Sujay Khandagale

Artificial Intelligence · 2023

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Sujay Khandagale trusts overall

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

  1. Jerome H. Friedman
  2. J. Ross Quinlan
  3. D. R. Cox
  4. Alex Krizhevsky
  5. Geoffrey E. Hinton
  6. Tianqi Chen
  7. Sercan Ö. Arik
  8. Ravid Shwartz-Ziv
  9. John T. Hancock
  10. Kaiming He

Papers from Sujay Khandagale's perspective

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

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

Their papers