Abhinav Kumar

Information Systems · with Castellanos · 2013

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Abhinav Kumar trusts overall

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

  1. Thorsten Joachims
  2. Tie-Yan Liu
  3. J. Fleiss
  4. Nitin Jindal
  5. B. Liu
  6. Arjun Mukherjee
  7. Myle Ott
  8. Usama M. Fayyad
  9. Sihong Xie
  10. Song Feng

Who trusts Abhinav Kumar overall

  1. Shebuti Rayana

Papers from Abhinav Kumar's perspective

Ordered by how strongly the researchers Abhinav Kumar trusts endorse each paper. Same corpus, a different order for every researcher.

  1. ImageNet classification with deep convolutional neural networks
  2. Attention is All you Need (Neural Information Processing Systems)
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Long Short-Term Memory
  5. Gradient-based learning applied to document recognition
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. Learning Multiple Layers of Features from Tiny Images
  8. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  10. ImageNet: A large-scale hierarchical image database

Their papers