Implementation of some deep learning algorithms.

Deep learning for neuroimaging: a validation study

A deep learning framework for modeling structural features of RNA-binding protein targets

CCL: Cross-modal Correlation Learning With Multigrained Fusion by Hierarchical Network

A General Framework for Constrained Bayesian Optimization using Information-based Search

Predictive Entropy Search for Bayesian Optimization with Unknown Constraints

Input Warping for Bayesian Optimization of Non-stationary Functions

Raiders of the Lost Architecture: Kernels for Bayesian Optimization in Conditional Parameter Spaces

Sharing privacy-sensitive access to neuroimaging and genetics data: a review and preliminary validation

Hierarchical Spatio-Temporal Modeling of Naturalistic Functional Magnetic Resonance Imaging Signals via Two-Stage Deep Belief Network With Neural Architecture Search


Your image is almost there!

LLM-grounded Diffusion: Enhancing Prompt Understanding of Text-to-Image Diffusion Models with Large Language Models

Self-correcting LLM-controlled Diffusion Models

Ranni: Taming Text-to-Image Diffusion for Accurate Instruction Following


How Powerful are Graph Neural Networks?

A Comprehensive Survey on Graph Neural Networks

IEEE transactions on neural networks and learning systems

How Powerful are Graph Neural Networks?

Deep Learning on Graphs: A Survey

GCC: Graph Contrastive Coding for Graph Neural Network Pre-Training

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

Distance Encoding: Design Provably More Powerful Neural Networks for Graph Representation Learning

Random Features Strengthen Graph Neural Networks

Distance Encoding -- Design Provably More Powerful GNNs for Structural Representation Learning

K-Core Based Temporal Graph Convolutional Network for Dynamic Graphs

IEEE Transactions on Knowledge and Data Engineering

Hierarchical message-passing graph neural networks


Statistical Workload Injector for MapReduce - Project at UC Berkeley AMP Lab

Interactive Analytical Processing in Big Data Systems: A Cross-Industry Study of MapReduce Workloads

Deep Reinforcement Learning for Resource Management on Network Slicing: A Survey

A Self-Adaptive Approach for Managing Applications and Harnessing Renewable Energy for Sustainable Cloud Computing

IEEE Transactions on Sustainable Computing

Revisiting Size-Based Scheduling with Estimated Job Sizes

PSBS: Practical Size-Based Scheduling

Near Optimal Coflow Scheduling in Networks

SPAA'19: PROCEEDINGS OF THE 31ST ACM SYMPOSIUM ON PARALLELISM IN ALGORITHMS AND ARCHITECTURESS, 2019

Automating Distributed Tiered Storage Management in Cluster Computing

PRIMEBALL: A Parallel Processing Framework Benchmark for Big Data Applications in the Cloud

A Survey of Big Data Machine Learning Applications Optimization in Cloud Data Centers and Networks

Practical Size-based Scheduling for MapReduce Workloads


Tools for state of the art Knowledge Base Completion.

Representation Learning for Dynamic Graphs: A Survey

Knowledge Graph Embedding for Link Prediction: A Comparative Analysis

Canonical Tensor Decomposition for Knowledge Base Completion

LibKGE - A knowledge graph embedding library for reproducible research

PROCEEDINGS OF THE 2020 CONFERENCE ON EMPIRICAL METHODS IN NATURAL LANGUAGE PROCESSING: SYSTEM DEMONSTRATIONS

Relation Prediction as an Auxiliary Training Objective for Improving Multi-Relational Graph Representations

On the Ambiguity of Rank-Based Evaluation of Entity Alignment or Link Prediction Methods

Link Prediction Using Multi Part Embeddings


Metrica Sports sample tracking and event data

Expected passes

Time-series Imputation of Temporally-occluded Multiagent Trajectories

Ball Trajectory Inference from Multi-Agent Sports Contexts Using Set Transformer and Hierarchical Bi-LSTM

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

Complexity emerges in measures of the marking dynamics in football games


Driver loader for bypassing Windows x64 Driver Signature Enforcement

Acceleration of Statistical Detection of Zero-day Malware in the Memory Dump Using CUDA-enabled GPU Hardware

Microsoft Defender Will Be Defended: MemoryRanger Prevents Blinding Windows AV


Execution‐Cache‐Memory modeling and performance tuning of sparse matrix‐vector multiplication and Lattice quantum chromodynamics on A64FX

Performance Modeling of Streaming Kernels and Sparse Matrix-Vector Multiplication on A64FX

PROCEEDINGS OF 2020 IEEE/ACM PERFORMANCE MODELING, BENCHMARKING AND SIMULATION OF HIGH PERFORMANCE COMPUTER SYSTEMS (PMBS 2020)

102 PFLOPS Lattice QCD quark solver on Fugaku

Grid on QPACE 4

Comparing OpenMP Implementations With Applications Across A64FX Platforms

Multigrid Solver on Fugaku

CloverLeaf on Intel Multi-Core CPUs: A Case Study in Write-Allocate Evasion

Bridge++ 2.0: Benchmark results on supercomputer Fugaku

Proceedings of The 39th International Symposium on Lattice Field Theory — PoS(LATTICE2022)

Wilson matrix kernel for lattice QCD on A64FX architecture

Proceedings of the HPC Asia 2023 Workshops

Explainable Port Mapping Inference with Sparse Performance Counters for
  AMD's Zen Architectures


Automatically exported from code.google.com/p/word2vec

Pre-trained models for natural language processing: A survey

Advances in Pre-Training Distributed Word Representations

Underspecification Presents Challenges for Credibility in Modern Machine Learning

A Multi-lingual Multi-task Architecture for Low-resource Sequence Labeling

PROCEEDINGS OF THE 56TH ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS (ACL), VOL 1

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

TaxoExpan: Self-supervised Taxonomy Expansion with Position-Enhanced Graph Neural Network

WEB CONFERENCE 2020: PROCEEDINGS OF THE WORLD WIDE WEB CONFERENCE (WWW 2020)

When Does Unsupervised Machine Translation Work?

Unsupervised Neural Machine Translation with SMT as Posterior Regularization

What's in a Note? Unpacking Predictive Value in Clinical Note Representations.

Modeling Personalization in Continuous Space for Response Generation via Augmented Wasserstein Autoencoders

Empirical Methods in Natural Language Processing


Yet another static code analyzer for malicious Android applications

An Analysis of Pre-installed Android Software

Are free Android app security analysis tools effective in detecting known vulnerabilities?

Metamorphic Detection of Repackaged Malware

Analysis and Evaluation of SafeDroid v2.0, a Framework for Detecting Malicious Android Applications


This is the open source implementation of the ICLR2022 paper "StyleNeRF: A Style-based 3D-Aware Generator for High-resolution Image Synthesis"

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

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

WildFusion: Learning 3D-Aware Latent Diffusion Models in View Space

Benchmarking and Analyzing 3D-aware Image Synthesis with a Modularized Codebase


Collection of android malware samples

Android Malware Detection Using Autoencoder

Using Deep Neural Network for Android Malware Detection

Malware Detection and Classification Using Latent Semantic Indexing

Journal of Advanced College of Engineering and Management


Advanced implementation of LOAM

Loam_livox: A fast, robust, high-precision LiDAR odometry and mapping package for LiDARs of small FoV

Towards High-Performance Solid-State-LiDAR-Inertial Odometry and Mapping

International Conference on Robotics and Automation

MULLS: Versatile LiDAR SLAM via Multi-metric Linear Least Square

LOCUS: A Multi-Sensor Lidar-Centric Solution for High-Precision Odometry and 3D Mapping in Real-Time

Robust Odometry and Mapping for Multi-LiDAR Systems with Online Extrinsic Calibration

VIRAL-Fusion: A Visual-Inertial-Ranging-Lidar Sensor Fusion Approach

StickyPillars: Robust and Efficient Feature Matching on Point Clouds using Graph Neural Networks

ViViD++ : Vision for Visibility Dataset

Present and Future of SLAM in Extreme Underground Environments

DV-LOAM: Direct Visual LiDAR Odometry and Mapping


Real-World Masked Face Dataset，口罩人脸数据集

Masked Face Recognition Dataset and Application

MaskedFace-Net – A dataset of correctly/incorrectly masked face images in the context of COVID-19

COVID-19 Control by Computer Vision Approaches: A Survey

IEEE access : practical innovations, open solutions

Computer Vision For COVID-19 Control: A Survey

Landmark Guidance Independent Spatio-channel Attention and Complementary Context Information based Facial Expression Recognition

Transfer learning for mobile real-time face mask detection and localization

Journal of the American Medical Informatics Association : JAMIA

Masked Face Recognition Datasets and Validation

International Conference on Computer Vision

Facial Recognition Technology in 2021: Masks, Bias, and the Future of Healthcare

A Deep Learning-based Approach for Real-time Facemask Detection

Unconstrained face mask and face-hand interaction datasets: building a computer vision system to help prevent the transmission of COVID-19


Release for Improved Denoising Diffusion Probabilistic Models

Denoising Diffusion Implicit Models

Elucidating the Design Space of Diffusion-Based Generative Models

Extracting Training Data from Diffusion Models

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

Analytic-DPM: an Analytic Estimate of the Optimal Reverse Variance in Diffusion Probabilistic Models

Flexible Diffusion Modeling of Long Videos

(Certified!!) Adversarial Robustness for Free!

Diffusion Models for Video Prediction and Infilling

Robust Learning Meets Generative Models: Can Proxy Distributions Improve Adversarial Robustness?


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

SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB model size

Learning both Weights and Connections for Efficient Neural Networks

EIE: Efficient Inference Engine on Compressed Deep Neural Network


LaTeX files for the Deep Learning book notation

About latent roles in forecasting players in team sports


A project to enable optimization of molecules by transforming them to and from a continuous representation.

Automatic Chemical Design Using a Data-Driven Continuous Representation of Molecules

Re-balancing Variational Autoencoder Loss for Molecule Sequence Generation

AI-Aided Search for New HIV-1 Protease Ligands


Simple rANS encoder/decoder (arithmetic coding-ish entropy coder).

Interleaved entropy coders

A Review of the Asymmetric Numeral System and Its Applications to Digital Images

MALICE: Manipulation Attacks on Learned Image ComprEssion


Using modified BiSeNet for face parsing in PyTorch

What makes fake images detectable? Understanding properties that generalize

M2TR: Multi-modal Multi-scale Transformers for Deepfake Detection

Gaussian Head Avatar: Ultra High-fidelity Head Avatar via Dynamic Gaussians

Content-Aware GAN Compression

Learning to Relight Portrait Images via a Virtual Light Stage and Synthetic-to-Real Adaptation

Gender Slopes: Counterfactual Fairness for Computer Vision Models by Attribute Manipulation

Gendered Differences in Face Recognition Accuracy Explained by Hairstyles, Makeup, and Facial Morphology

IEEE Transactions on Information Forensics and Security

Is Face Recognition Sexist? No, Gendered Hairstyles and Biology Are

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

FFHQ-UV: Normalized Facial UV-Texture Dataset for 3D Face Reconstruction


Repository for the paper "Very Deep VAEs Generalize Autoregressive Models and Can Outperform Them on Images"

Label-Efficient Semantic Segmentation with Diffusion Models

RRL: Resnet as representation for Reinforcement Learning

The Vendi Score: A Diversity Evaluation Metric for Machine Learning

Feature Unlearning for Pre-trained GANs and VAEs

Re-parameterizing VAEs for stability

Posterior Matching for Arbitrary Conditioning


Deep Reinforcement Learning: An Overview

Learning to Evade Static PE Machine Learning Malware Models via Reinforcement Learning

Deep Reinforcement Learning

Creating Valid Adversarial Examples of Malware


disentanglement_lib is an open-source library for research on learning disentangled representations.

