation of Graph Bipartization Methods


An open-source library for reduced-density matrix-based analysis and computation

Large-Scale Variational Two-Electron Reduced-Density-Matrix-Driven Complete Active Space Self-Consistent Field Methods

Journal of chemical theory and computation

A Heterogeneous CPU + GPU Algorithm for Variational Two-Electron Reduced-Density Matrix Driven Complete Active Space Self-Consistent Field Theory

Combining pair-density functional theory and variational two-electron
  reduced-density matrix methods

Global hybrid multiconfiguration pair-density functional theory


PubMedQA: A Dataset for Biomedical Research Question Answering

SentiMedQAer: A Transfer Learning-Based Sentiment-Aware Model for Biomedical Question Answering


NN-EMD framework: efficiently training neural networks using encrypted multi-sourced datasets

CryptoNN: Training Neural Networks over Encrypted Data

Privacy-Preserving Machine Learning: Methods, Challenges and Directions

NN-EMD: Efficiently Training Neural Networks Using Encrypted Multi-Sourced Datasets


Machine Learning-based prediction of COVID-19 diagnosis based on symptoms

NSGA-II as feature selection technique and AdaBoost classifier for COVID-19 prediction using patient’s symptoms

Initial Stage COVID-19 Detection System Based on Patients' Symptoms and Chest X-Ray Images

Metode Klasifikasi Gejala Penyakit Coronavirus Disease 19 (COVID-19) Menggunakan Algoritma Neural Network

Jurnal Sistem Informasi dan Komputer/Jurnal Sisfokom

Rule Extraction for Screening of COVID-19 Disease Using Granular Computing Approach

Computational and mathematical methods in medicine

COVID-19 Predictive Models Based on Grammatical Evolution


Morpho-MNIST: Quantitative Assessment and Diagnostics for Representation Learning (http://jmlr.org/papers/v20/19-033.html)

From Identifiable Causal Representations to Controllable Counterfactual
  Generation: A Survey on Causal Generative Modeling


"Towards Semi-supervised Learning with Non-random Missing Labels" by Yue Duan (ICCV 2023)

MutexMatch: Semi-Supervised Learning With Mutex-Based Consistency Regularization

RDA: Reciprocal Distribution Alignment for Robust Semi-supervised Learning


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

Вестник компьютерных и информационных технологий

Learning Incompressible Fluid Dynamics from Scratch -- Towards Fast, Differentiable Fluid Models that Generalize

Spline-PINN: Approaching PDEs without Data Using Fast, Physics-Informed Hermite-Spline CNNs

Teaching the incompressible Navier–Stokes equations to fast neural surrogate models in three dimensions


Predify: Augmenting deep neural networks with brain-inspired predictive coding dynamics

Brain-Inspired Computational Intelligence via Predictive Coding

An Overview of Open Source Deep Learning-Based Libraries for Neuroscience


GRAbB (Genome Region Assembly by Baiting) is a program designed to assemble selected regions of the genome or transcriptome using reference sequences and NGS data.

Phylogeny of dermatophytes with genomic character evaluation of clinically distinct Trichophyton rubrum and T. violaceum.

GRAbB: Selective Assembly of Genomic Regions, a New Niche for Genomic Research

Population Genomic Analysis Reveals a Highly Conserved Mitochondrial Genome in Fusarium asiaticum


Reference transcriptome indices build from kallisto for popular organisms

Gut microbial trimethylamine is elevated in alcohol-associated hepatitis and contributes to ethanol-induced liver injury in mice

Human Endogenous Retrovirus Expression Is Associated with Head and Neck Cancer and Differential Survival

Identification of a Transcriptomic Prognostic Signature by Machine Learning Using a Combination of Small Cohorts of Prostate Cancer

A single-cell transcriptional gradient in human cutaneous memory T cells restricts Th17/Tc17 identity

GSK3α Regulates Temporally Dynamic Changes in Ribosomal Proteins upon Amino Acid Starvation in Cancer Cells

International journal of molecular sciences

Venetoclax durable response in adult relapsed/refractory Philadelphia-negative acute lymphoblastic leukemia with JAK/STAT pathway alterations

Frontiers in cell and developmental biology


CircuMat is a modified (forked) version of Rama-Scene EIT Raw Materials project related to analyzing Environmentally Extended Input-Output (EEIO) tables. CircuMat focuses on NUTS2 level classification as opposed to Rama-Scene country level analysis tool.


A toolbox for working with Allen Human Brain Atlas microarray expression data

Topographic gradients of intrinsic dynamics across neocortex

Pubertal timing and functional neurodevelopmental alterations independently mediate the effect of family conflict on adolescent psychopathology

Transcriptional and cellular signatures of cortical morphometric remodelling in chronic pain

Integrating neuroimaging and gene expression data using the imaging transcriptomics toolbox

P.0276 Cellular and molecular signatures of in vivo gabaergic neurotransmission in the human brain

Transcriptional signatures of the whole-brain voxel-wise resting-state functional network centrality alterations in schizophrenia

Compressed primary‐to‐transmodal gradient is accompanied with subcortical alterations and linked to neurotransmitters and cellular signatures in major depressive disorder

Genes Associated with Altered Brain Structure and Function in Obstructive Sleep Apnea


How Powerful are Graph Neural Networks?

On the equivalence between graph isomorphism testing and function approximation with GNNs

Relational Pooling for Graph Representations

Eigen-GNN: A Graph Structure Preserving Plug-in for GNNs

State of the Art and Potentialities of Graph-level Learning


Topological data analysis tools for cross correlation matrices

Clique topology reveals intrinsic geometric structure in neural correlations

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

Hippocampal spatial representations exhibit a hyperbolic geometry that expands with experience

Geometry of spiking patterns in early visual cortex: a Topological Data Analytic approach

Clique topology of real symmetric matrices


LIBS2ML: A Library for Scalable Second Order Machine Learning Algorithms

On the Use of Stochastic Hessian Information in Optimization Methods for Machine Learning

Stochastic trust region inexact Newton method for large-scale machine learning

International journal of machine learning and cybernetics


Fast decision tree software in spherical coordinates for finding objects contaminated by artifacts in images. Highly optimized for large data sets and high number of masks.

Constraints on Cosmology and Baryonic Feedback with the Deep Lens Survey Using Galaxy–Galaxy and Galaxy–Mass Power Spectra

Evidence for a Highly Opaque Large-scale Galaxy Void at the End of Reionization

Constraining Dark Energy with Stacked Concave Lenses

Testing the Large-scale Environments of Cool-core and Non-cool-core Clusters with Clustering Bias


An ultra-fast, GPU-based large graph embedding algorithm utilizing a novel coarsening algorithm requiring not more than a single GPU.

VERSE: Versatile Graph Embeddings from Similarity Measures

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

Cleora: A Simple, Strong and Scalable Graph Embedding Scheme

GOSH: Embedding Big Graphs on Small Hardware

PROCEEDINGS OF THE 49TH INTERNATIONAL CONFERENCE ON PARALLEL PROCESSING, ICPP 2020

Understanding Coarsening for Embedding Large-Scale Graphs


IsoScore is the first tool available in the literature that accurately measures isotropy in embedding space.

IsoScore: Measuring the Uniformity of Embedding Space Utilization

Stable Anisotropic Regularization


Population-scale single-cell RNA-seq profiling across dopaminergic neuron differentiation

Optimizing expression quantitative trait locus mapping workflows for single-cell studies

Cell type-specific and disease-associated eQTL in the human lung

bioRxiv : the preprint server for biology


A complete paper list of Single-Object Visual Tracking Algorithms, Surveys and Benchmarks of recent years. Different from existing paper list, this project doesn't simply category the papers by publishment, but from a tracking challenge-tackling perspective.

Fully-Convolutional Siamese Networks for Object Tracking

Learning Multi-Domain Convolutional Neural Networks for Visual Tracking

Beyond Correlation Filters: Learning Continuous Convolution Operators for Visual Tracking

Staple: Complementary Learners for Real-Time Tracking

End-to-end representation learning for Correlation Filter based tracking

Discriminative Correlation Filter with Channel and Spatial Reliability

International journal of computer vision

Distractor-aware Siamese Networks for Visual Object Tracking

Learning Background-Aware Correlation Filters for Visual Tracking

Learning to Track at 100 FPS with Deep Regression Networks

Siamese Instance Search for Tracking


Hierarchical Gating Networks for Sequential Recommendation

RetaGNN: Relational Temporal Attentive Graph Neural Networks for Holistic Sequential Recommendation

HAM: Hybrid Associations Models for Sequential Recommendation

FairSR: Fairness-aware Sequential Recommendation through Multi-Task Learning with Preference Graph Embeddings

ACM transactions on intelligent systems and technology

Initialization Matters: Regularizing Manifold-informed Initialization for Neural Recommendation Systems

HAM: Hybrid Associations Model with Pooling for Sequential Recommendation.

