Amit Daniely

Artificial Intelligence · 2014–2017

A researcher in the Science corpus: 5 papers; trusts 80 researchers and is trusted by 97 researchers here, as inferred from the citation graph.

Subfields

Whom Amit Daniely trusts overall

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

  1. Robert E. Schapire
  2. Francis R. Bach
  3. Michael Kearns
  4. Avrim Blum
  5. Christopher K. I. Williams
  6. Yuhai Wu
  7. Yoshua Bengio
  8. Yoav Freund
  9. Shai Shalev-Shwartz
  10. Dustin Boswell

Who trusts Amit Daniely overall

  1. Zeyuan Allen-Zhu
  2. Greg Yang
  3. Yuanzhi Li
  4. Sanjeev Arora
  5. Simon Shaolei Du
  6. Surbhi Goel
  7. Blake E. Woodworth
  8. Ethan Dyer
  9. Jason D. Lee
  10. Ilias Diakonikolas

Papers from Amit Daniely's perspective

Ordered by how strongly the researchers Amit Daniely 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. Gradient-based learning applied to document recognition
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Long Short-Term Memory
  6. ImageNet: A large-scale hierarchical image database
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Learning Multiple Layers of Features from Tiny Images
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers