Tor M. Aamodt
Hardware and Architecture · 2007–2023
A researcher in the Science corpus: 8 papers; trusts 41 researchers and is trusted by 5 researchers here, as inferred from the citation graph.
Subfields
- Hardware and Architecture — 53 citations into it; #698 of 1,551 by trust here, #359 by citations
- Computer Networks and Communications — 42 citations into it; #5,218 of 9,886 by trust here, #2,687 by citations
- Computer Vision and Pattern Recognition — 37 citations into it
- Artificial Intelligence — 25 citations into it
- Electrical and Electronic Engineering — 13 citations into it
- Information Systems — 5 citations into it
Whom Tor M. Aamodt trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Ali Bakhoda
- Shuai Che
- Alex Krizhevsky
- Wilson W. L. Fung
- Yann LeCun
- Yoshua Bengio
- Geoffrey E. Hinton
- George L. Yuan
- Erik Lindholm
- Henry Wong
Who trusts Tor M. Aamodt overall
Papers from Tor M. Aamodt's perspective
Ordered by how strongly the researchers Tor M. Aamodt trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Gradient-based learning applied to document recognition
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Going deeper with convolutions
- ImageNet Large Scale Visual Recognition Challenge
- Long Short-Term Memory
- Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
Their papers
- Reduced-Precision Strategies for Bounded Memory in Deep Neural Nets (2015) — 103 citations
- Analyzing Machine Learning Workloads Using a Detailed GPU Simulator (2018) — 83 citations
- RETROSPECTIVE: Cnvlutin: Ineffectual-Neuron-Free Deep Neural Network Computing (2023)
- Accel-Sim: An Extensible Simulation Framework for Validated GPU Modeling (2018) — 395 citations
- GPUWattch: enabling energy optimizations in GPGPUs (2013) — 611 citations
- Cache-Conscious Wavefront Scheduling (2012) — 422 citations
- Analyzing CUDA workloads using a detailed GPU simulator (2009) — 1,701 citations
- Dynamic Warp Formation and Scheduling for Efficient GPU Control Flow (2007) — 542 citations