Amit Deshpande

Artificial Intelligence · with Ka-math · 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 Amit Deshpande 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. Yann LeCun

Papers from Amit Deshpande's perspective

Ordered by how strongly the researchers Amit Deshpande 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. Gradient-based learning applied to document recognition
4. Long Short-Term Memory
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
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)