Capturing Popularity Trends: A Simplistic Non-Personalized Approach for Enhanced Item Recommendation

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management

Recursive Attentive Methods with Reused Item Representations for
  Sequential Recommendation


This repository contains the collection of UCI (real-life) datasets and Synthetic (artificial) datasets (with cluster labels and MATLAB files) ready to use with clustering algorithms.

FREDPC: A Feasible Residual Error-Based Density Peak Clustering Algorithm With the Fragment Merging Strategy

Grid-Based Clustering Using Boundary Detection

A novel density deviation multi-peaks automatic clustering algorithm


[ICLR 2023] "Dilated convolution with learnable spacings" Ismail Khalfaoui Hassani, Thomas Pellegrini and Timothée Masquelier

Dilated Convolution with Learnable Spacings: beyond bilinear
  interpolation


Weighted Wavelet Z-Transform Code for Python

A 31.3 day Transient Quasiperiodic Oscillation in Gamma-ray Emission from Blazar S5 0716+714

Polarized Optical Emission of the Blazar PKS 1222+216: Discovery of A
  420-day Quasi-Periodic Signal

The Detection of Possible Transient Quasiperiodic Oscillations in the γ-Ray Light Curve of PKS 0244-470 and 4C+38.41

eaydin/WWZ: First release


A Continual Multi-agent RL testbed based on Hanabi

On Tiny Episodic Memories in Continual Learning

Understanding the Role of Training Regimes in Continual Learning

Continuous Coordination As a Realistic Scenario for Lifelong Learning


Largest list of Arabic stop words on Github. أكبر قائمة لمستبعدات الفهرسة العربية على جيت هاب

Arabic Sentiment Classification Using Convolutional Neural Network and Differential Evolution Algorithm

Computational intelligence and neuroscience

Multilingual topic modeling for tracking COVID-19 trends based on Facebook data analysis

Applied intelligence (Dordrecht, Netherlands)

OSACT4 Shared Task on Offensive Language Detection: Intensive Preprocessing-Based Approach

Arabic Offensive Language Detection Using Machine Learning and Ensemble Machine Learning Approaches.

Discovering Urban Governance Parameters for Online Learning in Saudi Arabia During COVID-19 Using Topic Modeling of Twitter Data

Kawarith: an Arabic Twitter Corpus for Crisis Events

Workshop on Arabic Natural Language Processing

Combining Context-Free and Contextualized Representations for Arabic Sarcasm Detection and Sentiment Identification


Quantum machine learning of graph-structured data

Application of deep quantum neural networks to finance

Learning Quantum Processes with Memory -- Quantum Recurrent Neural
  Networks


SVG based genome viewer written in javascript using D3

IslandViewer 3: more flexible, interactive genomic island discovery, visualization and analysis

WoPPER: Web server for Position Related data analysis of gene Expression in Prokaryotes

GenomeD3Plot: a library for rich, interactive visualizations of genomic data in web applications


The rep for the RotateNetworks in ICPR18, Beijing, China.

Rotate your Networks: Better Weight Consolidation and Less Catastrophic Forgetting

Learning to Transfer with von Neumann Conditional Divergence


A Cryptographic Inference Service for Neural Networks

CrypTFlow2: Practical 2-Party Secure Inference

GALA: Greedy ComputAtion for Linear Algebra in Privacy-Preserved Neural Networks

AESPA: Accuracy Preserving Low-degree Polynomial Activation for Fast
  Private Inference

SOTERIA: In Search of Efficient Neural Networks for Private Inference

Tabula: Efficiently Computing Nonlinear Activation Functions for Secure
  Neural Network Inference


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

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

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

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

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

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

Detecting spatial ontogenetic niche shifts in complex dendritic ecological networks

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

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

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


Code to train Importance Weighted Autoencoders on MNIST and OMNIGLOT

Stochastic Backpropagation and Approximate Inference in Deep Generative Models

Importance Weighted Autoencoders

Ladder Variational Autoencoders

VAE with a VampPrior

Fixing a Broken ELBO

Sylvester Normalizing Flows for Variational Inference

Rényi Divergence Variational Inference

Discrete Variational Autoencoders

Dirichlet Variational Autoencoder

An information-theoretic analysis of deep latent-variable models


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

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

A Deep Reinforced Model for Abstractive Summarization

R-Drop: Regularized Dropout for Neural Networks

Better Fine-Tuning by Reducing Representational Collapse


Datasets for the task of tracing diachronic semantic shifts in Russian for two large-scale time period pairs (from pre-Soviet to Soviet times [<1917 -> 1918-1990] & from Soviet to post-Soviet times [1918-1990 -> 1990-2017])

SemEval-2020 Task 1: Unsupervised Lexical Semantic Change Detection

RuSemShift: a dataset of historical lexical semantic change in Russian

ELMo and BERT in semantic change detection for Russian


Code Repository for: "Characterization of Industrial Smoke Plumes from Remote Sensing Data", presented at Tackling Climate Change with Machine Learning workshop at NeurIPS 2020.


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

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

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

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


Learning Passage Impacts for Inverted Indexes

Faster Learned Sparse Retrieval with Guided Traversal

SpaDE: Improving Sparse Representations using a Dual Document Encoder for First-stage Retrieval

Proceedings of the 31st ACM International Conference on Information & Knowledge Management

An Analysis on Matching Mechanisms and Token Pruning for Late-interaction Models

ACM transactions on office information systems


This is the official pytorch implementation of AutoDebias, an automatic debiasing method for recommendation.

AutoDebias: Learning to Debias for Recommendation

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

ESCM2: Entire Space Counterfactual Multi-Task Model for Post-Click Conversion Rate Estimation

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

Reconsidering Learning Objectives in Unbiased Recommendation: A Distribution Shift Perspective

Entire Space Counterfactual Learning: Tuning, Analytical Properties and
  Industrial Applications


DOCK 6: Impact of new features and current docking performance

Fast, accurate, and reliable molecular docking with QuickVina 2

Protein-Ligand Blind Docking Using QuickVina-W With Inter-Process Spatio-Temporal Integration

PSOVina: The hybrid particle swarm optimization algorithm for protein-ligand docking

Journal of bioinformatics and computational biology

GWOVina: A grey wolf optimization approach to rigid and flexible receptor docking

FWAVina: A novel optimization algorithm for protein-ligand docking based on the fireworks algorithm


Confidence sequences and uniform boundaries

Estimating means of bounded random variables by betting

Game-theoretic statistics and safe anytime-valid inference

Sequential estimation of quantiles with applications to A/B testing and best-arm identification

Confidence sequences for sampling without replacement

Comparing Sequential Forecasters


Photometric Classification of Astronomical Transients and Variables With Biased Spectroscopic Samples

Convolutional Conditional Neural Processes

Avocado: Photometric Classification of Astronomical Transients with Gaussian Process Augmentation

Optimizing a magnitude-limited spectroscopic training sample for photometric classification of supernovae

Monthly Notices of the Royal Astronomical Society


Creative Commons Attribution 4.0 International

ReaSCAN is a synthetic navigation task that requires models to reason about surroundings over syntactically difficult languages. (NeurIPS '21)

A Benchmark for Systematic Generalization in Grounded Language Understanding

Inducing Causal Structure for Interpretable Neural Networks

ReaSCAN: Compositional Reasoning in Language Grounding

Systematic Generalization on gSCAN with Language Conditioned Embedding


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

XGBoost: A Scalable Tree Boosting System

Optuna: A Next-generation Hyperparameter Optimization Framework

CatBoost: gradient boosting with categorical features support

FLAML: A Fast and Lightweight AutoML Library

Missing Data Infill with Automunge


Functions to assess quality of spike sorting results

Does Impedance Matter When Recording Spikes With Polytrodes?

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

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


Python API for PSOPS (Power System Optimal Parameter Selection)

Feasibility Study of Neural ODE and DAE Modules for Power System Dynamic Component Modeling

Exploration of Artificial-intelligence Oriented Power System Dynamic Simulators

Journal of modern power systems and clean energy

Exploration of AI-Oriented Power System Transient Stability Simulations.


