Gwonsoo Che
Artificial Intelligence · 2021
A researcher in the Science corpus: 1 paper; trusts 30 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 29 citations into it
- Probabilistic & Bayesian Methods — 29 citations into it; #1,525 of 1,525 by trust here, #1,515 by citations
- Computer Vision and Pattern Recognition — 9 citations into it
- Statistics and Probability — 8 citations into it
Whom Gwonsoo Che trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Radford M. Neal
- Andrew Gelman
- Diederik P. Kingma
- Tom Minka
- Matthew D. Hoffman
- Martin J. Wainwright
- Michael I. Jordan
- Christophe Andrieu
- Geoffrey E. Hinton
- Hongqiao Wang
Papers from Gwonsoo Che's perspective
Ordered by how strongly the researchers Gwonsoo Che trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- GENERATIVE ADVERSARIAL NETS
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)