Shakti Kumar

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 7 citations into it; #25,977 of 35,345 by trust here, #34,213 by citations
• Model Architectures — 5 citations into it; #1,702 of 2,278 by trust here, #2,243 by citations

Whom Shakti Kumar trusts overall

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

1. Sainbayar Sukhbaatar
2. Edouard Grave
3. Ashish Vaswani
4. Geoffrey E. Hinton
5. Lasse Espeholt
6. Emilio Parisotto
7. Yoshua Bengio
8. Armand Joulin
9. Noam Shazeer
10. Alex Krizhevsky

Who trusts Shakti Kumar overall

1. Michael Janner
2. Qiyang Li
3. Sergey Levine

Papers from Shakti Kumar's perspective

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

1. Attention is All you Need (Neural Information Processing Systems)
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. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
10. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers

• Adaptive Transformers in RL (2020) — 18 citations