David Mascharka

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 97 researchers and is trusted by 10 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 32 citations into it; #9,395 of 21,575 by trust here, #10,905 by citations
• Artificial Intelligence — 29 citations into it; #14,607 of 35,345 by trust here, #16,166 by citations
• Natural Language Processing — 8 citations into it

Whom David Mascharka trusts overall

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

1. Diederik P. Kingma
2. Kaiming He
3. Geoffrey E. Hinton
4. Alex Krizhevsky
5. Yoshua Bengio
6. Jimmy Ba
7. Ilya Sutskever
8. Ross B. Girshick
9. Yann LeCun
10. Justin Johnson

Who trusts David Mascharka overall

1. Jiayuan Mao
2. Drew A. Hudson
3. Ben Zion Vatashsky
4. Yichen Jiang
5. Chuang Gan
6. Robik Shrestha
7. Jiajun Wu
8. Kexin Yi
9. Ronghang Hu
10. Mateusz Malinowski

Papers from David Mascharka's perspective

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

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Long Short-Term Memory
5. Attention is All you Need (Neural Information Processing Systems)
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• Transparency by Design: Closing the Gap Between Performance and Interpretability in Visual Reasoning (2018) — 224 citations