Arulmurugan Ambikapathi

Artificial Intelligence · 2014–2020

A researcher in the Science corpus: 2 papers; trusts 10 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Arulmurugan Ambikapathi trusts

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

  1. José M. Bioucas-Dias (in Media Technology)
  2. Bing Liu (in Artificial Intelligence)
  3. Derek Hoiem (in Computer Vision and Pattern Recognition)
  4. Jose M. P. Nascimento (in Media Technology)
  5. Paul Tseng (in Computational Mechanics)
  6. Yi Yang (in Computer Vision and Pattern Recognition)
  7. Zhizhong Li (in Computer Vision and Pattern Recognition)
  8. Alex Krizhevsky (in Computer Vision and Pattern Recognition)
  9. Davide Maltoni (in Artificial Intelligence)
  10. Vincenzo Lomonaco (in Artificial Intelligence)

Papers from Arulmurugan Ambikapathi's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Distilling the Knowledge in a Neural Network (arXiv.org)
  3. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. Gradient-based learning applied to document recognition
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. ImageNet: A large-scale hierarchical image database
  8. Attention is All you Need (Neural Information Processing Systems)
  9. GANs Trained by a Two Time-Scale Update Rule Converge to a Local Nash Equilibrium
  10. Overcoming catastrophic forgetting in neural networks

Their papers