Challenging Common Assumptions in the Unsupervised Learning of Disentangled Representations

Weakly-Supervised Disentanglement Without Compromises

Towards Nonlinear Disentanglement in Natural Data with Temporal Sparse Coding

Theory and Evaluation Metrics for Learning Disentangled Representations

Algorithmic fairness datasets: the story so far

Measuring Disentanglement: A Review of Metrics

Self-Supervised Learning Disentangled Group Representation as Feature

A Sober Look at the Unsupervised Learning of Disentangled Representations and their Evaluation

Visual Representation Learning Does Not Generalize Strongly Within the Same Domain

An Image is Worth More Than a Thousand Words: Towards Disentanglement in the Wild


主流ocr算法研究实验性的项目，目前实现了CNN+BLSTM+CTC架构

An End-to-End Trainable Neural Network for Image-Based Sequence Recognition and Its Application to Scene Text Recognition

Dense Residual Network: Enhancing Global Dense Feature Flow for Character Recognition

Fully-Convolutional Intensive Feature Flow Neural Network for Text Recognition

Compressed DenseNet for Lightweight Character Recognition


sentence embedding by Smooth Inverse Frequency weighting scheme

Word Rotator's Distance

Natural Language Processing markers in first episode psychosis and people at clinical high-risk

Context Mover's Distance & Barycenters: Optimal transport of contexts for building representations

Unsupervised Post-processing of Word Vectors via Conceptor Negation

Filtering Noisy Dialogue Corpora by Connectivity and Content Relatedness

Deep Contextualized Pairwise Semantic Similarity for Arabic Language Questions

Correcting the Common Discourse Bias in Linear Representation of Sentences using Conceptors

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

Meeting of the Association for Computational Linguistics

Self-Discriminative Learning for Unsupervised Document Embedding

North American Chapter of the Association for Computational Linguistics

Gating Mechanisms for Combining Character and Word-level Word Representations: An Empirical Study


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

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

GAN-Leaks: A Taxonomy of Membership Inference Attacks against Generative Models

Conference on Computer and Communications Security

How good is my GAN?

Photographic Text-to-Image Synthesis with a Hierarchically-nested Adversarial Network

What makes fake images detectable? Understanding properties that generalize

The GAN Landscape: Losses, Architectures, Regularization, and Normalization

Countering Malicious DeepFakes: Survey, Battleground, and Horizon

On Self Modulation for Generative Adversarial Networks

Synthesis of diagnostic quality cancer pathology images by generative adversarial networks


An optimizer that trains as fast as Adam and as good as SGD.

Adaptive Gradient Methods with Dynamic Bound of Learning Rate

AdaBelief Optimizer: Adapting Stepsizes by the Belief in Observed Gradients

On the Convergence of AdaBound and its Connection to SGD

Adaptive hierarchical hyper-gradient descent

CProp: Adaptive Learning Rate Scaling from Past Gradient Conformity


exBAKE: Automatic Fake News Detection Model Based on Bidirectional Encoder Representations from Transformers (BERT)

From Clickbait to Fake News Detection: An Approach based on Detecting the Stance of Headlines to Articles

From Stances' Imbalance to Their HierarchicalRepresentation and Detection

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

Investigating Rumor News Using Agreement-Aware Search

International Conference on Information and Knowledge Management

Variational Self-attention Model for Sentence Representation

University of Copenhagen Participation in TREC Health Misinformation Track 2020

A survey on rumor detection and prevention in social media using deep learning

News Monitor: A Framework for Exploring News in Real-Time

International Conference on Data Technologies and Applications

Danish Stance Classification and Rumour Resolution

Human-in-the-Loop Disinformation Detection: Stance, Sentiment, or Something Else?


Tensorflow implementation of  "Show, Attend and Tell: Neural Image Caption Generation with Visual Attention"

Improving Sequence-to-Sequence Learning via Optimal Transport

CulturAI: Semantic Enrichment of Cultural Data Leveraging Artificial Intelligence


Source code for Twitter's Recommendation Algorithm

MaskNet: Introducing Feature-Wise Multiplication to CTR Ranking Models by Instance-Guided Mask

Evaluating Twitter's Algorithmic Amplification of Low-Credibility Content: An Observational Study

TACO -- Twitter Arguments from COnversations


CPU usage limiter for Linux

SAQL: A Stream-based Query System for Real-Time Abnormal System Behavior Detection

EventTube: An Artificial Intelligent Edge Computing Based Event Aware System to Collaborate With Individual Devices in Logistics Systems

IEEE Transactions on Industrial Informatics

Distributed Training for Deep Learning Models On An Edge Computing Network Using Shielded Reinforcement Learning


AFL/QEMU fuzzing with full-system emulation.

Frankenstein: Advanced Wireless Fuzzing to Exploit New Bluetooth Escalation Targets

Fuzzing Hardware Like Software

From Library Portability to Para-rehosting: Natively Executing Microcontroller Software on Commodity Hardware

Proceedings 2021 Network and Distributed System Security Symposium

EVMFuzz: Differential fuzz testing of Ethereum virtual machine

FIRM-COV: High-Coverage Greybox Fuzzing for IoT Firmware via Optimized Process Emulation

ECMO: Peripheral Transplantation to Rehost Embedded Linux Kernels

EXAMINER: automatically locating inconsistent instructions between real devices and CPU emulators for ARM

Evaluating Code Coverage for Kernel Fuzzers via Function Call Graph


Practical Attacks Against Privacy and Availability in 4G/LTE Mobile Communication Systems

Freaky Leaky SMS: Extracting User Locations by Analyzing SMS Timings

FBSDetector: Fake Base Station and Multi Step Attack Detection in Cellular Networks using Machine Learning


OKVIS: Open Keyframe-based Visual-Inertial SLAM.

ORB-SLAM3: An Accurate Open-Source Library for Visual, Visual–Inertial, and Multimap SLAM

On-Manifold Preintegration for Real-Time Visual--Inertial Odometry

Selective Sensor Fusion for Neural Visual-Inertial Odometry

Robocentric Visual-Inertial Odometry

A Review of Visual-Inertial Simultaneous Localization and Mapping from Filtering-Based and Optimization-Based Perspectives

Closed-form preintegration methods for graph-based visual–inertial navigation

The International Journal of Robotics Research

Good Feature Matching: Toward Accurate, Robust VO/VSLAM With Low Latency

Experiments in Fast, Autonomous, GPS-Denied Quadrotor Flight


RNN based Time-series Anomaly detector model implemented in Pytorch.

Deep Learning for Anomaly Detection: A Survey

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

A Multimodal Anomaly Detector for Robot-Assisted Feeding Using an LSTM-based Variational Autoencoder

Combining OC-SVMs With LSTM for Detecting Anomalies in Telemetry Data With Irregular Intervals

Neuroscience-Inspired Algorithms for the Predictive Maintenance of Manufacturing Systems

ReX: A Framework for Incorporating Temporal Information in Model-Agnostic Local Explanation Techniques


BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain

Asleep at the Keyboard? Assessing the Security of GitHub Copilot's Code Contributions

Multimodal Chain-of-Thought Reasoning in Language Models

TenSEAL: A Library for Encrypted Tensor Operations Using Homomorphic Encryption

Neurotoxin: Durable Backdoors in Federated Learning

Single-Forward-Step Projective Splitting: Exploiting Cocoercivity


CNN-RNN中文文本分类，基于TensorFlow

Convolutional Neural Networks for Sentence Classification

Character-level Convolutional Networks for Text Classification

Pre-Training with Whole Word Masking for Chinese BERT

Revisiting Pre-Trained Models for Chinese Natural Language Processing

Android Malware Detection using Sequential Convolutional Neural Networks


Non-local Neural Networks for Video Classification

Non-local Neural Networks

Drop an Octave: Reducing Spatial Redundancy in Convolutional Neural Networks with Octave Convolution

Compact Generalized Non-local Network

A Multigrid Method for Efficiently Training Video Models

Budgeted Training: Rethinking Deep Neural Network Training Under Resource Constraints


Implementation of a classification framework from the paper Aggregated Residual Transformations for Deep Neural Networks

Shake-Shake regularization

Between-class Learning for Image Classification

Shakedrop Regularization for Deep Residual Learning

Memory-Efficient Implementation of DenseNets

Practices and Applications of Convolutional Neural Network-Based Computer Vision Systems in Animal Farming: A Review

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

Deep Networks from the Principle of Rate Reduction

Aerial Image Object Detection With Vision Transformer Detector (ViTDet)

Toward Runtime-Throttleable Neural Networks


Accelerating network inference over video

NoScope: Optimizing Neural Network Queries over Video at Scale

Physical Representation-Based Predicate Optimization for a Visual Analytics Database

International Conference on Data Engineering

Serdab: An IoT Framework for Partitioning Neural Networks Computation across Multiple Enclaves

SiEVE: Semantically Encoded Video Analytics on Edge and Cloud

Survey: Exploiting Data Redundancy for Optimization of Deep Learning

Machine Learning Systems for Highly-Distributed and Rapidly-Growing Data


[CVPR 2021] Closed-Form Factorization of Latent Semantics in GANs

Tensor Component Analysis for Interpreting the Latent Space of GANs

Polymorphic-GAN: Generating Aligned Samples across Multiple Domains with Learned Morph Maps

Fantastic Style Channels and Where to Find Them: A Submodular Framework for Discovering Diverse Directions in GANs

Unsupervised Discovery of Semantic Concepts in Satellite Imagery with Style-based Wavelet-driven Generative Models

Proceedings of the 12th Hellenic Conference on Artificial Intelligence


Generative Adversarial Text to Image Synthesis

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

Learning Deep Representations of Fine-grained Visual Descriptions

Mode Seeking Generative Adversarial Networks for Diverse Image Synthesis

Fashion-Gen: The Generative Fashion Dataset and Challenge

Describe What to Change: A Text-guided Unsupervised Image-to-Image Translation Approach

On the Evaluation of Conditional GANs

MCL-GAN: Generative Adversarial Networks with Multiple Specialized Discriminators

Nested Scale-Editing for Conditional Image Synthesis


Larger resolution face masked, weirdly warped, deepfake,

Celeb-DF: A Large-scale Challenging Dataset for DeepFake Forensics

Deep Learning for Deepfakes Creation and Detection: A Survey

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

Deepfakes generation and detection: state-of-the-art, open challenges, countermeasures, and way forward

DeepFake Detection: Current Challenges and Next Steps

Combining EfficientNet and Vision Transformers for Video Deepfake Detection

Protecting Celebrities from DeepFake with Identity Consistency Transformer

Towards Universal Fake Image Detectors that Generalize Across Generative Models

Deepfake Detection using Spatiotemporal Convolutional Networks

Deepfake Videos in the Wild: Analysis and Detection


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

AraWEAT: Multidimensional Analysis of Biases in Arabic Word Embeddings

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

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

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

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


2019新型冠状病毒疫情时间序列数据仓库 | COVID-19/2019-nCoV Infection Time Series Data Warehouse

Visual Data Analysis and Simulation Prediction for COVID-19

An Improved STL-LSTM Model for Daily Bus Passenger Flow Prediction during the COVID-19 Pandemic

