Scott A. Mahlke

Computer Vision and Pattern Recognition · 2010–2017

A researcher in the Science corpus: 3 papers; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 24 citations into it
• Electrical and Electronic Engineering — 21 citations into it
• Artificial Intelligence — 19 citations into it
• Computer Networks and Communications — 16 citations into it
• Hardware and Architecture — 13 citations into it
• ML Systems & Hardware — 9 citations into it

Whom Scott A. Mahlke trusts overall

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

1. Shekhar Y. Borkar
2. Shubhendu S. Mukherjee

Papers from Scott A. Mahlke's perspective

Ordered by how strongly the researchers Scott A. Mahlke 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. Caffe: Convolutional Architecture for Fast Feature Embedding
3. GradientBased Learning Applied to Document Recognition
4. Improving the speed of neural networks on CPUs
5. ImageNet classification with deep convolutional neural networks
6. Do Deep Nets Really Need to be Deep?
7. Learning both Weights and Connections for Efficient Neural Network
8. Gradient-based learning applied to document recognition
9. Deep Learning with Limited Numerical Precision
10. A systematic methodology to compute the architectural vulnerability factors for a high-performance microprocessor (Proceedings. 36th Annual IEEE/ACM International Symposium on Microarchitecture, 2003. MICRO-36.)

Their papers

• Shoestring: probabilistic soft error reliability on the cheap (2010) — 298 citations
• Scalpel: Customizing DNN pruning to the underlying hardware parallelism (2017) — 105 citations
• COMET: Code Offload by Migrating Execution Transparently (2012) — 435 citations