Peter M. Attia

Electrical and Electronic Engineering · 2019–2022

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

Subfields

Whom Peter M. Attia trusts overall

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

  1. Frank Hutter
  2. Gisbert Schneider
  3. Peter Keil
  4. Kang Xu
  5. Matthew D. Hoffman
  6. Tobias Domhan
  7. D. Wood
  8. Aaron Klein
  9. J. C. Burns
  10. Jost Tobias Springenberg

Who trusts Peter M. Attia overall

  1. Billy Wu
  2. D. Roman
  3. Yangtao Liu
  4. Xiaosong Hu
  5. Huai Wang
  6. Widanalage Dhammika Widanage

Papers from Peter M. Attia's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Learning Multiple Layers of Features from Tiny Images
  3. Gradient-based learning applied to document recognition
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  6. Long Short-Term Memory
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  9. Sequential Model-Based Optimization for General Algorithm Configuration
  10. ImageNet: A large-scale hierarchical image database

Their papers