Davide Rossi
Computer Vision and Pattern Recognition · 2016–2017
A researcher in the Science corpus: 6 papers; trusts 107 researchers and is trusted by 1 researcher here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 62 citations into it
- Artificial Intelligence — 34 citations into it
- Electrical and Electronic Engineering — 22 citations into it; #13,938 of 16,539 by trust here, #10,438 by citations
- Efficiency & Compression — 21 citations into it
- Model Architectures — 11 citations into it
- ML Systems & Hardware — 9 citations into it
- Optimization & Training — 7 citations into it
Whom Davide Rossi trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Matthieu Courbariaux
- Yoshua Bengio
- Alex Krizhevsky
- Geoffrey E. Hinton
- Yann LeCun
- Karen Simonyan
- Ilya Sutskever
- Clément Farabet
- Kaiming He
- Andrew Zisserman
Who trusts Davide Rossi overall
Papers from Davide Rossi's perspective
Ordered by how strongly the researchers Davide Rossi 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
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Attention is All you Need (Neural Information Processing Systems)
- Learning Multiple Layers of Features from Tiny Images
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Going deeper with convolutions
Their papers
- YodaNN: An Architecture for Ultralow Power Binary-Weight CNN Acceleration (2016) — 218 citations
- Enabling the heterogeneous accelerator model on ultra-low power microcontroller platforms (2016) — 24 citations
- A near-threshold RISC-V core with DSP extensions for scalable IoT Endpoint Devices (2016) — 409 citations
- An IoT Endpoint System-on-Chip for Secure and Energy-Efficient Near-Sensor Analytics (2016) — 122 citations
- μDMA: An autonomous I/O subsystem for IoT end-nodes (2017) — 23 citations
- YodaNN: An Ultra-Low Power Convolutional Neural Network Accelerator Based on Binary Weights (2016) — 203 citations