Mayur Naik

Artificial Intelligence · 2003–2020

A researcher in the Science corpus: 10 papers; trusts 28 researchers and is trusted by 35 researchers here, as inferred from the citation graph.

Subfields

Whom Mayur Naik trusts overall

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

  1. Thomas Ball
  2. Patrice Godefroid
  3. Cormac Flanagan
  4. Sriram K. Rajamani
  5. Sudheendra Hangal
  6. Monica S. Lam
  7. David E. Gay
  8. Miltiadis Allamanis
  9. Chandrasekhar Boyapati
  10. Alice X. Zheng

Who trusts Mayur Naik overall

  1. W. E. Wong
  2. Ravi Mangal
  3. Koushik Sen
  4. Wontae Choi
  5. Ke Mao
  6. Riyadh Mahmood
  7. Aleksandar Chakarov
  8. Aditya V. Nori
  9. Chao Liu
  10. Bradley Hayes

Papers from Mayur Naik's perspective

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

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

Their papers