Nicholas A. Ketz
Cognitive Neuroscience · 2014–2022
A researcher in the Science corpus: 5 papers; trusts 17 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Cognitive Neuroscience — 72 citations into it
- Artificial Intelligence — 60 citations into it
- Cellular and Molecular Neuroscience — 54 citations into it
- Neuroscience — 36 citations into it
- Computer Vision and Pattern Recognition — 33 citations into it
- Representation & Self-Supervised Learning — 25 citations into it
Whom Nicholas A. Ketz trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Erkki Oja
- Friedemann Zenke
- João Carreira
- Geoffrey E. Hinton
- Joseph Redmon
- Andrew Zisserman
- Jianming Zhang
- Alex Krizhevsky
- Alex Graves
- Kaiming He
Who trusts Nicholas A. Ketz overall
Papers from Nicholas A. Ketz's perspective
Ordered by how strongly the researchers Nicholas A. Ketz 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
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet Large Scale Visual Recognition Challenge
- Going deeper with convolutions
- Learning Multiple Layers of Features from Tiny Images
Their papers
- Attention-Based Structural-Plasticity (2019) — 12 citations
- Biological underpinnings for lifelong learning machines (2022) — 294 citations
- Attention-Based Structural-Plasticity (2019)
- Thalamic pathways underlying prefrontal cortex-medial temporal lobe oscillatory interactions. (2015)
- Complementary Learning Systems (2014) — 287 citations