Pushkar Mishra

Artificial Intelligence · 2018–2023

A researcher in the Science corpus: 6 papers; trusts 245 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Pushkar Mishra trusts overall

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

  1. Diederik P. Kingma
  2. Yoshua Bengio
  3. Geoffrey E. Hinton
  4. Alex Krizhevsky
  5. Ilya Sutskever
  6. Sepp Hochreiter
  7. Yann LeCun
  8. Quoc V. Le
  9. Tomas Mikolov
  10. J. Urgen Schmidhuber

Who trusts Pushkar Mishra overall

  1. Isar Nejadgholi
  2. Svetlana Kiritchenko
  3. Helen Yannakoudakis
  4. Joni O. Salminen
  5. Fan Yang
  6. Santhosh Rajamanickam
  7. Ekaterina Shutova
  8. Maximilian Hopf
  9. Alexandra Sasha Luccioni
  10. Xiaochang Peng

Papers from Pushkar Mishra's perspective

Ordered by how strongly the researchers Pushkar 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. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  9. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers