Pinned Repositories
ttab
[ICML23] On Pitfalls of Test-Time Adaptation
causalmotion
[CVPR22] Towards Robust and Adaptive Motion Forecasting: A Causal Representation Perspective
CrowdNav
[ICRA19] Crowd-aware Robot Navigation with Attention-based Deep Reinforcement Learning
social-nce
[ICCV21] Official implementation of the "Social NCE: Contrastive Learning of Socially-aware Motion Representations" in PyTorch.
ttt-plus-plus
[NeurIPS21] TTT++: When Does Self-supervised Test-time Training Fail or Thrive?
awesome-source-free-test-time-adaptation
A curated list of papers in Test-time Adaptation, Test-time Training and Source-free Domain Adaptation
bid_diffusion
csl
[Preprint] Co-Supervised Learning: Improving Weak-to-Strong Generalization with Hierarchical Mixture of Experts
Optimal_Power_Flow
OPF Master Thesis
social-nce-trajectron-plus-plus
[ICCV'21] PyTorch implementation of the Social-NCE applied to Trajectron++.
YuejiangLIU's Repositories
YuejiangLIU/awesome-source-free-test-time-adaptation
A curated list of papers in Test-time Adaptation, Test-time Training and Source-free Domain Adaptation
YuejiangLIU/social-nce-trajectron-plus-plus
[ICCV'21] PyTorch implementation of the Social-NCE applied to Trajectron++.
YuejiangLIU/bid_diffusion
YuejiangLIU/Optimal_Power_Flow
OPF Master Thesis
YuejiangLIU/csl
[Preprint] Co-Supervised Learning: Improving Weak-to-Strong Generalization with Hierarchical Mixture of Experts
YuejiangLIU/prioritized_option_critic
Implementation of the Prioritized Option-Critic on the Four-Rooms Environment
YuejiangLIU/MPC
Model Predictive Control, EPFL Exercise
YuejiangLIU/pytorch-collaborative-gan-sampling
A basic PyTorch implementation of the Collaborative Sampling in Generative Adversarial Networks
YuejiangLIU/semi-simclr
Semi-supervised SimCLR for TTT++
YuejiangLIU/ICCV2021-Paper-Code-Interpretation
ICCV2021/2019/2017 论文/代码/解读/直播合集，极市团队整理
YuejiangLIU/AI_for_Robotics
Programming A Robotic Car Exercise
YuejiangLIU/awesome-contrastive-self-supervised-learning
A comprehensive list of awesome contrastive self-supervised learning papers.
YuejiangLIU/Awesome-Interaction-aware-Trajectory-Prediction
A selection of state-of-the-art research materials on trajectory prediction
YuejiangLIU/causaltriplet-1
YuejiangLIU/droid_policy_learning
DROID
YuejiangLIU/ICCV2021-Papers-with-Code-Demo
ICCV 2021 paper with code
YuejiangLIU/MachineLearning
Coursera Exercise
YuejiangLIU/PyContrast
PyTorch implementation of Contrastive Learning methods; List of awesome-contrastive-learning papers
YuejiangLIU/releasing-research-code
Tips for releasing research code in Machine Learning (with official NeurIPS 2020 recommendations)
YuejiangLIU/RL_Exericse
YuejiangLIU/Spatial_Statistics_And_Analysis
Spatial Statistics & Analysis Exercise
YuejiangLIU/ttab
Code for ICML‘2023 paper — On Pitfalls of Test-Time Adaptation
YuejiangLIU/VidSitu
[CVPR21] Visual Semantic Role Labeling for Video Understanding (https://arxiv.org/abs/2104.00990)
YuejiangLIU/weak-to-strong