|
Workshop
|
Fri 6:30
|
Table Representation Learning
Madelon Hulsebos · Bojan Karlaš · Pengcheng Yin · haoyu dong
|
|
|
Poster
|
Wed 14:00
|
Self-Supervised Fair Representation Learning without Demographics
Junyi Chai · Xiaoqian Wang
|
|
|
Workshop
|
|
Visual Reinforcement Learning with Self-Supervised 3D Representations
Yanjie Ze · Nicklas Hansen · Yinbo Chen · Mohit Jain · Xiaolong Wang
|
|
|
Poster
|
Tue 14:00
|
Geo-SIC: Learning Deformable Geometric Shapes in Deep Image Classifiers
Jian Wang · Miaomiao Zhang
|
|
|
Workshop
|
Fri 8:50
|
Representation Learning and Causality
Jovana Mitrovic
|
|
|
Poster
|
Thu 9:00
|
Representing Spatial Trajectories as Distributions
Didac Suris Coll-Vinent · Carl Vondrick
|
|
|
Workshop
|
Fri 12:30
|
Byung-Hak - "RegCLR: A Self-Supervised Framework for Tabular Representation Learning in the Wild"
|
|
|
Workshop
|
Sat 12:30
|
Neural Ideograms and Equivariant Representation Learning
Erik Bekkers
|
|
|
Affinity Workshop
|
|
Protein Structure Ranking with Atom-level Geometric Representation Learning
Tian Xia · Sarp Aykent
|
|
|
Poster
|
|
Conditional Meta-Learning of Linear Representations
Giulia Denevi · Massimiliano Pontil · Carlo Ciliberto
|
|
|
Poster
|
Tue 9:00
|
Distilling Representations from GAN Generator via Squeeze and Span
Yu Yang · Xiaotian Cheng · Chang Liu · Hakan Bilen · Xiangyang Ji
|
|
|
Workshop
|
|
Learning Dynamic Graph Embeddings Using Random Walk With Temporal Backtracking
Chenghan Huang · Lili Wang · Xinyuan Cao · Weicheng Ma · Soroush Vosoughi
|
|
