Asha Viswanath

Representation & Self-Supervised Learning · 2011

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Asha Viswanath trusts overall

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

  1. Neil D. Lawrence
  2. David John Cameron MacKay
  3. Jack M. Wang
  4. Keith Grochow
  5. David J. J. Toal
  6. Aaron Hertzmann
  7. Joaquin Quiñonero Candela
  8. David J. Fleet
  9. Geoffrey E. Hinton
  10. Steven L. Martin

Who trusts Asha Viswanath overall

  1. Ji-chao Li
  2. Xiaosong Du

Papers from Asha Viswanath's perspective

Ordered by how strongly the researchers Asha Viswanath 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. Learning Multiple Layers of Features from Tiny Images
  6. ImageNet Large Scale Visual Recognition Challenge
  7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  9. Attention is All you Need (Neural Information Processing Systems)
  10. ImageNet: A large-scale hierarchical image database

Their papers