Alex Auvolat

Artificial Intelligence · 2015–2016

A researcher in the Science corpus: 5 papers; trusts 13 researchers and is trusted by 223 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 36 citations into it; #26,895 of 35,345 by trust here, #12,083 by citations
• Computer Vision and Pattern Recognition — 23 citations into it
• Natural Language Processing — 14 citations into it; #391 of 5,688 by trust here, #1,205 by citations
• Model Architectures — 10 citations into it; #135 of 2,278 by trust here, #490 by citations
• Information Retrieval & Search — 9 citations into it
• Information Systems — 5 citations into it

Whom Alex Auvolat trusts overall

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

1. Yoshua Bengio
2. Tomas Mikolov
3. Geoffrey E. Hinton
4. Parikshit Ram
5. Andriy Mnih
6. Alex Graves
7. Ilya Sutskever
8. Anshumali Shrivastava
9. Xavier Glorot
10. Michael U Gutmann

Who trusts Alex Auvolat overall

1. Yoshua Bengio
2. William Chan
3. Ronan Collobert
4. Quoc V. Le
5. Shinji Watanabe
6. Alexei Baevski
7. Gabriel Synnaeve
8. Kyunghyun Cho
9. Oriol Vinyals
10. Bo Li

Papers from Alex Auvolat's perspective

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

Their papers

• TorchCraft: a Library for Machine Learning Research on Real-Time Strategy Games (2016) — 112 citations
• Connectionist Temporal Classification: Labelling Unsegmented Sequences with Recurrent Neural Networks (2016)
• Diet Networks: Thin Parameters for Fat Genomic (2016) — 79 citations
• Clustering is Efficient for Approximate Maximum Inner Product Search (2015) — 47 citations
• Artificial Neural Networks Applied to Taxi Destination Prediction (2015) — 197 citations