E. P. Frady

Model Architectures · 2009–2020

A researcher in the Science corpus: 2 papers; trusts 3 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Model Architectures — 6 citations into it
• Representation & Self-Supervised Learning — 6 citations into it

Whom E. P. Frady trusts overall

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

1. Pentti Kanerva
2. Ross W. Gayler
3. John J. Hopfield
4. Geoffrey E. Hinton
5. Tony A. Plate
6. Richard Socher
7. Maximilian Nickel
8. Ashish Vaswani
9. Yann LeCun
10. Paul Smolensky

Who trusts E. P. Frady overall

1. Ali Borji
2. Juan Xu

Papers from E. P. Frady's perspective

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

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

Their papers

• Faces and text attract gaze independent of the task: Experimental data and computer model. (2009) — 419 citations
• Resonator Networks, 1: An Efficient Solution for Factoring High-Dimensional, Distributed Representations of Data Structures (2020) — 81 citations