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Oral
Tue Jul 19 07:30 AM -- 07:50 AM (PDT) @ Ballroom 3 & 4
Tackling covariate shift with node-based Bayesian neural networks
Trung Trinh · Markus Heinonen · Luigi Acerbi · Samuel Kaski
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Tue Jul 19 07:50 AM -- 07:55 AM (PDT) @ Ballroom 3 & 4
Why the Rich Get Richer? On the Balancedness of Random Partition Models
Changwoo Lee · Huiyan Sang
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Tue Jul 19 07:55 AM -- 08:00 AM (PDT) @ Ballroom 3 & 4
A Completely Tuning-Free and Robust Approach to Sparse Precision Matrix Estimation
Chau Tran · Guo Yu
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Tue Jul 19 08:00 AM -- 08:05 AM (PDT) @ Ballroom 3 & 4
Markov Chain Monte Carlo for Continuous-Time Switching Dynamical Systems
Lukas Köhs · Bastian Alt · Heinz Koeppl
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Tue Jul 19 08:05 AM -- 08:10 AM (PDT) @ Ballroom 3 & 4
Calibrated Learning to Defer with One-vs-All Classifiers
Rajeev Verma · Eric Nalisnick
Oral
Tue Jul 19 08:10 AM -- 08:30 AM (PDT) @ Ballroom 3 & 4
Tractable Uncertainty for Structure Learning
Benjie Wang · Matthew Wicker · Marta Kwiatkowska
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Tue Jul 19 08:30 AM -- 08:35 AM (PDT) @ Ballroom 3 & 4
DNA: Domain Generalization with Diversified Neural Averaging
Xu Chu · Yujie Jin · Wenwu Zhu · Yasha Wang · Xin Wang · Shanghang Zhang · Hong Mei
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Tue Jul 19 08:35 AM -- 08:40 AM (PDT) @ Ballroom 3 & 4
Unified Fourier-based Kernel and Nonlinearity Design for Equivariant Networks on Homogeneous Spaces
Yinshuang Xu · Jiahui Lei · Edgar Dobriban · Kostas Daniilidis
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Tue Jul 19 08:40 AM -- 08:45 AM (PDT) @ Ballroom 3 & 4
DynaMixer: A Vision MLP Architecture with Dynamic Mixing
Ziyu Wang · Wenhao Jiang · Yiming Zhu · Li Yuan · Yibing Song · Wei Liu
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Tue Jul 19 08:45 AM -- 08:50 AM (PDT) @ Ballroom 3 & 4
Channel Importance Matters in Few-Shot Image Classification
Xu Luo · Jing Xu · ZENGLIN Xu
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Tue Jul 19 08:50 AM -- 08:55 AM (PDT) @ Ballroom 3 & 4
Fishr: Invariant Gradient Variances for Out-of-Distribution Generalization
Alexandre Rame · Corentin Dancette · Matthieu Cord
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