Aaron Maschinot
Computer Vision and Pattern Recognition · 2018–2020
A researcher in the Science corpus: 3 papers; trusts 236 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 95 citations into it; #16,424 of 21,575 by trust here, #3,558 by citations
- Artificial Intelligence — 51 citations into it; #33,831 of 35,345 by trust here, #5,600 by citations
- Representation & Self-Supervised Learning — 32 citations into it; #2,982 of 3,145 by trust here, #755 by citations
- Generative Models — 19 citations into it
- Optimization & Training — 18 citations into it
- Model Architectures — 9 citations into it
Whom Aaron Maschinot trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Diederik P. Kingma
- Alex Krizhevsky
- Kaiming He
- Yoshua Bengio
- Yann LeCun
- Alexei A. Efros
- Ross B. Girshick
- Ilya Sutskever
- Karen Simonyan
Who trusts Aaron Maschinot overall
Papers from Aaron Maschinot's perspective
Ordered by how strongly the researchers Aaron Maschinot 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)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Learning Multiple Layers of Features from Tiny Images
- ImageNet Large Scale Visual Recognition Challenge
- GENERATIVE ADVERSARIAL NETS
Their papers
- Supervised Contrastive Learning (2020) — 6,562 citations
- Boundless: Generative Adversarial Networks for Image Extension (2019) — 131 citations
- Unsupervised Training for 3D Morphable Model Regression (2018) — 326 citations