Katharina Morik
Artificial Intelligence · 2013–2020
A researcher in the Science corpus: 5 papers; trusts 40 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 36 citations into it; #27,986 of 35,345 by trust here, #29,412 by citations
- Computer Vision and Pattern Recognition — 15 citations into it
- Computational Theory and Mathematics — 10 citations into it
- Computer Networks and Communications — 6 citations into it
- Algorithms & Complexity — 5 citations into it
- Model Architectures — 5 citations into it
- Natural Language Processing — 5 citations into it
- Optimization & Training — 5 citations into it; #2,235 of 2,601 by trust here, #2,588 by citations
Whom Katharina Morik trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Sergey Ioffe
- Tomas Mikolov
- Evgeniya Ustinova
- Geoffrey E. Hinton
- Christian Szegedy
- Jacob Devlin
- Spyros Gidaris
- Yoshua Bengio
- Alex Smola
- Jeffrey Scott Vitter
Who trusts Katharina Morik overall
Papers from Katharina Morik's perspective
Ordered by how strongly the researchers Katharina Morik 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)
- Attention is All you Need (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- ImageNet: A large-scale hierarchical image database
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Learning Multiple Layers of Features from Tiny Images
Their papers
- Semantic Search in Millions of Equations (2020) — 13 citations
- Very Fast Streaming Submodular Function Maximization (2020) — 10 citations
- Dynamic route planning with real-time traffic predictions (2017) — 172 citations
- Sustainable Industrial Processes by Embedded Real-Time Quality Prediction (2016) — 16 citations
- Anomaly Detection in Vertically Partitioned Data by Distributed Core Vector Machines (2013) — 21 citations