Simanta Gautam

Artificial Intelligence · 2016

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 21 citations into it; #24,011 of 35,345 by trust here, #17,412 by citations
• Reinforcement Learning — 20 citations into it; #1,656 of 2,242 by trust here, #1,501 by citations
• Computer Vision and Pattern Recognition — 11 citations into it
• Cognitive Neuroscience — 6 citations into it; #6,516 of 10,852 by trust here, #5,162 by citations

Whom Simanta Gautam trusts overall

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

1. Richard S. Sutton
2. Andrew Barto
3. Volodymyr Mnih
4. Peter S. Dayan
5. Shakir Mohamed
6. Geoffrey E. Hinton
7. Matthew Botvinick
8. Jianbo Shi
9. Tom Schaul
10. J. Urgen Schmidhuber

Who trusts Simanta Gautam overall

1. Alexey Dosovitskiy
2. Niels Justesen

Papers from Simanta Gautam's perspective

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

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

Their papers

• Deep Successor Reinforcement Learning (2016) — 232 citations