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Oral
Tue Jul 19 11:30 PM -- 11:50 PM (KST) @ Ballroom 3 & 4
Tackling covariate shift with node-based Bayesian neural networks
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Tue Jul 19 11:50 PM -- 11:55 PM (KST) @ Ballroom 3 & 4
Why the Rich Get Richer? On the Balancedness of Random Partition Models
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Tue Jul 19 11:55 PM -- 12:00 AM (KST) @ Ballroom 3 & 4
A Completely Tuning-Free and Robust Approach to Sparse Precision Matrix Estimation
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Wed Jul 20 12:00 AM -- 12:05 AM (KST) @ Ballroom 3 & 4
Markov Chain Monte Carlo for Continuous-Time Switching Dynamical Systems
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Wed Jul 20 12:05 AM -- 12:10 AM (KST) @ Ballroom 3 & 4
Calibrated Learning to Defer with One-vs-All Classifiers
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Paper PDF]
Oral
Wed Jul 20 12:10 AM -- 12:30 AM (KST) @ Ballroom 3 & 4
Tractable Uncertainty for Structure Learning
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Wed Jul 20 12:30 AM -- 12:35 AM (KST) @ Ballroom 3 & 4
DNA: Domain Generalization with Diversified Neural Averaging
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Wed Jul 20 12:35 AM -- 12:40 AM (KST) @ Ballroom 3 & 4
Unified Fourier-based Kernel and Nonlinearity Design for Equivariant Networks on Homogeneous Spaces
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Wed Jul 20 12:40 AM -- 12:45 AM (KST) @ Ballroom 3 & 4
DynaMixer: A Vision MLP Architecture with Dynamic Mixing
[
Paper PDF]
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Wed Jul 20 12:45 AM -- 12:50 AM (KST) @ Ballroom 3 & 4
Channel Importance Matters in Few-Shot Image Classification
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Wed Jul 20 12:50 AM -- 12:55 AM (KST) @ Ballroom 3 & 4
Fishr: Invariant Gradient Variances for Out-of-Distribution Generalization
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