Vijay Viswanathan

Artificial Intelligence · with Liu · 2022

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Vijay Viswanathan trusts

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

  1. Steven Bird (in Artificial Intelligence)
  2. Gerlof J. Bouma (in Information Extraction)

Papers from Vijay Viswanathan's perspective

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

  1. Attention is All you Need (Neural Information Processing Systems)
  2. Long Short-Term Memory
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. ImageNet classification with deep convolutional neural networks
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Recursive Deep Models for Semantic Compositionality Over a Sentiment Treebank
  7. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  8. Gradient-based learning applied to document recognition
  9. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  10. A large annotated corpus for learning natural language inference

Their papers