COVID-19 Asymptomatic Infection Estimation

Simulating the spread of epidemics in China on multi-layer transportation networks: Beyond COVID-19 in Wuhan

Working from home and firm resilience to the COVID‐19 pandemic

A spatiotemporal data collection of viral cases for COVID-19 rapid response

Highly coordinated nationwide massive travel restrictions are central to effective mitigation and control of COVID-19 outbreaks in China

Traffic Density Reduction Caused by City Lockdowns Across the World During the COVID-19 Epidemic: From the View of High-Resolution Remote Sensing Imagery

COVID19 Tracking: An Interactive Tracking, Visualizing and Analyzing Platform

Modeling of suppression and mitigation interventions in the COVID-19 epidemics


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


Piotr's Image & Video Matlab Toolbox

Video Frame Synthesis using Deep Voxel Flow

Getting to Know Low-light Images with The Exclusively Dark Dataset

Linear Support Tensor Machine With LSK Channels: Pedestrian Detection in Thermal Infrared Images

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

Deep Multi-camera People Detection

Posterior amygdala regulates sexual and aggressive behaviors in male mice

Micro-expression detection in long videos using optical flow and recurrent neural networks

Faster R-CNN for Robust Pedestrian Detection Using Semantic Segmentation Network

Learning layer-specific edges for segmenting retinal layers with large deformations

Object Contour and Edge Detection with RefineContourNet

Visual Tracking via Boolean Map Representations


A curated list of awesome resources related to executable packing

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

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

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

Binary-code obfuscations in prevalent packer tools

DexHunter: Toward Extracting Hidden Code from Packed Android Applications

Semi-supervised Learning for Unknown Malware Detection

International Symposium on Distributed Computing and Artificial Intelligence

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

AppSpear: Bytecode Decrypting and DEX Reassembling for Packed Android Malware

Entropy analysis to classify unknown packing algorithms for malware detection

International Journal of Information Security

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

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

A Close Look at a Daily Dataset of Malware Samples

ACM Transactions on Privacy and Security


Implementation for <SphereFace: Deep Hypersphere Embedding for Face Recognition> in CVPR'17.

Face Recognition: Primates in the Wild

Real masks and spoof faces: On the masked face presentation attack detection

DocFace: Matching ID Document Photos to Selfies

DocFace+: ID Document to Selfie Matching

Racial Faces in-the-Wild: Reducing Racial Bias by Deep Unsupervised Domain Adaptation.

Recognizing Families In the Wild (RFIW): The 4th Edition

On the Capacity of Face Representation

The 5th Recognizing Families in the Wild Data Challenge: Predicting Kinship from Faces


Spearmint is a package to perform Bayesian optimization according to the algorithms outlined in the paper:  Practical Bayesian Optimization of Machine Learning Algorithms. Jasper Snoek, Hugo Larochelle and Ryan P. Adams.  Advances in Neural Information Processing Systems, 2012

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

A Tutorial on Bayesian Optimization

Recurrent Neural Networks for Time Series Forecasting: Current status and future directions

Freeze-Thaw Bayesian Optimization

Bayesian optimization for materials design

A Roadmap for HEP Software and Computing R&D for the 2020s

Deep Feature Learning for EEG Recordings

The Role of Context Types and Dimensionality in Learning Word Embeddings

Combinatorial Bayesian Optimization using the Graph Cartesian Product


Use commands in English to control Blender with OpenAI's GPT-4

L3GO: Language Agents with Chain-of-3D-Thoughts for Generating
  Unconventional Objects

SceneCraft: An LLM Agent for Synthesizing 3D Scene as Blender Code

How Far Are We From AGI


DSOD: Learning Deeply Supervised Object Detectors from Scratch. In ICCV 2017.

An Energy and GPU-Computation Efficient Backbone Network for Real-Time Object Detection

Object Detection from Scratch with Deep Supervision


Use Google's BERT for named entity recognition （CoNLL-2003 as the dataset）.

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

Korean clinical entity recognition from diagnosis text using BERT

BMC medical informatics and decision making

English Recipe Flow Graph Corpus

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

Sentence-Level Resampling for Named Entity Recognition

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

Comparing Machine Learning and Deep Learning Approaches on NLP Tasks for the Italian Language

Concept Extraction Using Pointer-Generator Networks

Building a Task-oriented Dialog System for Languages with no Training Data: the Case for Basque


Collapsed Variational Bayes

Temporal mixture modelling of single-cell RNA-seq data resolves a CD4+ T cell fate bifurcation


Index repo for Kimera code

ORB-SLAM3: An Accurate Open-Source Library for Visual, Visual–Inertial, and Multimap SLAM

Kimera: an Open-Source Library for Real-Time Metric-Semantic Localization and Mapping

Kimera: From SLAM to spatial perception with 3D dynamic scene graphs

3D Dynamic Scene Graphs: Actionable Spatial Perception with Places, Objects, and Humans

Incremental Visual-Inertial 3D Mesh Generation with Structural Regularities

Exploring Extended Reality with ILLIXR: A New Playground for Architecture Research

RP-VIO: Robust Plane-based Visual-Inertial Odometry for Dynamic Environments

Struct-MDC: Mesh-Refined Unsupervised Depth Completion Leveraging Structural Regularities From Visual SLAM

gatekeeper: Online Safety Verification and Control for Nonlinear Systems in Dynamic Environments

Providers-Clients-Robots: Framework for spatial-semantic planning for shared understanding in human-robot interaction


TextBoxes: A Fast Text Detector with a Single Deep Neural Network

TextBoxes++: A Single-Shot Oriented Scene Text Detector

Mask TextSpotter: An End-to-End Trainable Neural Network for Spotting Text with Arbitrary Shapes

Scene Text Detection and Recognition: The Deep Learning Era

Text Recognition in the Wild: A Survey

Integrating Scene Text and Visual Appearance for Fine-Grained Image Classification

Extracting textual overlays from social media videos using neural networks


MIRACL Cryptographic SDK: Multiprecision Integer and Rational Arithmetic Cryptographic Library is a C software library that is widely regarded by developers as the gold standard open source SDK for elliptic curve cryptography (ECC).

An Efficient User Authentication and User Anonymity Scheme with Provably Security for IoT-Based Medical Care System

An Efficient and Provably Secure Certificateless Key-Encapsulated Signcryption Scheme for Flying Ad-hoc Network

How to End Password Reuse on the Web

Proceedings 2019 Network and Distributed System Security Symposium

An Online-Offline Certificateless Signature Scheme for Internet of Health Things

TrustSAS: A Trustworthy Spectrum Access System for the 3.5 GHz CBRS Band

International Conference on Computer Communications

Multiaccess Edge Computing Empowered Flying Ad Hoc Networks with Secure Deployment Using Identity-Based Generalized Signcryption

An Efficient and Provably Secure Certificateless Blind Signature Scheme for Flying Ad-Hoc Network Based on Multi-Access Edge Computing

A Secure, Lightweight, and Anonymous User Authentication Protocol for IoT Environments

Lightweight Failover Authentication Mechanism for IoT-Based Fog Computing Environment

Identity-Based Key Exchange on In-Vehicle Networks: CAN-FD & FlexRay


AI Feynman: a Physics-Inspired Method for Symbolic Regression

AI Feynman 2.0: Pareto-optimal symbolic regression exploiting graph modularity

Rethinking Symbolic Regression Datasets and Benchmarks for Scientific Discovery

Cosmic backreaction and the mean redshift drift from symbolic regression

Learning Symbolic Expressions: Mixed-Integer Formulations, Cuts, and Heuristics

Conjecturing-Based Discovery of Patterns in Data


Transfer learning for time series classification

A Survey on Time-Series Pre-Trained Models

Deep learning for time series classification


Project for paper "Learning 3D Human Dynamics from Video"

Learning 3D Human Dynamics from Video

Recent Advances of Monocular 2D and 3D Human Pose Estimation: A Deep Learning Perspective

SMPLer-X: Scaling Up Expressive Human Pose and Shape Estimation


Large datasets for conversational AI

ConveRT: Efficient and Accurate Conversational Representations from Transformers

Training Neural Response Selection for Task-Oriented Dialogue Systems

A Repository of Conversational Datasets

Open-Domain Conversational Agents: Current Progress, Open Problems, and Future Directions

AUGNLG: Few-shot Natural Language Generation using Self-trained Data Augmentation

A Survey of Intent Classification and Slot-Filling Datasets for Task-Oriented Dialog

Emotion Eliciting Machine: Emotion Eliciting Conversation Generation based on Dual Generator

Do the Findings of Document and Passage Retrieval Generalize to the Retrieval of Responses for Dialogues?


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

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

Attention Gated Networks: Learning to Leverage Salient Regions in Medical Images

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

Attention-Gated Networks for Improving Ultrasound Scan Plane Detection

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

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

Recurrent Feature Propagation and Edge Skip-Connections for Automatic Abdominal Organ Segmentation

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

UDBRNet: A novel uncertainty driven boundary refined network for organ at risk segmentation


A python implementation of the Rapid Automatic Keyword Extraction

Abstractive Unsupervised Multi-Document Summarization using Paraphrastic Sentence Fusion

International Conference on Computational Linguistics

Generating Multiple Diverse Responses for Short-Text Conversation

Extract with Order for Coherent Multi-Document Summarization

Cluster Labeling by Word Embeddings and WordNet's Hypernymy

Australasian Language Technology Association Workshop

Exploratory Analysis of Highly Heterogeneous Document Collections

Analyzing Social Book Reading Behavior on Goodreads and how it predicts Amazon Best Sellers

Document Level Novelty Detection: Textual Entailment Lends a Helping Hand

International conference natural language processing

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


Siamese and triplet networks with online pair/triplet mining in PyTorch

FaceNet: A Unified Embedding for Face Recognition and Clustering

In Defense of the Triplet Loss for Person Re-Identification

Class Attention to Regions of Lesion for Imbalanced Medical Image Recognition

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


Convolutional nets which can take molecular graphs of arbitrary size as input.

Convolutional Networks on Graphs for Learning Molecular Fingerprints

Deep Learning on Graphs: A Survey

Recent advances and applications of deep learning methods in materials science

To Embed or Not: Network Embedding as a Paradigm in Computational Biology

Integrating Artificial Intelligence for Drug Discovery in the Context of Revolutionizing Drug Delivery

Uncertainty quantification of molecular property prediction with Bayesian neural networks

Tartarus: A Benchmarking Platform for Realistic And Practical Inverse Molecular Design

State of the Art and Potentialities of Graph-level Learning

Uncertainty quantification of molecular property prediction using Bayesian neural network models

A snapshot review on soft materials assembly design utilizing machine learning methods


Parallel filesystem I/O benchmark

Optimizing the SSD Burst Buffer by Traffic Detection

Live Forensics for Distributed Storage Systems

Evaluating Dynamic File Striping For Lustre

Handling high data rate detectors at Diamond Light Source


[SIGGRAPH'22] StyleGAN-XL: Scaling StyleGAN to Large Diverse Datasets

3D generation on ImageNet

Exposing flaws of generative model evaluation metrics and their unfair treatment of diffusion models

PTW: Pivotal Tuning Watermarking for Pre-Trained Image Generators

DiffMorpher: Unleashing the Capability of Diffusion Models for Image Morphing

SAN: Inducing Metrizability of GAN with Discriminative Normalized Linear Layer

Revisiting the Evaluation of Image Synthesis with GANs

DF40: Toward Next-Generation Deepfake Detection

Improving the Effectiveness of Deep Generative Data


Research Object manager command line tool(s) and web service

Using a suite of ontologies for preserving workflow-centric research objects

Sciunits: Reusable Research Objects

Structuring research methods and data with the research object model: genomics workflows as a case study

The Research Object Suite of Ontologies: Sharing and Exchanging Research Data and Methods on the Open Web

Utilizing Provenance in Reusable Research Objects


Kippo - SSH Honeypot

A Survey on Honeypot Software and Data Analysis

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

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

Enhancing Honeypot Deception Capability Through Network Service Fingerprinting

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

Honeypots for employee information security awareness and education training: A conceptual EASY training model

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

Evaluating Deception and Moving Target Defense with Network Attack Simulation

Proceedings of the 9th ACM Workshop on Moving Target Defense

Cloud Watching: Understanding Attacks Against Cloud-Hosted Services

Proceedings of the 2023 ACM on Internet Measurement Conference

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


Purified Purine.

