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Poster
Wed 21:00 A large-scale benchmark for few-shot program induction and synthesis
Ferran Alet · Javier Lopez-Contreras · James Koppel · Maxwell Nye · Armando Solar-Lezama · Tomas Lozano-Perez · Leslie Kaelbling · Josh Tenenbaum
Spotlight
Wed 5:25 Disentangling Sampling and Labeling Bias for Learning in Large-output Spaces
Ankit Singh Rawat · Aditya Menon · Wittawat Jitkrittum · Sadeep Jayasumana · Felix Xinnan Yu · Sashank Jakkam Reddi · Sanjiv Kumar
Poster
Wed 9:00 Disentangling Sampling and Labeling Bias for Learning in Large-output Spaces
Ankit Singh Rawat · Aditya Menon · Wittawat Jitkrittum · Sadeep Jayasumana · Felix Xinnan Yu · Sashank Jakkam Reddi · Sanjiv Kumar
Workshop
On Large-Cohort Training for Federated Learning
Workshop
Fri 9:53 Automated Learning Rate Scheduler for Large-batch Training
Chiheon Kim
Spotlight
Tue 19:35 1-bit Adam: Communication Efficient Large-Scale Training with Adam's Convergence Speed
Hanlin Tang · Shaoduo Gan · Ammar Ahmad Awan · Samyam Rajbhandari · Conglong Li · Xiangru Lian · Ji Liu · Ce Zhang · Yuxiong He
Poster
Tue 21:00 1-bit Adam: Communication Efficient Large-Scale Training with Adam's Convergence Speed
Hanlin Tang · Shaoduo Gan · Ammar Ahmad Awan · Samyam Rajbhandari · Conglong Li · Xiangru Lian · Ji Liu · Ce Zhang · Yuxiong He
Spotlight
Wed 18:40 Model Performance Scaling with Multiple Data Sources
Tatsunori Hashimoto
Spotlight
Tue 18:25 A Unified Generative Adversarial Network Training via Self-Labeling and Self-Attention
Tomoki Watanabe · Paolo Favaro
Spotlight
Tue 17:25 Quantization Algorithms for Random Fourier Features
Xiaoyun Li · Ping Li
Poster
Tue 21:00 Quantization Algorithms for Random Fourier Features
Xiaoyun Li · Ping Li
Spotlight
Thu 6:40 Efficient Training of Robust Decision Trees Against Adversarial Examples
Daniël Vos · Sicco Verwer