Clara Meister

Artificial Intelligence · 2020–2022

A researcher in the Science corpus: 5 papers; trusts 242 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 133 citations into it; #27,144 of 35,345 by trust here, #23,731 by citations
• Natural Language Processing — 128 citations into it; #3,815 of 5,688 by trust here, #3,977 by citations
• Computer Vision and Pattern Recognition — 50 citations into it
• Evaluation & Benchmarks — 20 citations into it
• Large Language Models — 19 citations into it
• Model Architectures — 15 citations into it
• Machine Translation — 7 citations into it; #201 of 292 by trust here, #263 by citations
• Generative Models — 6 citations into it

Whom Clara Meister trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Yoshua Bengio
2. Geoffrey E. Hinton
3. Philipp Koehn
4. Oriol Vinyals
5. Ilya Sutskever
6. Diederik P. Kingma
7. Kyunghyun Cho
8. Dzmitry Bahdanau
9. Alex Krizhevsky
10. Matt Post

Who trusts Clara Meister overall

1. Michael Janner
2. Sachin Kumar
3. Kalpesh Krishna
4. Yixuan Su
5. Ximing Lu
6. Xiang Lisa Li
7. Susan Zhang
8. Qiyang Li
9. Charles Burton Snell
10. Sergey Levine

Papers from Clara Meister's perspective

Ordered by how strongly the researchers Clara Meister trusts endorse each paper. Same corpus, a different order for every researcher.

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. Attention is All you Need (Neural Information Processing Systems)
3. ImageNet classification with deep convolutional neural networks
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
7. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
8. Gradient-based learning applied to document recognition
9. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
10. ImageNet: A large-scale hierarchical image database

Their papers

• Language Model Evaluation Beyond Perplexity (2021) — 124 citations
• If Beam Search Is the Answer, What Was the Question? (2020) — 176 citations
• Typical Decoding for Natural Language Generation (2022) — 52 citations
• A Plug-and-Play Method for Controlled Text Generation (2021) — 109 citations
• Best-First Beam Search (2020) — 89 citations