A Japanese (Riichi) Mahjong AI Framework

[AAAI 2023] Official PyTorch Code for "Curriculum Temperature for Knowledge Distillation"

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

Implement many Sparse Reward algorithms in Gym Fetch environment

Curriculum Learning - Tensorflow

Code for Automatic Curriculum Learning through Value Disagreement

[NeurIPS 2020 Spotlight Oral] "Training Stronger Baselines for Learning to Optimize", Tianlong Chen*, Weiyi Zhang*, Jingyang Zhou, Shiyu Chang, Sijia Liu, Lisa Amini, Zhangyang Wang

WSISR: Single image super-resolution for Whole slide Imaging using convolutional neural networks and self-supervised color normalization.

Implementation of "Distributed Deep Joint Source-Channel Coding over a Multiple Access Channel" paper (ICC 2023)

Code for the paper "Curriculum Dropout", ICCV 2017

stable-baselines3 reinforcement learning on SUMO traffic light system

[CVPR 2023] Official Implementation of "C-SFDA: A Curriculum Learning Aided Self-Training Framework for Efficient Source Free Domain Adaptation""

Hadwritten Text Recognition in Few-shot Scenario

PyTorch code for BMVC 2018 paper: "Self-Paced Learning with Adaptive Visual Embeddings"

The codebase for "Learning from Easy to Complex: Adaptive Multi-curricula Learning for Neural Dialogue Generation" (Cai et al., AAAI 2020)

[NeurIPS 2022, Neuron 2024] Winning code for the Baoding ball MyoChallenge at NeurIPS 2022

An efficient curriculum learning-based strategy for molecular graph learning

reimplementing Neural Summarization by Extracting Sentences and Words

Official code for "Improving Self-supervised Learning with Hardness-aware Dynamic Curriculum Learning: An Application to Digital Pathology", ICCV, 2021, CDpath Workshop (Oral).

Distilling Knowledge via Intermediate Classifiers