Parker A. Koch
Computer Vision and Pattern Recognition · 2016
A researcher in the Science corpus: 2 papers; trusts 388 researchers and is trusted by 4 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 60 citations into it; #13,850 of 21,575 by trust here, #16,367 by citations
- Artificial Intelligence — 43 citations into it
- Multimodal Learning — 31 citations into it; #778 of 1,211 by trust here, #1,056 by citations
- Natural Language Processing — 31 citations into it
- Model Architectures — 15 citations into it
- Evaluation & Benchmarks — 8 citations into it
- Optimization & Training — 5 citations into it
Whom Parker A. Koch trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Yoshua Bengio
- Geoffrey E. Hinton
- Alex Krizhevsky
- Karen Simonyan
- Alex Graves
- Kaiming He
- Ilya Sutskever
- Oriol Vinyals
- Diederik P. Kingma
- Sepp Hochreiter
Who trusts Parker A. Koch overall
Papers from Parker A. Koch's perspective
Ordered by how strongly the researchers Parker A. Koch 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)
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
- Going deeper with convolutions
Their papers
- Watch What You Just Said: Image Captioning with Text-Conditional Attention (2016) — 85 citations
- Image Caption Generation with Text-Conditional Semantic Attention (2016) — 44 citations