Paul N. Bennett
Artificial Intelligence · 2007–2022
A researcher in the Science corpus: 15 papers; trusts 301 researchers and is trusted by 19 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 255 citations into it; #13,634 of 35,345 by trust here, #4,923 by citations
- Natural Language Processing — 166 citations into it; #5,479 of 5,688 by trust here, #1,769 by citations
- Computer Vision and Pattern Recognition — 108 citations into it
- Information Systems — 70 citations into it; #2,816 of 8,771 by trust here, #3,540 by citations
- Large Language Models — 63 citations into it
- Evaluation & Benchmarks — 57 citations into it; #1,404 of 3,147 by trust here, #2,330 by citations
- Information Retrieval & Search — 53 citations into it; #530 of 1,022 by trust here, #185 by citations
- Representation & Self-Supervised Learning — 33 citations into it
Whom Paul N. Bennett trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Yoshua Bengio
- Thorsten Joachims
- Diederik P. Kingma
- Ilya Sutskever
- Alex Krizhevsky
- Kaiming He
- Yann LeCun
- Andrei Z. Broder
- Alex Graves
Who trusts Paul N. Bennett overall
- C. Clarke
- Przemyslaw Jeziorski
- Ryen W. White
- Cheng-hsin Luo
- Xinyi Yan
- Xin Li
- Luyu Gao
- Guoliang Li
- Hamed Zamani
- Ilya Segal
Papers from Paul N. Bennett's perspective
Ordered by how strongly the researchers Paul N. Bennett 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)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- 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
- Gradient-based learning applied to document recognition
- 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
- Approximate Nearest Neighbor Negative Contrastive Learning for Dense Text Retrieval (2020) — 1,631 citations
- SummaC: Re-Visiting NLI-based Models for Inconsistency Detection in Summarization (2021) — 574 citations
- COCO-LM: Correcting and Contrasting Text Sequences for Language Model Pretraining (2021) — 227 citations
- Knowledge-Aware Language Model Pretraining (2020) — 93 citations
- Pairwise ranking aggregation in a crowdsourced setting (2013) — 373 citations
- Guidelines for Human-AI Interaction (2019) — 2,339 citations
- Short-Term Satisfaction and Long-Term Coverage: Understanding How Users Tolerate Algorithmic Exploration (2018) — 53 citations
- Will You Accept an Imperfect AI?: Exploring Designs for Adjusting End-user Expectations of AI Systems (2019) — 363 citations
- Evaluation measures for preference judgments (2008) — 47 citations
- Detecting duplicate web documents using clickthrough data (2011) — 25 citations
- Pretraining Text Encoders with Adversarial Mixture of Training Signal Generators (2022) — 17 citations
- Transformer-XH: Multi-Evidence Reasoning with eXtra Hop Attention (2020) — 125 citations
- Persona-ization: Searching on Behalf of Others (2015) — 4 citations
- Modeling the impact of short- and long-term behavior on search personalization (2012) — 354 citations
- Dual Strategy Active Learning (2007) — 224 citations