Unnat Jain

Computer Vision and Pattern Recognition · 2017–2023

A researcher in the Science corpus: 8 papers; trusts 954 researchers and is trusted by 11 researchers here, as inferred from the citation graph.

Subfields

Whom Unnat Jain trusts overall

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

  1. Geoffrey E. Hinton
  2. Yoshua Bengio
  3. Alex Krizhevsky
  4. Diederik P. Kingma
  5. Kaiming He
  6. Karen Simonyan
  7. Ilya Sutskever
  8. Yann LeCun
  9. Sepp Hochreiter
  10. Ross B. Girshick

Who trusts Unnat Jain overall

  1. Luca Weihs
  2. Medhini Narasimhan
  3. Alexander Gerhard Schwing
  4. Tushar Nagarajan
  5. Changan Chen
  6. Matt Deitke
  7. Van-Quang Nguyen
  8. Idan Schwartz
  9. Jyoti Aneja
  10. Jiaxin Qi

Papers from Unnat Jain's perspective

Ordered by how strongly the researchers Unnat Jain 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Long Short-Term Memory
  5. Attention is All you Need (Neural Information Processing Systems)
  6. ImageNet: A large-scale hierarchical image database
  7. Gradient-based learning applied to document recognition
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers