Jihwan Bang
Artificial Intelligence · 2021–2023
A researcher in the Science corpus: 3 papers; trusts 164 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 95 citations into it
- Computer Vision and Pattern Recognition — 74 citations into it
- Meta & Continual Learning — 40 citations into it
- Optimization & Training — 27 citations into it
- Representation & Self-Supervised Learning — 21 citations into it
- Model Architectures — 6 citations into it
- Statistical and Nonlinear Physics — 5 citations into it
Whom Jihwan Bang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Krizhevsky
- Kaiming He
- Geoffrey E. Hinton
- Yoshua Bengio
- Max Welling
- Diederik P. Kingma
- Yann LeCun
- Ilya Sutskever
- Ian J. Goodfellow
- Ross B. Girshick
Who trusts Jihwan Bang overall
- Gyuhak Kim
- Zhen Wang
- Hyun-woo Koh
- Liangzu Peng
- Byeonghwi Kim
- Yujin Tang
- Huyong Wang
- Qiankun Gao
- Da-Wei Zhou
- Liu Liu
Papers from Jihwan Bang's perspective
Ordered by how strongly the researchers Jihwan Bang trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Learning Multiple Layers of Features from Tiny Images
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Rainbow Memory: Continual Learning with a Memory of Diverse Samples (2021) — 485 citations
- One Size Fits All for Semantic Shifts: Adaptive Prompt Tuning for Continual Learning (2023) — 7 citations
- Online Continual Learning on a Contaminated Data Stream with Blurry Task Boundaries (2022) — 61 citations