Stephen Tiedemann

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Stephen Tiedemann trusts

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

  1. Alex Krizhevsky (in Computer Vision and Pattern Recognition)
  2. Radford M. Neal (in Computer Vision and Pattern Recognition)
  3. Dimitri P. Bertsekas (in Optimization & Training)

Papers from Stephen Tiedemann's perspective

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

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. Learning Multiple Layers of Features from Tiny Images
  3. ImageNet: A large-scale hierarchical image database
  4. Categorical Reparameterization with Gumbel-Softmax
  5. The Concrete Distribution: A Continuous Relaxation of Discrete Random Variables
  6. Estimating or Propagating Gradients Through Stochastic Neurons for Conditional Computation
  7. Pattern Recognition and Machine Learning
  8. Deep Compression: Compressing Deep Neural Network with Pruning, Trained Quantization and Huffman Coding
  9. MobileNetV2: Inverted Residuals and Linear Bottlenecks
  10. Quantized Neural Networks: Training Neural Networks with Low Precision Weights and Activations

Their papers