This repository is no longer maintained.

For deep RL and the future of AI.

pip install antialiased-cnns to improve stability and accuracy

[ICML 2021, Long Talk] Delving into Deep Imbalanced Regression

深度学习近年来关于神经网络模型解释性的相关高引用/顶会论文(附带代码)

FedScale is a scalable and extensible open-source federated learning (FL) platform.

This repository contains all the papers accepted in top conference of computer vision, with convenience to search related papers.

Official Pytorch Implementation for "MultiDiffusion: Fusing Diffusion Paths for Controlled Image Generation" presenting "MultiDiffusion" (ICML 2023)

Sparse Variational Dropout, ICML 2017

视觉实验室新手任务

📚 List of Top-tier Conference Papers on Reinforcement Learning (RL)，including: NeurIPS, ICML, AAAI, IJCAI, AAMAS, ICLR, ICRA, etc.

Download papers and supplemental materials from open-access paper website, such as AAAI, AISTATS, COLT, CORL, CVPR, ECCV, ICCV, ICLR, ICML, IJCAI, JMLR, NIPS, RSS, WACV.

Official Pytorch implementation of ReBias (Learning De-biased Representations with Biased Representations), ICML 2020

[ICML2020] Normalized Loss Functions for Deep Learning with Noisy Labels

This is our implementation of ENMF: Efficient Neural Matrix Factorization (TOIS. 38, 2020). This also provides a fair evaluation of existing state-of-the-art recommendation models.

Code base for the precision, recall, density, and coverage metrics for generative models. ICML 2020.

Implementation of ICML'2021:Neural-Pull: Learning Signed Distance Functions from Point Clouds by Learning to Pull Space onto Surfaces

An official TensorFlow implementation of "Neural Program Synthesis from Diverse Demonstration Videos" (ICML 2018) by Shao-Hua Sun, Hyeonwoo Noh, Sriram Somasundaram, and Joseph J. Lim

ICML 2019: Understanding and Utilizing Deep Neural Networks Trained with Noisy Labels