The History Began from AlexNet: A Comprehensive Survey on Deep Learning Approaches

Benchmarking Contemporary Deep Learning Hardware and Frameworks:A Survey of Qualitative Metrics

Purine: A bi-graph based deep learning framework

DeepFoldit -- A Deep Reinforcement Learning Neural Network Folding Proteins


Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks

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

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

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

Generating Multiple Objects at Spatially Distinct Locations

On the Evaluation of Conditional GANs

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

Visual-Relation Conscious Image Generation from Structured-Text

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

Obj-GloVe: Scene-Based Contextual Object Embedding


UAlbertaBot

Learning Macromanagement in StarCraft from Replays using Deep Learning

Modular Architecture for StarCraft II with Deep Reinforcement Learning

Combat Models for RTS Games

Asymmetric Action Abstractions for Multi-Unit Control in Adversarial Real-Time Games

Learning to Identify Rush Strategies in StarCraft


WIT (Wikipedia-based Image Text) Dataset is a large multimodal multilingual dataset comprising 37M+ image-text sets with 11M+ unique images across 100+ languages.

WIT: Wikipedia-based Image Text Dataset for Multimodal Multilingual Machine Learning

A Comprehensive Evaluation of GPT-4V on Knowledge-Intensive Visual Question Answering

Show, Interpret and Tell: Entity-aware Contextualised Image Captioning in Wikipedia

AToMiC: An Image/Text Retrieval Test Collection to Support Multimedia Content Creation

A Suite of Generative Tasks for Multi-Level Multimodal Webpage Understanding

LeanVec: Searching vectors faster by making them fit


A retargetable MLIR-based machine learning compiler and runtime toolkit.

TensorIR: An Abstraction for Automatic Tensorized Program Optimization

DISC: A Dynamic Shape Compiler for Machine Learning Workloads

Union: A Unified HW-SW Co-Design Ecosystem in MLIR for Evaluating Tensor Operations on Spatial Accelerators

Automatic Creation of High-bandwidth Memory Architectures from Domain-specific Languages: The Case of Computational Fluid Dynamics

TinyIREE: An ML Execution Environment for Embedded Systems From Compilation to Deployment

Harnessing Deep Learning and HPC Kernels via High-Level Loop and Tensor Abstractions on CPU Architectures


PyTorch for Semantic Segmentation

Spherical CNNs on Unstructured Grids

Truly Generalizable Radiograph Segmentation with Conditional Domain Adaptation

Extremely Weak Supervised Image-to-Image Translation for Semantic Segmentation


Neural relational inference for interacting systems - pytorch

E(n) Equivariant Graph Neural Networks

SE(3)-Transformers: 3D Roto-Translation Equivariant Attention Networks

Filling the G_ap_s: Multivariate Time Series Imputation by Graph Neural Networks

SE(3) Equivariant Graph Neural Networks with Complete Local Frames

Learning Temporal Attention in Dynamic Graphs with Bilinear Interactions

Multi-agent Trajectory Prediction with Fuzzy Query Attention

Neural Relational Inference with Efficient Message Passing Mechanisms

A Graph Dynamics Prior for Relational Inference

Collective Relational Inference for learning heterogeneous interactions


Dense Prediction Transformers

Vision Transformers for Dense Prediction

Expediting Large-Scale Vision Transformer for Dense Prediction without Fine-tuning

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

PERF: Panoramic Neural Radiance Field from a Single Panorama

Dense Prediction Transformer for Scale Estimation in Monocular Visual Odometry

Stochastic Coherence Over Attention Trajectory For Continuous Learning In Video Streams

UP-NeRF: Unconstrained Pose-Prior-Free Neural Radiance Fields


Drawing Bayesian networks, graphical models, tensors, technical frameworks, and illustrations in LaTeX.

Bayesian CP Factorization of Incomplete Tensors with Automatic Rank Determination

IEEE transactions on pattern analysis and machine intelligence

A Bayesian tensor decomposition approach for spatiotemporal traffic data imputation

Transportation Research Part C: Emerging Technologies

Bayesian Temporal Factorization for Multidimensional Time Series Prediction

A nonconvex low-rank tensor completion model for spatiotemporal traffic data imputation

Missing traffic data imputation and pattern discovery with a Bayesian augmented tensor factorization model

Low-Rank Autoregressive Tensor Completion for Spatiotemporal Traffic Data Imputation

Scalable low-rank tensor learning for spatiotemporal traffic data imputation

A Large Scale PeMS Traffic Speed Dataset

Zenodo (CERN European Organization for Nuclear Research)


Deeper Depth Prediction with Fully Convolutional Residual Networks (FCRN)

MVDepthNet: Real-time Multiview Depth Estimation Neural Network

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

Peeking Behind Objects: Layered Depth Prediction from a Single Image

Real-time Vision-based Depth Reconstruction with NVidia Jetson

DeepLens: Towards a Visual Data Management System

Depth Estimation on Underwater Omni-directional Images Using a Deep Neural Network

Black-box Adversarial Attacks on Monocular Depth Estimation Using Evolutionary Multi-objective Optimization


This repository contains the code for "Exploiting Cloze Questions for Few-Shot Text Classification and Natural Language Inference"

Exploiting Cloze Questions for Few Shot Text Classification and Natural Language Inference

It's Not Just Size That Matters: Small Language Models Are Also Few-Shot Learners

Few-Shot Text Generation with Natural Language Instructions

Automatically Identifying Words That Can Serve as Labels for Few-Shot Text Classification

True Few-Shot Learning with Prompts -- A Real-World Perspective

Revisiting Self-Training for Few-Shot Learning of Language Model

Instance-Aware Prompt Learning for Language Understanding and Generation

Foundation Models for Natural Language Processing -- Pre-trained Language Models Integrating Media

Making Pre-trained Language Models End-to-end Few-shot Learners with Contrastive Prompt Tuning

Towards Unified Prompt Tuning for Few-shot Text Classification


[ICML 2024] Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model

Training data-efficient image transformers & distillation through attention

Mamba: Linear-Time Sequence Modeling with Selective State Spaces

MambaLRP: Explaining Selective State Space Sequence Models


Code for "Neural Body: Implicit Neural Representations with Structured Latent Codes for Novel View Synthesis of Dynamic Humans" CVPR 2021 best paper candidate

Neural Actor: Neural Free-view Synthesis of Human Actors with Pose Control

UV Volumes for Real-time Rendering of Editable Free-view Human Performance

Neural Image-based Avatars: Generalizable Radiance Fields for Human Avatar Modeling

UV Gaussians: Joint Learning of Mesh Deformation and Gaussian Textures
  for Human Avatar Modeling


NeRF (Neural Radiance Fields) and NeRF in the Wild using pytorch-lightning

NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis

NeRF in the Wild: Neural Radiance Fields for Unconstrained Photo Collections

Nerfstudio: A Modular Framework for Neural Radiance Field Development

K-Planes: Explicit Radiance Fields in Space, Time, and Appearance

LENS: Localization enhanced by NeRF synthesis

Factorized and Controllable Neural Re-Rendering of Outdoor Scene for Photo Extrapolation

Proceedings of the 30th ACM International Conference on Multimedia

CLNeRF: Continual Learning Meets NeRF

Towards Learning Neural Representations from Shadows

Erasing the Ephemeral: Joint Camera Refinement and Transient Object Removal for Street View Synthesis


Karras et al. (2022) diffusion models for PyTorch

Elucidating the Design Space of Diffusion-Based Generative Models

DreamSim: Learning New Dimensions of Human Visual Similarity using Synthetic Data

Directed Diffusion: Direct Control of Object Placement through Attention Guidance

Scalable High-Resolution Pixel-Space Image Synthesis with Hourglass Diffusion Transformers

A Reproducible Extraction of Training Images from Diffusion Models

PC-Droid: Faster diffusion and improved quality for particle cloud generation

Optimal Linear Subspace Search: Learning to Construct Fast and High-Quality Schedulers for Diffusion Models

Generalized Multi-Source Inference for Text Conditioned Music Diffusion Models

Improving Diffusion Models for Inverse Problems Using Optimal Posterior
  Covariance

EDMSound: Spectrogram Based Diffusion Models for Efficient and High-Quality Audio Synthesis


Real-time pose estimation accelerated with NVIDIA TensorRT

A Deep-Learning Based Posture Detection System for Preventing Telework-Related Musculoskeletal Disorders

An Intelligent Baby Monitor with Automatic Sleeping Posture Detection and Notification

Using Monocular Vision and Human Body Priors for AUVs to Autonomously Approach Divers

Aggressive Aerial Grasping using a Soft Drone with Onboard Perception

Multi-person 3D pose estimation from unlabelled data

CNN Based ToF Image Processing

Proceedings of the Python in Science Conferences


XAI - An eXplainability toolbox for machine learning

One Explanation Does Not Fit All: A Toolkit and Taxonomy of AI Explainability Techniques

Trustworthy AI: From Principles to Practices

Software engineering for Responsible AI: An empirical study and operationalised patterns

Building Trustworthy AI Solutions: A Case for Practical Solutions for Small Businesses

IEEE Transactions on Artificial Intelligence


An SDR LoRa implementation for R&D

Measurement, Characterization, and Modeling of LoRa Technology in Multifloor Buildings

An Open-Source LoRa Physical Layer Prototype on GNU Radio

Software Defined Radio Platforms for Wireless Technologies

Characterizing the Impact of Doppler Effects on Body-Centric LoRa Links with SDR


AutoInt: Automatic Feature Interaction Learning via Self-Attentive Neural Networks

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

Session-based Social Recommendation via Dynamic Graph Attention Networks

User Response Prediction in Online Advertising

FIVES: Feature Interaction Via Edge Search for Large-Scale Tabular Data

Ekar: An Explainable Method for Knowledge Aware Recommendation

UniTabE: Pretraining a Unified Tabular Encoder for Heterogeneous Tabular Data

Dynamic Parameterized Network for CTR Prediction

Click-Through Rate Prediction Using Graph Neural Networks and Online Learning

LLP-Bench: A Large Scale Tabular Benchmark for Learning from Label Proportions


Preprints from the BDI Pathogen Dynamics team regarding digital contact tracing and other non-pharmaceutical interventions for Covid-19. More details on our website:

Automated and partly automated contact tracing: a systematic review to inform the control of COVID-19

