V. U. Güney
Artificial Intelligence · 2014–2017
A researcher in the Science corpus: 3 papers; trusts 10 researchers and is trusted by 25 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 29 citations into it; #9,760 of 35,345 by trust here, #4,466 by citations
- Optimization & Training — 21 citations into it; #2,439 of 2,601 by trust here, #938 by citations
Whom V. U. Güney trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Yann LeCun
- L. Eon Bottou
- Geoffrey E. Hinton
- Ronan Collobert
- Yoshua Bengio
- Diederik P. Kingma
- Barak A. Pearlmutter
- Alex Krizhevsky
- Levent Sagun
- Ilya Sutskever
Who trusts V. U. Güney overall
- Levent Sagun
- Rodrigo Nogueira
- Charles H. Martin
- Yi Tay
- Michael W. Mahoney
- Pratik Chaudhari
- Grant M. Rotskoff
- Robin Jia
- Mario Geiger
- Colin Wei
Papers from V. U. Güney's perspective
Ordered by how strongly the researchers V. U. Güney trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Dropout: a simple way to prevent neural networks from overfitting
- Learning Multiple Layers of Features from Tiny Images
Their papers
- SearchQA: A New Q&A Dataset Augmented with Context from a Search Engine (2017) — 496 citations
- Empirical Analysis of the Hessian of Over-Parametrized Neural Networks (2017) — 516 citations
- Explorations on high dimensional landscapes (2014) — 64 citations