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Poster
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Tue 10:30
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RISP: Rendering-Invariant State Predictor with Differentiable Simulation and Rendering for Cross-Domain Parameter Estimation
Pingchuan Ma · Tao Du · Joshua B Tenenbaum · Wojciech Matusik · Chuang Gan
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Oral
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Thu 1:45
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RISP: Rendering-Invariant State Predictor with Differentiable Simulation and Rendering for Cross-Domain Parameter Estimation
Pingchuan Ma · Tao Du · Joshua B Tenenbaum · Wojciech Matusik · Chuang Gan
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Oral
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Wed 9:15
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Asymmetry Learning for Counterfactually-invariant Classification in OOD Tasks
S Chandra Mouli · Bruno Ribeiro
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Poster
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Thu 10:30
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Asymmetry Learning for Counterfactually-invariant Classification in OOD Tasks
S Chandra Mouli · Bruno Ribeiro
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Poster
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Wed 2:30
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SPIRAL: Self-supervised Perturbation-Invariant Representation Learning for Speech Pre-Training
Wenyong Huang · Zhenhe Zhang · Yu Ting Yeung · Xin Jiang · Qun Liu
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Poster
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Tue 10:30
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Cross-Lingual Transfer with Class-Weighted Language-Invariant Representations
Ruicheng Xian · Heng Ji · Han Zhao
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Poster
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Thu 10:30
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Capacity of Group-invariant Linear Readouts from Equivariant Representations: How Many Objects can be Linearly Classified Under All Possible Views?
Matthew Farrell · Blake Bordelon · Shubhendu Trivedi · Cengiz Pehlevan
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Poster
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Thu 10:30
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VICReg: Variance-Invariance-Covariance Regularization for Self-Supervised Learning
Adrien Bardes · Jean Ponce · Yann LeCun
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Poster
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Tue 18:30
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Discovering Invariant Rationales for Graph Neural Networks
Ying-Xin Wu · Xiang Wang · An Zhang · Xiangnan He · Tat-Seng Chua
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Poster
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Mon 18:30
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Neural Models for Output-Space Invariance in Combinatorial Problems
Yatin Nandwani · Vidit Jain · Mausam . · Parag Singla
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Poster
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Mon 18:30
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Training invariances and the low-rank phenomenon: beyond linear networks
Thien Le · Stefanie Jegelka
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Poster
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Thu 18:30
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Do deep networks transfer invariances across classes?
Allan Zhou · Fahim Tajwar · Alexander Robey · Tom Knowles · George Pappas · Hamed Hassani · Chelsea Finn
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