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Spotlight
Wed Jul 20 11:30 PM -- 11:35 PM (KST) @ Ballroom 3 & 4
Weisfeiler-Lehman Meets Gromov-Wasserstein
In MISC: General Machine Learning Techniques
Samantha Chen · Sunhyuk Lim · Facundo Memoli · Zhengchao Wan · Yusu Wang
Spotlight
Wed Jul 20 11:35 PM -- 11:40 PM (KST) @ Ballroom 3 & 4
GenLabel: Mixup Relabeling using Generative Models
In MISC: General Machine Learning Techniques
Jy yong Sohn · Liang Shang · Hongxu Chen · Jaekyun Moon · Dimitris Papailiopoulos · Kangwook Lee
Spotlight
Wed Jul 20 11:40 PM -- 11:45 PM (KST) @ Ballroom 3 & 4
When and How Mixup Improves Calibration
In MISC: General Machine Learning Techniques
Linjun Zhang · Zhun Deng · Kenji Kawaguchi · James Zou
Spotlight
Wed Jul 20 11:45 PM -- 11:50 PM (KST) @ Ballroom 3 & 4
On Transportation of Mini-batches: A Hierarchical Approach
In MISC: General Machine Learning Techniques
Khai Nguyen · Dang Nguyen · Quoc Nguyen · Tung Pham · Hung Bui · Dinh Phung · Trung Le · Nhat Ho
Spotlight
Wed Jul 20 11:50 PM -- 11:55 PM (KST) @ Ballroom 3 & 4
VariGrow: Variational Architecture Growing for Task-Agnostic Continual Learning based on Bayesian Novelty
In MISC: General Machine Learning Techniques
Randy Ardywibowo · Zepeng Huo · Zhangyang “Atlas” Wang · Bobak Mortazavi · Shuai Huang · Xiaoning Qian
Spotlight
Wed Jul 20 11:55 PM -- 12:00 AM (KST) @ Ballroom 3 & 4
Beyond Images: Label Noise Transition Matrix Estimation for Tasks with Lower-Quality Features
In MISC: General Machine Learning Techniques
Zhaowei Zhu · Jialu Wang · Yang Liu
Spotlight
Thu Jul 21 12:00 AM -- 12:05 AM (KST) @ Ballroom 3 & 4
A Model-Agnostic Randomized Learning Framework based on Random Hypothesis Subspace Sampling
In MISC: General Machine Learning Techniques
Yiting Cao · Chao Lan
Oral
Thu Jul 21 12:05 AM -- 12:25 AM (KST) @ Ballroom 3 & 4 None
Stable Conformal Prediction Sets
In MISC: General Machine Learning Techniques
Eugene Ndiaye
Spotlight
Thu Jul 21 12:25 AM -- 12:30 AM (KST) @ Ballroom 3 & 4
Rethinking Fano’s Inequality in Ensemble Learning
In MISC: General Machine Learning Techniques
Terufumi Morishita · Gaku Morio · Shota Horiguchi · Hiroaki Ozaki · Nobuo Nukaga
Spotlight
Thu Jul 21 12:30 AM -- 12:35 AM (KST) @ Ballroom 3 & 4
FITNESS: (Fine Tune on New and Similar Samples) to detect anomalies in streams with drift and outliers
In MISC: General Machine Learning Techniques
Abishek Sankararaman · Balakrishnan Narayanaswamy · Vikramank Singh · Zhao Song
Spotlight
Thu Jul 21 12:35 AM -- 12:40 AM (KST) @ Ballroom 3 & 4
Improving Mini-batch Optimal Transport via Partial Transportation
In MISC: General Machine Learning Techniques
Khai Nguyen · Dang Nguyen · The-Anh Vu-Le · Tung Pham · Nhat Ho
Spotlight
Thu Jul 21 12:40 AM -- 12:45 AM (KST) @ Ballroom 3 & 4
Near-optimal rate of consistency for linear models with missing values
In MISC: General Machine Learning Techniques
Alexis Ayme · Claire Boyer · Aymeric Dieuleveut · Erwan Scornet
Spotlight
Thu Jul 21 12:45 AM -- 12:50 AM (KST) @ Ballroom 3 & 4
Permutation Search of Tensor Network Structures via Local Sampling
In MISC: General Machine Learning Techniques
Chao Li · Junhua Zeng · Zerui Tao · Qibin Zhao
Spotlight
Thu Jul 21 12:50 AM -- 12:55 AM (KST) @ Ballroom 3 & 4
Revisiting Label Smoothing and Knowledge Distillation Compatibility: What was Missing?
In MISC: General Machine Learning Techniques
Keshigeyan Chandrasegaran · Ngoc-Trung Tran · Yunqing Zhao · Ngai-Man Cheung
Spotlight
Thu Jul 21 12:55 AM -- 01:00 AM (KST) @ Ballroom 3 & 4
DNNR: Differential Nearest Neighbors Regression
In MISC: General Machine Learning Techniques
Youssef Nader · Leon Sixt · Tim Landgraf