Nikhil Mishra

Artificial Intelligence · 2016–2017

A researcher in the Science corpus: 5 papers; trusts 150 researchers and is trusted by 130 researchers here, as inferred from the citation graph.

Subfields

Whom Nikhil Mishra trusts overall

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

  1. Diederik P. Kingma
  2. Geoffrey E. Hinton
  3. Yoshua Bengio
  4. Kaiming He
  5. Alex Graves
  6. Alex Krizhevsky
  7. Karen Simonyan
  8. John Schulman
  9. Sepp Hochreiter
  10. Sergey Levine

Who trusts Nikhil Mishra overall

  1. Chelsea Finn
  2. Sergey Levine
  3. Pieter Abbeel
  4. Abhishek Gupta
  5. Tianhe Yu
  6. Jonathan Ho
  7. Qianru Sun
  8. Yoshua Bengio
  9. Trevor Darrell
  10. David W. Romero

Papers from Nikhil Mishra's perspective

Ordered by how strongly the researchers Nikhil Mishra 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. Attention is All you Need (Neural Information Processing Systems)
  5. Long Short-Term Memory
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  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