Implementation of VLAE

Learning Hierarchical Features from Generative Models

Multi-Facet Clustering Variational Autoencoders

Learning Hierarchical Features with Joint Latent Space Energy-Based Prior


LINe: Out-of-Distribution Detection by Leveraging Important Neurons (CVPR 2023)

Describing Textures in the Wild

The iNaturalist Species Classification and Detection Dataset


PointPillars for KITTI object detection

nuScenes: A multimodal dataset for autonomous driving

PointPillars: Fast Encoders for Object Detection from Point Clouds

PointPainting: Sequential Fusion for 3D Object Detection

IoU Loss for 2D/3D Object Detection

Robust Multi-Modality Multi-Object Tracking

What You See is What You Get: Exploiting Visibility for 3D Object Detection

MAFF-Net: Filter False Positive for 3D Vehicle Detection with Multi-modal Adaptive Feature Fusion

Quantifying the LiDAR Sim-to-Real Domain Shift: A Detailed Investigation Using Object Detectors and Analyzing Point Clouds at Target-Level

IEEE transactions on intelligent vehicles


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

Deep Learning on Graphs: A Survey

Graph Classification using Structural Attention

State of the Art and Potentialities of Graph-level Learning


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

Language as Queries for Referring Video Object Segmentation

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

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

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

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


Creative Commons Attribution Share Alike 4.0 International

A global homogenised database of active faults maintained by the GEM Foundation

The GEM Global Active Faults Database

Landslide and Wildfire Susceptibility Assessment in Southeast Asia Using Ensemble Machine Learning Methods

Influence of tectonics on global scale distribution of geological methane emissions

InSAR-Based Mapping to Support Decision-Making after an Earthquake

Kinematics and Dynamics of the 24 January 2020 Mw 6.7 Elazig, Turkey Earthquake

Clustering Analysis of Seismicity in the Anatolian Region with Implications for Seismic Hazard


Model-agnostic posthoc calibration without distributional assumptions

On Calibration of Modern Neural Networks

Distribution-free binary classification: prediction sets, confidence intervals and calibration

Distribution-free calibration guarantees for histogram binning without sample splitting

Top-label calibration and multiclass-to-binary reductions

Online Platt Scaling with Calibeating


Graph-based Dependency Parser

Hierarchical Low-Rank Tensors for Multilingual Transfer Parsing

Empirical Methods in Natural Language Processing

High-Order Low-Rank Tensors for Semantic Role Labeling

North American Chapter of the Association for Computational Linguistics

RACAI's Natural Language Processing pipeline for Universal Dependencies

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

Parsing Paraphrases with Joint Inference

The Association for Computational Linguistics

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

Conference of the European Chapter of the Association for Computational Linguistics


Ten Thousand German News Articles Dataset for Topic Classification

German BERT Model for Legal Named Entity Recognition

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

More Than Words: Collocation Retokenization for Latent Dirichlet Allocation Models

Findings of the Association for Computational Linguistics: ACL 2022


Offline calculation of particle trajectories

Eddy-driven subduction exports particulate organic carbon from the spring bloom

Spiraling pathways of global deep waters to the surface of the Southern Ocean

Pathways of ocean heat towards Pine Island and Thwaites grounding lines

Transformation of Deep Water Masses Along Lagrangian Upwelling Pathways in the Southern Ocean

A Deep Eastern Boundary Current Carrying Indian Deep Water South of Australia

Numerical Simulations to Project Argo Float Positions in the Middepth and Deep Southwest Pacific

Journal of atmospheric and oceanic technology

Eddy‐Induced Acceleration of Argo Floats


Towards Reverse-Engineering Black-Box Neural Networks, ICLR'18

Explaining and Harnessing Adversarial Examples

Delving into Transferable Adversarial Examples and Black-box Attacks

Unraveling Attacks in Machine Learning-based IoT Ecosystems: A Survey and the Open Libraries Behind Them


A tool to model the bath relaxation dynamics of open quantum systems by Lindblad and Hierarchical Equations of Motion (HEOM) approaches.

Thermalization of noninteracting quantum systems coupled to blackbody radiation: A Lindblad-based analysis

MLQD: A package for machine learning-based quantum dissipative dynamics

QD3SET-1: A Database with Quantum Dissipative Dynamics Data Sets


Evaluating the Robustness of Semantic Segmentation for Autonomous Driving against Real-World Adversarial Patch Attacks

On the Real-World Adversarial Robustness of Real-Time Semantic Segmentation Models for Autonomous Driving

Physical Adversarial Attacks for Camera-Based Smart Systems: Current Trends, Categorization, Applications, Research Challenges, and Future Outlook

Uncertainty-based Detection of Adversarial Attacks in Semantic
  Segmentation


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

Building Machine Translation Systems for the Next Thousand Languages

Glot500: Scaling Multilingual Corpora and Language Models to 500 Languages

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

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

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


Practical low-rank gradient compression for distributed optimization:  https://arxiv.org/abs/1905.13727

Zero-Shot Text-to-Image Generation

PowerSGD: Practical Low-Rank Gradient Compression for Distributed Optimization

Natural Compression for Distributed Deep Learning

PowerGossip: Practical Low-Rank Communication Compression in
  Decentralized Deep Learning

Rethinking gradient sparsification as total error minimization

Adaptive Gradient Communication via Critical Learning Regime Identification

IntSGD: Adaptive Floatless Compression of Stochastic Gradients

S2 Reducer: High-Performance Sparse Communication to Accelerate Distributed Deep Learning


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

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

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

Journal of chemical information and modeling

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


Python based multi-component SED fitting package

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

The star formation properties of the observed and simulated AGN Universe: BAT versus EAGLE

Monthly notices of the Royal Astronomical Society

The demographics of obscured AGN from X-ray spectroscopy guided by multiwavelength information

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


ROS-based software framework for the igus Humanoid Open Platform.

Child-sized 3D Printed igus Humanoid Open Platform

NimbRo-OP2X: Adult-sized Open-source 3D Printed Humanoid Robot

NimbRo-OP2: Grown-up 3D Printed Open Humanoid Platform for Research

RoboCup 2019 AdultSize Winner NimbRo: Deep Learning Perception, In-Walk Kick, Push Recovery, and Team Play Capabilities

RoboCup 2016 Humanoid TeenSize Winner NimbRo: Robust Visual Perception and Soccer Behaviors

Grown-up NimbRo Robots Winning RoboCup 2017 Humanoid AdultSize Soccer
  Competitions

The igus Humanoid Open Platform: A Child-sized 3D Printed Open-Source Robot for Research

NimbRo Robots Winning RoboCup 2018 Humanoid AdultSize Soccer Competitions

Bipedal Walking with Corrective Actions in the Tilt Phase Space

RoboCup 2022 AdultSize Winner NimbRo: Upgraded Perception, Capture Steps
  Gait and Phase-based In-walk Kicks


A spatially explicit trait- and individual-based microbial systems modelling framework

A trait-based approach for modelling microbial litter decomposition.

Consequences of drought tolerance traits for microbial decomposition in the DEMENT model

Soil biology and biochemistry/Soil biology & biochemistry

Emergent properties of organic matter decomposition by soil enzymes

Drought legacies mediated by trait trade-offs in soil microbiomes


Code for the paper entitled "PolyLaneNet: Lane Estimation via Deep Polynomial Regression" (ICPR 2020)

Towards Driving-Oriented Metric for Lane Detection Models

On Robustness of Lane Detection Models to Physical-World Adversarial Attacks in Autonomous Driving.


PyTorch implementation of "BernNet: Learning Arbitrary Graph Spectral Filters via Bernstein Approximation"

Convolutional Neural Networks on Graphs with Chebyshev Approximation,
  Revisited

A Piece-wise Polynomial Filtering Approach for Graph Neural Networks

Feature Expansion for Graph Neural Networks

Infinite-Horizon Graph Filters: Leveraging Power Series to Enhance
  Sparse Information Aggregation


Point-GCC: Universal Self-supervised 3D Scene Pre-training via  Geometry-Color Contrast

Autoencoders as Cross-Modal Teachers: Can Pretrained 2D Image
  Transformers Help 3D Representation Learning?

Contrast with Reconstruct: Contrastive 3D Representation Learning Guided
  by Generative Pretraining


Fast, Accurate, Mask-Aware Face Recognition SDK with Liveness Detection

FaceNet: A Unified Embedding for Face Recognition and Clustering

SphereFace: Deep Hypersphere Embedding for Face Recognition

VGGFace2: A dataset for recognising faces across pose and age

A Light CNN for Deep Face Representation with Noisy Labels

Deep Polynomial Neural Networks

IEEE transactions on pattern analysis and machine intelligence

Controllable and Guided Face Synthesis for Unconstrained Face Recognition

Face Recognition Accuracy Across Demographics: Shining a Light Into the Problem

GhostFaceNets: Lightweight Face Recognition Model From Cheap Operations

A realistic approach to generate masked faces applied on two novel masked face recognition data sets

Rethinking Bias Mitigation: Fairer Architectures Make for Fairer Face
  Recognition


[ECCV 2022] URUST: Ultra-high-resolution unpaired stain transformation via Kernelized Instance Normalization

Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks

The Spatially-Correlative Loss for Various Image Translation Tasks


Distilling the Knowledge in a Neural Network

Pruning Filters for Efficient ConvNets

Learned Step Size Quantization

AutoSlim: Towards One-Shot Architecture Search for Channel Numbers

Ensemble Knowledge Distillation for Learning Improved and Efficient Networks


A Malware classifier dataset built with header fields’ values of Portable Executable files

A learning model to detect maliciousness of portable executable using integrated feature set

