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Poster
Tue 9:00 MC-LSTM: Mass-Conserving LSTM
Pieter-Jan Hoedt · Frederik Kratzert · Daniel Klotz · Christina Halmich · Markus Holzleitner · Grey Nearing · Sepp Hochreiter · Günter Klambauer
Oral
Tue 17:00 Randomized Entity-wise Factorization for Multi-Agent Reinforcement Learning
Shariq Iqbal · Christian Schroeder · Bei Peng · Wendelin Boehmer · Shimon Whiteson · Fei Sha
Oral
Tue 17:00 A Tale of Two Efficient and Informative Negative Sampling Distributions
Shabnam Daghaghi · Tharun Medini · Nicholas Meisburger · Beidi Chen · Mengnan Zhao · Anshumali Shrivastava
Spotlight
Tue 17:20 TeraPipe: Token-Level Pipeline Parallelism for Training Large-Scale Language Models
Zhuohan Li · Siyuan Zhuang · Shiyuan Guo · Danyang Zhuo · Hao Zhang · Dawn Song · Ion Stoica
Spotlight
Tue 17:25 Quantization Algorithms for Random Fourier Features
Xiaoyun Li · Ping Li
Spotlight
Tue 17:40 Heterogeneity for the Win: One-Shot Federated Clustering
Don Kurian Dennis · Tian Li · Virginia Smith
Spotlight
Tue 17:40 Partially Observed Exchangeable Modeling
Yang Li · Junier Oliva
Spotlight
Tue 18:25 A Unified Generative Adversarial Network Training via Self-Labeling and Self-Attention
Tomoki Watanabe · Paolo Favaro
Spotlight
Tue 18:30 GMAC: A Distributional Perspective on Actor-Critic Framework
Daniel Nam · Younghoon Kim · Chan Youn Park
Spotlight
Tue 18:40 Parallel and Flexible Sampling from Autoregressive Models via Langevin Dynamics
Vivek Jayaram · John Thickstun
Oral
Tue 19:00 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
Spotlight
Tue 19:30 Training Graph Neural Networks with 1000 Layers
Guohao Li · Matthias Müller · Bernard Ghanem · Vladlen Koltun