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Oral
Thu Jul 22 11:00 PM -- 11:20 PM (KST)
Domain Generalization using Causal Matching
In Domain Generalization and Multi-task Learning
Divyat Mahajan · Shruti Tople · Amit Sharma
[ Paper ]
Spotlight
Thu Jul 22 11:20 PM -- 11:25 PM (KST)
Unified Robust Semi-Supervised Variational Autoencoder
In Domain Generalization and Multi-task Learning
Xu Chen
[ Paper ]
Spotlight
Thu Jul 22 11:25 PM -- 11:30 PM (KST)
Representation Subspace Distance for Domain Adaptation Regression
In Domain Generalization and Multi-task Learning
Xinyang Chen · Sinan Wang · Jianmin Wang · Mingsheng Long
[ Paper ]
Spotlight
Thu Jul 22 11:30 PM -- 11:35 PM (KST)
Personalized Federated Learning using Hypernetworks
In Domain Generalization and Multi-task Learning
Aviv Shamsian · Aviv Navon · Ethan Fetaya · Gal Chechik
[ Paper ]
Spotlight
Thu Jul 22 11:35 PM -- 11:40 PM (KST)
f-Domain Adversarial Learning: Theory and Algorithms
In Domain Generalization and Multi-task Learning
David Acuna · Guojun Zhang · Marc Law · Sanja Fidler
[ Paper ]
Spotlight
Thu Jul 22 11:40 PM -- 11:45 PM (KST)
Few-Shot Conformal Prediction with Auxiliary Tasks
In Domain Generalization and Multi-task Learning
Adam Fisch · Tal Schuster · Tommi Jaakkola · Regina Barzilay
[ Paper ]
Spotlight
Thu Jul 22 11:45 PM -- 11:50 PM (KST)
Learning a Universal Template for Few-shot Dataset Generalization
In Domain Generalization and Multi-task Learning
Eleni Triantafillou · Hugo Larochelle · Richard Zemel · Vincent Dumoulin
[ Paper ]
Q&A
Thu Jul 22 11:50 PM -- 11:55 PM (KST)
Q&A
In Domain Generalization and Multi-task Learning