UniTime: A Language-Empowered Unified Model for Cross-Domain Time Series Forecasting (WWW 2024)

When Do Contrastive Learning Signals Help Spatio-Temporal Graph Forecasting? (SIGSPATIAL 2022)

Transfer Learning Library for Domain Adaptation, Task Adaptation, and Domain Generalization

A smaller subset of 10 easily classified classes from Imagenet, and a little more French

Implementation of the paper Self-Supervised Learning of Pretext-Invariant Representations

Official implementation of "Recovering the Unbiased Scene Graphs from the Biased Ones" (ACMMM 2021)

Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.

Semi-supervised Domain Adaptation via Minimax Entropy

A curated list of resources for Learning with Noisy Labels

PyTorch implementation of "Supervised Contrastive Learning" (and SimCLR incidentally)

Pytorch implementation of our paper accepted by TPAMI 2023 — Lottery Jackpots Exist in Pre-trained Models

Some of my courses fragmentary cheat sheets in LaTex.

Accuracy 77%. Large batch deep learning optimizer LARS for ImageNet with PyTorch and ResNet, using Horovod for distribution. Optional accumulated gradient and NVIDIA DALI dataloader.

Source code for ACL2019 paper "Multi-Channel Graph Neural Network for Entity Alignment".

😎 An up-to-date & curated list of awesome semi-supervised learning papers, methods & resources.

A curated list of awesome adversarial machine learning resources

Learning from Synthetic Data: Addressing Domain Shift for Semantic Segmentation

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

PyTorch implementation for OD-cheap-convolution.

Must-read papers on graph neural networks (GNN)

A (PyTorch) imbalanced dataset sampler for oversampling low frequent classes and undersampling high frequent ones.

[ECCV2020] Knowledge Distillation Meets Self-Supervision

Position-aware Graph Neural Networks

Deep Learning Book Chinese Translation

Efficient computing methods developed by Huawei Noah's Ark Lab

A technical report on convolution arithmetic in the context of deep learning

Global Reasoning module for visual recognition

PyTorch implementation for Convolutional Networks with Adaptive Inference Graphs