Chaitanya Malaviya

Artificial Intelligence · 2017–2023

A researcher in the Science corpus: 8 papers; trusts 148 researchers and is trusted by 28 researchers here, as inferred from the citation graph.

Subfields

Whom Chaitanya Malaviya trusts overall

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

  1. Geoffrey E. Hinton
  2. Yoshua Bengio
  3. Ilya Sutskever
  4. Diederik P. Kingma
  5. Sepp Hochreiter
  6. Alex Krizhevsky
  7. Rico Sennrich
  8. Tomas Mikolov
  9. Yann LeCun
  10. J. Urgen Schmidhuber

Who trusts Chaitanya Malaviya overall

  1. Graham Neubig
  2. Adyasha Maharana
  3. Antonios Anastasopoulos
  4. Weizhe Yuan
  5. Gonçalo M. Correia
  6. Ahmet Üstün
  7. Baiyun Cui
  8. Mohit Bansal
  9. Joris Baan
  10. Xu Tan

Papers from Chaitanya Malaviya's perspective

Ordered by how strongly the researchers Chaitanya Malaviya 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. Attention is All you Need (Neural Information Processing Systems)
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Long Short-Term Memory
  6. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  7. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  8. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  9. Gradient-based learning applied to document recognition
  10. ImageNet: A large-scale hierarchical image database

Their papers