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The 2021 schedule is still incomplete
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Oral
Fri Jul 23 09:00 AM -- 09:20 AM (KST)
Composed Fine-Tuning: Freezing Pre-Trained Denoising Autoencoders for Improved Generalization
In Multi-task Learning 1
Sang Michael Xie · Tengyu Ma · Percy Liang
[ Paper ]
Spotlight
Fri Jul 23 09:20 AM -- 09:25 AM (KST)
KD3A: Unsupervised Multi-Source Decentralized Domain Adaptation via Knowledge Distillation
In Multi-task Learning 1
Haozhe Feng · Zhaoyang You · Minghao Chen · Tianye Zhang · Minfeng Zhu · Fei Wu · Chao Wu · Wei Chen
[ Paper ]
Spotlight
Fri Jul 23 09:25 AM -- 09:30 AM (KST)
REPAINT: Knowledge Transfer in Deep Reinforcement Learning
In Multi-task Learning 1
Yunzhe Tao · Sahika Genc · Jonathan Chung · TAO SUN · Sunil Mallya
[ Paper ]
Spotlight
Fri Jul 23 09:30 AM -- 09:35 AM (KST)
Exploiting Shared Representations for Personalized Federated Learning
In Multi-task Learning 1
Liam Collins · Hamed Hassani · Aryan Mokhtari · Sanjay Shakkottai
[ Paper ]
Spotlight
Fri Jul 23 09:35 AM -- 09:40 AM (KST)
Large-Scale Meta-Learning with Continual Trajectory Shifting
In Multi-task Learning 1
JaeWoong Shin · Hae Beom Lee · Boqing Gong · Sung Ju Hwang
[ Paper ]
Spotlight
Fri Jul 23 09:40 AM -- 09:45 AM (KST)
Exploration in Approximate Hyper-State Space for Meta Reinforcement Learning
In Multi-task Learning 1
Luisa Zintgraf · Leo Feng · Cong Lu · Maximilian Igl · Kristian Hartikainen · Katja Hofmann · Shimon Whiteson
[ Paper ]
Spotlight
Fri Jul 23 09:45 AM -- 09:50 AM (KST)
LogME: Practical Assessment of Pre-trained Models for Transfer Learning
In Multi-task Learning 1
Kaichao You · Yong Liu · Jianmin Wang · Mingsheng Long
[ Paper ]
Q&A
Fri Jul 23 09:50 AM -- 09:55 AM (KST)
Q&A
In Multi-task Learning 1