Ozlem Aslan
Artificial Intelligence · 2013–2021
A researcher in the Science corpus: 6 papers; trusts 67 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 69 citations into it
- Computer Vision and Pattern Recognition — 40 citations into it
- Model Architectures — 33 citations into it
- Signal Processing — 22 citations into it
- Natural Language Processing — 21 citations into it
- Optimization & Training — 18 citations into it
- Representation & Self-Supervised Learning — 15 citations into it
- Probabilistic & Bayesian Methods — 6 citations into it
Whom Ozlem Aslan trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Thorsten Joachims
- Yoshua Bengio
- Geoffrey E. Hinton
- Radford M. Neal
- Alex Krizhevsky
- Yann LeCun
- Ilya Sutskever
- Ruslan Salakhutdinov
- Alex Graves
- Nitish Srivastava
Who trusts Ozlem Aslan overall
Papers from Ozlem Aslan's perspective
Ordered by how strongly the researchers Ozlem Aslan 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)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
Their papers
- Blending LSTMs into CNNs (2015) — 61 citations
- WikiGraphs: A Wikipedia Text - Knowledge Graph Paired Dataset (2021) — 33 citations
- Analysis of Deep Neural Networks with Extended Data Jacobian Matrix (2016) — 38 citations
- Do Deep Convolutional Nets Really Need to be Deep and Convolutional? (2016) — 259 citations
- Convex Deep Learning via Normalized Kernels (2014) — 29 citations
- Convex Two-Layer Modeling (2013) — 12 citations