Animesh Mehta

Artificial Intelligence · 2018

A researcher in the Science corpus: 3 papers; trusts 13 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Animesh Mehta trusts overall

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

  1. Ronald J. Williams
  2. Richard S. Sutton
  3. Mark O. Riedl
  4. Ilya Sutskever
  5. Andrew Y. Ng
  6. David Bamman
  7. Sepp Hochreiter
  8. George A. Miller
  9. Geoffrey E. Hinton
  10. Andrew Barto

Who trusts Animesh Mehta overall

  1. Mark O. Riedl
  2. Marc Dymetman

Papers from Animesh Mehta's perspective

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

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

Their papers