Kuilin Chen
Artificial Intelligence · 2021
A researcher in the Science corpus: 1 paper; trusts 281 researchers and is trusted by 17 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 30 citations into it
- Computer Vision and Pattern Recognition — 26 citations into it
- Meta & Continual Learning — 16 citations into it; #335 of 1,041 by trust here, #827 by citations
- Representation & Self-Supervised Learning — 9 citations into it; #1,255 of 3,145 by trust here, #2,516 by citations
- Radiology, Nuclear Medicine and Imaging — 6 citations into it
Whom Kuilin Chen trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kaiming He
- Spyros Gidaris
- Geoffrey E. Hinton
- Alex Krizhevsky
- Oriol Vinyals
- Yoshua Bengio
- Ross B. Girshick
- Diederik P. Kingma
- Jia Deng
- Yann LeCun
Who trusts Kuilin Chen overall
- Jaya Kalla
- Mert Kilickaya
- Do-Yeon Kim
- Afra Feyza Akyürek
- Pei-Hung Chen
- Haeyong Kang
- Guangyuan Shi
- Song Tian
- Yibo Yang
- Soma Biswas
Papers from Kuilin Chen's perspective
Ordered by how strongly the researchers Kuilin Chen 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
- ImageNet: A large-scale hierarchical image database
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Learning Multiple Layers of Features from Tiny Images
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Incremental few-shot learning via vector quantization in deep embedded space (2021) — 121 citations