Andrea Tacchetti

Computer Vision and Pattern Recognition · with Anselmi · 2013–2016

A researcher in the Science corpus: 3 papers; trusts 15 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 46 citations into it; #14,788 of 21,575 by trust here, #10,500 by citations
• Cognitive Neuroscience — 30 citations into it; #6,469 of 10,852 by trust here, #4,528 by citations
• Representation & Self-Supervised Learning — 26 citations into it
• Artificial Intelligence — 18 citations into it
• Model Architectures — 16 citations into it
• Neuroscience — 8 citations into it

Whom Andrea Tacchetti trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Stéphane Mallat
2. Yann LeCun
3. Alex Krizhevsky
4. Nuo Li
5. Tomaso A. Poggio
6. Geoffrey E. Hinton
7. Nancy Kanwisher
8. Ilya Sutskever
9. Yoshua Bengio

Who trusts Andrea Tacchetti overall

1. Fabio Anselmi

Papers from Andrea Tacchetti's perspective

Ordered by how strongly the researchers Andrea Tacchetti trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Histograms of oriented gradients for human detection
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Gradient-based learning applied to document recognition
5. ImageNet: A large-scale hierarchical image database
6. Long Short-Term Memory
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. Building high-level features using large scale unsupervised learning
9. Learning methods for generic object recognition with invariance to pose and lighting
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Unsupervised learning of invariant representations with low sample complexity: the magic of sensory cortex or a new framework for machine learning? (2013) — 86 citations
• Unsupervised learning of invariant representations (2016) — 102 citations
• Unsupervised Learning of Invariant Representations in Hierarchical Architectures (2013) — 31 citations