Arunesh Sinha

Artificial Intelligence · 2015–2018

A researcher in the Science corpus: 6 papers; trusts 118 researchers and is trusted by 11 researchers here, as inferred from the citation graph.

Subfields

Whom Arunesh Sinha trusts overall

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

  1. Geoffrey E. Hinton
  2. Nicolas Papernot
  3. Alex Krizhevsky
  4. Yann LeCun
  5. David Haussler
  6. L. Eon Bottou
  7. Ian J. Goodfellow
  8. Christian Szegedy
  9. Daniel McFadden
  10. Cynthia Dwork

Who trusts Arunesh Sinha overall

  1. Nicolas Papernot
  2. Weilin Xu
  3. Patrick Drew McDaniel
  4. Saeed Mahloujifar
  5. Xiaoyong Yuan
  6. Florian Tramèr
  7. Beilun Wang

Papers from Arunesh Sinha's perspective

Ordered by how strongly the researchers Arunesh Sinha 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. Gradient-based learning applied to document recognition
  5. Long Short-Term Memory
  6. Learning Multiple Layers of Features from Tiny Images
  7. ImageNet: A large-scale hierarchical image database
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. GENERATIVE ADVERSARIAL NETS

Their papers