Bidirectional contact tracing could dramatically improve COVID-19 control

A population-based controlled experiment assessing the epidemiological impact of digital contact tracing

Quality and Adoption of COVID-19 Tracing Apps and Recommendations for Development: Systematic Interdisciplinary Review of European Apps

From Pandemic Control to Data-Driven Governance: The Case of China’s Health Code

Best Practice Guidance for Digital Contact Tracing Apps: A Cross-disciplinary Review of the Literature

Listening to Bluetooth Beacons for Epidemic Risk Mitigation

Digital Citizen Science for Responding to COVID-19 Crisis: Experiences from Iran

International journal of environmental research and public health

Estimating SARS-CoV-2 variant fitness and the impact of interventions in England using statistical and geo-spatial agent-based models

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

Large-scale calibration and simulation of COVID-19 epidemiologic scenarios to support healthcare planning


Dynamic analysis of Android apps

R2-D2: ColoR-inspired Convolutional NeuRal Network (CNN)-based AndroiD Malware Detections

EMULATOR vs REAL PHONE: Android Malware Detection Using Machine Learning

Research on Third-Party Libraries in Android Apps: A Taxonomy and Systematic Literature Review

Machine learning-based dynamic analysis of Android apps with improved code coverage

Improving Dynamic Analysis of Android Apps Using Hybrid Test Input Generation

A Method for Automatic Android Malware Detection Based on Static Analysis and Deep Learning

A Fog Computing Solution for Context-Based Privacy Leakage Detection for Android Healthcare Devices

Semi-supervised classification for dynamic Android malware detection

An Analysis of Android Malware Classification Services

FeatureAnalytics: An approach to derive relevant attributes for analyzing Android Malware


A TensorFlow implementation of this Nvidia paper: https://arxiv.org/pdf/1604.07316.pdf with some changes

End to End Learning for Self-Driving Cars

Scalable End-to-End Autonomous Vehicle Testing via Rare-event Simulation

A Low-cost Fault Corrector for Deep Neural Networks through Range Restriction

The Art and Practice of Data Science Pipelines: A Comprehensive Study of
  Data Science Pipelines In Theory, In-The-Small, and In-The-Large

Autonomous Driving in Reality with Reinforcement Learning and Image Translation

Delicar: A Smart Deep Learning Based Self Driving Product Delivery Car in Perspective of Bangladesh

A Little Fog for a Large Turn

Workshop on Applications of Computer Vision

Supporting Safety Analysis of Image-processing DNNs through Clustering-based Approaches

Towards a Change Taxonomy for Machine Learning Systems


Sharing Updatable Models (SUM) on Blockchain

Decentralized & Collaborative AI on Blockchain

International Congress on Blockchain and Applications

Applications and Challenges of Artificial Intelligence in Space Missions

Analysis of Models for Decentralized and Collaborative AI on Blockchain

An Investigation of Smart Contract for Collaborative Machine Learning Model Training


Python implementation of the conformal prediction framework.

Big-Data Science in Porous Materials: Materials Genomics and Machine Learning

Predicting With Confidence: Using Conformal Prediction in Drug Discovery

Maximizing gain in high-throughput screening using conformal prediction

How Nonconformity Functions and Difficulty of Datasets Impact the Efficiency of Conformal Classifiers

Traditional Machine and Deep Learning for Predicting Toxicity Endpoints

Conformal Prediction with Orange

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


Udacity Self-Driving Car Engineer Nanodegree projects.

Paracosm: A Language and Tool for Testing Autonomous Driving Systems

VERIFAI: A Toolkit for the Design and Analysis of Artificial Intelligence-Based Systems

Implementation of NAO Robot Maze Navigation Based on Computer Vision and Collaborative Learning

A pipeline framework for robot maze navigation using computer vision, path planning and communication protocols

International Conference on Developments in eSystems Engineering


MVSNet (ECCV2018) & R-MVSNet (CVPR2019)

MVSNet: Depth Inference for Unstructured Multi-view Stereo

Recurrent MVSNet for High-resolution Multi-view Stereo Depth Inference

A Benchmark and a Baseline for Robust Multi-view Depth Estimation


ConceptNet 5.5: An Open Multilingual Graph of General Knowledge

TechNet: Technology semantic network based on patent data

ConceptNet at SemEval-2017 Task 2: Extending Word Embeddings with Multilingual Relational Knowledge

Meeting of the Association for Computational Linguistics

An Ensemble Method to Produce High-Quality Word Embeddings (2016)

XL-AMR: Enabling Cross-Lingual AMR Parsing with Transfer Learning Techniques

PROCEEDINGS OF THE 2020 CONFERENCE ON EMPIRICAL METHODS IN NATURAL LANGUAGE PROCESSING (EMNLP)

Enhance word representation for out-of-vocabulary on Ubuntu dialogue corpus

Comparative Analysis of Word Embeddings for Capturing Word Similarities

Cross-Lingual Document Retrieval Using Regularized Wasserstein Distance

A Study on Efficiency, Accuracy and Document Structure for Answer Sentence Selection

Can Pre-trained Language Models Understand Chinese Humor?


Powerful Python tool to analyze PDF documents

On Training Robust PDF Malware Classifiers

PDF-Malware: An Overview on Threats, Detection and Evasion Attacks

Double-Layer Detection Model of Malicious PDF Documents Based on Entropy Method with Multiple Features

From Attachments to SEO: Click Here to Learn More about Clickbait PDFs!


Detecting Text in Natural Image with Connectionist Text Proposal Network (ECCV'16)

Scene Text Detection and Recognition: The Deep Learning Era

Deep Residual Text Detection Network for Scene Text

Boosting up Scene Text Detectors with Guided CNN

A High-Precision Method for Segmentation and Recognition of Shopping Mall Plans


Baidu's open-source Sentiment Analysis System.

SKEP: Sentiment Knowledge Enhanced Pre-training for Sentiment Analysis

A Sentiment-Controllable Topic-to-Essay Generator with Topic Knowledge Graph

Grammar Based Directed Testing of Machine Learning Systems

Local COVID-19 Severity and Social Media Responses: Evidence From China

IEEE access : practical innovations, open solutions

Think Twice: A Human-like Two-stage Conversational Agent for Emotional Response Generation

Public sentiment analysis on urban regeneration: A massive data study based on sentiment knowledge enhanced pre-training and latent Dirichlet allocation

A Multitask Learning Framework for Abuse Detection and Emotion Classification

How Do Citizens View Digital Government Services? Study on Digital Government Service Quality Based on Citizen Feedback

Identification of tourists’ dynamic risk perception—the situation in Tibet

Humanities and Social Sciences Communications

Disentangled Variational Topic Inference for Topic-Accurate Financial Report Generation

Proceedings of the Fourth Workshop on Financial Technology and Natural Language Processing (FinNLP)


Tensorflow implementation of "BEGAN: Boundary Equilibrium Generative Adversarial Networks"

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

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

The Robust Manifold Defense: Adversarial Training using Generative Models

Countering Malicious DeepFakes: Survey, Battleground, and Horizon

MAGAN: Margin Adaptation for Generative Adversarial Networks


Parser for Attempto Controlled English (ACE)

A Multilingual Semantic Wiki Based on Attempto Controlled English and Grammatical Framework

Querying Knowledge via Multi-Hop English Questions

Theory and Practice of Logic Programming

Model-based generation of natural language specifications


Implementation of SegNet: A Deep Convolutional Encoder-Decoder Architecture for Semantic Pixel-Wise Labelling

Bayesian SegNet: Model Uncertainty in Deep Convolutional Encoder-Decoder Architectures for Scene Understanding

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

Bayesian convolutional neural network based MRI brain extraction on nonhuman primates

Deep Sclera Segmentation and Recognition

Advanced Soccer Skills and Team Play of RoboCup 2017 TeenSize Winner NimbRo

Pixel-wise Ear Detection with Convolutional Encoder-Decoder Networks

Semiparallel deep neural network hybrid architecture: first application on depth from monocular camera

Adding Cues to Binary Feature Descriptors for Visual Place Recognition

Green Is Not the Same as Green: Differentiating Between the Association of Trees and Open Green Spaces With Children's Brain Structure in the Netherlands


Framework for learning dialogue agents in a two-player game setting.

Learning Symmetric Collaborative Dialogue Agents with Dynamic Knowledge Graph Embeddings

Decoupling Strategy and Generation in Negotiation Dialogues

DoQA -- Accessing Domain-Specific FAQs via Conversational QA

DialoGraph: Incorporating Interpretable Strategy-Graph Networks into Negotiation Dialogues

The Interplay of Task Success and Dialogue Quality: An in-depth Evaluation in Task-Oriented Visual Dialogues

Show, Price and Negotiate: A Negotiator with Online Value Look-Ahead


PEframe is a open source tool to perform static analysis on Portable Executable malware and malicious MS Office documents.

Machine Learning Aided Static Malware Analysis: A Survey and Tutorial

Malware triage for early identification of Advanced Persistent Threat activities

Integration of Static and Dynamic Analysis for Malware Family Classification with Composite Neural Network

Analysis of Machine Learning Approaches to Packing Detection

Experimental Toolkit for Manipulating Executable Packing


PyXAB - A Python Library for X-Armed Bandit and Online Blackbox Optimization Algorithms

Optimum-statistical Collaboration Towards General and Efficient Black-box Optimization

PyXAB – A Python Library for ��-Armed Bandit and Online Blackbox Optimization Algorithms

Federated X-Armed Bandit

Personalized Federated X -armed Bandit


Transition-based dependency parser based on stack LSTMs

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

DyNet: The Dynamic Neural Network Toolkit

Improved Transition-Based Parsing by Modeling Characters instead of Words with LSTMs

Distilling an Ensemble of Greedy Dependency Parsers into One MST Parser

Greedy, Joint Syntactic-Semantic Parsing with Stack LSTMs

Parsing as Pretraining

Greedy Transition-Based Dependency Parsing with Stack LSTMs

International Conference on Computational Logic

DeepCx: A transition-based approach for shallow semantic parsing with complex constructional triggers

Empirical Methods in Natural Language Processing

Differentia compositionem facit. A Slower-Paced and Reliable Parser for Latin


Short read de novo assembler using de Bruijn graphs, as published in: D.R. Zerbino and E. Birney. 2008. Velvet: algorithms for de novo short read assembly using de Bruijn graphs. Genome Research, 18: 821-829

A New Israeli Tobamovirus Isolate Infects Tomato Plants Harboring Tm-22 Resistance Genes

Comparative transcriptome analysis of lufenuron-resistant and susceptible strains of Spodoptera frugiperda (Lepidoptera: Noctuidae)

Integrating long-range connectivity information into de Bruijn graphs

Sensitivity of Small RNA-Based Detection of Plant Viruses

De Novo Assembly and Characterization of the Invasive Northern Pacific Seastar Transcriptome

High Diversity of Novel Viruses in the Tree Pathogen Phytophthora castaneae Revealed by High-Throughput Sequencing of Total and Small RNA

Genomic and phenotypic characterisation of invasive neonatal and colonising group B Streptococcus isolates from Slovenia, 2001–2018

Exon-based Phylogenomics and the Relationships of African Cichlid Fishes: Tackling the Challenges of Reconstructing Phylogenies with Repeated Rapid Radiations

De novo genome assembly of Bacillus altitudinis 19RS3 and Bacillus altitudinis T5S-T4, two plant growth-promoting bacteria isolated from Ilex paraguariensis St. Hil. (yerba mate)

