Guillaume Bernard

Computer Vision and Pattern Recognition · 2013

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 12 citations into it; #21,404 of 21,575 by trust here, #20,271 by citations
• Representation & Self-Supervised Learning — 12 citations into it; #3,116 of 3,145 by trust here, #3,047 by citations

Whom Guillaume Bernard trusts overall

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

1. Josh Tenenbaum
2. Geoffrey E. Hinton
3. Sam T. Roweis
4. Joseph B. Kruskal
5. John C. Gower
6. Mikhail Belkin

Who trusts Guillaume Bernard overall

1. Leland McInnes

Papers from Guillaume Bernard's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Gradient-based learning applied to document recognition
4. A global geometric framework for nonlinear dimensionality reduction.
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Visualizing Data using t-SNE
7. Nonlinear dimensionality reduction by locally linear embedding.
8. Long Short-Term Memory
9. Attention is All you Need (Neural Information Processing Systems)
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Type 1 and 2 mixtures of Kullback-Leibler divergences as cost functions in dimensionality reduction based on similarity preservation (2013) — 102 citations