Paul A. Merolla

Computer Vision and Pattern Recognition · 2011–2016

A researcher in the Science corpus: 7 papers; trusts 25 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 39 citations into it
• Artificial Intelligence — 31 citations into it
• Optimization & Training — 16 citations into it
• Efficiency & Compression — 13 citations into it
• Representation & Self-Supervised Learning — 7 citations into it

Whom Paul A. Merolla trusts overall

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

1. Geoffrey E. Hinton
2. Yoshua Bengio
3. Alex Krizhevsky
4. Yann LeCun
5. Matthieu Courbariaux
6. Diederik P. Kingma
7. Andrea Vedaldi
8. Ilya Sutskever
9. Jimmy Ba
10. Kaiming He

Who trusts Paul A. Merolla overall

1. Peter U. Diehl
2. Michael Pfeiffer
3. Shimeng Yu
4. Garrick Orchard
5. Sumit Bam Shrestha
6. Steven K. Esser
7. Shuangchen Li
8. Bodo Rueckauer
9. Matthew Cook
10. Junhaeng Lee

Papers from Paul A. Merolla's perspective

Ordered by how strongly the researchers Paul A. Merolla 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. Long Short-Term Memory
6. Attention is All you Need (Neural Information Processing Systems)
7. Learning Multiple Layers of Features from Tiny Images
8. ImageNet: A large-scale hierarchical image database
9. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• Deep neural networks are robust to weight binarization and other non-linear distortions (2016) — 97 citations
• Convolutional networks for fast, energy-efficient neuromorphic computing (2016) — 763 citations
• A million spiking-neuron integrated circuit with a scalable communication network and interface (2014) — 3,922 citations
• Neurogrid: A Mixed-Analog-Digital Multichip System for Large-Scale Neural Simulations (2014) — 1,126 citations
• A digital neurosynaptic core using embedded crossbar memory with 45pJ per spike in 45nm (2011) — 448 citations
• TrueNorth: Design and Tool Flow of a 65 mW 1 Million Neuron Programmable Neurosynaptic Chip (2015) — 1,575 citations
• Backpropagation for Energy-Efficient Neuromorphic Computing (2015) — 328 citations