Saurabh Arora
Artificial Intelligence · with Doshi · 2018
A researcher in the Science corpus: 1 paper; trusts 75 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 36 citations into it; #23,080 of 35,345 by trust here, #30,347 by citations
- Reinforcement Learning — 32 citations into it
- Control and Systems Engineering — 14 citations into it
- Computer Vision and Pattern Recognition — 9 citations into it
- Computational Theory and Mathematics — 7 citations into it
- Game & Decision Theory — 5 citations into it
- Management Science and Operations Research — 5 citations into it
Whom Saurabh Arora trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Sergey Levine
- Pieter Abbeel
- Brian D. Ziebart
- Andrew Y. Ng
- E. Todorov
- Nathan D. Ratliff
- Geoffrey E. Hinton
- Richard S. Sutton
- Yoshua Bengio
- J. Bagnell
Who trusts Saurabh Arora overall
Papers from Saurabh Arora's perspective
Ordered by how strongly the researchers Saurabh Arora 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)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- 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)
- Learning Multiple Layers of Features from Tiny Images
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- A Survey of Inverse Reinforcement Learning: Challenges, Methods and Progress (2018) — 794 citations