Journal of King Saud University: Computer and Information Sciences

Classification of malware based on file content and characteristics

Knowledge-Based Dataset for Training PE Malware Detection Models


Repository for crowd tracking and robot performance evaluation in experiments

Avoidance of Convex and Concave Obstacles With Convergence Ensured Through Contraction

International Conference on Robotics and Automation

Unpowered Lower-Body Exoskeleton with Torso Lifting Mechanism for Supporting Sit-to-Stand Transitions

Personal Mobility With Synchronous Trunk–Knee Passive Exoskeleton: Optimizing Human–Robot Energy Transfer

Reactive Navigation in Crowds for Non-Holonomic Robots With Convex Bounding Shape

Control Interface for Hands-free Navigation of Standing Mobility Vehicles based on Upper-Body Natural Movements

Pedestrian-Robot Interactions on Autonomous Crowd Navigation: Reactive Control Methods and Evaluation Metrics


SCALE-UP: An Efficient Black-box Input-level Backdoor Detection via
  Analyzing Scaled Prediction Consistency

Domain Watermark: Effective and Harmless Dataset Copyright Protection is
  Closed at Hand


Rethinking the Truly Unsupervised Image-to-Image Translation - Official PyTorch Implementation (ICCV 2021)

Smoothing the Disentangled Latent Style Space for Unsupervised Image-to-Image Translation

Smooth image-to-image translations with latent space interpolations


Transcriptomic tools to classify bladder tumours according to six published molecular classifications : Baylor, UNC, MDA, Lund, CIT-Curie, TCGA

A Consensus Molecular Classification of Muscle-invasive Bladder Cancer

NKG2A and PD-L1 expression panel predicts clinical benefits from adjuvant chemotherapy and PD-L1 blockade in muscle-invasive bladder cancer

Development of a Molecular-Subtype-Associated Immune Prognostic Signature That Can Be Recognized by MRI Radiomics Features in Bladder Cancer

Improved Bladder Tumor RNA Isolation from Archived Tissues Using Methylene Blue for Normalization, Multiplex RNA Hybridization, Sequencing and Subtyping

International journal of molecular sciences

Integrative tumour mutation burden with CD39 and PD-L1 for the prediction of response to PD-L1 blockade and adjuvant chemotherapy in muscle-invasive bladder cancer patients


Uber trip data from a freedom of information request to NYC's Taxi & Limousine Commission

Graph Neural Network for Traffic Forecasting: A Survey

RIoTBench: An IoT benchmark for distributed stream processing systems

Benchmarking Distributed Stream Processing Platforms for IoT Applications

Identifying the Topology of Undirected Networks From Diffused Non-Stationary Graph Signals

Traffic prediction using artificial intelligence: Review of recent advances and emerging opportunities

Transportation research. Part C, Emerging technologies

The Multivariate Generalised von Mises Distribution: Inference and Applications

Stable and consistent density-based clustering via multiparameter
  persistence

The Maximum Trajectory Coverage Query in Spatial Databases

On Re-Balancing Self-Interested Agents in Ride-Sourcing Transportation Networks

Pseudo-PFLOW: Development of nationwide synthetic open dataset for
  people movement based on limited travel survey and open statistical data


Bayesian Assessment of Hypotheses

Not All Claims are Created Equal: Choosing the Right Statistical Approach to Assess Hypotheses

Experimental Standards for Deep Learning in Natural Language Processing Research

NLPStatTest: A Toolkit for Comparing NLP System Performance


Official code for the Stochastic Polyak step-size optimizer

Gradient Centralization: A New Optimization Technique for Deep Neural Networks

Stochastic Polyak Step-size for SGD: An Adaptive Learning Rate for Fast Convergence

DoG is SGD's Best Friend: A Parameter-Free Dynamic Step Size Schedule

Cutting Some Slack for SGD with Adaptive Polyak Stepsizes

A Stochastic Proximal Polyak Step Size

Comment on Stochastic Polyak Step-Size: Performance of ALI-G

Adaptive Federated Learning with Auto-Tuned Clients

Locally Adaptive Federated Learning via Stochastic Polyak Stepsizes


Source code of The Neural Hawkes Process (NIPS 2017)

The Neural Hawkes Process: A Neurally Self-Modulating Multivariate Point Process

A Multi-Channel Neural Graphical Event Model with Negative Evidence

Modeling Continuous Time Sequences with Intermittent Observations using Marked Temporal Point Processes

ACM transactions on intelligent systems and technology


Code repository for Ensemble Bayesian Optimization

Batched Large-scale Bayesian Optimization in High-dimensional Spaces

Re-Examining Linear Embeddings for High-Dimensional Bayesian Optimization

Sample-Then-Optimize Batch Neural Thompson Sampling

Comparison of High-Dimensional Bayesian Optimization Algorithms on BBOB


Official implementation of the paper Visual Parser: Representing Part-whole Hierarchies with Transformers

Bottleneck Transformers for Visual Recognition

Scaling Local Self-Attention for Parameter Efficient Visual Backbones


PyTorch implementation of various methods for continual learning (XdG, EWC, SI, LwF, FROMP, DGR, BI-R, ER, A-GEM, iCaRL, Generative Classifier) in three different scenarios.

Learning without Forgetting

Three scenarios for continual learning

Generative replay with feedback connections as a general strategy for continual learning.

Generalisation Guarantees for Continual Learning with Orthogonal
  Gradient Descent

Overcoming Catastrophic Forgetting by Generative Regularization

Continual Activity Recognition with Generative Adversarial Networks


Dataset accompanying the SPECTER model

SPECTER: Document-level Representation Learning using Citation-informed Transformers

Neighborhood Contrastive Learning for Scientific Document Representations with Citation Embeddings

Seed-Guided Topic Discovery with Out-of-Vocabulary Seeds

MedCPT: Contrastive Pre-trained Transformers with Large-scale PubMed
  Search Logs for Zero-shot Biomedical Information Retrieval


[unofficial] Pytorch implementation of WaDIQaM in TIP2018, Bosse S. et al. (Deep neural networks for no-reference and full-reference image quality assessment)

Deep Neural Networks for No-Reference and Full-Reference Image Quality Assessment

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

Active Fine-Tuning from gMAD Examples Improves Blind Image Quality Assessment

Evaluating Deep Neural Networks for Image Document Enhancement


[CVPR 2023] Label-Free Liver Tumor Segmentation

Label-Free Liver Tumor Segmentation

Early Detection and Localization of Pancreatic Cancer by Label-Free
  Tumor Synthesis

Synthetic Tumors Make AI Segment Tumors Better


Computer Vision:  Generate captions that describe the contents of images using PyTorch

Microsoft COCO: Common Objects in Context

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

Show and Tell: A Neural Image Caption Generator


Dataset Condensation (ICLR21 and ICML21)

Dataset Condensation with Gradient Matching

Dataset Condensation with Differentiable Siamese Augmentation

Dataset Condensation with Distribution Matching

Privacy for Free: How does Dataset Condensation Help Privacy?

Synthesizing Informative Training Samples with GAN

Learning to Generate Synthetic Training Data using Gradient Matching and
  Implicit Differentiation

A Comprehensive Study on Dataset Distillation: Performance, Privacy,
  Robustness and Fairness


A Toolkit for Video Action Recognition(Classification/Detection)

Non-local Neural Networks

SlowFast Networks for Video Recognition

Learning Implicit Temporal Alignment for Few-shot Video Classification


PyTorch implementation of the REMIND method from our ECCV-2020 paper "REMIND Your Neural Network to Prevent Catastrophic Forgetting"

Cold Start Streaming Learning for Deep Networks


source code for ICLR'22 paper "VOS: Learning What You Don’t Know by Virtual Outlier Synthesis"

VOS: Learning What You Don't Know by Virtual Outlier Synthesis

SAFE: Sensitivity-Aware Features for Out-of-Distribution Object Detection

Unknown Sniffer for Object Detection: Don't Turn a Blind Eye to Unknown Objects

Diffusion Denoised Smoothing for Certified and Adversarial Robust
  Out-Of-Distribution Detection


This repository contains the implementation of paper Online 3D Bin Packing with Constrained Deep Reinforcement Learning.

