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Poster
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Thu 8:45
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A General Framework for Robust G-Invariance in G-Equivariant Networks
Sophia Sanborn · Sophia Sanborn · Nina Miolane
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Poster
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Thu 15:00
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A Scale-Invariant Sorting Criterion to Find a Causal Order in Additive Noise Models
Alexander Reisach · Myriam Tami · Christof Seiler · Antoine Chambaz · Sebastian Weichwald
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Poster
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Wed 15:00
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Spectral Invariant Learning for Dynamic Graphs under Distribution Shifts
Zeyang Zhang · Xin Wang · Ziwei Zhang · Zhou Qin · Weigao Wen · Hui Xue' · Haoyang Li · Wenwu Zhu
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Poster
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Tue 15:15
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Neural approximation of Wasserstein distance via a universal architecture for symmetric and factorwise group invariant functions
Samantha Chen · Yusu Wang
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Poster
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Learning Invariant Representations of Graph Neural Networks via Cluster Generalization
Donglin Xia · Xiao Wang · Nian Liu · Chuan Shi
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Poster
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Tue 15:15
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Make the U in UDA Matter: Invariant Consistency Learning for Unsupervised Domain Adaptation
Zhongqi Yue · QIANRU SUN · Hanwang Zhang
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Poster
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Tue 15:15
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Learning Invariant Representations with a Nonparametric Nadaraya-Watson Head
Alan Wang · Minh Nguyen · Mert Sabuncu
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Poster
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Thu 8:45
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Causal de Finetti: On the Identification of Invariant Causal Structure in Exchangeable Data
Siyuan Guo · Viktor Toth · Bernhard Schölkopf · Ferenc Huszar
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Poster
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Wed 8:45
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Learning Fine-grained View-Invariant Representations from Unpaired Ego-Exo Videos via Temporal Alignment
Zihui (Sherry) Xue · Kristen Grauman
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Poster
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Wed 8:45
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Learning Time-Invariant Representations for Individual Neurons from Population Dynamics
Lu Mi · Trung Le · Tianxing He · Eli Shlizerman · Uygar Sümbül
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Workshop
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Invariant Low-Dimensional Subspaces in Gradient Descent for Learning Deep Matrix Factorizations
Can Yaras · Peng Wang · Wei Hu · Zhihui Zhu · Laura Balzano · Qing Qu
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Workshop
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Identifying Representations for Intervention Extrapolation
Sorawit Saengkyongam · Elan Rosenfeld · Pradeep Ravikumar · Niklas Pfister · Jonas Peters
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