Zalan Fabian
Artificial Intelligence · 2019
A researcher in the Science corpus: 1 paper; trusts 16 researchers and is trusted by 1 researcher here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 43 citations into it; #34,621 of 35,345 by trust here, #27,551 by citations
- Statistical Learning Theory — 27 citations into it; #1,031 of 1,038 by trust here, #893 by citations
- Scaling & Learning Theory — 24 citations into it
- Optimization & Training — 22 citations into it; #2,562 of 2,601 by trust here, #2,215 by citations
- Computer Vision and Pattern Recognition — 10 citations into it
- Statistics and Probability — 9 citations into it
- Model Architectures — 8 citations into it
Whom Zalan Fabian trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Peter L. Bartlett
- Sanjeev Arora
- Andreas Maurer
- Lénaïc Chizat
- Simon Shaolei Du
- Samet Oymak
- Philip M. Long
- Francis R. Bach
- Geoffrey E. Hinton
- Vaishnavh Nagarajan
Who trusts Zalan Fabian overall
Papers from Zalan Fabian's perspective
Ordered by how strongly the researchers Zalan Fabian trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Learning Multiple Layers of Features from Tiny Images
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Long Short-Term Memory
- Understanding deep learning requires rethinking generalization