Uri Maoz

Cognitive Neuroscience · 2009–2020

A researcher in the Science corpus: 3 papers; trusts 13 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Cognitive Neuroscience — 20 citations into it
• Artificial Intelligence — 16 citations into it
• Computer Vision and Pattern Recognition — 15 citations into it
• Generative Models — 8 citations into it
• Experimental and Cognitive Psychology — 6 citations into it
• Optimization & Training — 6 citations into it

Whom Uri Maoz trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Diederik P. Kingma
2. Nathalie Japkowicz
3. Geoffrey E. Hinton
4. Yann LeCun
5. Alex Krizhevsky
6. Wei-Long Zheng
7. Yoshua Bengio
8. Max Welling
9. Nitish Srivastava

Papers from Uri Maoz's perspective

Ordered by how strongly the researchers Uri Maoz trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Gradient-based learning applied to document recognition
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. Auto-Encoding Variational Bayes (International Conference on Learning Representations)
7. Attention is All you Need (Neural Information Processing Systems)
8. ImageNet: A large-scale hierarchical image database
9. ImageNet Large Scale Visual Recognition Challenge
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Data Augmentation for Deep-Learning-Based Electroencephalography. (2020) — 351 citations
• Theta-burst microstimulation in the human entorhinal area improves memory specificity (2017)
• Three-dimensional arm movements at constant equi-affine speed. (2009) — 48 citations