Benjamin Livshits

Artificial Intelligence · 2005–2019

A researcher in the Science corpus: 9 papers; trusts 46 researchers and is trusted by 26 researchers here, as inferred from the citation graph.

Subfields

Whom Benjamin Livshits trusts overall

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

  1. Rakesh Agrawal
  2. Dawson R. Engler
  3. Jinlin Yang
  4. Thomas Zimmermann
  5. Nicholas Nethercote
  6. John Whaley
  7. Yao-Wen Huang
  8. Glenn Ammons
  9. Annie T. T. Ying
  10. Michael C. Martin

Who trusts Benjamin Livshits overall

  1. Tao Xie
  2. Ravi Mangal
  3. Zhendong Su
  4. William G. J. Halfond
  5. Seyed Mohammad Ghaffarian
  6. Aditya V. Nori
  7. Premkumar T. Devanbu
  8. Gary Wassermann
  9. Vijayaraghavan Murali
  10. Jian Pei

Papers from Benjamin Livshits's perspective

Ordered by how strongly the researchers Benjamin Livshits 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. Learning Multiple Layers of Features from Tiny Images
  6. Long Short-Term Memory
  7. Attention is All you Need (Neural Information Processing Systems)
  8. ImageNet: A large-scale hierarchical image database
  9. Checking system rules using system-specific, programmer-written compiler extensions (USENIX Symposium on Operating Systems Design and Implementation)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers