Parameter-efficient Algorithms
Parameter-Efficient Algorithms is a class of algorithmic methods in parameterized complexity that, given an input instance and a parameter, achieve competitive performance while significantly reducing the number of trainable or adjustable parameters compared to standard models, thereby optimizing computational and memory resources without proportional loss in solution quality.
179
Publications
13.8K
Citations
634
Authors
243
Institutions
Publications per year
2017–2026
82
Parents
179
Conformer: Convolution-augmented Transformer for Speech Recognition
Anmol Gulati, James Qin, Chung‐Cheng Chiu et al. · 2020 · 2.7K citations
Parameter-efficient fine-tuning of large-scale pre-trained language models
Ning Ding, Yujia Qin, Guang Yang et al. · Nature Machine Intelligence · 2023 · 906 citations · Full text
Conformer: Convolution-augmented Transformer for Speech Recognition
Anmol Gulati, James Qin, Chung‐Cheng Chiu et al. · arXiv (Cornell University) · 2020 · 385 citations · Full text
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243
Google (United States)
Mountain View, United States
11 h-index
31 publications
31.2K citations

University of Tübingen
Tübingen, Germany
7 h-index
10 publications
1.9K citations
Friedrich Schiller University Jena
Jena, Germany
5 h-index
16 publications
1.7K citations
Tsinghua University
Beijing, China
5 h-index
41 publications
19.1K citations
Tencent (China)
Shenzhen, China
5 h-index
12 publications
992 citations

Sun Yat-sen University
Guangzhou, China
4 h-index
6 publications
471 citations
Columbia University
New York, United States
4 h-index
8 publications
355 citations
University of Chicago
Chicago, United States
4 h-index
6 publications
283 citations
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Repository · 34 publications · 1.5K citations
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Conference · 8 publications · 464 citations
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5 publications · 299 citations
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4 publications · 429 citations
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3 publications · 72 citations
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