N. Zhang
Artificial Intelligence · with Darrell · 2014
A researcher in the Science corpus: 1 paper; trusts 37 researchers and is trusted by 277 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 22 citations into it; #4,540 of 35,345 by trust here, #3,783 by citations
- Computer Vision and Pattern Recognition — 22 citations into it; #2,385 of 21,575 by trust here, #2,872 by citations
- Representation & Self-Supervised Learning — 18 citations into it; #715 of 3,145 by trust here, #515 by citations
Whom N. Zhang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Hal Daumé Iii
- Antonio Torralba
- Alex Krizhevsky
- Yann LeCun
- Geoffrey E. Hinton
- Sumit Chopra
- Kate Saenko
- Ross B. Girshick
- Yoshua Bengio
- Ilya Sutskever
Who trusts N. Zhang overall
- Kuniaki Saito
- Mingsheng Long
- Kate Saenko
- Xingchao Peng
- Jindong Wang
- Zhangjie Cao
- Baochen Sun
- Jianmin Wang
- Mei Wang
- Gabriella Csurka
Papers from N. Zhang's perspective
Ordered by how strongly the researchers N. Zhang 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
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Deep Domain Confusion: Maximizing for Domain Invariance (2014) — 2,889 citations