Abhishek Mohta

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Abhishek Mohta trusts overall

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

  1. Sumit Gulwani
  2. Diederik P. Kingma
  3. Rishabh Singh
  4. Alex Graves
  5. Sepp Hochreiter
  6. Geoffrey E. Hinton
  7. Oleksandr Polozov
  8. Scott E. Reed
  9. J. Urgen Schmidhuber
  10. Frank Torsten Bernd Seide

Who trusts Abhishek Mohta overall

  1. Kevin Ellis
  2. Xinyun Chen

Papers from Abhishek Mohta's perspective

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

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

Their papers