Learning practically feasible policies for online 3D bin packing


Early Release Science of the Exoplanet WASP-39b with JWST NIRSpec G395H

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

The ExoTETHyS Package: Tools for Exoplanetary Transits around Host Stars

ExoClock Project. II. A Large-scale Integrated Study with 180 Updated Exoplanet Ephemerides

The Astrophysical journal. Supplement series/Astrophysical journal. Supplement series

ExoClock project: an open platform for monitoring the ephemerides of Ariel targets with contributions from the public

TOI-674b: An oasis in the desert of exo-Neptunes transiting a nearby M dwarf

Phase-curve Pollution of Exoplanet Transmission Spectra

JexoSim: a time-domain simulator of exoplanet transit spectroscopy with JWST

The HD 260655 system: Two rocky worlds transiting a bright M dwarf at 10 pc

The homogeneous characterisation of Ariel host stars


Retrieve recipes from foodie pictures using Deep Learning and Pytorch

Deep Metric Learning via Lifted Structured Feature Embedding

VSE++: Improving Visual-Semantic Embeddings with Hard Negatives

Cross-Modal Retrieval in the Cooking Context: Learning Semantic Text-Image Embeddings

Cross-Modal Retrieval and Synthesis (X-MRS): Closing the Modality Gap in
  Shared Representation Learning

Images & Recipes: Retrieval in the cooking context

International Conference on Data Engineering


Download and pre-processing of ROAD dataset

ROAD: The Road Event Awareness Dataset for Autonomous Driving

ROAD-R: The Autonomous Driving Dataset with Logical Requirements

Machine Learning with Requirements: a Manifesto


Improving Neural Machine Translation Models with Monolingual Data

On The Power of Curriculum Learning in Training Deep Networks

Competence-based Curriculum Learning for Neural Machine Translation

Fine-Tuning by Curriculum Learning for Non-Autoregressive Neural Machine Translation


Original Caffe Version for LightCNN-9. Highly recommend to use PyTorch Version (https://github.com/AlfredXiangWu/LightCNN)

A Light CNN for Deep Face Representation with Noisy Labels

NormFace: L2 Hypersphere Embedding for Face Verification

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

Mitigating dataset harms requires stewardship: Lessons from 1000 papers

Learning Robust Deep Face Representation


STAG: Species Tree from All Genes

STAG: Species Tree Inference from All Genes

The Cycas genome and the early evolution of seed plants

Genome Insights of the Plant-Growth Promoting Bacterium Cronobacter muytjensii JZ38 With Volatile-Mediated Antagonistic Activity Against Phytophthora infestans

FastMulRFS: fast and accurate species tree estimation under generic gene duplication and loss models

Polynomial-Time Statistical Estimation of Species Trees Under Gene Duplication and Loss

In silico exploration of Red Sea Bacillus genomes for natural product biosynthetic gene clusters

Lineage-Specific Rewiring of Core Pathways Predating Innovation of Legume Nodules Shapes Symbiotic Efficiency

Metagenome sequencing and 768 microbial genomes from cold seep in South China Sea


COMBO is jointly trained tagger, lemmatizer and dependency parser.

Semi-Supervised Neural System for Tagging, Parsing and Lematization

Empirical Linguistic Study of Sentence Embeddings

Meeting of the Association for Computational Linguistics

Towards the Conversion of National Corpus of Polish to Universal Dependencies

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


SHAS: Approaching optimal Segmentation for End-to-End Speech Translation

Pretrained Speech Encoders and Efficient Fine-tuning Methods for Speech Translation: UPC at IWSLT 2022

Proceedings of the 19th International Conference on Spoken Language Translation (IWSLT 2022)

SegAugment: Maximizing the Utility of Speech Translation Data with Segmentation-based Augmentations


Instruments for CNN training, based on Qt, Opencv and tiny-dnn projects

Weakly Supervised Few-Shot Segmentation Via Meta-Learning

Truly Generalizable Radiograph Segmentation With Conditional Domain Adaptation

Learning to Segment Medical Images from Few-Shot Sparse Labels


A  dataset  of  222  digital  musical  scores aligned with 1068 performances (more than 92 hours) of Western  classical  piano  music.

A Comprehensive Survey on Deep Music Generation: Multi-level Representations, Algorithms, Evaluations, and Future Directions

MidiBERT-Piano: Large-scale Pre-training for Symbolic Music Understanding

Fine-Grained Position Helps Memorizing More, a Novel Music Compound Transformer Model with Feature Interaction Fusion

Proceedings of the AAAI Conference on Artificial Intelligence


Official code of [ICCV 2023] Binary Adapters, [AAAI 2023] FacT, [Tech report] Convpass

Convolutional Bypasses Are Better Vision Transformer Adapters

FacT: Factor-Tuning for Lightweight Adaptation on Vision Transformer

Revisiting the Parameter Efficiency of Adapters from the Perspective of Precision Redundancy


NEtwork MEssage Syntax analysYS (WOOT 2018) and NEtwork MEssage TYpe identification by aLignment (INFOCOM 2020)

Message Type Identification of Binary Network Protocols using Continuous Segment Similarity

Network Message Field Type Clustering for Reverse Engineering of Unknown Binary Protocols

Refining Network Message Segmentation with Principal Component Analysis


AI based fuzzer based on imitation learning

Smart Contract Vulnerability Detection Technique: A Survey

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


R tools for Agilent electrophoresis data

Manipulation of topoisomerase expression inhibits cell division but not growth and reveals a distinctive promoter structure in Synechocystis

DNA/RNA Preservation in Glacial Snow and Ice Samples

Plasmid supercoiling decreases during the dark phase in cyanobacteria: a clarification of the interpretation of chloroquine-agarose gels

Uncoupling of the Diurnal Growth Program by Artificial Genome Relaxation in Synechocystis sp. PCC 6803


Gradient-Based Neural DAG Learning

Ordering-Based Causal Discovery with Reinforcement Learning

DAGs with No Curl: An Efficient DAG Structure Learning Approach

Differentiable DAG Sampling

GFlowCausal: Generative Flow Networks for Causal Discovery

BayesDAG: Gradient-Based Posterior Inference for Causal Discovery

Reframed GES with a Neural Conditional Dependence Measure

On the Role of Entropy-based Loss for Learning Causal Structures with Continuous Optimization


:socks: Stochastic Optimal Control and Reachability Toolbox Written in Python

Data-Driven Chance Constrained Control using Kernel Distribution
  Embeddings

SOCKS: A Stochastic Optimal Control and Reachability Toolbox Using Kernel Methods

International Conference on Hybrid Systems: Computation and Control

Physics-Informed Kernel Embeddings: Integrating Prior System Knowledge
  with Data-Driven Control


BEETL

Large-scale compression of genomic sequence databases with the Burrows–Wheeler transform

External memory BWT and LCP computation for sequence collections with applications

Lightweight LCP construction for very large collections of strings

Lossy Compressor Preserving Variant Calling through Extended BWT

Proceedings of the 15th International Joint Conference on Biomedical Engineering Systems and Technologies

A New Class of String Transformations for Compressed Text Indexing

The colored longest common prefix array computed via sequential scans


A neural conversation model

Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling

Building End-To-End Dialogue Systems Using Generative Hierarchical Neural Network Models

Evaluating Prerequisite Qualities for Learning End-to-End Dialog Systems

LSTM based Conversation Models


Source code and Dataset creation for the paper "Neural Symbolic Regression That Scales"

Neural Symbolic Regression that Scales

SymFormer: End-to-end symbolic regression using transformer-based
  architecture


Codebase for Learning Invariances in Neural Networks

Learning Invariances in Neural Networks

Grounding inductive biases in natural images:invariance stems from variations in data

Rotating spiders and reflecting dogs: a class conditional approach to learning data augmentation distributions


Framework for the specification and analysis of models for human reasoning.

A Quantitative Symbolic Approach to Individual Human Reasoning

The Predictive Power of Spatial Relational Reasoning Models: A New Evaluation Approach


Multi-Scale Brain Parcellator, part of the Connectome Mapping Toolkit (CMTK), is a BIDS App that implements a full anatomical MRI processing pipeline, from raw T1w data to structural brain parcellation at five different scales.

Nipype: A Flexible, Lightweight and Extensible Neuroimaging Data Processing Framework in Python

Singularity: Scientific containers for mobility of compute

A computational atlas of the hippocampal formation using ex vivo, ultra-high resolution MRI: Application to adaptive segmentation of in vivo MRI

BIDS apps: Improving ease of use, accessibility, and reproducibility of neuroimaging data analysis methods

Descriptor : In-vivo probabilistic atlas of human thalamic nuclei based on diffusion-weighted magnetic resonance imaging


download climate data from DWD (German Weather Service)

Potsdam Şehri Hava Sıcaklığının Dalgacık Regresyon Analizi ile Tahmini

Süleyman Demirel Üniversitesi Fen Bilimleri Enstitüsü Dergisi


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

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

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

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

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


Bayesian or-of-and

Causal Rule Sets for Identifying Subgroups with Enhanced Treatment Effects

Hybrid Predictive Model: When an Interpretable Model Collaborates with a Black-box Model

Interpretable Patient Mortality Prediction with Multi-value Rule Sets


Input-aware Dynamic Backdoor Attack (NeurIPS 2020)

Input-Aware Dynamic Backdoor Attack

Adversarial Neuron Pruning Purifies Backdoored Deep Models

Adversarial Unlearning of Backdoors via Implicit Hypergradient

Few-Shot Backdoor Attacks on Visual Object Tracking

Reconstructive Neuron Pruning for Backdoor Defense


:speech_balloon: Sequential Latent Knowledge Selection for Knowledge-Grounded Dialogue. In ICLR, 2020 (spotlight)

A Survey of Knowledge-enhanced Text Generation

Zero-Resource Knowledge-Grounded Dialogue Generation

Knowledge-Grounded Dialogue Generation with Term-level De-noising


C-Mixup for NeurIPS 2022

Extending the WILDS Benchmark for Unsupervised Adaptation

C-Mixup: Improving Generalization in Regression

Out of the Ordinary: Spectrally Adapting Regression for Covariate Shift


Automatic Prompt Optimization with "Gradient Descent" and Beam Search

PromptBoosting: Black-Box Text Classification with Ten Forward Passes

PREFER: Prompt Ensemble Learning via Feedback-Reflect-Refine


Conversion of a BAM alignment to wiggle and bigwig coverage files, with flexible reporting options

Identification of functional enolase genes of the silkworm Bombyx mori from public databases with a combination of dry and wet bench processes

Acetyltransferase Enok regulates transposon silencing and piRNA cluster transcription.

