Patricia J. Riddle
Artificial Intelligence · 2020–2022
A researcher in the Science corpus: 2 papers; trusts 119 researchers and is trusted by 1 researcher here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 71 citations into it; #33,088 of 35,345 by trust here, #32,362 by citations
- Computer Vision and Pattern Recognition — 41 citations into it
- Representation & Self-Supervised Learning — 28 citations into it
- Meta & Continual Learning — 26 citations into it
- Reinforcement Learning — 9 citations into it
- Statistical Learning Theory — 8 citations into it
- Computational Mechanics — 5 citations into it
Whom Patricia J. Riddle trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Mark B. Ring
- Geoffrey E. Hinton
- Yoshua Bengio
- Alex Krizhevsky
- Diederik P. Kingma
- Yann LeCun
- Gido M. van de Ven
- Yuhai Wu
- Vladimir Naumovich Vapnik
- Kaiming He
Who trusts Patricia J. Riddle overall
Papers from Patricia J. Riddle's perspective
Ordered by how strongly the researchers Patricia J. Riddle 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
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- ImageNet Large Scale Visual Recognition Challenge
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- A Theory for Knowledge Transfer in Continual Learning (2022) — 23 citations
- Towards Knowledgeable Supervised Lifelong Learning Systems (2020) — 11 citations