D. Andor
Artificial Intelligence · 2009–2025
A researcher in the Science corpus: 11 papers; trusts 141 researchers and is trusted by 28 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 187 citations into it; #9,149 of 35,345 by trust here, #3,652 by citations
- Natural Language Processing — 153 citations into it; #1,963 of 5,688 by trust here, #852 by citations
- Computer Vision and Pattern Recognition — 63 citations into it; #16,164 of 21,575 by trust here, #5,620 by citations
- Evaluation & Benchmarks — 31 citations into it; #2,358 of 3,147 by trust here, #1,631 by citations
- Model Architectures — 27 citations into it
- Molecular Biology — 16 citations into it
- Optimization & Training — 10 citations into it
- Representation & Self-Supervised Learning — 10 citations into it
Whom D. Andor trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Yoshua Bengio
- Geoffrey E. Hinton
- Christopher D. Manning
- Michael Collins
- Diederik P. Kingma
- Yann LeCun
- Ilya Sutskever
- Sepp Hochreiter
- Alex Krizhevsky
- L. Eon Bottou
Who trusts D. Andor overall
- Jonathan Raiman
- Dheeru Dua
- Eliyahu Kiperwasser
- Jonathan Herzig
- Nicholas Carlini
- Xuezhi Wang
- Kellie Webster
- Jie Yang
- Tushar Khot
- Akari Asai
Papers from D. Andor's perspective
Ordered by how strongly the researchers D. Andor trusts endorse each paper. Same corpus, a different order for every researcher.
- 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
- Attention is All you Need (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
- 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
- Globally Normalized Transition-Based Neural Networks (2016) — 577 citations
- Linguistically-Informed Self-Attention for Semantic Role Labeling (2018) — 401 citations
- Synthetic QA Corpora Generation with Roundtrip Consistency (2019) — 275 citations
- Giving BERT a Calculator: Finding Operations and Arguments with Reading Comprehension (2019) — 102 citations
- QED: A Framework and Dataset for Explanations in Question Answering (2020) — 83 citations
- Dependency Parsing (2009) — 624 citations
- Honest Students from Untrusted Teachers: Learning an Interpretable Question-Answering Pipeline from a Pretrained Language Model (2022) — 27 citations
- A Challenge Set and Methods for Noun-Verb Ambiguity (2018) — 18 citations
- Real-time loop closure in 2D LIDAR SLAM (2016) — 1,836 citations
- Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities (2025) — 3,609 citations
- Scaling Up Models and Data with t5x and seqio (2022) — 224 citations