Tanmoy Bhattacharya

Artificial Intelligence · 2000–2022

A researcher in the Science corpus: 15 papers; trusts 80 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Tanmoy Bhattacharya trusts overall

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

  1. Alex Krizhevsky
  2. Geoffrey E. Hinton
  3. Karen Simonyan
  4. Kaiming He
  5. Yoshua Bengio
  6. Diederik P. Kingma
  7. Yann LeCun
  8. Jia Deng
  9. Christian Szegedy
  10. Ilya Sutskever

Who trusts Tanmoy Bhattacharya overall

  1. A. Bazavov
  2. V. Cirigliano
  3. Jonathan Engel
  4. Timothy E. Chupp
  5. M. Ramsey-Musolf
  6. C. Fischer
  7. Aviral Kumar
  8. S. Borsányi

Papers from Tanmoy Bhattacharya's perspective

Ordered by how strongly the researchers Tanmoy Bhattacharya 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. ImageNet: A large-scale hierarchical image database
  5. Gradient-based learning applied to document recognition
  6. Long Short-Term Memory
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Learning Multiple Layers of Features from Tiny Images
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers