Kamal Nigam

Natural Language Processing · 1998–2006

A researcher in the Science corpus: 9 papers; trusts 21 researchers and is trusted by 419 researchers here, as inferred from the citation graph.

Subfields

Whom Kamal Nigam trusts overall

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

  1. Thorsten Joachims
  2. David D. Lewis
  3. Andrew McCallum
  4. Arthur P. Dempster
  5. David Yarowsky
  6. Geoffrey J. McLachlan
  7. Nan M. Laird
  8. Stephen E. Robertson
  9. Leah S. Larkey
  10. William A. Gale

Who trusts Kamal Nigam overall

  1. Andrew McCallum
  2. Charu C. Aggarwal
  3. Zhi-Hua Zhou
  4. Gideon S. Mann
  5. Thomas G. Dietterich
  6. Percy Liang
  7. Mohamed Farouk Abdel Hady
  8. B. Liu
  9. Xiaojun Wan
  10. Raymond J. Mooney

Papers from Kamal Nigam's perspective

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

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

Their papers