Umang Bhatt

Artificial Intelligence · 2019–2023

A researcher in the Science corpus: 9 papers; trusts 88 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Umang Bhatt trusts overall

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

  1. Radford M. Neal
  2. Geoffrey E. Hinton
  3. Diederik P. Kingma
  4. Yann LeCun
  5. Yoshua Bengio
  6. Alex Krizhevsky
  7. Lloyd S. Shapley
  8. Kaiming He
  9. David John Cameron MacKay
  10. Ilya Sutskever

Who trusts Umang Bhatt overall

  1. Javier Antorán
  2. Adrian Weller
  3. Vadim Borisov
  4. Sarah Tan
  5. Botty Dimanov
  6. Anamaria Crisan
  7. Q. Liao
  8. José M. F. Moura
  9. Amir-Hossein Karimi
  10. Tameem Adel

Papers from Umang Bhatt's perspective

Ordered by how strongly the researchers Umang Bhatt 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. Long Short-Term Memory
  6. Attention is All you Need (Neural Information Processing Systems)
  7. ImageNet: A large-scale hierarchical image database
  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. ImageNet Large Scale Visual Recognition Challenge

Their papers