LINC01133 Inhibits Invasion and Promotes Proliferation in an Endometriosis Epithelial Cell Line


Code for "Estimating and Evaluating Regression Predictive Uncertainty in Deep Object Detectors." (ICLR 2021)

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

What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?

Predictive Uncertainty Estimation via Prior Networks

BayesOD: A Bayesian Approach for Uncertainty Estimation in Deep Object Detectors

Object Detection as Probabilistic Set Prediction


A new test set for ImageNet

Very Deep Convolutional Networks for Large-Scale Image Recognition

Do ImageNet Classifiers Generalize to ImageNet?

From ImageNet to Image Classification: Contextualizing Progress on Benchmarks

Identifying Statistical Bias in Dataset Replication

Model Similarity Mitigates Test Set Overuse

On the Strong Correlation Between Model Invariance and Generalization

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

Sequential Normalization: Embracing Smaller Sample Sizes for Normalization

Vision Transformers: From Semantic Segmentation to Dense Prediction

Adaptive Calibrator Ensemble for Model Calibration under Distribution
  Shift


GPT-3: Language Models are Few-Shot Learners

Extracting Training Data from Large Language Models

Is ChatGPT A Good Translator? Yes With GPT-4 As The Engine

Few-shot Learning with Multilingual Language Models

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

How Good Are GPT Models at Machine Translation? A Comprehensive
  Evaluation

Automatic Detection of Machine Generated Text: A Critical Survey

What Changes Can Large-scale Language Models Bring? Intensive Study on HyperCLOVA: Billions-scale Korean Generative Pretrained Transformers

MEGA: Multilingual Evaluation of Generative AI

DeepMAge: A Methylation Aging Clock Developed with Deep Learning

Machine-Generated Text: A Comprehensive Survey of Threat Models and Detection Methods


Code for NAUM project paper

Distributed Representations of Sentences and Documents

Skip-Thought Vectors

Deep learning for language understanding of mental health concepts derived from Cognitive Behavioural Therapy


Heterogeneous Network Embedding: Survey, Benchmark, Evaluation, and Beyond

Heterogeneous Network Representation Learning: A Unified Framework with Survey and Benchmark

MotifClass: Weakly Supervised Text Classification with Higher-order Metadata Information

CoarSAS2hvec: Heterogeneous Information Network Embedding with Balanced Network Sampling

DeHIN: A Decentralized Framework for Embedding Large-Scale Heterogeneous Information Networks


Human Intracranial High Frequency Oscillations (HFOs) Detected by Automatic Time-Frequency Analysis

Resection of high frequency oscillations predicts seizure outcome in the individual patient

Voluntary Suppression of Memory for Semantic Information is not reflected in P300

International journal of psychophysiology

The morphology of high frequency oscillations (HFO) does not improve delineating the epileptogenic zone

Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology

High-frequency oscillations in scalp EEG mirror seizure frequency in pediatric focal epilepsy

Prediction of seizure outcome improved by fast ripples detected in low-noise intraoperative corticogram

High-density ECoG improves the detection of high frequency oscillations that predict seizure outcome

High frequency oscillations as markers of epileptogenic tissue – End of the party?

Blinded study: prospectively defined high-frequency oscillations predict seizure outcome in individual patients

Epileptic High-Frequency Oscillations in Intracranial EEG Are Not Confounded by Cognitive Tasks


Sequencing of 53,831 diverse genomes from the NHLBI TOPMed Program

Functional equivalence of genome sequencing analysis pipelines enables harmonized variant calling across human genetics projects

Asthma and its relationship to mitochondrial copy number: Results from the Asthma Translational Genomics Collaborative (ATGC) of the Trans-Omics for Precision Medicine (TOPMed) program

Contribution of CACNA1H Variants in Autism Spectrum Disorder Susceptibility

Dissecting the multifaceted contribution of the mitochondrial genome to autism spectrum disorder


Neural Architecture Search without Training

Neural Architecture Search on ImageNet in Four GPU Hours: A Theoretically Inspired Perspective

Zero-Cost Proxies for Lightweight NAS

Zen-NAS: A Zero-Shot NAS for High-Performance Deep Image Recognition


Compute graph embeddings via Anonymous Walk Embeddings

Anonymous Walk Embeddings

State of the Art and Potentialities of Graph-level Learning

Learning distributed representations of graphs with Geo2DR


Combining smooth constraint for building DAG with normalizing flow in order to replace autoregressive transformations while keeping tractable Jacobian.

Graphical Normalizing Flows

Differentiable DAG Sampling

Personalized Public Policy Analysis in Social Sciences using
  Causal-Graphical Normalizing Flows

ρ-GNF : A Novel Sensitivity Analysis Approach Under Unobserved
  Confounders


Predicting tandem mass spectra from molecules

MassFormer: Tandem Mass Spectrum Prediction for Small Molecules using
  Graph Transformers

Efficiently predicting high resolution mass spectra with graph neural
  networks

Prefix-Tree Decoding for Predicting Mass Spectra from Molecules

Generating Molecular Fragmentation Graphs with Autoregressive Neural Networks


This repository contains data used in the NAACL 2015 paper "Personalized Page Rank for Named Entity Disambiguation" by Maria Pershina, Yifan He, Ralph Grishman.

North American Chapter of the Association for Computational Linguistics

ELDEN: Improved Entity Linking Using Densified Knowledge Graphs

Alleviating Poor Context with Background Knowledge for Named Entity Disambiguation

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

Entity Linking with a Paraphrase Flavor

SpEL: Structured Prediction for Entity Linking


[ICLR24] Official PyTorch Implementation of Magic123: One Image to High-Quality 3D Object Generation Using Both 2D and 3D Diffusion Priors

RealFusion 360° Reconstruction of Any Object from a Single Image

Make-It-3D: High-Fidelity 3D Creation from A Single Image with Diffusion Prior


Repo for our CVIU work on the Benefit of Adversarial Training on Monocular Depth Estimation

Unsupervised Monocular Depth Estimation with Left-Right Consistency

Unsupervised Adversarial Depth Estimation using Cycled Generative Networks

On the Benefit of Adversarial Training for Monocular Depth Estimation


Code to reproduce results from the paper: "Compressed Sensing using Generative Models".

Sample Complexity Bounds for 1-bit Compressive Sensing and Binary Stable Embeddings with Generative Priors

Fully Learnable Model for Task-Driven Image Compressed Sensing


Code implementation of the paper "Neural Cleanse: Identifying and Mitigating Backdoor Attacks in Neural Networks", at IEEE Security and Privacy 2019.

Backdoor Attacks and Countermeasures on Deep Learning: A Comprehensive Review.

Rethinking the Trigger of Backdoor Attack

Backdoor Defense via Decoupling the Training Process

Black-box Detection of Backdoor Attacks with Limited Information and Data

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

Detection of Backdoors in Trained Classifiers Without Access to the Training Set

Neural Network Laundering: Removing Black-Box Backdoor Watermarks from Deep Neural Networks

Design and Evaluation of a Multi-Domain Trojan Detection Method on Deep Neural Networks

Untargeted Backdoor Watermark: Towards Harmless and Stealthy Dataset
  Copyright Protection

ConFoc: Content-Focus Protection Against Trojan Attacks on Neural Networks.


