Robert J. Hall

Computer Vision and Pattern Recognition · 2014

A researcher in the Science corpus: 1 paper; trusts 10 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 7 citations into it
• Information Systems — 7 citations into it
• Recommender Systems — 6 citations into it

Whom Robert J. Hall trusts overall

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

1. Benjamin M. Marlin
2. David M. Blei
3. Li Fei-Fei
4. Yehuda Koren
5. Gediminas Adomavicius
6. T. Griffiths
7. Michael I. Jordan
8. Pietro Perona
9. Andrew Y. Ng

Papers from Robert J. Hall's perspective

Ordered by how strongly the researchers Robert J. Hall 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. Gradient-based learning applied to document recognition
5. ImageNet: A large-scale hierarchical image database
6. Learning Multiple Layers of Features from Tiny Images
7. Long Short-Term Memory
8. Attention is All you Need (Neural Information Processing Systems)
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. Latent Dirichlet Allocation

Their papers

• Style in the long tail: discovering unique interests with latent variable models in large scale social E-commerce (2014) — 47 citations