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Poster
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Tue 21:00
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A Unified Generative Adversarial Network Training via Self-Labeling and Self-Attention
Tomoki Watanabe · Paolo Favaro
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Poster
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Wed 21:00
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Model Performance Scaling with Multiple Data Sources
Tatsunori Hashimoto
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Spotlight
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Tue 17:40
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Heterogeneity for the Win: One-Shot Federated Clustering
Don Kurian Dennis · Tian Li · Virginia Smith
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Spotlight
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Tue 19:30
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Training Graph Neural Networks with 1000 Layers
Guohao Li · Matthias Müller · Bernard Ghanem · Vladlen Koltun
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Spotlight
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Tue 19:45
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Ditto: Fair and Robust Federated Learning Through Personalization
Tian Li · Shengyuan Hu · Ahmad Beirami · Virginia Smith
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Spotlight
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Tue 18:40
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Parallel and Flexible Sampling from Autoregressive Models via Langevin Dynamics
Vivek Jayaram · John Thickstun
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Poster
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Thu 9:00
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Efficient Training of Robust Decision Trees Against Adversarial Examples
Daniël Vos · Sicco Verwer
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Poster
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Tue 21:00
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Heterogeneity for the Win: One-Shot Federated Clustering
Don Kurian Dennis · Tian Li · Virginia Smith
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Oral
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Tue 19:00
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ActNN: Reducing Training Memory Footprint via 2-Bit Activation Compressed Training
Jianfei Chen · Lianmin Zheng · Zhewei Yao · Dequan Wang · Ion Stoica · Michael Mahoney · Joseph E Gonzalez
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Poster
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Tue 21:00
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ActNN: Reducing Training Memory Footprint via 2-Bit Activation Compressed Training
Jianfei Chen · Lianmin Zheng · Zhewei Yao · Dequan Wang · Ion Stoica · Michael Mahoney · Joseph E Gonzalez
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Workshop
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Attention-Guided Black-box Adversarial Attacks with Large-Scale Multiobjective Evolutionary Optimization
Jie Wang · Zhaoxia Yin · Jing Jiang · Yang Du
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Workshop
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Sat 9:30
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Invited Speaker: Christian Kroer: Recent Advances in Iterative Methods for Large-Scale Game Solving
Christian Kroer
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