Sylvia J. Smullin
Artificial Intelligence · 2002–2021
A researcher in the Science corpus: 6 papers; trusts 272 researchers and is trusted by 4 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 91 citations into it
- Computer Vision and Pattern Recognition — 84 citations into it
- Optimization & Training — 17 citations into it
- Representation & Self-Supervised Learning — 17 citations into it
- Safety, Robustness & Interpretability — 14 citations into it
- Model Architectures — 10 citations into it
- Probabilistic & Bayesian Methods — 10 citations into it
- Electrical and Electronic Engineering — 8 citations into it
Whom Sylvia J. Smullin trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Krizhevsky
- Geoffrey E. Hinton
- Kaiming He
- Diederik P. Kingma
- Ilya Sutskever
- Yoshua Bengio
- Yann LeCun
- Ekin Dogus Cubuk
- Christian Szegedy
- Ross B. Girshick
Who trusts Sylvia J. Smullin overall
Papers from Sylvia J. Smullin's perspective
Ordered by how strongly the researchers Sylvia J. Smullin 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)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- 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
- Affinity and Diversity: Quantifying Mechanisms of Data Augmentation (2020) — 87 citations
- Autonomous experimentation systems for materials development: A community perspective (2021) — 311 citations
- A low-noise ferrite magnetic shield (2007) — 233 citations
- Tradeoffs in Data Augmentation: An Empirical Study (2021) — 72 citations
- Improved constraints on non-Newtonian forces at 10 microns (2008) — 168 citations
- New experimental constraints on non-newtonian forces below 100 μm (2002) — 170 citations