Repository for performing Blocking using Deep Learning based on the paper "Deep Learning for Blocking in Entity Matching: A Design Space Exploration"

Deep learning for blocking in entity matching: a design space exploration

Benchmarking Filtering Techniques for Entity Resolution


Official implementation for the paper "DoLa: Decoding by Contrasting Layers Improves Factuality in Large Language Models"

Generating Benchmarks for Factuality Evaluation of Language Models

Deficiency of Large Language Models in Finance: An Empirical Examination
  of Hallucination


Text Recognition in the Wild: A Survey

Scene Text Image Super-Resolution in the Wild

TextSR: Content-Aware Text Super-Resolution Guided by Recognition


Power Market Tool for the comprehensive analyses of modern electricity markets (Python+Julia)

Fast Security-Constrained Optimal Power Flow Through Low-Impact and Redundancy Screening

Power Market Tool (POMATO) for the Analysis of Zonal Electricity Markets

Evaluating Policy Implications on the Restrictiveness of Flow-based
  Market Coupling with High Shares of Intermittent Generation: A Case Study for
  Central Western Europe


RAD: Reinforcement Learning with Augmented Data

SUNRISE: A Simple Unified Framework for Ensemble Learning in Deep Reinforcement Learning

State Entropy Maximization with Random Encoders for Efficient Exploration

An Empirical Investigation of Representation Learning for Imitation

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

Learning Domain Invariant Representations in Goal-conditioned Block MDPs


Universal Representation Learning from Multiple Domains for Few-shot Classification - ICCV 2021, Cross-domain Few-shot Learning with Task-specific Adapters - CVPR 2022

Universal Representations: A Unified Look at Multiple Task and Domain Learning

DAC-MR: Data Augmentation Consistency Based Meta-Regularization for
  Meta-Learning

Schedule-Robust Online Continual Learning


Implementation of multi-level Contrastive Predictive Coding (CPC) methods

Representation Learning with Contrastive Predictive Coding

Unsupervised pretraining transfers well across languages

Self-Supervised Contrastive Learning for Unsupervised Phoneme Segmentation

Variable-rate hierarchical CPC leads to acoustic unit discovery in
  speech


WSDM'2021, PROP and SIGIR'2021,B-PROP

PROP: Pre-training with Representative Words Prediction for Ad-hoc Retrieval

B-PROP: Bootstrapped Pre-training with Representative Words Prediction for Ad-hoc Retrieval

Hard Negatives or False Negatives: Correcting Pooling Bias in Training Neural Ranking Models


This repository contains the codebase and all the relevant information for our IJCV paper on VPR-Bench: An open-source Visual Place Recognition Evaluation Framework

NetVLAD: CNN architecture for weakly supervised place recognition

Vision-based place recognition: how low can you go?

The international journal of robotics research

VPR-Bench: An Open-Source Visual Place Recognition Evaluation Framework with Quantifiable Viewpoint and Appearance Change

Binary Neural Networks for Memory-Efficient and Effective Visual Place Recognition in Changing Environments

Day and Night, Left and Right

Zenodo (CERN European Organization for Nuclear Research)


Tensorflow toolbox implementing several learnable pooling architecture

Learnable pooling with Context Gating for video classification

Relaxed Spatio-Temporal Deep Feature Aggregation for Real-Fake Expression Prediction


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

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

Variation among 532 genomes unveils the origin and evolutionary history of a global insect herbivore

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

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

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

Structural variations in papaya genomes

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

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

Remarkable Divergence of the Sex-Linked Region between Two Wild Spinach Progenitors, Spinacia turkestanica and Spinacia tetrandra

Whole-genome resequencing reveals genetic characteristics of different duck breeds from the Guangxi region in China


LOD3 road space models in CityGML+SketchUp of the research project SAVe and SAVeNoW

INTEGRATION OF 3D POINT CLOUDS WITH SEMANTIC 3D CITY MODELS – PROVIDING SEMANTIC INFORMATION BEYOND CLASSIFICATION

ISPRS annals of the photogrammetry, remote sensing and spatial information sciences

COMBINING VISIBILITY ANALYSIS AND DEEP LEARNING FOR REFINEMENT OF SEMANTIC 3D BUILDING MODELS BY CONFLICT CLASSIFICATION

TUM-FAÇADE: REVIEWING AND ENRICHING POINT CLOUD BENCHMARKS FOR FAÇADE SEGMENTATION

The international archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences

PLASTIC SURGERY FOR 3D CITY MODELS: A PIPELINE FOR AUTOMATIC GEOMETRY REFINEMENT AND SEMANTIC ENRICHMENT


PyTorch Implementation of 2D and 3D 'squeeze and excitation' blocks for Fully Convolutional Neural Networks

Squeeze-and-Excitation Networks

Concurrent Spatial and Channel Squeeze & Excitation in Fully Convolutional Networks

Parameter Prediction for Unseen Deep Architectures

`Project & Excite' Modules for Segmentation of Volumetric Medical Scans

Recalibrating 3D ConvNets with Project & Excite

Recalibrating Fully Convolutional Networks with Spatial and Channel
  'Squeeze & Excitation' Blocks


This repository contains code to replicate results from the ICASSP 2020 paper "StarGAN for Emotional Speech Conversion: Validated by Data Augmentation of End-to-End Emotion Recognition".

EmoCat: Language-agnostic Emotional Voice Conversion

EmoFake: An Initial Dataset for Emotion Fake Audio Detection


Combining "segment-anything" with MOT,  it create the era of "MOTS"

MOTRv2: Bootstrapping End-to-End Multi-Object Tracking by Pretrained Object Detectors

Bridging the Gap Between End-to-end and Non-End-to-end Multi-Object
  Tracking


Source codes for "Improved Few-Shot Visual Classification" (CVPR 2020), "Enhancing Few-Shot Image Classification with Unlabelled Examples" (WACV 2022), and "Beyond Simple Meta-Learning: Multi-Purpose Models for Multi-Domain, Active and Continual Few-Shot Learning" (Neural Networks 2022 - in submission)

Meta-Dataset: A Dataset of Datasets for Learning to Learn from Few Examples

Improved Few-Shot Visual Classification

On the Importance of Distractors for Few-Shot Classification

Learning Instance and Task-Aware Dynamic Kernels for Few Shot Learning

Improving Few-Shot Visual Classification with Unlabelled Examples

On Label-Eﬀicient Computer Vision: Building Fast and Effective Few-Shot Image Classifiers


Code of ICLR2023 paper "TaskPrompter: Spatial-Channel Multi-Task Prompting for Dense Scene Understanding" and ECCV2022 paper "Inverted Pyramid Multi-task Transformer for Dense Scene Understanding"

InvPT: Inverted Pyramid Multi-task Transformer for Dense Scene
  Understanding

TaskExpert: Dynamically Assembling Multi-Task Representations with Memorial Mixture-of-Experts

InvPT++: Inverted Pyramid Multi-Task Transformer for Visual Scene
  Understanding


PrIM (Processing-In-Memory benchmarks) is the first benchmark suite for a real-world processing-in-memory (PIM) architecture. PrIM is developed to evaluate, analyze, and characterize the first publicly-available real-world PIM architecture, the UPMEM PIM architecture. Described by Gómez-Luna et al. (https://arxiv.org/abs/2105.03814).

A Modern Primer on Processing in Memory

Benchmarking Memory-Centric Computing Systems: Analysis of Real Processing-In-Memory Hardware

DAMOV: A New Methodology and Benchmark Suite for Evaluating Data Movement Bottlenecks

Benchmarking a New Paradigm: Experimental Analysis and Characterization of a Real Processing-in-Memory System

Casper: Accelerating Stencil Computations Using Near-Cache Processing

EcoFlow: Efficient Convolutional Dataflows for Low-Power Neural Network
  Accelerators

Methodologies, Workloads, and Tools for Processing-in-Memory: Enabling the Adoption of Data-Centric Architectures

DaPPA: A Data-Parallel Framework for Processing-in-Memory Architectures


An Interactive Tool for Scalable and Reproducible Error Analysis.

TACRED Revisited: A Thorough Evaluation of the TACRED Relation Extraction Task

Errudite: Scalable, Reproducible, and Testable Error Analysis

ClusterDataSplit: Exploring Challenging Clustering-Based Data Splits for Model Performance Evaluation

Proceedings of the First Workshop on Evaluation and Comparison of NLP Systems


How Grammatical is Character-level Neural Machine Translation? Assessing MT Quality with Contrastive Translation Pairs

Normalizing Medieval German Texts: from rules to deep learning

A Neural Approach to Language Variety Translation

Character-level Chinese-English Translation through ASCII Encoding

Neural machine translation of Basque

European Association for Machine Translation Conferences/Workshops

Character-level Transformer-based Neural Machine Translation

Improved English to Russian Translation by Neural Suffix Prediction

Noisy UGC Translation at the Character Level: Revisiting Open-Vocabulary Capabilities and Robustness of Char-Based Models

Understanding the Impact of UGC Specificities on Translation Quality

SubCharacter Chinese-English Neural Machine Translation with Wubi encoding


TLA+ specification for the Raft consensus algorithm

eXtreme Modelling in Practice

Modeling the Raft Distributed Consensus Protocol in LNT

Compositional Model Checking of Consensus Protocols via Interaction-Preserving Abstraction

MET: Model Checking-Driven Explorative Testing of CRDT Designs and
  Implementations


Deep Learning for Source Code Modeling and Generation

Compressing Pre-trained Models of Code into 3 MB

Natural Language Generation and Understanding of Big Code for AI-Assisted Programming: A Review

A systematic literature review on source code similarity measurement and
  clone detection: techniques, applications, and challenges

Towards Understanding the Capability of Large Language Models on Code
  Clone Detection: A Survey

Generalizability of Code Clone Detection on CodeBERT


[ICLR-2020] Mutual Mean-Teaching: Pseudo Label Refinery for Unsupervised Domain Adaptation on Person Re-identification.

