Ankith Uppunda

Artificial Intelligence · 2021

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 Ankith Uppunda trusts overall

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

  1. Kenton C. T. Lee
  2. Jieyu Zhao
  3. Nafise Sadat Moosavi
  4. Luheng He
  5. Eduard H. Hovy
  6. Tianlu Wang
  7. Alexander J. Ratner
  8. Luke S. Zettlemoyer
  9. Michael Strube
  10. Mark Yatskar

Papers from Ankith Uppunda's perspective

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

  1. Attention is All you Need (Neural Information Processing Systems)
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Long Short-Term Memory
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  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. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  8. ImageNet: A large-scale hierarchical image database
  9. Gradient-based learning applied to document recognition
  10. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)

Their papers