Out of Sight, Out of Place: Detecting and Assessing Swapped Arguments


Python botnet and backdoor

Two-Stage Intelligent Model for Detecting Malicious DDoS Behavior

Investigating Generalized Performance of Data-Constrained Supervised Machine Learning Models on Novel, Related Samples in Intrusion Detection

Trusted Multi-Domain DDoS Detection Based on Federated Learning

Characterizing the Impact of Data-Damaged Models on Generalization Strength in Intrusion Detection


Age detection in Tensorflow

Age and Gender Classification using Convolutional Neural Networks

Decoupling "when to update" from "how to update"

Efficient facial representations for age, gender and identity recognition in organizing photo albums using multi-output ConvNet

Property Inference Attacks Against GANs

Implicit Diversity in Image Summarization


Toolkit for processing sequences in FASTA/Q formats

SOAPnuke: a MapReduce acceleration-supported software for integrated quality control and preprocessing of high-throughput sequencing data

Reconstructing lineage hierarchies of the distal lung epithelium using single-cell RNA-seq

A rapid and robust method for single cell chromatin accessibility profiling

BlobToolKit – Interactive Quality Assessment of Genome Assemblies

SARS-CoV-2 evolution during treatment of chronic infection

Mother-to-Infant Microbial Transmission from Different Body Sites Shapes the Developing Infant Gut Microbiome

Genome flux and stasis in a five millennium transect of European prehistory

A draft human pangenome reference

Resistance to Sharka in Apricot: Comparison of Phase-Reconstructed Resistant and Susceptible Haplotypes of ‘Lito’ Chromosome 1 and Analysis of Candidate Genes

Improvements to the ARTIC multiplex PCR method for SARS-CoV-2 genome sequencing using nanopore

bioRxiv : the preprint server for biology


Swift Core ML 3 implementations of GPT-2, DistilGPT-2, BERT, and DistilBERT for Question answering. Other Transformers coming soon!

Language Models are Unsupervised Multitask Learners

HuggingFace's Transformers: State-of-the-art Natural Language Processing

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

Training Optimus Prime, M.D.: Generating Medical Certification Items by Fine-Tuning OpenAI's gpt2 Transformer Model


A fast, efficient universal vector embedding utility package.

Enriching Word Vectors with Subword Information

Knowledge-Enriched Transformer for Emotion Detection in Textual Conversations

Message Passing for Complex Question Answering over Knowledge Graphs

Magnitude: A Fast, Efficient Universal Vector Embedding Utility Package

Identifying Offensive Posts and Targeted Offense from Twitter

Knowledge-based Conversational Search

Multimodal Dialogue State Tracking By QA Approach with Data Augmentation


Trash Annotations in Context Dataset Toolkit

TACO: Trash Annotations in Context for Litter Detection

OATCR: Outdoor Autonomous Trash-Collecting Robot Design Using YOLOv4-Tiny

Methodology for Translation of Video Content Activates into Text Description: Three Object Activities Action

International Journal of Image, Graphics and Signal Processing


95.47% on CIFAR10 with PyTorch

mixup: Beyond Empirical Risk Minimization

A Simple Unified Framework for Detecting Out-of-Distribution Samples and Adversarial Attacks

Deep Double Descent: Where Bigger Models and More Data Hurt

Ensemble Distillation for Robust Model Fusion in Federated Learning

Learning Loss for Active Learning

Error Feedback Fixes SignSGD and other Gradient Compression Schemes

Why gradient clipping accelerates training: A theoretical justification for adaptivity

Data-Free Learning of Student Networks

CINIC-10 is not ImageNet or CIFAR-10

Forward and Backward Information Retention for Accurate Binary Neural Networks


LeGO-LOAM: Lightweight and Ground-Optimized Lidar Odometry and Mapping on Variable Terrain

BALM: Bundle Adjustment for Lidar Mapping

Robust Odometry and Mapping for Multi-LiDAR Systems with Online Extrinsic Calibration

Autonomous Exploration Development Environment and the Planning Algorithms

P3-LOAM: PPP/LiDAR Loosely Coupled SLAM with Accurate Covariance Estimation and Robust RAIM in Urban Canyon Environment

Multi-Modal Lidar Dataset for Benchmarking General-Purpose Localization and Mapping Algorithms

Robust Multi-Modal Multi-LiDAR-Inertial Odometry and Mapping for Indoor Environments


Pytorch implementation of our method for high-resolution (e.g. 2048x1024) photorealistic video-to-video translation.

Video-to-Video Synthesis

What makes a popular academic AI repository?

Zenodo (CERN European Organization for Nuclear Research)

Fast-Vid2Vid: Spatial-Temporal Compression for Video-to-Video Synthesis

ML-Bench: Evaluating Large Language Models and Agents for Machine Learning Tasks on Repository-Level Code

Validation of Simulation-Based Testing: Bypassing Domain Shift with Label-to-Image Synthesis


pkuseg多领域中文分词工具; The pkuseg toolkit for multi-domain Chinese word segmentation

A Lexicon-Based Graph Neural Network for Chinese NER

PKUSEG: A Toolkit for Multi-Domain Chinese Word Segmentation

Microsoft Research Asia's Systems for WMT19

NE–LP: Normalized entropy- and loss prediction-based sampling for active learning in Chinese word segmentation on EHRs

Combining Part-of-Speech Tags and Self-Attention Mechanism for Simile Recognition

A study of the impact of COVID-19 on the Chinese stock market based on a new textual multiple ARMA model

Kingsoft's Neural Machine Translation System for WMT19

Proceedings of the Fourth Conference on Machine Translation (Volume 2: Shared Task Papers, Day 1)

Less is Better: A cognitively inspired unsupervised model for language segmentation

Workshop on Cognitive Aspects of the Lexicon

近十年来澳门的词汇增长(Macau’s Vocabulary Growth in the Recent Ten Year)

China National Conference on Chinese Computational Linguistics

Good Neighbors Are All You Need for Chinese Grapheme-to-Phoneme Conversion


The implementation of https://papers.nips.cc/paper/7352-tadam-task-dependent-adaptive-metric-for-improved-few-shot-learning . TADAM is a ServiceNow Research project that was started at Element AI.

TADAM: Task dependent adaptive metric for improved few-shot learning

Learning from Few Samples: A Survey

Adaptive Dimension Reduction and Variational Inference for Transductive Few-Shot Classification

An Empirical Study of Batch Normalization and Group Normalization in Conditional Computation


Automatic colorization using deep neural networks. "Colorful Image Colorization." In ECCV, 2016.

Colorful Image Colorization

OpenAGI: When LLM Meets Domain Experts

Image Colorization: A Survey and Dataset

Revisiting Image Aesthetic Assessment via Self-Supervised Feature Learning

Formal-LLM: Integrating Formal Language and Natural Language for
  Controllable LLM-based Agents


BeamformIt acoustic beamforming software

Far-Field Automatic Speech Recognition

Automated evaluation of psychotherapy skills using speech and language technologies

Multi-Channel Automatic Speech Recognition Using Deep Complex Unet

Multichannel AV-wav2vec2: A Framework for Learning Multichannel Multi-Modal Speech Representation


Benchmarks for popular CNN models

SentiNet: Detecting Localized Universal Attacks Against Deep Learning Systems

Ekya: Continuous Learning of Video Analytics Models on Edge Compute Servers

Distributed Training of Deep Neural Networks: Theoretical and Practical Limits of Parallel Scalability

An Optical Frontend for a Convolutional Neural Network

Decoupled Parallel Backpropagation with Convergence Guarantee

TBD: Benchmarking and Analyzing Deep Neural Network Training

Biologically-plausible learning algorithms can scale to large datasets

Beyond saliency: Understanding convolutional neural networks from saliency prediction on layer-wise relevance propagation

FfDL : A Flexible Multi-tenant Deep Learning Platform

MIDDLEWARE'19: PROCEEDINGS OF THE 2019 MIDDLEWARE'19: 20TH INTERNATIONAL MIDDLEWARE CONFERENCE

A Revisit on Deep Hashings for Large-scale Content Based Image Retrieval


ENCODE Uniform processing pipeline for ChIP-seq

An atlas of dynamic chromatin landscapes in mouse fetal development

MAPS: Model-based analysis of long-range chromatin interactions from PLAC-seq and HiChIP experiments

Highly structured homolog pairing reflects functional organization of the Drosophila genome

The genome-wide multi-layered architecture of chromosome pairing in early Drosophila embryos

Foxc1 establishes enhancer accessibility for craniofacial cartilage differentiation

Systematic mapping of chromatin state landscapes during mouse development

Condensin II inactivation in interphase does not affect chromatin folding or gene expression

Glucocorticoid receptor collaborates with pioneer factors and AP-1 to execute genome-wide regulation

Characterizing and Targeting Genes Regulated by Transcription Factor MYBL2 in Lung Adenocarcinoma Cells


SwinIR: Image Restoration Using Swin Transformer (official repository)

DifFace: Blind Face Restoration with Diffused Error Contraction

DeSRA: Detect and Delete the Artifacts of GAN-based Real-World Super-Resolution Models

Modeling Mask Uncertainty in Hyperspectral Image Reconstruction

CMISR: Circular Medical Image Super-Resolution

AutoSR4EO: An AutoML Approach to Super-Resolution for Earth Observation Images

Whole-body PET image denoising for reduced acquisition time


Repo for LaWGPT, Chinese-Llama tuned with Chinese Legal knowledge. 基于中文法律知识的大语言模型

LawBench: Benchmarking Legal Knowledge of Large Language Models

Large Language Models in Law: A Survey

PanGu-π: Enhancing Language Model Architectures via Nonlinearity Compensation

A Survey on Large Language Models for Critical Societal Domains: Finance, Healthcare, and Law

LAiW: A Chinese Legal Large Language Models Benchmark (A Technical Report)

Reformulating Domain Adaptation of Large Language Models as Adapt-Retrieve-Revise

AviationGPT: A Large Language Model for the Aviation Domain

LawGPT: A Chinese Legal Knowledge-Enhanced Large Language Model

Role Prompting Guided Domain Adaptation with General Capability Preserve for Large Language Models

AgentsCourt: Building Judicial Decision-Making Agents with Court Debate Simulation and Legal Knowledge Augmentation


:star:Github Ranking:star: Github stars and forks ranking list. Github Top100 stars list of different languages. Automatically update daily. | Github仓库排名，每日自动更新

A Systematic Review and Replicability Study of BERT4Rec for Sequential Recommendation

DeepRelease: Language-agnostic Release Notes Generation from Pull Requests of Open-source Software

Unraveling Code Clone Dynamics in Deep Learning Frameworks

An Empirical Study on Workflows and Security Policies in Popular GitHub Repositories


IDS data for CJK Unified Ideographs

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

Benchmarking Chinese Text Recognition: Datasets, Baselines, and an Empirical Study

Subcharacter Information in Japanese Embeddings: When Is It Worth It?

