Pritish Narayanan
Artificial Intelligence · 2014–2018
A researcher in the Science corpus: 5 papers; trusts 9 researchers and is trusted by 55 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 21 citations into it; #4,595 of 35,345 by trust here, #2,723 by citations
- Computer Vision and Pattern Recognition — 19 citations into it
- Optimization & Training — 12 citations into it
Whom Pritish Narayanan trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Pritish Narayanan overall
- Markus Nagel
- Mohammad Mohammadi Amiri
- Ahmed Khaled
- Md Maruf Hossain Shuvo
- Tim Dettmers
- Georgios Georgiadis
- Yunhui Guo
- Jia-Nan Wu
- Yu Cheng
- Deniz Gündüz
Papers from Pritish Narayanan's perspective
Ordered by how strongly the researchers Pritish Narayanan trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Learning Multiple Layers of Features from Tiny Images
- Gradient-based learning applied to document recognition
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Going deeper with convolutions
Their papers
- Deep Learning with Limited Numerical Precision (2015) — 2,190 citations
- Experimental demonstration and tolerancing of a large-scale neural network (165,000 synapses), using phase-change memory as the synaptic weight element (2015) — 724 citations
- Neuromorphic computing using non-volatile memory (2017) — 1,066 citations
- Access devices for 3D crosspoint memorya) (2014) — 329 citations
- Equivalent-accuracy accelerated neural-network training using analogue memory (2018) — 974 citations