Benjamin Piwowarski
Artificial Intelligence · 2008–2021
A researcher in the Science corpus: 10 papers; trusts 357 researchers and is trusted by 47 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 276 citations into it; #10,975 of 35,345 by trust here, #7,172 by citations
- Natural Language Processing — 228 citations into it; #1,968 of 5,688 by trust here, #1,598 by citations
- Evaluation & Benchmarks — 103 citations into it
- Computer Vision and Pattern Recognition — 90 citations into it
- Information Retrieval & Search — 40 citations into it; #594 of 1,022 by trust here, #484 by citations
- Large Language Models — 35 citations into it
- Information Systems — 32 citations into it; #963 of 8,771 by trust here, #3,402 by citations
- Model Architectures — 26 citations into it
Whom Benjamin Piwowarski trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Ronald J. Williams
- Geoffrey E. Hinton
- Yoshua Bengio
- Ilya Sutskever
- Diederik P. Kingma
- Chin-Yew Lin
- Alex Krizhevsky
- Oriol Vinyals
- Yann LeCun
- Richard Socher
Who trusts Benjamin Piwowarski overall
- Ricardo A. Baeza-Yates
- Fan Guo
- Xuanhui Wang
- Yisong Yue
- Olivier Chapelle
- Thomas Scialom
- Keshav Santhanam
- Aleksandr Chuklin
- Niklas Muennighoff
- Yiqun Liu
Papers from Benjamin Piwowarski's perspective
Ordered by how strongly the researchers Benjamin Piwowarski trusts endorse each paper. Same corpus, a different order for every researcher.
- 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)
- ImageNet classification with deep convolutional neural networks
- Long Short-Term Memory
- 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)
- ImageNet: A large-scale hierarchical image database
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
Their papers
- MLSUM: The Multilingual Summarization Corpus (2020) — 213 citations
- Answers Unite! Unsupervised Metrics for Reinforced Summarization Models (2019) — 162 citations
- ColdGANs: Taming Language GANs with Cautious Sampling Strategies (2020) — 18 citations
- QuestEval: Summarization Asks for Fact-based Evaluation (2021) — 371 citations
- SPLADE: Sparse Lexical and Expansion Model for First Stage Ranking (2021) — 611 citations
- Data-QuestEval: A Referenceless Metric for Data-to-Text Semantic Evaluation (2021) — 38 citations
- SAFEval: Summarization Asks for Fact-based Evaluation (2021) — 5 citations
- SPLADE v2: Sparse Lexical and Expansion Model for Information Retrieval (2021) — 247 citations
- Discriminative Adversarial Search for Abstractive Summarization (2020) — 37 citations
- A user browsing model to predict search engine click data from past observations. (2008) — 498 citations