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(8 events)   Time zone: Conference local time zone  
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The 2021 schedule is still incomplete
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Oral
Fri Jul 23 02:00 AM -- 02:20 AM (CEST)
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 02:20 AM -- 02:25 AM (CEST)
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 02:25 AM -- 02:30 AM (CEST)
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 02:30 AM -- 02:35 AM (CEST)
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 02:35 AM -- 02:40 AM (CEST)
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 02:40 AM -- 02:45 AM (CEST)
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 02:45 AM -- 02:50 AM (CEST)
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 02:50 AM -- 02:55 AM (CEST)
Q&A
In Multi-task Learning 1