Alexandra Peste
Computer Vision and Pattern Recognition · 2021
A researcher in the Science corpus: 2 papers; trusts 138 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 39 citations into it; #16,229 of 21,575 by trust here, #12,992 by citations
- Artificial Intelligence — 31 citations into it; #26,492 of 35,345 by trust here, #19,439 by citations
- Efficiency & Compression — 22 citations into it; #941 of 1,264 by trust here, #987 by citations
- Radiology, Nuclear Medicine and Imaging — 6 citations into it
Whom Alexandra Peste trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Krizhevsky
- Kaiming He
- Yann LeCun
- Geoffrey E. Hinton
- Yoshua Bengio
- X. Zhang
- Ross B. Girshick
- Diederik P. Kingma
- Shaoqing Ren
- Karen Simonyan
Who trusts Alexandra Peste overall
Papers from Alexandra Peste's perspective
Ordered by how strongly the researchers Alexandra Peste 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)
- ImageNet: A large-scale hierarchical image database
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- ImageNet Large Scale Visual Recognition Challenge
- Learning Multiple Layers of Features from Tiny Images
- Long Short-Term Memory
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- Sparsity in Deep Learning: Pruning and growth for efficient inference and training in neural networks (2021) — 986 citations
- How Well Do Sparse ImageNet Models Transfer? (2021) — 53 citations