Alexander Löser
Artificial Intelligence · 2003–2023
A researcher in the Science corpus: 5 papers; trusts 70 researchers and is trusted by 7 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 84 citations into it; #17,548 of 35,345 by trust here, #14,181 by citations
- Natural Language Processing — 55 citations into it; #3,075 of 5,688 by trust here, #3,421 by citations
- Information Systems — 22 citations into it
- Safety, Robustness & Interpretability — 22 citations into it; #1,162 of 2,251 by trust here, #1,673 by citations
- Communication — 15 citations into it
- Representation & Self-Supervised Learning — 12 citations into it
- Evaluation & Benchmarks — 10 citations into it
- Computer Vision and Pattern Recognition — 9 citations into it
Whom Alexander Löser trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Yoshua Bengio
- Geoffrey E. Hinton
- Tomas Mikolov
- Diederik P. Kingma
- Ilya Sutskever
- Alex Krizhevsky
- Alec Radford
- Yann LeCun
- Kaiming He
- Jason Aaron Edward Weston
Who trusts Alexander Löser overall
Papers from Alexander Löser's perspective
Ordered by how strongly the researchers Alexander Löser 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
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- ImageNet: A large-scale hierarchical image database
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
Their papers
- Challenges for Toxic Comment Classification: An In-Depth Error Analysis (2018) — 250 citations
- MedAlpaca -- An Open-Source Collection of Medical Conversational AI Models and Training Data (2023) — 462 citations
- Discovering Biased News Articles Leveraging Multiple Human Annotations (2020) — 8 citations
- How Does BERT Answer Questions?: A Layer-Wise Analysis of Transformer Representations (2019) — 186 citations
- Super-peer-based routing and clustering strategies for RDF-based peer-to-peer networks (2003) — 377 citations