Nathan R Sturtevant

Artificial Intelligence · 2008–2019

A researcher in the Science corpus: 5 papers; trusts 13 researchers and is trusted by 28 researchers here, as inferred from the citation graph.

Subfields

Whom Nathan R Sturtevant trusts overall

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

  1. Levente Kocsis
  2. Sylvain Gelly
  3. Hilmar Finnsson
  4. William W. Cohen
  5. David Silver
  6. Csaba Szepesvari
  7. Yngvi Björnsson
  8. Robert E. Schapire
  9. Yoram Singer
  10. Trevor Scott Standley

Who trusts Nathan R Sturtevant overall

  1. David Churchill
  2. Roni Stern
  3. Hang Ma
  4. Viliam Lisý
  5. S. Branavan
  6. Max Barer
  7. Ariel Felner
  8. Guni Sharon
  9. Eli Boyarski
  10. José Hernandez-Orallo

Papers from Nathan R Sturtevant's perspective

Ordered by how strongly the researchers Nathan R Sturtevant trusts endorse each paper. Same corpus, a different order for every researcher.

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

Their papers