Vaibhav Adlakha

Artificial Intelligence · 2024

A researcher in the Science corpus: 1 paper; trusts 20 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Vaibhav Adlakha trusts overall

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

  1. Niklas Muennighoff
  2. Yoshua Bengio
  3. Geoffrey E. Hinton
  4. Diederik P. Kingma
  5. Ilya Sutskever
  6. Jacob Devlin
  7. Alex Krizhevsky
  8. Yonatan Belinkov
  9. Richard Socher
  10. Yann LeCun

Who trusts Vaibhav Adlakha overall

  1. Hong-Liu Cao
  2. Hayato Tsukagoshi

Papers from Vaibhav Adlakha's perspective

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

  1. Attention is All you Need (Neural Information Processing Systems)
  2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  3. Long Short-Term Memory
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. ImageNet classification with deep convolutional neural networks
  6. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  7. ImageNet: A large-scale hierarchical image database
  8. Gradient-based learning applied to document recognition
  9. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers