Salil Prashant Deena

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Salil Prashant Deena trusts overall

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

  1. Mirco Ravanelli
  2. Yusuke Shinohara
  3. Yoshua Bengio
  4. Chunyang Wu
  5. Xiaodong Cui
  6. Geoffrey E. Hinton
  7. Daniel Povey
  8. George Saon
  9. Koji Okabe
  10. Ashish Vaswani

Papers from Salil Prashant Deena's perspective

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

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

Their papers