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Workshop
Fri 12:05 Weakly Supervised Multi-task Learning for Concept-based Explainability
Vladimir Balayan
Workshop
Fri 12:20 Weakly Supervised Multi-task Learning for Concept-based Explainability - Q&A
Poster
Tue 1:00 Learning the Pareto Front with Hypernetworks
Aviv Navon · Aviv Shamsian · Ethan Fetaya · Gal Chechik
Workshop
Multi-Task Reinforcement Learning with Context-based Representations
Shagun Sodhani · Amy Zhang · Joelle Pineau
Workshop
Differentially Private Multi-Task Learning
Shengyuan Hu · Steven Wu · Virginia Smith
Poster
Mon 9:00 The Traveling Observer Model: Multi-task Learning Through Spatial Variable Embeddings
Elliot Meyerson · Risto Miikkulainen
Spotlight
Mon 21:46 The Traveling Observer Model: Multi-task Learning Through Spatial Variable Embeddings
Elliot Meyerson · Risto Miikkulainen
Poster
Tue 1:00 Auxiliary Learning by Implicit Differentiation
Aviv Navon · Idan Achituve · Haggai Maron · Gal Chechik · Ethan Fetaya
Poster
Wed 9:00 HyperGrid Transformers: Towards A Single Model for Multiple Tasks
Yi Tay · Zhe Zhao · Dara Bahri · Donald Metzler · Da-Cheng Juan
Workshop
Fri 7:18 Poster Spotlight "Flexible Multi-task Networks by Learning Parameter Allocation"
Krzysztof Maziarz · Efi Kokiopoulou
Workshop
Reset-Free Reinforcement Learning via Multi-Task Learning: Learning Dexterous Manipulation Behaviors without Human Intervention
Abhishek Gupta · Justin Yu · Vikash Kumar · Tony Zhao · Kelvin Xu · Aaron Rovinsky · Thomas Devlin · Sergey Levine
Poster
Wed 17:00 In-N-Out: Pre-Training and Self-Training using Auxiliary Information for Out-of-Distribution Robustness
Sang Michael Xie · Ananya Kumar · Robbie Jones · Fereshte Khani · Tengyu Ma · Percy Liang