Sudip Roy

Artificial Intelligence · 2016–2022

A researcher in the Science corpus: 6 papers; trusts 4 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Sudip Roy trusts overall

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

  1. Yoshua Bengio
  2. Alison L. Gibbs
  3. Minsuk Kahng
  4. Songyun Duan
  5. Alexander J. Ratner
  6. Sanjay Krishnan
  7. Manasi Vartak
  8. Zheguang Zhao

Who trusts Sudip Roy overall

  1. Yuji Roh
  2. Steven Euijong Whang
  3. Ki Hyun Tae

Papers from Sudip Roy's perspective

Ordered by how strongly the researchers Sudip Roy 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. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  4. Long Short-Term Memory
  5. Gradient-based learning applied to document recognition
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Language Models are Few-Shot Learners (Neural Information Processing Systems)
  9. ImageNet: A large-scale hierarchical image database
  10. Learning Multiple Layers of Features from Tiny Images

Their papers