Samik Sadhu

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 45 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 17 citations into it
• Computer Vision and Pattern Recognition — 6 citations into it
• Optimization & Training — 5 citations into it
• Representation & Self-Supervised Learning — 5 citations into it
• Signal Processing — 5 citations into it
• Speech & Audio — 5 citations into it

Whom Samik Sadhu trusts overall

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

1. Diederik P. Kingma
2. Lawrence R. Rabiner
3. Rahaf Aljundi
4. Geoffrey E. Hinton
5. David Lopez-Paz
6. Zhizhong Li
7. Hervé Bourlard
8. Jimmy Ba
9. Yoshua Bengio
10. Alex Krizhevsky

Papers from Samik Sadhu's perspective

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

Their papers

• Continual Learning in Automatic Speech Recognition (2020) — 39 citations