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Workshop
Fri 9:45 Offline Q-learning on Diverse Multi-Task Data Both Scales And Generalizes
Aviral Kumar · Rishabh Agarwal · XINYANG GENG · George Tucker · Sergey Levine
Poster
Wed 14:00 Do Current Multi-Task Optimization Methods in Deep Learning Even Help?
Derrick Xin · Behrooz Ghorbani · Justin Gilmer · Ankush Garg · Orhan Firat
Poster
Wed 14:00 Multi-block Min-max Bilevel Optimization with Applications in Multi-task Deep AUC Maximization
Quanqi Hu · YONGJIAN ZHONG · Tianbao Yang
Poster
Multi-dataset Training of Transformers for Robust Action Recognition
Junwei Liang · Enwei Zhang · Jun Zhang · Chunhua Shen
Workshop
The Importance of Temperature in Multi-Task Optimization
David Mueller · Mark Dredze · Nicholas Andrews
Poster
Thu 14:00 Improving Multi-Task Generalization via Regularizing Spurious Correlation
Ziniu Hu · Zhe Zhao · Xinyang Yi · Tiansheng Yao · Lichan Hong · Yizhou Sun · Ed Chi
Poster
Wed 14:00 In Defense of the Unitary Scalarization for Deep Multi-Task Learning
Vitaly Kurin · Alessandro De Palma · Ilya Kostrikov · Shimon Whiteson · Pawan K Mudigonda
Poster
Provable General Function Class Representation Learning in Multitask Bandits and MDP
Rui Lu · Andrew Zhao · Simon Du · Gao Huang
Affinity Workshop
Multi-task Representation Learning for Renewable Energy Systems
Chandana Priya Nivarthi · Stephan Vogt · Bernhard Sick
Poster
Wed 9:00 AutoMTL: A Programming Framework for Automating Efficient Multi-Task Learning
Lijun Zhang · Xiao Liu · Hui Guan
Poster
Tue 9:00 PaCo: Parameter-Compositional Multi-task Reinforcement Learning
Lingfeng Sun · Haichao Zhang · Wei Xu · Masayoshi TOMIZUKA
Poster
Wed 14:00 Learning Audio-Visual Dynamics Using Scene Graphs for Audio Source Separation
Moitreya Chatterjee · Narendra Ahuja · Anoop Cherian