Om Thakkar

Artificial Intelligence · 2016–2022

A researcher in the Science corpus: 11 papers; trusts 133 researchers and is trusted by 17 researchers here, as inferred from the citation graph.

Subfields

Whom Om Thakkar trusts overall

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

  1. H. Brendan McMahan
  2. Cynthia Dwork
  3. Shai Shalev-Shwartz
  4. Kamalika Chaudhuri
  5. Kunal Talwar
  6. Diederik P. Kingma
  7. Frank McSherry
  8. Martín Abadi
  9. Geoffrey E. Hinton
  10. Adam D. Smith

Who trusts Om Thakkar overall

  1. Peter Kairouz
  2. Nicholas Carlini
  3. Florian Tramèr
  4. Daphne Ippolito
  5. Natalia Ponomareva
  6. Chiyuan Zhang
  7. Zachary B. Charles
  8. Matthew Jagielski
  9. Shuang Song
  10. Abhradeep Thakurta

Papers from Om Thakkar's perspective

Ordered by how strongly the researchers Om Thakkar 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. 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. Attention is All you Need (Neural Information Processing Systems)
  7. ImageNet: A large-scale hierarchical image database
  8. Learning Multiple Layers of Features from Tiny Images
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Going deeper with convolutions

Their papers