Federico Landini
Artificial Intelligence · 2020
A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 16 citations into it; #22,647 of 35,345 by trust here, #25,809 by citations
- Speech & Audio — 15 citations into it; #709 of 1,076 by trust here, #900 by citations
- Signal Processing — 14 citations into it; #4,673 of 7,572 by trust here, #5,086 by citations
Whom Federico Landini trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Radford M. Neal
- Patrick Kenny
- Matthew J. Beal
- Joon Son Chung
- Arsha Nagrani
- Andrew Zisserman
- Jiankang Deng
- Kaiming He
- David Snyder
- Daniel Garcia-Romero
Who trusts Federico Landini overall
- Hervé Bredin
- Shota Horiguchi
- Shinji Watanabe
- Tae Jin Park
- Antoine Laurent
- Yihui Fu
- Mirco Ravanelli
- Leibny Paola García-Perera
- Yusuke Fujita
- Alexis Plaquet
Papers from Federico Landini's perspective
Ordered by how strongly the researchers Federico Landini 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
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Adam: A Method for Stochastic Optimization (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
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Gradient-based learning applied to document recognition
- Going deeper with convolutions