Troy Raeder

Artificial Intelligence · 2012–2014

A researcher in the Science corpus: 3 papers; trusts 6 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Troy Raeder trusts overall

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

  1. L. Eon Bottou
  2. Leo Breiman
  3. Wei Xu
  4. Masashi Sugiyama
  5. Battista Biggio
  6. Sinno Jialin Pan
  7. Bianca Zadrozny
  8. Joaquin Quionero-Candela
  9. Hui Zou

Who trusts Troy Raeder overall

  1. Mingxia Liu
  2. Wouter M. Kouw
  3. Kaiyang Zhou
  4. Manuel Eugenio Morocho-Cayamcela

Papers from Troy Raeder's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Adaptive Subgradient Methods for Online Learning and Stochastic Optimization
  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. 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. Learning Multiple Layers of Features from Tiny Images
  10. A Survey on Transfer Learning

Their papers