Fabio Tanaka
Artificial Intelligence · 2019
A researcher in the Science corpus: 1 paper; trusts 14 researchers and is trusted by 6 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 7 citations into it; #18,429 of 35,345 by trust here, #27,551 by citations
- Computer Vision and Pattern Recognition — 5 citations into it; #11,623 of 21,575 by trust here, #17,757 by citations
- Generative Models — 5 citations into it; #1,068 of 1,956 by trust here, #1,748 by citations
Whom Fabio Tanaka trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Jost Tobias Springenberg
- Individualized Treat
- Guillaume Lemaitre
- Nitesh V. Chawla
- Haibo He
- Giovanni Mariani
- Maayan Frid-Adar
- Jinsung Yoon
- Fernando Nogueira
- Kevin W. Bowyer
Who trusts Fabio Tanaka overall
- Vinay Uday Prabhu
- Nandan Thakur
- William S. Peebles
- Ateret Anaby-Tavor
- Abeba Birhane
- Nils Reimers
- Jun-Yan Zhu
- Boaz Carmeli
- Johannes Daxenberger
Papers from Fabio Tanaka's perspective
Ordered by how strongly the researchers Fabio Tanaka trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- GENERATIVE ADVERSARIAL NETS
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- 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
- Going deeper with convolutions
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
Their papers
- Data Augmentation Using GANs (2019) — 234 citations