Pedro H. P. Savarese
Artificial Intelligence · 2016–2019
A researcher in the Science corpus: 4 papers; trusts 425 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 95 citations into it; #27,885 of 35,345 by trust here, #18,586 by citations
- Computer Vision and Pattern Recognition — 65 citations into it; #17,118 of 21,575 by trust here, #18,266 by citations
- Optimization & Training — 51 citations into it
- Model Architectures — 38 citations into it
- Scaling & Learning Theory — 24 citations into it
- Computational Mechanics — 17 citations into it
- Efficiency & Compression — 16 citations into it
- Management Science and Operations Research — 8 citations into it
Whom Pedro H. P. Savarese trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Krizhevsky
- Kaiming He
- Yoshua Bengio
- Yann LeCun
- Diederik P. Kingma
- Geoffrey E. Hinton
- Karen Simonyan
- X. Zhang
- Ilya Sutskever
- Ross B. Girshick
Who trusts Pedro H. P. Savarese overall
Papers from Pedro H. P. Savarese's perspective
Ordered by how strongly the researchers Pedro H. P. Savarese 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
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- 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)
- Learning Multiple Layers of Features from Tiny Images
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Winning the Lottery with Continuous Sparsification (2019) — 160 citations
- Kernel and Rich Regimes in Overparametrized Models (2019) — 437 citations
- Domain-Independent Dominance of Adaptive Methods (2019) — 23 citations
- Learning Identity Mappings with Residual Gates (2016) — 10 citations