Amitha Mathew

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Amitha Mathew trusts overall

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

  1. Christopher K. I. Williams
  2. Anil K. Jain
  3. S. Kotsiantis
  4. Individualized Treat
  5. Jinsung Yoon
  6. Dimitris N. Kanellopoulos
  7. Geoffrey E. Hinton
  8. Sergey Ioffe
  9. Yoshua Bengio
  10. Li Deng

Who trusts Amitha Mathew overall

  1. Farhad Shiri
  2. Mohammad Mustafa Taye
  3. Thinagaran Perumal

Papers from Amitha Mathew's perspective

Ordered by how strongly the researchers Amitha Mathew 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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  4. Long Short-Term Memory
  5. GENERATIVE ADVERSARIAL NETS
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. Gradient-based learning applied to document recognition
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Learning Multiple Layers of Features from Tiny Images
  10. Going deeper with convolutions

Their papers