Benjamin E Lauderdale
Artificial Intelligence · 2014–2016
A researcher in the Science corpus: 2 papers; trusts 5 researchers and is trusted by 6 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 14 citations into it; #18,461 of 35,345 by trust here, #34,213 by citations
- Evaluation & Benchmarks — 5 citations into it
Whom Benjamin E Lauderdale trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Gregor Heinrich
- T. Griffiths
- Jean-Paul Fox
- Mark Steyvers
- David M. Blei
- Joshua D. Clinton
- Peter Welinder
- Hanna M. Wallach
Who trusts Benjamin E Lauderdale overall
Papers from Benjamin E Lauderdale's perspective
Ordered by how strongly the researchers Benjamin E Lauderdale trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Finding scientific topics
- Cheap and Fast – But is it Good? Evaluating Non-Expert Annotations for Natural Language Tasks
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Learning Multiple Layers of Features from Tiny Images
- ImageNet classification with deep convolutional neural networks
- ImageNet: A large-scale hierarchical image database
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Supervised Topic Models