Kiyoung Choi
Hardware and Architecture · 2015–2019
A researcher in the Science corpus: 3 papers; trusts 45 researchers and is trusted by 1 researcher here, as inferred from the citation graph.
Subfields
- Hardware and Architecture — 30 citations into it; #1,415 of 1,551 by trust here, #494 by citations
- Computer Vision and Pattern Recognition — 28 citations into it
- Computer Networks and Communications — 25 citations into it; #9,369 of 9,886 by trust here, #3,318 by citations
- Artificial Intelligence — 24 citations into it
- Representation & Self-Supervised Learning — 8 citations into it
- Meta & Continual Learning — 7 citations into it
- Optimization & Training — 7 citations into it
Whom Kiyoung Choi trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Krizhevsky
- Geoffrey E. Hinton
- Sungpack Hong
- Ronald Kemker
- Kaiming He
- Yoshua Bengio
- Yann LeCun
- Alexander Rainer Tassilo Gepperth
- Dima Damen
- Oriol Vinyals
Who trusts Kiyoung Choi overall
Papers from Kiyoung Choi's perspective
Ordered by how strongly the researchers Kiyoung Choi 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
- Learning Multiple Layers of Features from Tiny Images
- Gradient-based learning applied to document recognition
- 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)
- Distilling the Knowledge in a Neural Network (arXiv.org)
- Long Short-Term Memory
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- PIM-enabled instructions: A low-overhead, locality-aware processing-in-memory architecture (2015) — 543 citations
- Autoencoder-Based Incremental Class Learning without Retraining on Old Data (2019) — 13 citations
- A scalable processing-in-memory accelerator for parallel graph processing (2015) — 900 citations