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The 2021 schedule is still incomplete
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Oral
Thu Jul 22 07:00 AM -- 07:20 AM (PDT)
Domain Generalization using Causal Matching
In Domain Generalization and Multi-task Learning
Divyat Mahajan · Shruti Tople · Amit Sharma
[ Paper ]
Spotlight
Thu Jul 22 07:20 AM -- 07:25 AM (PDT)
Unified Robust Semi-Supervised Variational Autoencoder
In Domain Generalization and Multi-task Learning
Xu Chen
[ Paper ]
Spotlight
Thu Jul 22 07:25 AM -- 07:30 AM (PDT)
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 07:30 AM -- 07:35 AM (PDT)
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 07:35 AM -- 07:40 AM (PDT)
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 07:40 AM -- 07:45 AM (PDT)
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 07:45 AM -- 07:50 AM (PDT)
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 07:50 AM -- 07:55 AM (PDT)
Q&A
In Domain Generalization and Multi-task Learning