Alexander Mordvintsev

Computer Vision and Pattern Recognition · with Olah · 2015–2018

A researcher in the Science corpus: 3 papers; trusts 3 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 32 citations into it; #13,221 of 21,575 by trust here, #4,988 by citations
• Representation & Self-Supervised Learning — 7 citations into it
• Signal Processing — 7 citations into it

Whom Alexander Mordvintsev trusts overall

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

1. L. V. D. van der Maaten
2. Geoffrey E. Hinton
3. Nicola Pezzotti
4. Yann LeCun
5. Marius Muja
6. Sanjoy Dasgupta
7. Leland McInnes
8. J. Kiefer
9. Wei Dong
10. David G. Lowe

Who trusts Alexander Mordvintsev overall

1. Colin Raffel
2. Wojciech Samek
3. Grgoire Montavon
4. Hongxu Yin
5. Anh Totti Nguyen
6. Aravindh Mahendran
7. David Belanger
8. Lin Wang
9. Dar Gilboa
10. Nathan E. West

Papers from Alexander Mordvintsev's perspective

Ordered by how strongly the researchers Alexander Mordvintsev 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. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. Attention is All you Need (Neural Information Processing Systems)
7. Learning Multiple Layers of Features from Tiny Images
8. Visualizing Data using t-SNE
9. ImageNet: A large-scale hierarchical image database
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Inceptionism: Going Deeper into Neural Networks (2015) — 838 citations
• The Building Blocks of Interpretability (2018) — 735 citations
• Linear tSNE optimization for the Web (2018) — 10 citations