6 citations · 12 across the 3 of their papers we have counts for
3 papers
cs.CV2022★ 4 cited
FairGRAPE: Fairness-aware GRAdient Pruning mEthod for Face Attribute Classification
Xiaofeng Lin, Seungbae Kim, Jungseock Joo
Existing pruning techniques preserve deep neural networks' overall ability to make correct predictions but may also amplify hidden biases during the compression process. We propose…
cs.CV2022★ 2 cited
Explaining Deep Convolutional Neural Networks via Latent Visual-Semantic Filter Attention
Yu Yang, Seungbae Kim, Jungseock Joo
Interpretability is an important property for visual models as it helps researchers and users understand the internal mechanism of a complex model. However, generating semantic exp…
cs.NI2010★ 6 cited
An Empirical Study on Content Bundling in BitTorrent Swarming System
Jinyoung Han, Taejoong Chung, Seungbae Kim +3
Despite the tremendous success of BitTorrent, its swarming system suffers from a fundamental limitation: lower or no availability of unpopular contents. Recently, Menasche et al. h…