Indranil Chakraborty

Artificial Intelligence · with Panda · 2019

A researcher in the Science corpus: 1 paper; trusts 10 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 11 citations into it
• Safety, Robustness & Interpretability — 9 citations into it

Whom Indranil Chakraborty trusts overall

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

1. Yann LeCun
2. Ian J. Goodfellow
3. Kaiming He
4. Geoffrey E. Hinton
5. Christian Szegedy
6. Alex Krizhevsky
7. Jia Deng
8. Yoshua Bengio
9. Alexey Kurakin
10. X. Zhang

Papers from Indranil Chakraborty's perspective

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

Their papers

• Discretization Based Solutions for Secure Machine Learning Against Adversarial Attacks (2019) — 42 citations