Kashyap Popat

Artificial Intelligence · 2016–2021

A researcher in the Science corpus: 3 papers; trusts 19 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Kashyap Popat trusts overall

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

  1. Ndapandula Nakashole
  2. Diederik P. Kingma
  3. Xiaoxin Yin
  4. William Yang Wang
  5. Alex Graves
  6. Geoffrey E. Hinton
  7. Carlos Castillo
  8. Tom Michael Mitchell
  9. Jeffrey Pennington
  10. Jimmy Ba

Who trusts Kashyap Popat overall

  1. Ramy Baly
  2. Naser Ahmadi
  3. Georgi Karadzhov
  4. Tsvetomila Mihaylova
  5. Preslav Nakov
  6. Tal Schuster
  7. Neema Kotonya
  8. Joohyung Lee
  9. Subhabrata Mukherjee

Papers from Kashyap Popat's perspective

Ordered by how strongly the researchers Kashyap Popat 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. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Long Short-Term Memory
  4. ImageNet classification with deep convolutional neural networks
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  10. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers