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The 2021 schedule is still incomplete
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Oral
Fri Jul 23 10:00 AM -- 10:20 AM (KST)
WILDS: A Benchmark of in-the-Wild Distribution Shifts
In Multi-task Learning 2
Pang Wei Koh · Shiori Sagawa · Henrik Marklund · Sang Michael Xie · Marvin Zhang · Akshay Balsubramani · Weihua Hu · Michihiro Yasunaga · Richard Lanas Phillips · Irena Gao · Tony Lee · Etienne David · Ian Stavness · Wei Guo · Berton Earnshaw · Imran Haque · Sara Beery · Jure Leskovec · Anshul Kundaje · Emma Pierson · Sergey Levine · Chelsea Finn · Percy Liang
[ Paper ]
Spotlight
Fri Jul 23 10:20 AM -- 10:25 AM (KST)
Improving Generalization in Meta-learning via Task Augmentation
In Multi-task Learning 2
Huaxiu Yao · Long-Kai Huang · Linjun Zhang · Ying WEI · Li Tian · James Zou · Junzhou Huang · Zhenhui (Jessie) Li
[ Paper ]
Spotlight
Fri Jul 23 10:25 AM -- 10:30 AM (KST)
Improving Predictors via Combination Across Diverse Task Categories
In Multi-task Learning 2
Kwang In Kim
[ Paper ]
Spotlight
Fri Jul 23 10:30 AM -- 10:35 AM (KST)
MetaCURE: Meta Reinforcement Learning with Empowerment-Driven Exploration
In Multi-task Learning 2
Jin Zhang · Jianhao Wang · Hao Hu · Tong Chen · Yingfeng Chen · Changjie Fan · Chongjie Zhang
[ Paper ]
Spotlight
Fri Jul 23 10:35 AM -- 10:40 AM (KST)
Offline Meta-Reinforcement Learning with Advantage Weighting
In Multi-task Learning 2
Eric Mitchell · Rafael Rafailov · Xue Bin Peng · Sergey Levine · Chelsea Finn
[ Paper ]
Spotlight
Fri Jul 23 10:40 AM -- 10:45 AM (KST)
Bridging Multi-Task Learning and Meta-Learning: Towards Efficient Training and Effective Adaptation
In Multi-task Learning 2
Haoxiang Wang · Han Zhao · Bo Li
[ Paper ]
Q&A
Fri Jul 23 10:45 AM -- 10:50 AM (KST)
Q&A
In Multi-task Learning 2