Anoop Toffy

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Anoop Toffy trusts overall

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

  1. Mehdi Mirza
  2. Alec Radford

Who trusts Anoop Toffy overall

  1. Zhifeng Kong

Papers from Anoop Toffy's perspective

Ordered by how strongly the researchers Anoop Toffy trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks
  2. ImageNet classification with deep convolutional neural networks
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Gradient-based learning applied to document recognition
  5. Long Short-Term Memory
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Learning Multiple Layers of Features from Tiny Images
  9. ImageNet: A large-scale hierarchical image database
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers