Natali Ruchansky

Sociology and Political Science · 2017–2019

A researcher in the Science corpus: 2 papers; trusts 28 researchers and is trusted by 11 researchers here, as inferred from the citation graph.

Subfields

Whom Natali Ruchansky trusts overall

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

  1. Quoc V. Le
  2. Jing Ma
  3. Ilya Sutskever
  4. Tomas Mikolov
  5. Krikamol Muandet
  6. Anand Rajaraman
  7. Geoffrey E. Hinton
  8. Victoria L. Rubin
  9. Yoshua Bengio
  10. Oriol Vinyals

Who trusts Natali Ruchansky overall

  1. Rohit Kumar Kaliyar
  2. Xinyi Zhou
  3. Alessandro Bondielli
  4. Raghavendra Chalapathy
  5. Ray Oshikawa
  6. Van-Hoang Nguyen
  7. Saikiran Bulusu
  8. Karishma Sharma
  9. Pratik Narang
  10. Reza Zafarani

Papers from Natali Ruchansky's perspective

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

  1. Long Short-Term Memory
  2. ImageNet classification with deep convolutional neural networks
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Gradient-based learning applied to document recognition
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Attention is All you Need (Neural Information Processing Systems)
  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