Kalpesh Krishna

Artificial Intelligence · 2018–2025

A researcher in the Science corpus: 12 papers; trusts 673 researchers and is trusted by 14 researchers here, as inferred from the citation graph.

Subfields

Whom Kalpesh Krishna trusts overall

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

  1. Diederik P. Kingma
  2. Geoffrey E. Hinton
  3. Ilya Sutskever
  4. Yoshua Bengio
  5. Alex Graves
  6. Alex Krizhevsky
  7. Yann LeCun
  8. Kaiming He
  9. Oriol Vinyals
  10. Sepp Hochreiter

Who trusts Kalpesh Krishna overall

  1. Marzena Karpinska
  2. Machel Reid
  3. Anna Wegmann
  4. Yonatan Belinkov
  5. Mirac Suzgun
  6. Sachin Kumar
  7. Tianyu Gao
  8. Albert Zeyer
  9. Jack Weston
  10. Helena Bonaldi

Papers from Kalpesh Krishna's perspective

Ordered by how strongly the researchers Kalpesh Krishna 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  3. Attention is All you Need (Neural Information Processing Systems)
  4. ImageNet classification with deep convolutional neural networks
  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. ImageNet: A large-scale hierarchical image database
  8. Gradient-based learning applied to document recognition
  9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  10. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers