Tanishq Gupta

Artificial Intelligence · 2021

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Tanishq Gupta trusts overall

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

  1. Rie Kubota Ando
  2. Iz Beltagy
  3. John Blitzer
  4. Livio Baldini Soares
  5. Peter F. Brown
  6. Tong Zhang
  7. Suchin Gururangan
  8. Kyle Lo
  9. Leigh Weston
  10. Ryan T. McDonald

Papers from Tanishq Gupta's perspective

Ordered by how strongly the researchers Tanishq Gupta 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. Gradient-based learning applied to document recognition
  8. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
  9. ImageNet: A large-scale hierarchical image database
  10. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers