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Poster
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Thu 9:00
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Adversarially-learned Inference via an Ensemble of Discrete Undirected Graphical Models
Adarsh Keshav Jeewajee · Leslie Kaelbling
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Poster
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Mon 21:00
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Minimax Value Interval for Off-Policy Evaluation and Policy Optimization
Nan Jiang · Jiawei Huang
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Poster
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Thu 21:00
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Model Inversion Networks for Model-Based Optimization
Aviral Kumar · Sergey Levine
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Poster
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Thu 9:00
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Graph Stochastic Neural Networks for Semi-supervised Learning
Haibo Wang · Chuan Zhou · Xin Chen · Jia Wu · Shirui Pan · Jilong Wang
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Poster
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Thu 9:00
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Kernelized information bottleneck leads to biologically plausible 3-factor Hebbian learning in deep networks
Roman Pogodin · Peter E Latham
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Poster
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Wed 21:00
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Semi-Supervised Partial Label Learning via Confidence-Rated Margin Maximization
Wei Wang · Min-Ling Zhang
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Poster
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Thu 9:00
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Distribution Aligning Refinery of Pseudo-label for Imbalanced Semi-supervised Learning
Jaehyung Kim · Youngbum Hur · Sejun Park · Eunho Yang · Sung Ju Hwang · Jinwoo Shin
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Poster
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Thu 21:00
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Self-Adaptive Training: beyond Empirical Risk Minimization
Lang Huang · Chao Zhang · Hongyang Zhang
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Oral
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Thu 6:30
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Graph Random Neural Networks for Semi-Supervised Learning on Graphs
Wenzheng Feng · Jie Zhang · Yuxiao Dong · Yu Han · Huanbo Luan · Qian Xu · Qiang Yang · Evgeny Kharlamov · Jie Tang
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Poster
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Wed 9:00
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Quantifying Learnability and Describability of Visual Concepts Emerging in Representation Learning
Iro Laina · Ruth Fong · Andrea Vedaldi
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Spotlight
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Tue 7:00
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Multi-Robot Collision Avoidance under Uncertainty with Probabilistic Safety Barrier Certificates
Wenhao Luo · Wen Sun · Ashish Kapoor
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Poster
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Thu 9:00
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Graph Random Neural Networks for Semi-Supervised Learning on Graphs
Wenzheng Feng · Jie Zhang · Yuxiao Dong · Yu Han · Huanbo Luan · Qian Xu · Qiang Yang · Evgeny Kharlamov · Jie Tang
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