Giulio Gambardella
Computer Vision and Pattern Recognition · 2016–2018
A researcher in the Science corpus: 3 papers; trusts 60 researchers and is trusted by 1 researcher here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 73 citations into it; #20,587 of 21,575 by trust here, #11,286 by citations
- Artificial Intelligence — 48 citations into it; #33,738 of 35,345 by trust here, #19,018 by citations
- Efficiency & Compression — 33 citations into it
- Electrical and Electronic Engineering — 29 citations into it; #15,025 of 16,539 by trust here, #8,038 by citations
- Model Architectures — 12 citations into it
Whom Giulio Gambardella trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Krizhevsky
- Geoffrey E. Hinton
- Yann LeCun
- Yoshua Bengio
- Karen Simonyan
- Kaiming He
- Ilya Sutskever
- Matthieu Courbariaux
- Sergey Ioffe
- Andrew Zisserman
Who trusts Giulio Gambardella overall
Papers from Giulio Gambardella's perspective
Ordered by how strongly the researchers Giulio Gambardella 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
- ImageNet: A large-scale hierarchical image database
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Learning Multiple Layers of Features from Tiny Images
- Long Short-Term Memory
- ImageNet Large Scale Visual Recognition Challenge
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
Their papers
- Synetgy: Algorithm-hardware Co-design for ConvNet Accelerators on Embedded FPGAs (2018) — 122 citations
- FINN: A Framework for Fast, Scalable Binarized Neural Network Inference (2016) — 1,186 citations
- FINN-R (2018) — 375 citations