Prashant Bhat

Artificial Intelligence · 2022–2023

A researcher in the Science corpus: 3 papers; trusts 377 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Prashant Bhat trusts overall

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

  1. Kaiming He
  2. Alex Krizhevsky
  3. Geoffrey E. Hinton
  4. Yoshua Bengio
  5. Diederik P. Kingma
  6. Yann LeCun
  7. Anthony V. Robins
  8. Marc'Aurelio Ranzato
  9. Ross B. Girshick
  10. Ilya Sutskever

Papers from Prashant Bhat's perspective

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

Their papers