Kishore Prahallad

Artificial Intelligence · 2010–2017

A researcher in the Science corpus: 4 papers; trusts 18 researchers and is trusted by 15 researchers here, as inferred from the citation graph.

Subfields

Whom Kishore Prahallad trusts overall

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

  1. Satoshi Imai
  2. Alan W. Black
  3. Daniel Klein
  4. A. Acero
  5. Pedro J. Moreno Mengibar
  6. Richard Sproat
  7. Christopher D. Manning
  8. Paul A. Taylor
  9. Christopher Alberti
  10. Lawrence R. Rabiner

Who trusts Kishore Prahallad overall

  1. Vassil Panayotov
  2. Guoguo Chen
  3. Simon King
  4. Daniel Povey
  5. Soroush Mehri
  6. Sanjeev Khudanpur
  7. Linghui Chen
  8. Hsin-Te Hwang

Papers from Kishore Prahallad's perspective

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

  1. Attention is All you Need (Neural Information Processing Systems)
  2. Long Short-Term Memory
  3. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. ImageNet classification with deep convolutional neural networks
  6. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  9. Gradient-based learning applied to document recognition
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers