Skip to yearly menu bar Skip to main content


(8 events)   Timezone:  
Show all
The 2021 schedule is still incomplete
Toggle Poster Visibility
Oral
Thu Jul 22 05:00 PM -- 05:20 PM (PDT)
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
Thu Jul 22 05:20 PM -- 05:25 PM (PDT)
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
Thu Jul 22 05:25 PM -- 05:30 PM (PDT)
REPAINT: Knowledge Transfer in Deep Reinforcement Learning
In Multi-task Learning 1
Yunzhe Tao · Sahika Genc · Jonathan Chung · TAO SUN · Sunil Mallya
[ Paper ]
Spotlight
Thu Jul 22 05:30 PM -- 05:35 PM (PDT)
Exploiting Shared Representations for Personalized Federated Learning
In Multi-task Learning 1
Liam Collins · Hamed Hassani · Aryan Mokhtari · Sanjay Shakkottai
[ Paper ]
Spotlight
Thu Jul 22 05:35 PM -- 05:40 PM (PDT)
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
Thu Jul 22 05:40 PM -- 05:45 PM (PDT)
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
Thu Jul 22 05:45 PM -- 05:50 PM (PDT)
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
Thu Jul 22 05:50 PM -- 05:55 PM (PDT)
Q&A
In Multi-task Learning 1