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Poster
Tue 7:00 Contrastive Multi-View Representation Learning on Graphs
Kaveh Hassani · Amir Hosein Khasahmadi
Poster
Tue 7:00 Learning with Multiple Complementary Labels
LEI FENG · Takuo Kaneko · Bo Han · Gang Niu · Bo An · Masashi Sugiyama
Poster
Tue 7:00 Faster Graph Embeddings via Coarsening
Matthew Fahrbach · Gramoz Goranci · Richard Peng · Sushant Sachdeva · Chi Wang
Poster
Tue 7:00 Generative Flows with Matrix Exponential
Changyi Xiao · Ligang Liu
Poster
Tue 7:00 Amortized Population Gibbs Samplers with Neural Sufficient Statistics
Hao Wu · Heiko Zimmermann · Eli Sennesh · Tuan Anh Le · Jan-Willem van de Meent
Poster
Tue 7:00 Training Binary Neural Networks through Learning with Noisy Supervision
Kai Han · Yunhe Wang · Yixing Xu · Chunjing Xu · Enhua Wu · Chang Xu
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 On Variational Learning of Controllable Representations for Text without Supervision
Peng Xu · Jackie Chi Kit Cheung · Yanshuai Cao
Poster
Tue 7:00 Layered Sampling for Robust Optimization Problems
Hu Ding · Zixiu Wang
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 Expert Learning through Generalized Inverse Multiobjective Optimization: Models, Insights, and Algorithms
Chaosheng Dong · Bo Zeng
Poster
Tue 7:00 Individual Fairness for k-Clustering
Sepideh Mahabadi · Ali Vakilian