Rohan Bavishi

Artificial Intelligence · 2017–2019

A researcher in the Science corpus: 2 papers; trusts 33 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

Whom Rohan Bavishi trusts overall

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

  1. Miltiadis Allamanis
  2. Veselin Raychev
  3. Ilya Sutskever
  4. Diederik P. Kingma
  5. Sepp Hochreiter
  6. Geoffrey E. Hinton
  7. Marc Brockschmidt
  8. Yoshua Bengio
  9. Quoc V. Le
  10. J. Urgen Schmidhuber

Who trusts Rohan Bavishi overall

  1. Rafael-Michael Karampatsis
  2. Miltiadis Allamanis
  3. Hlib Babii
  4. Baptiste Rozière
  5. Charles Sutton
  6. Earl T. Barr
  7. Naman Jain
  8. Andrea Janes
  9. Pengcheng Yin
  10. Marie-Anne Lachaux

Papers from Rohan Bavishi's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Long Short-Term Memory
  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. ImageNet: A large-scale hierarchical image database
  9. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers