Jessica J. Chemali
Reinforcement Learning · 2014–2015
A researcher in the Science corpus: 3 papers; trusts 26 researchers and is trusted by 28 researchers here, as inferred from the citation graph.
Subfields
- Reinforcement Learning — 14 citations into it; #1,357 of 2,242 by trust here, #1,999 by citations
- Artificial Intelligence — 9 citations into it
- Management Science and Operations Research — 5 citations into it
Whom Jessica J. Chemali trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Chih-Jen Lin
- Stéphane Ross
- Andrew Y. Ng
- Michail G. Lagoudakis
- Paul R. Rosenbaum
- Joseph Kang
- Richard S. Sutton
- R´emi Munos
- Alessandro Lazaric
- Dimitri P. Bertsekas
Who trusts Jessica J. Chemali overall
- Peter C. Austin
- Todd Hester
- Susan Athey
- L. Gobillon
- Thor Berger
- Yuping Luo
- Sadok El Ghoul
- J. Murray
- Matias Busso
- Huazhe Xu
Papers from Jessica J. Chemali's perspective
Ordered by how strongly the researchers Jessica J. Chemali 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)
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Reinforcement Learning: An Introduction
- Long Short-Term Memory
- Learning Multiple Layers of Features from Tiny Images
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)