Jan Snajder
Artificial Intelligence · 2012–2020
A researcher in the Science corpus: 7 papers; trusts 135 researchers and is trusted by 15 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 129 citations into it; #11,047 of 35,345 by trust here, #21,878 by citations
- Natural Language Processing — 91 citations into it; #2,397 of 5,688 by trust here, #2,422 by citations
- Information Systems — 21 citations into it
- Representation & Self-Supervised Learning — 20 citations into it
- Computer Vision and Pattern Recognition — 19 citations into it
- Safety, Robustness & Interpretability — 18 citations into it; #1,557 of 2,251 by trust here, #2,231 by citations
- Model Architectures — 16 citations into it
- Communication — 13 citations into it
Whom Jan Snajder trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Zeerak Talat
- Sepp Hochreiter
- Richard Socher
- Diederik P. Kingma
- Geoffrey E. Hinton
- Alex Krizhevsky
- Yoshua Bengio
- Ilya Sutskever
- J. Urgen Schmidhuber
- Kyunghyun Cho
Who trusts Jan Snajder overall
- Endang Wahyu Pamungkas
- Bertie Vidgen
- Sarah Wiegreffe
- Michael Wiegand
- Steve Durairaj Swamy
- Rujun Han
- Valerio Basile
- Aliaksei Severyn
- Ben Zhou
- Haoyu Wang
Papers from Jan Snajder's perspective
Ordered by how strongly the researchers Jan Snajder trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Attention is All you Need (Neural Information Processing Systems)
- 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
- 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
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
Their papers
- Preemptive Toxic Language Detection in Wikipedia Comments Using Thread-Level Context (2019) — 26 citations
- Staying True to Your Word: (How) Can Attention Become Explanation? (2020) — 31 citations
- Cross-Domain Detection of Abusive Language Online (2018) — 84 citations
- HiEve: A Corpus for Extracting Event Hierarchies from News Stories (2014) — 65 citations
- Aspect-Oriented Opinion Mining from User Reviews in Croatian (2013) — 7 citations
- TakeLab: Systems for Measuring Semantic Text Similarity (2012) — 241 citations
- Conference on Empirical Methods in Natural Language Processing Proceedings of the Fourth International Workshop on Natural Language Processing for Social Media Socialnlp@emnlp2016 Chairs' Welcome Identifying and Categorizing Disaster-related Tweets Why Do They Leave: Modeling Participation in Online