S. Martha

Electrical and Electronic Engineering · 2009–2015

A researcher in the Science corpus: 6 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom S. Martha trusts overall

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

  1. D. Aurbach
  2. Christopher S. Johnson
  3. Jun Liu
  4. M. Thackeray
  5. Arumugam Manthiram

Papers from S. Martha's perspective

Ordered by how strongly the researchers S. Martha 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. ImageNet classification with deep convolutional neural networks
  3. Long Short-Term Memory
  4. Attention is All you Need (Neural Information Processing Systems)
  5. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  6. Histograms of oriented gradients for human detection
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  9. Dropout: a simple way to prevent neural networks from overfitting
  10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers