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Tutorial
Mon 1:00 Representation Learning Without Labels
S. M. Ali Eslami · Irina Higgins · Danilo J. Rezende
Affinity Workshop
Mon 8:10 Google: Machine Learning for Smell: Learning Generalizable Perceptual Representations of Small Molecules
Jennifer Wei
Poster
Tue 7:00 Distance Metric Learning with Joint Representation Diversification
Xu Chu · Yang Lin · Yasha Wang · Xiting Wang · Hailong Yu · Xin Gao · Qi Tong
Poster
Tue 7:00 Differentiating through the Fr├ęchet Mean
Aaron Lou · Isay Katsman · Qingxuan Jiang · Serge Belongie · Ser Nam Lim · Christopher De Sa
Poster
Tue 7:00 A Free-Energy Principle for Representation Learning
Yansong Gao · Pratik Chaudhari
Poster
Tue 7:00 Semiparametric Nonlinear Bipartite Graph Representation Learning with Provable Guarantees
Sen Na · Yuwei Luo · Zhuoran Yang · Zhaoran Wang · Mladen Kolar
Poster
Tue 7:00 A Simple Framework for Contrastive Learning of Visual Representations
Ting Chen · Simon Kornblith · Mohammad Norouzi · Geoffrey Hinton
Poster
Tue 7:00 Improving Generative Imagination in Object-Centric World Models
Zhixuan Lin · Yi-Fu Wu · Skand Peri · Bofeng Fu · Jindong Jiang · Sungjin Ahn
Poster
Tue 7:00 LEEP: A New Measure to Evaluate Transferability of Learned Representations
Cuong Nguyen · Tal Hassner · Matthias W Seeger · Cedric Archambeau
Poster
Tue 7:00 Nested Subspace Arrangement for Representation of Relational Data
Nozomi Hata · Shizuo Kaji · Akihiro Yoshida · Katsuki Fujisawa
Poster
Tue 7:00 On Variational Learning of Controllable Representations for Text without Supervision
Peng Xu · Jackie Chi Kit Cheung · Yanshuai Cao
Poster
Tue 7:00 Simple and Deep Graph Convolutional Networks
Ming Chen · Zhewei Wei · Zengfeng Huang · Bolin Ding · Yaliang Li