Viktor K. Prasanna

Artificial Intelligence · 2001–2019

A researcher in the Science corpus: 6 papers; trusts 63 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

Whom Viktor K. Prasanna trusts overall

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

  1. Christopher K. I. Williams
  2. Jianguo Zhang
  3. Dekang Lin
  4. Diederik P. Kingma
  5. Kaiming He
  6. Geoffrey E. Hinton
  7. Jia Deng
  8. Alex Krizhevsky
  9. Yoshua Bengio
  10. Marcin Marszalek

Who trusts Viktor K. Prasanna overall

  1. Fang Yu
  2. Brad L. Hutchings
  3. Ramesh Rajagopalan

Papers from Viktor K. Prasanna's perspective

Ordered by how strongly the researchers Viktor K. Prasanna 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  3. ImageNet classification with deep convolutional neural networks
  4. ImageNet: A large-scale hierarchical image database
  5. Long Short-Term Memory
  6. Gradient-based learning applied to document recognition
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Learning Multiple Layers of Features from Tiny Images
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers