1 citations · 2 across the 3 of their papers we have counts for
3 papers
stat.ML2024
A Benchmark Suite for Evaluating Neural Mutual Information Estimators on Unstructured Datasets
Kyungeun Lee, Wonjong Rhee
Mutual Information (MI) is a fundamental metric for quantifying dependency between two random variables. When we can access only the samples, but not the underlying distribution fu…
cs.LG2024★ 1 cited
Improving Forward Compatibility in Class Incremental Learning by Increasing Representation Rank and Feature Richness
Jaeill Kim, Wonseok Lee, Moonjung Eo +1
Class Incremental Learning (CIL) constitutes a pivotal subfield within continual learning, aimed at enabling models to progressively learn new classification tasks while retaining…
cs.CV2024★ 1 cited
Enhancing Contrastive Learning with Efficient Combinatorial Positive Pairing
Jaeill Kim, Duhun Hwang, Eunjung Lee +3
In the past few years, contrastive learning has played a central role for the success of visual unsupervised representation learning. Around the same time, high-performance non-con…