Sayali Kulkarni

Artificial Intelligence · 2009–2019

A researcher in the Science corpus: 3 papers; trusts 15 researchers and is trusted by 11 researchers here, as inferred from the citation graph.

Subfields

Whom Sayali Kulkarni trusts overall

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

  1. Oriol Vinyals
  2. Ronald J. Williams
  3. Geoffrey E. Hinton
  4. Diederik P. Kingma
  5. Ilya Sutskever
  6. Yoshua Bengio
  7. Thorsten Joachims
  8. Dzmitry Bahdanau
  9. Alex Krizhevsky
  10. Yann LeCun

Who trusts Sayali Kulkarni overall

  1. Zhaochen Guo
  2. Amit Singh
  3. Johannes Hoffart
  4. Denilson Barbosa
  5. Uma Sawant
  6. Nitish Gupta
  7. Marco Cornolti
  8. Hongzhao Huang
  9. Xianpei Han
  10. Soumen Chakrabarti

Papers from Sayali Kulkarni's perspective

Ordered by how strongly the researchers Sayali 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. Long Short-Term Memory
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Gradient-based learning applied to document recognition
  7. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  8. ImageNet: A large-scale hierarchical image database
  9. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  10. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers