Byeongho Heo

A Comprehensive Overhaul of Feature Distillation

Byeongho Heo, Jeesoo Kim, Sangdoo Yun et al. · 2019 · 615 citations

Convolutional Neural Network, Engineering, Machine Learning +20

Knowledge Transfer via Distillation of Activation Boundaries Formed by Hidden Neurons

Byeongho Heo, Minsik Lee, Sangdoo Yun et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 2019 · 489 citations · Full text

Engineering, Machine Learning, Neural Recoding +20

The Majority Can Help the Minority: Context-rich Minority Oversampling for Long-tailed Classification

Seulki Park, Youngkyu Hong, Byeongho Heo et al. · 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) · 2022 · 194 citations

Engineering, Machine Learning, Context-rich Minority Oversampling +27

Show, Attend and Distill: Knowledge Distillation via Attention-based Feature Matching

Mingi Ji, Byeongho Heo, Sungrae Park · Proceedings of the AAAI Conference on Artificial Intelligence · 2021 · 134 citations · Full text

Engineering, Machine Learning, Knowledge Extraction +18

Knowledge Distillation with Adversarial Samples Supporting Decision Boundary

Byeongho Heo, Minsik Lee, Sangdoo Yun et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 2019 · 130 citations · Full text

Artificial Intelligence, Decision Boundary, Engineering +12