Kevin Chavez

Reinforcement Learning · 2015

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 11 citations into it; #1,909 of 2,242 by trust here, #2,201 by citations

Whom Kevin Chavez trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Doina Precup
2. Richard S. Sutton
3. Yangqing Jia
4. Yann LeCun

Who trusts Kevin Chavez overall

1. Le Thanh Tan

Papers from Kevin Chavez's perspective

Ordered by how strongly the researchers Kevin Chavez trusts endorse each paper. Same corpus, a different order for every researcher.

1. Gradient-based learning applied to document recognition
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Long Short-Term Memory
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Attention is All you Need (Neural Information Processing Systems)
7. Caffe: Convolutional Architecture for Fast Feature Embedding
8. Learning Multiple Layers of Features from Tiny Images
9. ImageNet Large Scale Visual Recognition Challenge
10. ImageNet: A large-scale hierarchical image database

Their papers

• Distributed Deep Q-Learning (2015) — 74 citations