Vivek Kulkarni

Artificial Intelligence · 2014–2019

A researcher in the Science corpus: 8 papers; trusts 74 researchers and is trusted by 10 researchers here, as inferred from the citation graph.

Subfields

Whom Vivek Kulkarni trusts overall

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

  1. Yoshua Bengio
  2. Geoffrey E. Hinton
  3. Tomas Mikolov
  4. L. Eon Bottou
  5. Cynthia Dwork
  6. Alex Krizhevsky
  7. Ilya Sutskever
  8. Andriy Mnih
  9. Yann LeCun
  10. Diederik P. Kingma

Who trusts Vivek Kulkarni overall

  1. William L. Hamilton
  2. Xiaolei Huang
  3. Benedek Rozemberczki
  4. Mario Giulianelli
  5. Marco Del Tredici
  6. Bryan Perozzi
  7. Robert Bamler
  8. Michael J. Paul
  9. R. Fern'andez
  10. Negin Entezari

Papers from Vivek Kulkarni's perspective

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

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

Their papers