Shekhar Nayak

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Shekhar Nayak trusts overall

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

  1. Aren Jansen
  2. Herman Kamper
  3. Chia-ying Lee
  4. Prasanna Kumar Muthukumar
  5. Zhizheng Wu
  6. Lucas Ondel
  7. Michael Heck
  8. Yang Gao
  9. Taira Tsuchiya
  10. James R. Glass

Papers from Shekhar Nayak's perspective

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

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

Their papers