Liane Bernstein

Electrical and Electronic Engineering · 2018

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Electrical and Electronic Engineering — 24 citations into it
• Artificial Intelligence — 19 citations into it
• Computer Vision and Pattern Recognition — 10 citations into it
• Atomic and Molecular Physics, and Optics — 7 citations into it

Whom Liane Bernstein trusts overall

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

1. David A. B. Miller
2. Alex Krizhevsky
3. Alexander N. Tait

Papers from Liane Bernstein's perspective

Ordered by how strongly the researchers Liane Bernstein trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Gradient-based learning applied to document recognition
3. ImageNet Large Scale Visual Recognition Challenge
4. Improving neural networks by preventing co-adaptation of feature detectors
5. cuDNN: Efficient Primitives for Deep Learning
6. In-datacenter performance analysis of a tensor processing unit
7. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
8. Long Short-Term Memory
9. Neuromorphic photonic networks using silicon photonic weight banks (Scientific Reports)
10. Going deeper with convolutions

Their papers

• Large-Scale Optical Neural Networks based on Photoelectric Multiplication (2018) — 413 citations