Tom Finley

Artificial Intelligence · 2014–2015

A researcher in the Science corpus: 2 papers; trusts 10 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 29 citations into it
• Optimization & Training — 19 citations into it
• Computational Mechanics — 6 citations into it

Whom Tom Finley trusts overall

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

1. Shai Shalev-Shwartz
2. Kristin E. Lauter
3. John C. Duchi
4. David J. Wu
5. Tianbao Yang
6. Tong Zhang
7. Valeria Nikolaenko

Who trusts Tom Finley overall

1. Xiangru Lian

Papers from Tom Finley's perspective

Ordered by how strongly the researchers Tom Finley 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. Gradient-based learning applied to document recognition
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Large Scale Distributed Deep Networks
6. Learning Multiple Layers of Features from Tiny Images
7. Long Short-Term Memory
8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
9. ImageNet: A large-scale hierarchical image database
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Crypto-Nets: Neural Networks over Encrypted Data (2014) — 160 citations
• Scaling Up Stochastic Dual Coordinate Ascent (2015) — 31 citations