Nikhil Thorat

Artificial Intelligence · 2016–2017

A researcher in the Science corpus: 2 papers; trusts 31 researchers and is trusted by 43 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 39 citations into it; #5,348 of 35,345 by trust here, #1,867 by citations
• Computer Vision and Pattern Recognition — 33 citations into it
• Safety, Robustness & Interpretability — 11 citations into it; #439 of 2,251 by trust here, #383 by citations

Whom Nikhil Thorat trusts overall

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

1. Karen Simonyan
2. Matthew D. Zeiler
3. Christian Szegedy
4. Geoffrey E. Hinton
5. Yoshua Bengio
6. Yann LeCun
7. Alex Krizhevsky
8. Rob Fergus
9. Ilya Sutskever
10. Diederik P. Kingma

Who trusts Nikhil Thorat overall

1. Wojciech Samek
2. Eric Wallace
3. Chih-Kuan Yeh
4. Been Kim
5. Laura Rieger
6. Sara Hooker
7. Mengnan Du
8. Pieter-Jan Kindermans
9. Ramitha Sundar
10. Shir Gur

Papers from Nikhil Thorat's perspective

Ordered by how strongly the researchers Nikhil Thorat 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. Gradient-based learning applied to document recognition
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. ImageNet Large Scale Visual Recognition Challenge
9. Learning Multiple Layers of Features from Tiny Images
10. Going deeper with convolutions

Their papers

• Google’s Multilingual Neural Machine Translation System: Enabling Zero-Shot Translation (2016) — 2,235 citations
• SmoothGrad: removing noise by adding noise (2017) — 2,674 citations