Anupam Guha

Natural Language Processing · 2014–2016

A researcher in the Science corpus: 3 papers; trusts 24 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Anupam Guha trusts overall

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

  1. George A. Miller
  2. Burr Settles
  3. Greg Durrett
  4. Vincent Ng
  5. Lev-Arie Ratinov
  6. Tomas Mikolov
  7. Diederik P. Kingma
  8. Dan Roth
  9. Richard Socher
  10. Daniel Klein

Who trusts Anupam Guha overall

  1. Yang Trista Cao
  2. Hal Daumé Iii
  3. Pradeep Dasigi
  4. Snigdha Chaturvedi
  5. Anjalie Field
  6. Lea Frermann
  7. Ahmed Elgohary
  8. Eric Wallace
  9. Jordan L. Boyd-Graber
  10. Nelson F. Liu

Papers from Anupam Guha's perspective

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

Their papers