Davide Zoccolan
Cognitive Neuroscience · 2005–2019
A researcher in the Science corpus: 4 papers; trusts 69 researchers and is trusted by 20 researchers here, as inferred from the citation graph.
Subfields
- Cognitive Neuroscience — 69 citations into it; #1,673 of 10,852 by trust here, #1,811 by citations
- Computer Vision and Pattern Recognition — 35 citations into it
- Neuroscience — 23 citations into it; #219 of 487 by trust here, #148 by citations
- Artificial Intelligence — 21 citations into it
- Representation & Self-Supervised Learning — 18 citations into it
- Cellular and Molecular Neuroscience — 16 citations into it
- Model Architectures — 7 citations into it
- Biophysics — 6 citations into it
Whom Davide Zoccolan trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Maximilian Riesenhuber
- David J. Heeger
- Tomaso A. Poggio
- Odelia Schwartz
- Thomas Serre
- Matteo Carandini
- Eero P. Simoncelli
- Barbara Olshausen
- Charles G. Gross
- Kunihiko Fukushima
Who trusts Davide Zoccolan overall
- Nicole C. Rust
- James J. DiCarlo
- Daniel L. K. Yamins
- Jeremy Freeman
- Shawn R. Olsen
- Minjoon Kouh
- Thomas Serre
- David J. Heeger
- Matteo Carandini
- Jorie Koster-Hale
Papers from Davide Zoccolan's perspective
Ordered by how strongly the researchers Davide Zoccolan trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Going deeper with convolutions
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Intrinsic dimension of data representations in deep neural networks (2019) — 425 citations
- How does the brain solve visual object recognition? (2012) — 1,895 citations
- Trade-Off between Object Selectivity and Tolerance in Monkey Inferotemporal Cortex (2007) — 172 citations
- Multiple Object Response Normalization in Monkey Inferotemporal Cortex (2005) — 230 citations