Yakir A. Reshef

Genetics · 2011–2019

A researcher in the Science corpus: 8 papers; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Yakir A. Reshef trusts overall

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

  1. M. Levine
  2. A. Rényi
  3. Michael R. Kosorok
  4. Jasper Snoek
  5. Jason Ernst
  6. Leo Breiman
  7. Brendan K. Bulik-Sullivan
  8. Gao Huang
  9. Po-Ru Loh
  10. Sharon R. Browning

Who trusts Yakir A. Reshef overall

  1. Wojciech Samek
  2. Alexander Marx
  3. Jan Peters

Papers from Yakir A. Reshef's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Densely Connected Convolutional Networks
  3. Gradient-based learning applied to document recognition
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Long Short-Term Memory
  7. ImageNet Large Scale Visual Recognition Challenge
  8. Practical Bayesian Optimization of Machine Learning Algorithms
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers