Amit Chakraborty

Artificial Intelligence · with Dey · 2019

A researcher in the Science corpus: 1 paper; trusts 11 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Amit Chakraborty trusts overall

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

  1. David Haussler
  2. Jonathan Baxter
  3. Romeo Ortega
  4. Diederik P. Kingma

Papers from Amit Chakraborty's perspective

Ordered by how strongly the researchers Amit 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  3. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  4. ImageNet classification with deep convolutional neural networks
  5. Continuous control with deep reinforcement learning (International Conference on Learning Representations)
  6. 5分で分かる!? 有名論文ナナメ読み：Jacob Devlin et al. : BERT : Pre-training of Deep Bidirectional Transformers for Language Understanding
  7. Gradient-based learning applied to document recognition
  8. Long Short-Term Memory
  9. Attention is All you Need (Neural Information Processing Systems)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers