Suyash Gupta

Artificial Intelligence · 2020

A researcher in the Science corpus: 2 papers; trusts 89 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom Suyash Gupta trusts overall

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

  1. Alex Krizhevsky
  2. Vladimir G Vovk
  3. Kaiming He
  4. Daphne Koller
  5. Jia Deng
  6. Yaniv Romano
  7. Geoffrey E. Hinton
  8. E.J. Candes
  9. John C. Duchi
  10. Christian Szegedy

Who trusts Suyash Gupta overall

  1. Yaniv Romano
  2. Anastasios Nikolas Angelopoulos

Papers from Suyash Gupta's perspective

Ordered by how strongly the researchers Suyash Gupta 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. ImageNet: A large-scale hierarchical image database
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Gradient-based learning applied to document recognition
  6. Learning Multiple Layers of Features from Tiny Images
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Long Short-Term Memory
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers