Anupam Gupta

Artificial Intelligence · 2001–2019

A researcher in the Science corpus: 8 papers; trusts 33 researchers and is trusted by 65 researchers here, as inferred from the citation graph.

Subfields

Whom Anupam Gupta trusts overall

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

  1. Cynthia Dwork
  2. Frank McSherry
  3. Moritz Hardt
  4. Aaron Roth
  5. Per Austrin
  6. Kobbi Nissim
  7. Sudipto Guha
  8. Kunal Talwar
  9. Noga Alon
  10. Avrim Blum

Who trusts Anupam Gupta overall

  1. Jonathan Ullman
  2. Mark Bun
  3. Aaron Roth
  4. Aleksandar Nikolov
  5. Jalaj Upadhyay
  6. Moritz Hardt
  7. Gilles Barthe
  8. Cynthia Dwork
  9. S. Muthu Muthukrishnan
  10. Aleksandra Korolova

Papers from Anupam Gupta's perspective

Ordered by how strongly the researchers Anupam Gupta 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. Learning Multiple Layers of Features from Tiny Images
  4. Gradient-based learning applied to document recognition
  5. ImageNet: A large-scale hierarchical image database
  6. Calibrating Noise to Sensitivity in Private Data Analysis
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  9. Long Short-Term Memory
  10. Efficient noise-tolerant learning from statistical queries

Their papers