Jonathan M. Cohen
with Catanzaro · 2014
A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 21 researchers here, as inferred from the citation graph.
Whom Jonathan M. Cohen trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Jonathan M. Cohen overall
Papers from Jonathan M. Cohen's perspective
Ordered by how strongly the researchers Jonathan M. Cohen trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Gradient-based learning applied to document recognition
- Going deeper with convolutions
- OverFeat: Integrated Recognition, Localization and Detection using Convolutional Networks
- Caffe: Convolutional Architecture for Fast Feature Embedding
- Torch7: A Matlab-like Environment for Machine Learning
- Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Four Research Groups
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Context-Dependent Pre-Trained Deep Neural Networks for Large-Vocabulary Speech Recognition
- Attention is All you Need (Neural Information Processing Systems)
Their papers
- cuDNN: Efficient Primitives for Deep Learning (2014) — 1,991 citations