Michael. White
Artificial Intelligence · with Arun · 2005–2022
A researcher in the Science corpus: 13 papers; trusts 120 researchers and is trusted by 10 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 224 citations into it
- Natural Language Processing — 211 citations into it; #2,653 of 5,688 by trust here, #1,975 by citations
- Evaluation & Benchmarks — 79 citations into it
- Computer Vision and Pattern Recognition — 48 citations into it
- Language and Linguistics — 17 citations into it
- Information Systems — 15 citations into it
- Cognitive Neuroscience — 12 citations into it
- Optimization & Training — 11 citations into it
Whom Michael. White trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Ondrej Dusek
- Diederik P. Kingma
- Geoffrey E. Hinton
- Yoshua Bengio
- Ilya Sutskever
- Dzmitry Bahdanau
- Philipp Koehn
- Alex Krizhevsky
- Sepp Hochreiter
- Christopher D. Manning
Who trusts Michael. White overall
- Simon Mille
- Albert Gatt
- Claire Gardent
- Laura Perez-Beltrachini
- Diego Marcheggiani
- Emiel Krahmer
- Shreyan Bakshi
- Soumya Batra
Papers from Michael. White's perspective
Ordered by how strongly the researchers Michael. White trusts endorse each paper. Same corpus, a different order for every researcher.
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- 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
- 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)
- 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
Their papers
- Constrained Decoding for Neural NLG from Compositional Representations in Task-Oriented Dialogue (2019) — 87 citations
- GEMv2: Multilingual NLG Benchmarking in a Single Line of Code (2022) — 43 citations
- A Tree-to-Sequence Model for Neural NLG in Task-Oriented Dialog (2019) — 14 citations
- Building Adaptive Acceptability Classifiers for Neural NLG (2021) — 16 citations
- Getting to Production with Few-shot Natural Language Generation Models (2021) — 17 citations
- Structure-to-Text Generation with Self-Training, Acceptability Classifiers and Context-Conditioning for the GEM Shared Task (2021)
- Leveraging Large Pretrained Models for WebNLG 2020 (2020)
- Neural NLG for Methodius: From RST Meaning Representations to Texts (2020) — 8 citations
- Best Practices for Data-Efficient Modeling in NLG:How to Train Production-Ready Neural Models with Less Data (2020) — 10 citations
- Investigating locality effects and surprisal in written English syntactic choice phenomena. (2016) — 40 citations
- The First Surface Realisation Shared Task: Overview and Evaluation Results (2011) — 109 citations
- Further Meta-Evaluation of Broad-Coverage Surface Realization (2010) — 24 citations
- Modelling alignment for affective dialogue (2005) — 34 citations