Sandesh Kamath

Artificial Intelligence · with Deshpande · 2019

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 15 citations into it
• Computer Vision and Pattern Recognition — 8 citations into it
• Safety, Robustness & Interpretability — 7 citations into it

Whom Sandesh Kamath trusts overall

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

1. Ian J. Goodfellow
2. Kaiming He
3. Christian Szegedy
4. Geoffrey E. Hinton
5. Alexey Kurakin
6. Alex Krizhevsky
7. X. Zhang
8. Yoshua Bengio
9. Aleksander Madry
10. Shaoqing Ren

Who trusts Sandesh Kamath overall

1. Lorenzo Bonicelli

Papers from Sandesh Kamath's perspective

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

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

Their papers

• On Adversarial Robustness of Small vs Large Batch Training (2019)