A. D. Sá
Artificial Intelligence · 2017–2018
A researcher in the Science corpus: 2 papers; trusts 18 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 15 citations into it; #27,337 of 35,345 by trust here, #23,077 by citations
- Optimization & Training — 6 citations into it
- Computational Theory and Mathematics — 5 citations into it
- Evaluation & Benchmarks — 5 citations into it
- Neural Architecture Search & AutoML — 5 citations into it
Whom A. D. Sá trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Jaka Demsar
- Frank Hutter
- Jesse Read
- Matthias Feurer
- Chris J. Thornton
- Grigorios Tsoumakas
- Jost Tobias Springenberg
- Aaron Klein
- Randal S. Olson
- Fabian Pedregosa
Who trusts A. D. Sá overall
- Radwa El Shawi
- Felix Mohr
- Silvia Nunes das Dôres
- Matthias Feurer
- Mohamed Maher
- Marcel Wever
- Marc-André Zöller
- Alex Alves Freitas
- Carlos Soares
- Sherif Sakr
Papers from A. D. Sá's perspective
Ordered by how strongly the researchers A. D. Sá trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Learning Multiple Layers of Features from Tiny Images
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- ImageNet: A large-scale hierarchical image database
- Scikit-learn: Machine Learning in Python