Mohit Sharma

Artificial Intelligence · arXiv.org · 2018–2025

A researcher in the Science corpus: 7 papers; trusts 64 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Mohit Sharma trusts overall

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

  1. Diederik P. Kingma
  2. Richard S. Sutton
  3. Kaiming He
  4. Geoffrey E. Hinton
  5. Stefan Schaal
  6. Chelsea Finn
  7. Jimmy Ba
  8. Alex Krizhevsky
  9. Carl E. Rasmussen
  10. Marc Peter Deisenroth

Who trusts Mohit Sharma overall

  1. Chen Wang

Papers from Mohit Sharma's perspective

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

Their papers