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

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

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