Benno Stein
Artificial Intelligence · 2008–2023
A researcher in the Science corpus: 17 papers; trusts 89 researchers and is trusted by 23 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 114 citations into it; #8,544 of 35,345 by trust here, #7,241 by citations
- Natural Language Processing — 93 citations into it; #1,852 of 5,688 by trust here, #2,172 by citations
- Evaluation & Benchmarks — 36 citations into it; #2,666 of 3,147 by trust here, #568 by citations
- Information Systems — 30 citations into it; #3,233 of 8,771 by trust here, #3,640 by citations
- Computer Vision and Pattern Recognition — 21 citations into it
- Representation & Self-Supervised Learning — 17 citations into it
- Statistics and Probability — 10 citations into it
Whom Benno Stein trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Rie Kubota Ando
- Chin-Yew Lin
- John Blitzer
- Tong Zhang
- Geoffrey E. Hinton
- Leo Breiman
- Yoshua Bengio
- Dekang Lin
- Diederik P. Kingma
- Shai Shalev-Shwartz
Who trusts Benno Stein overall
- Hua Wang
- Yuhong Guo
- Aditya Mogadala
- J'er'emy Scheurer
- Lixin Duan
- Timothy Niven
- Xinjie Zhou
- Feiping Nie
- Heng Huang
- Xiaojun Wan
Papers from Benno Stein's perspective
Ordered by how strongly the researchers Benno Stein trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- 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)
- 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
- TL;DR: Mining Reddit to Learn Automatic Summarization (2017) — 274 citations
- SemEval-2019 Task 4: Hyperpartisan News Detection (2019) — 272 citations
- The Argument Reasoning Comprehension Task: Identification and Reconstruction of Implicit Warrants (2017) — 164 citations
- A Stylometric Inquiry into Hyperpartisan and Fake News (2017) — 696 citations
- Automatic Vandalism Detection in Wikipedia (2008) — 204 citations
- Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models (2023) — 266 citations
- Overview of Touché 2022: Argument Retrieval (2022) — 62 citations
- Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models (2022) — 2,561 citations
- Towards Summarization for Social Media - Results of the TL;DR Challenge (2019) — 7 citations
- SemEval-2018 Task 12: The Argument Reasoning Comprehension Task (2018) — 37 citations
- Crowdsourcing a Large Corpus of Clickbait on Twitter (2018) — 85 citations
- The Eras and Trends of Automatic Short Answer Grading (2015) — 474 citations
- Overview of the 3rd Author Profiling Task at PAN 2015 (2015) — 302 citations
- Overview of the Author Profiling Task at PAN 2013 (2013) — 321 citations
- An Evaluation Framework for Plagiarism Detection (2010) — 362 citations
- Cross-Language Text Classification Using Structural Correspondence Learning (2010) — 338 citations
- Overview of the 1st international competition on plagiarism detection (2009) — 494 citations