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Workshop
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Multi-Task Reinforcement Learning with Context-based Representations
Shagun Sodhani · Amy Zhang · Joelle Pineau
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Workshop
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Fri 12:05
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Weakly Supervised Multi-task Learning for Concept-based Explainability
Vladimir Balayan
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Workshop
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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
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Workshop
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Fri 12:20
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Weakly Supervised Multi-task Learning for Concept-based Explainability - Q&A
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Poster
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Wed 1:00
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FOCAL: Efficient Fully-Offline Meta-Reinforcement Learning via Distance Metric Learning and Behavior Regularization
Lanqing Li · Rui Yang · Dijun Luo
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Poster
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Tue 1:00
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Learning the Pareto Front with Hypernetworks
Aviv Navon · Aviv Shamsian · Ethan Fetaya · Gal Chechik
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Workshop
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Differentially Private Multi-Task Learning
Shengyuan Hu · Steven Wu · Virginia Smith
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Spotlight
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Mon 21:46
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The Traveling Observer Model: Multi-task Learning Through Spatial Variable Embeddings
Elliot Meyerson · Risto Miikkulainen
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Poster
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Mon 9:00
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The Traveling Observer Model: Multi-task Learning Through Spatial Variable Embeddings
Elliot Meyerson · Risto Miikkulainen
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Poster
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Wed 9:00
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HyperGrid Transformers: Towards A Single Model for Multiple Tasks
Yi Tay · Zhe Zhao · Dara Bahri · Donald Metzler · Da-Cheng Juan
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Poster
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Tue 1:00
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Auxiliary Learning by Implicit Differentiation
Aviv Navon · Idan Achituve · Haggai Maron · Gal Chechik · Ethan Fetaya
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Workshop
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Fri 7:18
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Poster Spotlight "Flexible Multi-task Networks by Learning Parameter Allocation"
Krzysztof Maziarz · Efi Kokiopoulou
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