Les E. Atlas

Model Architectures · 1987–2016

A researcher in the Science corpus: 8 papers; trusts 21 researchers and is trusted by 42 researchers here, as inferred from the citation graph.

Subfields

• Model Architectures — 25 citations into it
• Computer Vision and Pattern Recognition — 14 citations into it
• Artificial Intelligence — 13 citations into it
• Optimization & Training — 9 citations into it
• Computational Mechanics — 7 citations into it
• Signal Processing — 5 citations into it

Whom Les E. Atlas trusts overall

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

1. David E. Rumelhart
2. Ronald J. Williams
3. Geoffrey E. Hinton
4. Leslie G. Valiant
5. Timur Ash
6. Yoshua Bengio
7. Yann LeCun
8. David Haussler
9. Eric B. Baum
10. Robert Tibshirani

Who trusts Les E. Atlas overall

1. Maria-Florina Balcan
2. Sanjoy Dasgupta
3. Prem Melville
4. Steve Hanneke
5. Burr Settles
6. Gökhan Tür
7. Ran El-Yaniv
8. Hema Raghavan
9. Kasun Bandara
10. Roberto Navigli

Papers from Les E. Atlas's perspective

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

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. Long Short-Term Memory
3. ImageNet classification with deep convolutional neural networks
4. Gradient-based learning applied to document recognition
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Attention is All you Need (Neural Information Processing Systems)
7. Learning Multiple Layers of Features from Tiny Images
8. Rectified Linear Units Improve Restricted Boltzmann Machines
9. ImageNet: A large-scale hierarchical image database
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Full-Capacity Unitary Recurrent Neural Networks (2016) — 332 citations
• Interpretable Recurrent Neural Networks Using Sequential Sparse Recovery (2016) — 37 citations
• Improving Generalization with Active Learning (1994)
• Recurrent neural networks and robust time series prediction (1994)
• Recurrent Networks and NARMA Modeling (1991)
• Electric load forecasting using an artificial neural network (1991)
• An Artificial Neural Network for Spatio-Temporal Bipolar Patterns: Application to Phoneme Classification (1987)
• An artificial neural network for spatiotemporal: application to phoneme classification (1987)