Arjun Mukherjee

Artificial Intelligence · 2010–2021

A researcher in the Science corpus: 8 papers; trusts 66 researchers and is trusted by 13 researchers here, as inferred from the citation graph.

Subfields

Whom Arjun Mukherjee trusts overall

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

  1. B. Liu
  2. Thorsten Joachims
  3. Nitin Jindal
  4. J. Fleiss
  5. David M. Blei
  6. Minqing Hu
  7. Radford M. Neal
  8. Michael I. Jordan
  9. Muthu Dayalan
  10. Myle Ott

Who trusts Arjun Mukherjee overall

  1. Shebuti Rayana
  2. Leman Akoglu
  3. B. Liu
  4. Nicholas A. Diakopoulos
  5. Juan Soler
  6. Lei Zhang
  7. Xinyi Zhou
  8. Soujanya Poria
  9. Dong Nguyen
  10. Dongsong Zhang

Papers from Arjun Mukherjee's perspective

Ordered by how strongly the researchers Arjun Mukherjee 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  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. 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