Deep Residual Learning for Image Recognition

Performance Measures and a Data Set for Multi-target, Multi-camera Tracking

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

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

Part-based Pseudo Label Refinement for Unsupervised Person Re-identification

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


My implementation of the transformer architecture from the Attention is All you need paper applied to time series.

Attention Is All You Need

Deep Transformer Models for Time Series Forecasting: The Influenza Prevalence Case

Large Scale Legal Text Classification Using Transformer Models

Sequence Length is a Domain: Length-based Overfitting in Transformer Models

Team Alex at CLEF CheckThat! 2020: Identifying Check-Worthy Tweets With Transformer Models

Something Old, Something New: Grammar-based CCG Parsing with Transformer Models.

Transformer Models for Text Coherence Assessment

Context-based Transformer Models for Answer Sentence Selection

IrEne-viz: Visualizing Energy Consumption of Transformer Models

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


Code for  ICLR 2015 deeplab-v1 paper "Semantic Image Segmentation with Deep Convolutional Nets and Fully Connected CRFs"

DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs

Discriminative Region Suppression for Weakly-Supervised Semantic Segmentation


PyTorch code for "Learning Temporal Attention in Dynamic Graphs with Bilinear Interactions"

Language Models Can Improve Event Prediction by Few-Shot Abductive
  Reasoning

Distill2Vec: Dynamic Graph Representation Learning with Knowledge Distillation

On the Predictive Accuracy of Neural Temporal Point Process Models for
  Continuous-time Event Data

Learning Representation over Dynamic Graph using Aggregation-Diffusion Mechanism


A python package to model Circular Economy policy and technological interventions in Environmentally Extended Input-Output Analysis starting from mrSUTs (EXIOBASE V3.3)


Measuring radio flux density with ds9

Investigating the spectra and physical nature of galaxy scale jets

MeerKAT discovery of radio emission from the Vela X-1 bow shock

MeerKAT's View of the Bullet Cluster 1E 0657-55.8

Radio Sources Segmentation and Classification with Deep Learning


Knowledge Embedding Framework Powered by XiaoHan.

Knowledge Graph Embedding with Hierarchical Relation Structure

Empirical Methods in Natural Language Processing

The KEEN Universe: An Ecosystem for Knowledge Graph Embeddings with a Focus on Reproducibility and Transferability

KSR: A Semantic Representation of Knowledge Graph within a Novel Unsupervised Paradigm


Code for SuDoRm-Rf networks for efficient audio source separation. SuDoRm-Rf stands for SUccessive DOwnsampling and Resampling of Multi-Resolution Features which enables a more efficient way of separating sources from mixtures.

Sudo rm -rf: Efficient Networks for Universal Audio Source Separation

PROCEEDINGS OF THE 2020 IEEE 30TH INTERNATIONAL WORKSHOP ON MACHINE LEARNING FOR SIGNAL PROCESSING (MLSP)

Compute and Memory Efficient Universal Sound Source Separation

Speech Separation Using an Asynchronous Fully Recurrent Convolutional Neural Network

An efficient encoder-decoder architecture with top-down attention for
  speech separation


Scripts required to calculate tetramer frequencies and create input files for ESOM. See: Dick, G.J., A. Andersson, B.J. Baker, S.S. Simmons, B.C. Thomas, A.P. Yelton, and J.F. Banfield (2009).  Community-wide analysis of microbial genome sequence signatures. Genome Biology, 10: R85

Bioinformatics strategies for taxonomy independent binning and visualization of sequences in shotgun metagenomics

Computational and structural biotechnology journal

The genome of an intranuclear parasite, Paramicrosporidium saccamoebae, reveals alternative adaptations to obligate intracellular parasitism

Metagenomic evidence for metabolism of trace atmospheric gases by high-elevation desert Actinobacteria

Inference and reconstruction of the heimdallarchaeial ancestry of eukaryotes

Complex subsurface hydrothermal fluid mixing at a submarine arc volcano supports distinct and highly diverse microbial communities

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


Python implementation of the Mixed-Scale Dense Convolutional Neural Network

Cryo-electron tomography with mixed-scale dense neural networks reveals key steps in deployment of Toxoplasma invasion machinery

Task-Driven Learned Hyperspectral Data Reduction Using End-to-End Supervised Deep Learning

Cycloidal CT with CNN-based sinogram completion and in-scan generation of training data

A tomographic workflow to enable deep learning for X-ray based foreign object detection


An other implementation of GRU4REC using PyTorch

Session-based Recommendations with Recurrent Neural Networks

Recurrent Neural Networks with Top-k Gains for Session-based Recommendations

International Conference on Information and Knowledge Management

Learning Post-Hoc Causal Explanations for Recommendation

The Effect of Third Party Implementations on Reproducibility

Proceedings of the 17th ACM Conference on Recommender Systems

Rethinking Cross-Domain Sequential Recommendation under Open-World
  Assumptions

Towards Open-world Cross-Domain Sequential Recommendation: A
  Model-Agnostic Contrastive Denoising Approach


Previously Open Dataset of Electric Vehicle specs. Now part of the Chargeprice API!

The electric vehicle shortest path problem with time windows and prize collection

PROCEEDINGS OF THE 2022 17TH CONFERENCE ON COMPUTER SCIENCE AND INTELLIGENCE SYSTEMS (FEDCSIS)

Dynamic routing for the Electric Vehicle Shortest Path Problem with charging station occupancy information


repository for Publicly Available Clinical BERT Embeddings

BioBERT: a pre-trained biomedical language representation model for biomedical text mining

Increase of stillbirth and decrease of late preterm infants during the COVID-19 pandemic lockdown

Archives of disease in childhood. Fetal and neonatal edition

A Span-Based Model for Joint Overlapped and Discontinuous Named Entity Recognition

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

Clinical Reading Comprehension: A Thorough Analysis of the emrQA Dataset

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

Recognizing UMLS Semantic Types with Deep Learning

Representation Learning for Electronic Health Records

Automated Coding of Under-Studied Medical Concept Domains: Linking Physical Activity Reports to the International Classification of Functioning, Disability, and Health


Official implementation of "DiffuseVAE: Efficient, Controllable and High-Fidelity Generation from Low-Dimensional Latents"

Auto-Encoding Variational Bayes

Denoising Diffusion Probabilistic Models

Deep Unsupervised Learning using Nonequilibrium Thermodynamics

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

An HCI-Centric Survey and Taxonomy of Human-Generative-AI Interactions


Circular bacterial genome plots based on BLAST or NUCMER/PROMER alignments

Inclusion of Oxford Nanopore long reads improves all microbial and phage metagenome-assembled genomes from a complex aquifer system

Characterization of an archaeal virus-host system reveals massive genomic rearrangements in a laboratory strain

Phenotypic and genomic assessment of the potential threat of human spaceflight-relevant Staphylococcus capitis isolates under stress conditions


Goodness-of-fit functions for comparison of simulated and observed hydrological time series

Modeling and interpreting hydrological responses of sustainable urban drainage systems with explainable machine learning methods

On the selection of precipitation products for the regionalisation of hydrological model parameters

Technical note: Hydrology modelling R packages – a unified analysis of models and practicalities from a user perspective

Evaluating five forest models using multi-decadal inventory data from mountain forests

Adjusting for Conditional Bias in Process Model Simulations of Hydrological Extremes: An Experiment Using the North Wyke Farm Platform

Missing data in bioarchaeology II: A test of ordinal and continuous data imputation

American journal of physical anthropology

Reconstructing missing data by comparing interpolation techniques: Applications for long‐term water quality data

The Applicability of Time-Integrated Unit Stream Power for Estimating Bridge Pier Scour Using Noncontact Methods in a Gravel-Bed River


A line-by-line longwave radiation code for planetary atmospheres.

Earth’s outgoing longwave radiation linear due to H2O greenhouse effect

A Scaling for Atmospheric Heat Redistribution on Tidally Locked Rocky Planets

State-dependence of CO2 Forcing and its Implications for Climate
  Sensitivity


Solar Radiation and Photovoltaic Systems with R

Future evolution of surface solar radiation and photovoltaic potential in Europe: investigating the role of aerosols


A Java implementation of Shamir's Secret Sharing algorithm over GF(256).

Privacy-preserving Identity Broadcast for Contact Tracing Applications

Shared-Dining: Broadcasting Secret Shares using Dining-Cryptographers Groups


[ICCV 2019] "Delving into Robust Object Detection from Unmanned Aerial Vehicles: A Deep Nuisance Disentanglement Approach"

Deep Learning for UAV-based Object Detection and Tracking: A Survey

IEEE geoscience and remote sensing magazine

Training Domain-invariant Object Detector Faster with Feature Replay and Slow Learner