Collecting papers about Self-Supervised Learning, Representation Learning. 子主题 [List] Awesome Graph Self-Supervised Learning A curated list for awesome self-supervised graph representation learning resources. [List] Awesome Self-supervised GNN Papers about self-supervised learning on Graph Neural Networks...
Graph Self-supervised Learning [arXiv 2022] GraphTTA: Test Time Adaptation on Graph Neural Networks [paper] [WWW 2022] Confidence May Cheat: Self-Training on Graph Neural Networks under Distribution Shift [paper] [arXiv 2021] Graph Self-Supervised Learning: A Survey [paper] [ICML 2021] From...
Self-Supervised Learning has become an exciting direction in AI community.Jitendra Malik: "Supervision is the opium of the AI researcher" Alyosha Efros: "The AI revolution will not be supervised" Yann LeCun: "self-supervised learning is the cake, supervised learning is the icing on the cake,...
Cross-domain Self-supervised Multi-task Feature Learning Using Synthetic Imagery. [pdf] [code] Zhongzheng Ren and Yong Jae Lee. CVPR 2018 ShapeCodes: Self-Supervised Feature Learning by Lifting Views to Viewgrids. [pdf] Dinesh Jayaraman*, UC Berkeley; Ruohan Gao, University of Texas at Austin...
Self-Supervised Learning has become an exciting direction in AI community.Jitendra Malik: "Supervision is the opium of the AI researcher" Alyosha Efros: "The AI revolution will not be supervised" Yann LeCun: "self-supervised learning is the cake, supervised learning is the icing on the cake,...
Self-Supervised Learning has become an exciting direction in Computer Vision, Machine Learning, and Robotics community. These are some of the awesome resources! Contributing Please help contribute this list by contacting me or add pull request ...
Hierarchical graph representation learning with differentiable pooling. Rex Ying, Jiaxuan You, Christopher Morris, Xiang Ren, William L. Hamilton, Jure Leskovec. NeurIPS 2018. paper code Self-Attention Graph Pooling. Junhyun Lee, Inyeop Lee, Jaewoo Kang. ICML 2019. paper code Graph Classfication ...
- PreTraM: Self-Supervised Pre-training via Connecting Trajectory and Map. [arXiv][Code] Skeleton-Parted Graph Scattering Networks for 3D Human Motion Prediction. [arXiv][Code] Social-Implicit: Rethinking Trajectory Prediction Evaluation and The Effectiveness of Implicit Maximum Likelihood Estimatio. ...
Iasonas Kokkinos, "Pusing the Boundaries of Boundary Detection Using deep Learning", ICLR 2016, [Paper] UCSB Niloufar Pourian, S. Karthikeyan, and B.S. Manjunath, "Weakly supervised graph based semantic segmentation by learning communities of image-parts", ICCV, 2015, [Paper] ...
Machine Learning Misc Programming Languages / Compilers Security Systems Legend - Lecture Videos - Lecture Notes - Assignments / Labs - Readings Courses Systems CS 61CGreat Ideas in Computer Architecture (Machine Structures)UC Berkeley This class introduces the basic facilities provided in modern operatin...