Katrin Kirchhoff

Artificial Intelligence · 2003–2022

A researcher in the Science corpus: 7 papers; trusts 247 researchers and is trusted by 72 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 276 citations into it; #3,773 of 35,345 by trust here, #6,720 by citations
• Signal Processing — 147 citations into it; #3,328 of 7,572 by trust here, #2,525 by citations
• Speech & Audio — 145 citations into it; #410 of 1,076 by trust here, #510 by citations
• Natural Language Processing — 112 citations into it; #1,658 of 5,688 by trust here, #2,385 by citations
• Representation & Self-Supervised Learning — 90 citations into it; #1,758 of 3,145 by trust here, #2,042 by citations
• Computer Vision and Pattern Recognition — 83 citations into it
• Large Language Models — 32 citations into it
• Evaluation & Benchmarks — 26 citations into it

Whom Katrin Kirchhoff trusts overall

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

1. Geoffrey E. Hinton
2. Yoshua Bengio
3. Alex Graves
4. Ilya Sutskever
5. Diederik P. Kingma
6. Alex Krizhevsky
7. Oriol Vinyals
8. Yann LeCun
9. Kaiming He
10. Dzmitry Bahdanau

Who trusts Katrin Kirchhoff overall

1. Jan A. Botha
2. Piotr Bojanowski
3. Abdel-rahman Mohamed
4. Songfang Huang
5. Radu Soricut
6. Andrei Alexandrescu
7. Sebastian Ruder
8. Yoon Kim
9. Emily M. Bender
10. Toan Q. Nguyen

Papers from Katrin Kirchhoff's perspective

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

Their papers

• Masked Language Model Scoring (2019) — 615 citations
• Factored Neural Language Models (2006) — 108 citations
• Factored Language Models and Generalized Parallel Backoff (2003) — 332 citations
• Deep Contextualized Acoustic Representations for Semi-Supervised Speech Recognition (2019) — 150 citations
• Self-Supervised Speech Representation Learning: A Review (2022) — 515 citations
• Self-attention Networks for Connectionist Temporal Classification in Speech Recognition (2019) — 125 citations
• Multilingual Speech Processing (2006) — 81 citations