Deb K. Roy

Artificial Intelligence · 2002–2021

A researcher in the Science corpus: 14 papers; trusts 35 researchers and is trusted by 51 researchers here, as inferred from the citation graph.

Subfields

Whom Deb K. Roy trusts overall

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

  1. Lawrence R. Rabiner
  2. Anthony J. Robinson
  3. Hynek Hermansky
  4. Paul J. Werbos
  5. Steven Pinker
  6. Nelson Morgan
  7. Michael I. Posner
  8. Geoffrey E. Hinton
  9. Thomas Kailath
  10. Daniel Klein

Who trusts Deb K. Roy overall

  1. David F. Harwath
  2. James R. Glass
  3. Raymond J. Mooney
  4. Emmanuel Dupoux
  5. Lauren Schmidt
  6. J. Weng
  7. Karl Moritz Hermann
  8. Wei-Ning Hsu
  9. S. Branavan
  10. Jennifer Drexler

Papers from Deb K. Roy's perspective

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

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. ImageNet classification with deep convolutional neural networks
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Long Short-Term Memory
  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. Learning Multiple Layers of Features from Tiny Images
  9. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers