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Spotlight
Thu Jul 21 11:30 PM -- 11:35 PM (KST) @ Room 327 - 329
Blurs Behave Like Ensembles: Spatial Smoothings to Improve Accuracy, Uncertainty, and Robustness
Spotlight
Thu Jul 21 11:35 PM -- 11:40 PM (KST) @ Room 327 - 329
Breaking Down Out-of-Distribution Detection: Many Methods Based on OOD Training Data Estimate a Combination of the Same Core Quantities
Spotlight
Thu Jul 21 11:40 PM -- 11:45 PM (KST) @ Room 327 - 329
Comprehensive Analysis of Negative Sampling in Knowledge Graph Representation Learning
Spotlight
Thu Jul 21 11:45 PM -- 11:50 PM (KST) @ Room 327 - 329
Linearity Grafting: Relaxed Neuron Pruning Helps Certifiable Robustness
Spotlight
Thu Jul 21 11:50 PM -- 11:55 PM (KST) @ Room 327 - 329
A Hierarchical Transitive-Aligned Graph Kernel for Un-attributed Graphs
Spotlight
Thu Jul 21 11:55 PM -- 12:00 AM (KST) @ Room 327 - 329
Leverage Score Sampling for Tensor Product Matrices in Input Sparsity Time
Oral
Fri Jul 22 12:00 AM -- 12:20 AM (KST) @ Room 327 - 329
Random Gegenbauer Features for Scalable Kernel Methods
Spotlight
Fri Jul 22 12:20 AM -- 12:25 AM (KST) @ Room 327 - 329
Robust Meta-learning with Sampling Noise and Label Noise via Eigen-Reptile
Spotlight
Fri Jul 22 12:25 AM -- 12:30 AM (KST) @ Room 327 - 329
Functional Output Regression with Infimal Convolution: Exploring the Huber and $\epsilon$-insensitive Losses
Spotlight
Fri Jul 22 12:30 AM -- 12:35 AM (KST) @ Room 327 - 329
Measuring dissimilarity with diffeomorphism invariance
Spotlight
Fri Jul 22 12:35 AM -- 12:40 AM (KST) @ Room 327 - 329
Importance Weighted Kernel Bayes' Rule
Spotlight
Fri Jul 22 12:40 AM -- 12:45 AM (KST) @ Room 327 - 329
An Asymptotic Test for Conditional Independence using Analytic Kernel Embeddings
Spotlight
Fri Jul 22 12:45 AM -- 12:50 AM (KST) @ Room 327 - 329
Nyström Kernel Mean Embeddings
Spotlight
Fri Jul 22 12:50 AM -- 12:55 AM (KST) @ Room 327 - 329
Distribution Regression with Sliced Wasserstein Kernels
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