Lasse F. Wolff Anthony

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 16 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 10 citations into it; #17,191 of 35,345 by trust here, #22,463 by citations
• Computer Vision and Pattern Recognition — 7 citations into it; #10,870 of 21,575 by trust here, #14,822 by citations

Whom Lasse F. Wolff Anthony trusts overall

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

1. Diederik P. Kingma
2. James Bergstra
3. Yoshua Bengio
4. Jasper Snoek
5. Olaf Ronneberger
6. Jimmy Ba
7. Emma Strubell
8. Tien-Ju Yang
9. Geoffrey E. Hinton
10. Hugo Larochelle

Who trusts Lasse F. Wolff Anthony overall

1. Aimee van Wynsberghe
2. Anne-Laure Ligozat
3. Alexandra Sasha Luccioni
4. Roberto Verdecchia
5. E. J. Husom
6. Omar Shaikh
7. Jesse Dodge
8. S. Viguier
9. June Sallou
10. Arda Goknil

Papers from Lasse F. Wolff Anthony's perspective

Ordered by how strongly the researchers Lasse F. Wolff Anthony 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Gradient-based learning applied to document recognition
5. Attention is All you Need (Neural Information Processing Systems)
6. Long Short-Term Memory
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. Going deeper with convolutions
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Carbontracker: Tracking and Predicting the Carbon Footprint of Training Deep Learning Models (2020) — 433 citations