Hila Becker

Statistical and Nonlinear Physics · 2010–2011

A researcher in the Science corpus: 3 papers; trusts 35 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

Whom Hila Becker trusts overall

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

  1. James Allan
  2. Giridhar Kumaran
  3. Pavel Berkhin
  4. Mikhail Bilenko
  5. Jaka Demsar
  6. Mor Naaman
  7. Takeshi Sakaki
  8. Jure Leskovec
  9. William W. Cohen
  10. Alexander Strehl

Who trusts Hila Becker overall

  1. Cedric De Boom
  2. Mor Naaman
  3. Fons Wijnhoven
  4. Anthony Stefanidis
  5. Steven Van Canneyt
  6. Oscar Bloemen
  7. Luis Gravano
  8. Bart Dhoedt
  9. Atefeh Farzindar
  10. Deepayan Chakrabarti

Papers from Hila Becker's perspective

Ordered by how strongly the researchers Hila Becker 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. ImageNet classification with deep convolutional neural networks
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Attention is All you Need (Neural Information Processing Systems)
  5. Long Short-Term Memory
  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. 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