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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 |
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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 |
Safe Deep Semi-Supervised Learning for Unseen-Class Unlabeled Data Lan-Zhe Guo · Zhen-Yu Zhang · Yuan Jiang · Yufeng Li · Zhi-Hua Zhou |
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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 |
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 |
Faster Graph Embeddings via Coarsening Matthew Fahrbach · Gramoz Goranci · Richard Peng · Sushant Sachdeva · Chi Wang |
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Poster
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Tue 7:00 |
Expert Learning through Generalized Inverse Multiobjective Optimization: Models, Insights, and Algorithms Chaosheng Dong · Bo Zeng |
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Poster
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Tue 7:00 |
Individual Fairness for k-Clustering Sepideh Mahabadi · Ali Vakilian |
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Poster
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Tue 7:00 |
Learning with Multiple Complementary Labels LEI FENG · Takuo Kaneko · Bo Han · Gang Niu · Bo An · Masashi Sugiyama |
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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 |
Searching to Exploit Memorization Effect in Learning with Noisy Labels QUANMING YAO · Hansi Yang · Bo Han · Gang Niu · James Kwok |
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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 |