RELEVANCE OF LINGUISTIC STRUCTURE IN NEURAL ARCHITECTURES FOR NLP

Sub-character Neural Language Modelling in Japanese

Cifu: a Frequency Lexicon of Hong Kong Cantonese

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

Chinese Character Decomposition for Neural MT with Multi-Word Expressions

Inference-only sub-character decomposition improves translation of unseen logographic characters

Reading Chinese in Natural Scenes with a Bag-of-Radicals Prior

CC-Riddle: A Question Answering Dataset of Chinese Character Riddles

Puzzle Pieces Picker: Deciphering Ancient Chinese Characters with Radical Reconstruction


Jiagu深度学习自然语言处理工具  知识图谱关系抽取 中文分词 词性标注 命名实体识别 情感分析 新词发现 关键词 文本摘要 文本聚类

A Cognitive Stimulation Dialogue System with Multi-source Knowledge Fusion for Elders with Cognitive Impairment

Comparing and Predicting Eye-tracking Data of Mandarin and Cantonese

Workshop on NLP for Similar Languages, Varieties and Dialects


[NeurIPS 2023] Tree of Thoughts: Deliberate Problem Solving with Large Language Models

GTBench: Uncovering the Strategic Reasoning Limitations of LLMs via
  Game-Theoretic Evaluations

Reason for Future, Act for Now: A Principled Framework for Autonomous LLM Agents with Provable Sample Efficiency

Demystifying Chains, Trees, and Graphs of Thoughts

Agent Design Pattern Catalogue: A Collection of Architectural Patterns
  for Foundation Model based Agents

Harnessing Large Language Models for Software Vulnerability Detection: A Comprehensive Benchmarking Study

MACM: Utilizing a Multi-Agent System for Condition Mining in Solving
  Complex Mathematical Problems


Multi-Omics Factor Analysis

Multi‐Omics Factor Analysis—a framework for unsupervised integration of multi‐omics data sets

State of the Field in Multi-Omics Research: From Computational Needs to Data Mining and Sharing

Machine learning for multi-omics data integration in cancer

Unsupervised Multi-Omics Data Integration Methods: A Comprehensive Review

Computational Analysis of Phosphoproteomics Data in Multi‐Omics Cancer Studies

Applications of Omics Technology for Livestock Selection and Improvement


Total Text Dataset. It consists of 1555 images with more than 3 different text orientations: Horizontal, Multi-Oriented, and Curved, one of a kind.

Mask TextSpotter: An End-to-End Trainable Neural Network for Spotting Text with Arbitrary Shapes

Total-Text: A Comprehensive Dataset for Scene Text Detection and Recognition

Empowering Things With Intelligence: A Survey of the Progress, Challenges, and Opportunities in Artificial Intelligence of Things

ICDAR2019 Robust Reading Challenge on Arbitrary-Shaped Text (RRC-ArT)

Text Recognition in the Wild: A Survey

Total-Text: toward orientation robustness in scene text detection

International Journal on Document Analysis and Recognition (IJDAR)

Scene Text Detection in Natural Images: A Review

All You Need is a Second Look: Towards Arbitrary-Shaped Text Detection

Scene Text Detection Based on Two-Branch Feature Extraction


Repository for Data Commons platform architecture overview, as well as developer and user documentation


Voice Conversion Tool Kit

The Voice Conversion Challenge 2018: Promoting Development of Parallel and Nonparallel Methods

ConvS2S-VC: Fully convolutional sequence-to-sequence voice conversion

Preech: A System for Privacy-Preserving Speech Transcription

Many-to-Many Voice Transformer Network

Nonparallel Voice Conversion With Augmented Classifier Star Generative Adversarial Networks

Voice Conversion with Conditional SampleRNN

When Automatic Voice Disguise Meets Automatic Speaker Verification

FastS2S-VC: Streaming Non-Autoregressive Sequence-to-Sequence Voice Conversion

Time Alignment using Lip Images for Frame-based Electrolaryngeal Voice Conversion


The obfourscator (Courtesy mirror)

A Survey of Key Technologies for Constructing Network Covert Channel

Systemization of Pluggable Transports for Censorship Resistance

Protocol Proxy: An FTE-based covert channel

Obfuscated Tor Traffic Identification Based on Sliding Window

PTPerf: On the performance evaluation of Tor Pluggable Transports

Amoeba: Circumventing ML-supported Network Censorship via Adversarial Reinforcement Learning

Maybenot: A Framework for Traffic Analysis Defenses

Bytes to Schlep? Use a FEP: Hiding Protocol Metadata with Fully
  Encrypted Protocols


[IEEE TMI] Official Implementation for UNet++

UNet++: A Nested U-Net Architecture for Medical Image Segmentation

UNet++: Redesigning Skip Connections to Exploit Multiscale Features in Image Segmentation

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

Microscopy cell nuclei segmentation with enhanced U-Net

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

Weakly supervised individual ganglion cell segmentation from adaptive optics OCT images for glaucomatous damage assessment

MAG-Net: Mutli-task attention guided network for brain tumor segmentation and classification.

Recurrent Feature Propagation and Edge Skip-Connections for Automatic Abdominal Organ Segmentation

Universal and Extensible Language-Vision Models for Organ Segmentation and Tumor Detection from Abdominal Computed Tomography

UDBRNet: A novel uncertainty driven boundary refined network for organ at risk segmentation


Universal Dependencies online documentation

Treebanking user-generated content: a UD based overview of guidelines, corpora and unified recommendations

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

A Structured Syntax-Semantics Interface for English-AMR Alignment

North American Chapter of the Association for Computational Linguistics

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

Overcoming the challenges in morphological annotation of Turkish in universal dependencies framework

Proceedings of The Joint 15th Linguistic Annotation Workshop (LAW) and 3rd Designing Meaning Representations (DMR) Workshop

A Universal Dependencies Treebank of Ancient Hebrew

LREC 2022: THIRTEEN INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION

Validation of Universal Dependencies by regeneration

First Steps towards Universal Dependencies for Laz

UD on Software Requirements: Application and Challenges

For the Purpose of Curry: A UD Treebank for Ashokan Prakrit


A command line tool and library for transferring data with URL syntax, supporting DICT, FILE, FTP, FTPS, GOPHER, GOPHERS, HTTP, HTTPS, IMAP, IMAPS, LDAP, LDAPS, MQTT, POP3, POP3S, RTMP, RTMPS, RTSP, SCP, SFTP, SMB, SMBS, SMTP, SMTPS, TELNET, TFTP, WS and WSS. libcurl offers a myriad of powerful features

An Empirical Study of the Cost of DNS-over-HTTPS

A Survey on DNS Encryption: Current Development, Malware Misuse, and Inference Techniques

Large Scale Measurement on the Adoption of Encrypted DNS

The Sorry State of TLS Security in Enterprise Interception Appliances

ControlFlag: A Self-Supervised Idiosyncratic Pattern Detection System for Software Control Structures

Measuring the Accessibility of Domain Name Encryption and Its Impact on Internet Filtering

SBFT Tool Competition 2023 - Fuzzing Track

A QUIC(K) Way Through Your Firewall?

Automatically Tailoring Abstract Interpretation to Custom Usage Scenarios

How Private is Android's Private DNS Setting? Identifying Apps by Encrypted DNS Traffic

Proceedings of the 16th International Conference on Availability, Reliability and Security


State-of-the-art deep learning model for analyzing sentiment, emotion, sarcasm etc.

Using millions of emoji occurrences to learn any-domain representations for detecting sentiment, emotion and sarcasm

A Survey on Text Classification: From Shallow to Deep Learning

CARER: Contextualized Affect Representations for Emotion Recognition

SEntiMoji: An Emoji-Powered Learning Approach for Sentiment Analysis in Software Engineering

TRAC-1 Shared Task on Aggression Identification: IIT(ISM)@COLING'18.

International Conference on Computational Linguistics

A Comprehensive Analysis of Preprocessing for Word Representation Learning in Affective Tasks

Meeting of the Association for Computational Linguistics

NLPRL-IITBHU at SemEval-2018 Task 3: Combining Linguistic Features and Emoji pre-trained CNN for Irony Detection in Tweets

Shaping the Narrative Arc: An Information-Theoretic Approach to Collaborative Dialogue

Irony Detection in Persian Language: A Transfer Learning Approach Using Emoji Prediction

Predicting Suicide Risk from Online Postings in Reddit The UGent-IDLab submission to the CLPysch 2019 Shared Task A


MT3: Multi-Task Multitrack Music Transcription

Multi-instrument Music Synthesis with Spectrogram Diffusion

Multitrack Music Transcription with a Time-Frequency Perceiver

Jointist: Simultaneous Improvement of Multi-instrument Transcription and Music Source Separation via Joint Training

Onsets and Velocities: Affordable Real-Time Piano Transcription Using Convolutional Neural Networks


VGGFace implementation with Keras Framework

FakeSpotter: A Simple yet Robust Baseline for Spotting AI-Synthesized Fake Faces

Face Recognition: Too Bias, or Not Too Bias?

SensitiveLoss: Improving Accuracy and Fairness of Face Representations with Discrimination-Aware Deep Learning

Amora: Black-box Adversarial Morphing Attack

Deep Learning Approach for Screening Autism Spectrum Disorder in Children with Facial Images and Analysis of Ethnoracial Factors in Model Development and Application

Does Face Recognition Accuracy Get Better With Age? Deep Face Matchers Say No

Adversarial Image Translation: Unrestricted Adversarial Examples in Face Recognition Systems

Diffusion Models, Image Super-Resolution And Everything: A Survey

Real-World Adversarial Examples involving Makeup Application

Face Super-Resolution Using Stochastic Differential Equations


A large collection of system log datasets for AI-driven log analytics [ISSRE'23]

Tools and Benchmarks for Automated Log Parsing

Loghub: A Large Collection of System Log Datasets towards Automated Log Analytics

A Survey on Automated Log Analysis for Reliability Engineering

Log-based Anomaly Detection Without Log Parsing

Log-based Anomaly Detection with Deep Learning: How Far Are We?

Proceedings of the 44th International Conference on Software Engineering

Loghub: A Large Collection of System Log Datasets for AI-driven Log Analytics

UniParser: A Unified Log Parser for Heterogeneous Log Data

Log Parsing with Prompt-based Few-shot Learning

Prompting for Automatic Log Template Extraction

Log-based software monitoring: a systematic mapping study


Transformer TTS: Implementation of a non-autoregressive Transformer based neural network for text to speech.

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

Neural Speech Synthesis with Transformer Network

FastSpeech: Fast, Robust and Controllable Text to Speech

A Survey on Neural Speech Synthesis

Foundation Models for Natural Language Processing -- Pre-trained Language Models Integrating Media

Attentive Contextual Carryover for Multi-Turn End-to-End Spoken Language Understanding

Audio Deepfake Perceptions in College Going Populations


Comprehensive list of known attack vectors and common anti-patterns

A Survey on Ethereum Systems Security: Vulnerabilities, Attacks, and Defenses

How effective are smart contract analysis tools? evaluating smart contract static analysis tools using bug injection

International Symposium on Software Testing and Analysis

Vyper: A Security Comparison with Solidity Based on Common Vulnerabilities

TokenHook: Secure ERC-20 smart contract

OpenSCV: An Open Hierarchical Taxonomy for Smart Contract Vulnerabilities

To Healthier Ethereum: A Comprehensive and Iterative Smart Contract Weakness Enumeration

Unveiling the Landscape of Smart Contract Vulnerabilities: A Detailed Examination and Codification of Vulnerabilities in Prominent Blockchains

International journal of Computer Networks & Communications


Financial Sentiment Analysis with BERT

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

FinBERT: Financial Sentiment Analysis with Pre-trained Language Models

Evaluation of Sentiment Analysis in Finance: From Lexicons to Transformers

Speech emotion recognition and text sentiment analysis for financial distress prediction

An Empirical Investigation of Bias in the Multimodal Analysis of Financial Earnings Calls

A Multi-Method Survey on the Use of Sentiment Analysis in Multivariate Financial Time Series Forecasting

Investigating Deep Stock Market Forecasting with Sentiment Analysis

Extracting fine-grained economic events from business news

FiNLP at FinCausal 2020 Task 1: Mixture of BERTs for Causal Sentence Identification in Financial Texts

Sensitivity Analysis on Transferred Neural Architectures of BERT and GPT-2 for Financial Sentiment Analysis


A PyTorch impl of EfficientDet faithful to the original Google impl w/ ported weights

EfficientDet: Scalable and Efficient Object Detection

High-Performance Large-Scale Image Recognition Without Normalization

Waste detection in Pomerania: non-profit project for detecting waste in environment.

