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Spotlight
Tue Jul 19 11:30 PM -- 11:35 PM (KST) @ Room 318 - 320
Multi-Task Learning as a Bargaining Game
In Transfer/Multitask/Meta Learning
Aviv Navon · Aviv Shamsian · Idan Achituve · Haggai Maron · Kenji Kawaguchi · Gal Chechik · Ethan Fetaya
Spotlight
Tue Jul 19 11:35 PM -- 11:40 PM (KST) @ Room 318 - 320
Frustratingly Easy Transferability Estimation
In Transfer/Multitask/Meta Learning
Long-Kai Huang · Junzhou Huang · Yu Rong · Qiang Yang · Ying WEI
Spotlight
Tue Jul 19 11:40 PM -- 11:45 PM (KST) @ Room 318 - 320
Transformer Neural Processes: Uncertainty-Aware Meta Learning Via Sequence Modeling
In Transfer/Multitask/Meta Learning
Tung Nguyen · Aditya Grover
Spotlight
Tue Jul 19 11:45 PM -- 11:50 PM (KST) @ Room 318 - 320
A Difference Standardization Method for Mutual Transfer Learning
In Transfer/Multitask/Meta Learning
Haoqing Xu · Meng Wang · Beilun Wang
Spotlight
Tue Jul 19 11:50 PM -- 11:55 PM (KST) @ Room 318 - 320
Improving Task-free Continual Learning by Distributionally Robust Memory Evolution
In Transfer/Multitask/Meta Learning
Zhenyi Wang · Li Shen · Le Fang · Qiuling Suo · Tiehang Duan · Mingchen Gao
Spotlight
Tue Jul 19 11:55 PM -- 12:00 AM (KST) @ Room 318 - 320
A Multi-objective / Multi-task Learning Framework Induced by Pareto Stationarity
In Transfer/Multitask/Meta Learning
Michinari Momma · Chaosheng Dong · Jia Liu
Spotlight
Wed Jul 20 12:00 AM -- 12:05 AM (KST) @ Room 318 - 320
Sparse Invariant Risk Minimization
In Transfer/Multitask/Meta Learning
Xiao Zhou · Yong LIN · Weizhong Zhang · Tong Zhang
Oral
Wed Jul 20 12:05 AM -- 12:25 AM (KST) @ Room 318 - 320
Head2Toe: Utilizing Intermediate Representations for Better Transfer Learning
In Transfer/Multitask/Meta Learning
Utku Evci · Vincent Dumoulin · Hugo Larochelle · Michael Mozer
Spotlight
Wed Jul 20 12:25 AM -- 12:30 AM (KST) @ Room 318 - 320
A Closer Look at Smoothness in Domain Adversarial Training
In Transfer/Multitask/Meta Learning
Harsh Rangwani · Sumukh K Aithal · Mayank Mishra · Arihant Jain · Venkatesh Babu Radhakrishnan
Spotlight
Wed Jul 20 12:30 AM -- 12:35 AM (KST) @ Room 318 - 320
Balancing Discriminability and Transferability for Source-Free Domain Adaptation
In Transfer/Multitask/Meta Learning
Jogendra Nath Kundu · Akshay Kulkarni · Suvaansh Bhambri · Deepesh Mehta · Shreyas Kulkarni · Varun Jampani · Venkatesh Babu Radhakrishnan
Spotlight
Wed Jul 20 12:35 AM -- 12:40 AM (KST) @ Room 318 - 320
Model Agnostic Sample Reweighting for Out-of-Distribution Learning
In Transfer/Multitask/Meta Learning
Xiao Zhou · Yong LIN · Renjie Pi · Weizhong Zhang · Renzhe Xu · Peng Cui · Tong Zhang
Spotlight
Wed Jul 20 12:40 AM -- 12:45 AM (KST) @ Room 318 - 320
Zero-shot AutoML with Pretrained Models
In Transfer/Multitask/Meta Learning
Ekrem Öztürk · Fabio Ferreira · Hadi S Jomaa · Lars Schmidt-Thieme · Josif Grabocka · Frank Hutter
Spotlight
Wed Jul 20 12:45 AM -- 12:50 AM (KST) @ Room 318 - 320
Efficient Variance Reduction for Meta-learning
In Transfer/Multitask/Meta Learning
Hansi Yang · James Kwok
Spotlight
Wed Jul 20 12:50 AM -- 12:55 AM (KST) @ Room 318 - 320
Generalizing to Evolving Domains with Latent Structure-Aware Sequential Autoencoder
In Transfer/Multitask/Meta Learning
Tiexin QIN · Shiqi Wang · Haoliang Li
Spotlight
Wed Jul 20 12:55 AM -- 01:00 AM (KST) @ Room 318 - 320
Partial disentanglement for domain adaptation
In Transfer/Multitask/Meta Learning
Lingjing Kong · Shaoan Xie · Weiran Yao · Yujia Zheng · Guangyi Chen · Petar Stojanov · Victor Akinwande · Kun Zhang