Jason Poulos

Artificial Intelligence · 2016

A researcher in the Science corpus: 1 paper; trusts 18 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 13 citations into it; #24,953 of 35,345 by trust here, #34,213 by citations
• Statistics and Probability — 13 citations into it; #9,212 of 12,932 by trust here, #12,077 by citations
• Sociology and Political Science — 8 citations into it
• Optimization & Training — 7 citations into it
• Computer Vision and Pattern Recognition — 5 citations into it

Whom Jason Poulos trusts overall

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

1. Jeffrey C. Schlimmer
2. Tom M. Heskes
3. Matthew D. Zeiler
4. Lyle Ungar
5. Geoffrey E. Hinton
6. Gustavo E. A. P. A. Batista
7. Benjamin E Lauderdale
8. Jasper Snoek
9. L. V. D. van der Maaten
10. Alex Krizhevsky

Who trusts Jason Poulos overall

1. Anil S. Jadhav
2. Nicolas Papernot
3. Dhanya Pramod
4. Martín Abadi
5. Krishnan Ramanathan

Papers from Jason Poulos's perspective

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

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

Their papers

• Missing Data Imputation for Supervised Learning (2016) — 74 citations