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Poster
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Tue 7:00 |
LTF: A Label Transformation Framework for Correcting Label Shift Jiaxian Guo · Mingming Gong · Tongliang Liu · Kun Zhang · Dacheng Tao |
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Poster
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Tue 7:00 |
Contrastive Multi-View Representation Learning on Graphs Kaveh Hassani · Amir Hosein Khasahmadi |
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Poster
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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 |
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Poster
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Tue 7:00 |
Learning the Stein Discrepancy for Training and Evaluating Energy-Based Models without Sampling Will Grathwohl · Kuan-Chieh Wang · Joern-Henrik Jacobsen · David Duvenaud · Richard Zemel |
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Poster
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Tue 7:00 |
Generative Flows with Matrix Exponential Changyi Xiao · Ligang Liu |
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Poster
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Tue 7:00 |
Training Binary Neural Networks through Learning with Noisy Supervision Kai Han · Yunhe Wang · Yixing Xu · Chunjing Xu · Enhua Wu · Chang Xu |
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Poster
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Tue 7:00 |
Improving Generative Imagination in Object-Centric World Models Zhixuan Lin · Yi-Fu Wu · Skand Peri · Bofeng Fu · Jindong Jiang · Sungjin Ahn |
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Poster
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Tue 7:00 |
On Variational Learning of Controllable Representations for Text without Supervision Peng Xu · Jackie Chi Kit Cheung · Yanshuai Cao |
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Poster
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Tue 7:00 |
A Simple Framework for Contrastive Learning of Visual Representations Ting Chen · Simon Kornblith · Mohammad Norouzi · Geoffrey Hinton |
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Poster
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Tue 7:00 |
Fast Learning of Graph Neural Networks with Guaranteed Generalizability: One-hidden-layer Case shuai zhang · Meng Wang · Sijia Liu · Pin-Yu Chen · Jinjun Xiong |
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Poster
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Tue 7:00 |
Layered Sampling for Robust Optimization Problems Hu Ding · Zixiu Wang |
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Poster
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Tue 7:00 |
Laplacian Regularized Few-Shot Learning Imtiaz Ziko · Jose Dolz · Eric Granger · Ismail Ben Ayed |