Jeff Mitchell
Natural Language Processing · 2008–2018
A researcher in the Science corpus: 4 papers; trusts 95 researchers and is trusted by 294 researchers here, as inferred from the citation graph.
Subfields
- Natural Language Processing — 74 citations into it; #329 of 5,688 by trust here, #940 by citations
- Artificial Intelligence — 73 citations into it; #1,848 of 35,345 by trust here, #6,229 by citations
- Representation & Self-Supervised Learning — 20 citations into it; #399 of 3,145 by trust here, #1,103 by citations
- Developmental and Educational Psychology — 13 citations into it
- Evaluation & Benchmarks — 9 citations into it
- Cognitive Science & Psychology — 8 citations into it
- Computer Vision and Pattern Recognition — 8 citations into it; #2,748 of 21,575 by trust here, #5,620 by citations
- Information Retrieval & Search — 8 citations into it
Whom Jeff Mitchell trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Tony A. Plate
- Thomas Hofmann
- Geoffrey E. Hinton
- Dekang Lin
- Sebastian Padó
- T. Landauer
- Noah B. Coccaro
- Walter Kintsch
- Peter D. Turney
- Pentti Kanerva
Who trusts Jeff Mitchell overall
- Edward Grefenstette
- Karl Moritz Hermann
- Richard Socher
- Marco Baroni
- Phil Blunsom
- K. Erk
- John Wieting
- Duyu Tang
- Mohit Bansal
- Dimitri Kartsaklis
Papers from Jeff Mitchell's perspective
Ordered by how strongly the researchers Jeff Mitchell 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)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- 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)
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
Their papers
- Composition in Distributional Models of Semantics (2010) — 1,033 citations
- Behavior Analysis of NLI Models: Uncovering the Influence of Three Factors on Robustness (2018) — 45 citations
- UCL Machine Reading Group: Four Factor Framework For Fact Finding (HexaF) (2018) — 101 citations
- Vector-based Models of Semantic Composition (2008) — 806 citations