An Efficient and Scalable Deep Learning Approach for Road Damage Detection

Conformal Prediction Sets with Limited False Positives

Tiled Squeeze-and-Excite: Channel Attention With Local Spatial Context

Standardizing and Centralizing Datasets for Efficient Training of Agricultural Deep Learning Models

Wavelet Feature Maps Compression for Image-to-Image CNNs

A two-step machine learning approach for crop disease detection: an application of GAN and UAV technology

Repaint: Improving the Generalization of Down-Stream Visual Tasks by Generating Multiple Instances of Training Examples


Python implementation of the Rapid Automatic Keyword Extraction algorithm using NLTK.

Perspective-taking and Pragmatics for Generating Empathetic Responses Focused on Emotion Causes

Revamp: Enhancing Accessible Information Seeking Experience of Online Shopping for Blind or Low Vision Users

Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems

Is artificial data useful for biomedical Natural Language Processing algorithms?

Neural Rule-Execution Tracking Machine For Transformer-Based Text Generation

ADAPT Centre Cone Team at IJCNLP-2017 Task 5: A Similarity-Based Logistic Regression Approach to Multi-choice Question Answering in an Examinations Shared Task

International Joint Conference on Natural Language Processing

Dataset Creation Framework for Personalized Type-Based Facet Ranking Tasks Evaluation


A 13B large language model developed by Baichuan Intelligent Technology

Measuring Massive Multitask Language Understanding

RoFormer: Enhanced Transformer with Rotary Position Embedding

Train Short, Test Long: Attention with Linear Biases Enables Input Length Extrapolation

WizardMath: Empowering Mathematical Reasoning for Large Language Models via Reinforced Evol-Instruct

Benchmarking Large Language Models on Controllable Generation under Diversified Instructions

FinEval: A Chinese Financial Domain Knowledge Evaluation Benchmark for Large Language Models

ShieldLM: Empowering LLMs as Aligned, Customizable and Explainable
  Safety Detectors

A Survey on Large Language Models for Critical Societal Domains: Finance, Healthcare, and Law

CLEVA: Chinese Language Models EVAluation Platform

MedBench: A Large-Scale Chinese Benchmark for Evaluating Medical Large Language Models


A curated list of data mining papers about fraud detection.

Heterogeneous Graph Neural Networks for Malicious Account Detection

Pick and Choose: A GNN-based Imbalanced Learning Approach for Fraud Detection

Financial Defaulter Detection on Online Credit Payment via Multi-view Attributed Heterogeneous Information Network

WEB CONFERENCE 2020: PROCEEDINGS OF THE WORLD WIDE WEB CONFERENCE (WWW 2020)

Intention-aware Heterogeneous Graph Attention Networks for Fraud Transactions Detection

Modeling Users’ Behavior Sequences with Hierarchical Explainable Network for Cross-domain Fraud Detection

Fraud Transactions Detection via Behavior Tree with Local Intention Calibration

ASA: Adversary Situation Awareness via Heterogeneous Graph Convolutional Networks

WWW'20: COMPANION PROCEEDINGS OF THE WEB CONFERENCE 2020

Live-Streaming Fraud Detection: A Heterogeneous Graph Neural Network Approach

BotSpot: A Hybrid Learning Framework to Uncover Bot Install Fraud in Mobile Advertising

International Conference on Information and Knowledge Management

Graphical Models for Identifying Fraud and Waste in Healthcare Claims

SIAM International Conference on Data Mining


PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume, CVPR 2018 (Oral)

Models Matter, So Does Training: An Empirical Study of CNNs for Optical Flow Estimation

Ego-Pose Estimation and Forecasting as Real-Time PD Control

A Fusion Approach for Multi-Frame Optical Flow Estimation

360° Optical Flow using Tangent Images

Scene Motion Decomposition for Learnable Visual Odometry

Training Deep SLAM on Single Frames

Unified Simulation, Perception, and Generation of Human Behavior


Most popular metrics used to evaluate object detection algorithms.

A Survey on Performance Metrics for Object-Detection Algorithms

PROCEEDINGS OF THE 2020 INTERNATIONAL CONFERENCE ON SYSTEMS, SIGNALS AND IMAGE PROCESSING (IWSSIP), 27TH EDITION

A Comparative Analysis of Object Detection Metrics with a Companion Open-Source Toolkit

Fast Personal Protective Equipment Detection for Real Construction Sites Using Deep Learning Approaches

NDFTC: A New Detection Framework of Tropical Cyclones from Meteorological Satellite Images with Deep Transfer Learning

Flipping food during grilling tasks, a dataset of utensils kinematics and dynamics, food pose and subject gaze

Surround-View Cameras based Holistic Visual Perception for Automated Driving


A Library for Field-aware Factorization Machines

Deep Session Interest Network for Click-Through Rate Prediction

Product-Based Neural Networks for User Response Prediction over Multi-Field Categorical Data

Field-aware Factorization Machines in a Real-world Online Advertising System

Network On Network for Tabular Data Classification in Real-world Applications

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

AEFE: Automatic Embedded Feature Engineering for Categorical Features

Embedding in Recommender Systems: A Survey


:scissors: :zap: Rapid haploid variant calling and core genome alignment

Multidrug-Resistant Enterobacter cloacae Complex Emerging as a Global, Diversifying Threat

Hybrid assembly of an agricultural slurry virome reveals a diverse and stable community with the potential to alter the metabolism and virulence of veterinary pathogens

Prospective Whole-Genome Sequencing Enhances National Surveillance of Listeria monocytogenes

Genomic Analysis of Hospital Plumbing Reveals Diverse Reservoir of Bacterial Plasmids Conferring Carbapenem Resistance

Unexpected high prevalence of resistance-associated Rv0678 variants in MDR-TB patients without documented prior use of clofazimine or bedaquiline

The Journal of antimicrobial chemotherapy

Discovery of MRSA active antibiotics using primary sequence from the human microbiome

Mutation rate of SARS-CoV-2 and emergence of mutators during experimental evolution

Global expansion of Mycobacterium tuberculosis lineage 4 shaped by colonial migration and local adaptation

Evolution and Global Transmission of a Multidrug-Resistant, Community-Associated Methicillin-Resistant Staphylococcus aureus Lineage from the Indian Subcontinent

Multiple approaches for massively parallel sequencing of SARS-CoV-2 genomes directly from clinical samples


A latent text-to-image diffusion model

High-Resolution Image Synthesis with Latent Diffusion Models

LAION-5B: An open large-scale dataset for training next generation image-text models

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

On Distillation of Guided Diffusion Models

Zero-shot Image-to-Image Translation

Diffusion Art or Digital Forgery? Investigating Data Replication in Diffusion Models

All are Worth Words: A ViT Backbone for Diffusion Models

Easily Accessible Text-to-Image Generation Amplifies Demographic Stereotypes at Large Scale

StyleGAN-T: Unlocking the Power of GANs for Fast Large-Scale Text-to-Image Synthesis

SmartBrush: Text and Shape Guided Object Inpainting with Diffusion Model


Models of SEIRS epidemic dynamics with extensions, including network-structured populations, testing, contact tracing, and social distancing.

Universal Masking is Urgent in the COVID-19 Pandemic: SEIR and Agent Based Models, Empirical Validation, Policy Recommendations

Adaptive cyclic exit strategies from lockdown to suppress COVID-19 and allow economic activity

A social network model of COVID-19

Structural Identifiability and Observability of Compartmental Models of the COVID-19 Pandemic

Analysis of mobility data to build contact networks for COVID-19

A Two-Phase Stochastic Dynamic Model for COVID-19 Mid-Term Policy Recommendations in Greece: A Pathway towards Mass Vaccination

Assessing the interplay between travel patterns and SARS-CoV-2 outbreak in realistic urban setting

Optimizing testing policies for detecting COVID-19 outbreaks

Fizzle Testing: An Equation Utilizing Random Surveillance to Help Reduce COVID-19 Risks

Mathematical and Computational Applications

Estimating Brazilian states’ demands for intensive care unit and clinical hospital beds during the COVID-19 pandemic: development of a predictive model

Sao Paulo medical journal = Revista paulista de medicina


Square’s meticulous HTTP client for the JVM, Android, and GraalVM.

What Makes a Good Commit Message?

Refactoring Graphs: Assessing Refactoring over Time

Security Header Fields in HTTP Clients

A Novel Refactoring and Semantic Aware Abstract Syntax Tree Differencing
  Tool and a Benchmark for Evaluating the Accuracy of Diff Tools

Verifying Semantic Conflict-Freedom in Three-Way Program Merges

Device-centric Federated Analytics At Ease

Relationships between design problem agglomerations and concerns having types and domains of software as transverse dimensions

Journal of the Brazilian Computer Society


Some C++ example code to demonstrate how to perform code similarity searches using SimHashing.

Deep graph similarity learning: a survey

HEBCS: A High-Efficiency Binary Code Search Method


Caffe implementation of Google MobileNet SSD detection network, with pretrained weights on VOC0712 and mAP=0.727.

Optimizing the Trade-off between Single-Stage and Two-Stage Object Detectors using Image Difficulty Prediction

Tiny-DSOD: Lightweight Object Detection for Resource-Restricted Usages

UAV Framework for Autonomous Onboard Navigation and People/Object Detection in Cluttered Indoor Environments

The Art and Practice of Data Science Pipelines: A Comprehensive Study of
  Data Science Pipelines In Theory, In-The-Small, and In-The-Large

Cluster Pruning: An Efficient Filter Pruning Method for Edge AI Vision Applications

IEEE Journal on Selected Topics in Signal Processing

Con-Pi: A Distributed Container-Based Edge and Fog Computing Framework

Drone-Based Autonomous Motion Planning System for Outdoor Environments under Object Detection Uncertainty

A Care Robot with Ethical Sensing System for Older Adults at Home

Reducing Object Detection Uncertainty from RGB and Thermal Data for UAV Outdoor Surveillance

A Room Monitoring System Using Deep Learning and Perspective Correction Techniques


A library for Multilingual Unsupervised or Supervised word Embeddings

Exploiting Similarities among Languages for Machine Translation

Word Translation Without Parallel Data

Unsupervised Machine Translation Using Monolingual Corpora Only

A Survey of Cross-lingual Word Embedding Models

Offline bilingual word vectors, orthogonal transformations and the inverted softmax

Improving zero-shot learning by mitigating the hubness problem

Unsupervised Alignment of Embeddings with Wasserstein Procrustes

Contrastive Learning for Many-to-many Multilingual Neural Machine Translation

Deep Learning Models for Multilingual Hate Speech Detection

GLUECoS : An Evaluation Benchmark for Code-Switched NLP