Bob Adolf

Computer Vision and Pattern Recognition · 2017

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

Subfields

• Computer Vision and Pattern Recognition — 9 citations into it; #20,627 of 21,575 by trust here, #19,310 by citations

Whom Bob Adolf trusts overall

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

1. Yann LeCun
2. David John Cameron MacKay
3. Karen Simonyan
4. Michael M. Mitzenmacher
5. Geoffrey E. Hinton

Who trusts Bob Adolf overall

1. Georgios Georgiadis

Papers from Bob Adolf's perspective

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

1. Gradient-based learning applied to document recognition
2. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
3. ImageNet Large Scale Visual Recognition Challenge
4. ImageNet classification with deep convolutional neural networks
5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
6. Distilling the Knowledge in a Neural Network (arXiv.org)
7. Long Short-Term Memory
8. Learning Multiple Layers of Features from Tiny Images
9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
10. ImageNet: A large-scale hierarchical image database

Their papers

• Weightless: Lossy Weight Encoding For Deep Neural Network Compression (2017) — 42 citations