Binny Mathew

Artificial Intelligence · 2018–2020

A researcher in the Science corpus: 3 papers; trusts 11 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Binny Mathew trusts overall

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

  1. Diederik P. Kingma
  2. Jeffrey Pennington
  3. Jing Qian
  4. Richard Socher
  5. Manoel Horta Ribeiro
  6. Kevin Munger
  7. Mohammad S. Sorower
  8. Thomas Davidson
  9. Geoffrey E. Hinton
  10. Benjamin Golub

Who trusts Binny Mathew overall

  1. Serra Sinem Tekiroğlu
  2. Bertie Vidgen
  3. Yi-Ling Chung
  4. Helena Bonaldi
  5. Joe Stacey
  6. Marco Guerini
  7. Punyajoy Saha
  8. Sara Dellantonio
  9. Seid Muhie Yimam
  10. Yonatan Belinkov

Papers from Binny Mathew's perspective

Ordered by how strongly the researchers Binny Mathew 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. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  7. Gradient-based learning applied to document recognition
  8. ImageNet: A large-scale hierarchical image database
  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