Lekha Mohan
Artificial Intelligence · 2018
A researcher in the Science corpus: 1 paper; trusts 146 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 24 citations into it; #30,098 of 35,345 by trust here, #18,186 by citations
- Computer Vision and Pattern Recognition — 24 citations into it; #18,465 of 21,575 by trust here, #12,172 by citations
- Control and Systems Engineering — 21 citations into it; #7,006 of 8,257 by trust here, #2,692 by citations
- Reinforcement Learning — 14 citations into it; #1,984 of 2,242 by trust here, #1,545 by citations
- Robotics & Control — 12 citations into it; #467 of 609 by trust here, #395 by citations
- Biomedical Engineering — 7 citations into it
Whom Lekha Mohan trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Krizhevsky
- Diederik P. Kingma
- Geoffrey E. Hinton
- Ross B. Girshick
- Karen Simonyan
- Kaiming He
- Ilya Sutskever
- Yoshua Bengio
- Sergey Levine
- Lerrel Pinto
Who trusts Lekha Mohan overall
Papers from Lekha Mohan's perspective
Ordered by how strongly the researchers Lekha Mohan 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
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
- Going deeper with convolutions
Their papers
- Multiple Interactions Made Easy (MIME): Large Scale Demonstrations Data for Imitation (2018) — 133 citations