Kumar Avinava Dubey

Artificial Intelligence · 2015–2023

A researcher in the Science corpus: 8 papers; trusts 271 researchers and is trusted by 12 researchers here, as inferred from the citation graph.

Subfields

Whom Kumar Avinava Dubey trusts overall

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

  1. Diederik P. Kingma
  2. Geoffrey E. Hinton
  3. Radford M. Neal
  4. Yoshua Bengio
  5. Alex Krizhevsky
  6. Yann LeCun
  7. Ilya Sutskever
  8. Sepp Hochreiter
  9. Kaiming He
  10. Alex Graves

Who trusts Kumar Avinava Dubey overall

  1. Mrinmaya Sachan
  2. Eric P. Xing
  3. Adam Trischler
  4. Igor Labutov
  5. Conor Durkan
  6. Pan Lu
  7. Yi Tay
  8. Charlie Nash
  9. Johannes Welbl
  10. Ferran Alet

Papers from Kumar Avinava Dubey's perspective

Ordered by how strongly the researchers Kumar Avinava Dubey 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. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers