Taylor Berg-Kirkpatrick
Impact in
- Artificial Intelligence top 0.5%
- Topic Modeling
- Natural Language Processing Techniques
- Speech Recognition and Synthesis
- Advanced Text Analysis Techniques
- Signal Processing top 2%
- Music and Audio Processing
- Speech and Audio Processing
Papers in
-
- Natural Language Processing Techniques 35
- Topic Modeling 35
- Speech Recognition and Synthesis 10
-
- Multimodal Machine Learning Applications 17
- Music Technology and Sound Studies 9
- Handwritten Text Recognition Techniques 5
- Co-authors
- Dan Klein (16 shared papers)Ke Chen (8 shared papers)Shlomo Dubnov (8 shared papers)Graham Neubig (12 shared papers)Eduard Hovy (4 shared papers)Aria Haghighi (1 shared paper)Percy Liang (1 shared paper)Dirk Hovy (1 shared paper)
- Journals
- Journal of Experimental Biology (1 paper)Meeting of the Association for Computational Linguistics (5 papers)ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (3 papers)arXiv (Cornell University) (3 papers)Rare & Special e-Zone (The Hong Kong University of Science and Technology) (6 papers)
- Partner nations
- United StatesUnited KingdomTürkiye
In The Last Decade
Taylor Berg-Kirkpatrick
68 papers receiving 2.0k citations
Taylor Berg-Kirkpatrick's Hit Papers
Peers
Comparison fields: 5 of 109
- Artificial Intelligence 1.6k
- Signal Processing 446
- Computer Vision and Pattern Recognition 619
- Health Informatics 22
- Computer Science Applications 55
Countries citing papers authored by Taylor Berg-Kirkpatrick
This map shows the geographic impact of Taylor Berg-Kirkpatrick's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Taylor Berg-Kirkpatrick with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Taylor Berg-Kirkpatrick more than expected).
Fields of papers citing papers by Taylor Berg-Kirkpatrick
This network shows the impact of papers produced by Taylor Berg-Kirkpatrick. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Taylor Berg-Kirkpatrick. The network helps show where Taylor Berg-Kirkpatrick may publish in the future.
Co-authors
The 25 scholars most cited alongside Taylor Berg-Kirkpatrick, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 75 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Large-Scale Contrastive Language-Audio Pretraining with Feature Fusion and Keyword-to-Caption Augmentation Hit paper breakdown → | 2023 | 208 |
| 2 | Learning Bilingual Lexicons from Monolingual Corpora | 2008 | 202 |
| 3 | Learning Whom to Trust with MACE | 2013 | 164 |
| 4 | HTS-AT: A Hierarchical Token-Semantic Audio Transformer for Sound Classification and Detection Hit paper breakdown → | 2022 | 157 |
| 5 | Painless Unsupervised Learning with Features | 2010 | 152 |
| 6 | Jointly Learning to Extract and Compress | 2011 | 122 |
| 7 | An Empirical Investigation of Statistical Significance in NLP | 2012 | 104 |
| 8 | 2019 | 78 | |
| 9 | 2016 | 63 | |
| 10 | Speaker-Follower Models for Vision-and-Language Navigation | 2018 | 61 |
| 11 | 2017 | 47 | |
| 12 | 2018 | 45 | |
| 13 | Phylogenetic Grammar Induction | 2010 | 40 |
| 14 | 2022 | 37 | |
| 15 | 2018 | 36 | |
| 16 | Lagging Inference Networks and Posterior Collapse in Variational Autoencoders | 2019 | 30 |
| 17 | 2020 | 30 | |
| 18 | 2023 | 28 | |
| 19 | 2022 | 28 | |
| 20 | 2018 | 27 |
About Taylor Berg-Kirkpatrick
Taylor Berg-Kirkpatrick is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Signal Processing, Cognitive Neuroscience and Molecular Biology, having authored 75 papers that have together received 2.1k indexed citations. Recurring topics across this work include Natural Language Processing Techniques (35 papers), Topic Modeling (35 papers), Multimodal Machine Learning Applications (17 papers), Music and Audio Processing (13 papers), Speech Recognition and Synthesis (10 papers), Speech and Audio Processing (10 papers), Music Technology and Sound Studies (9 papers) and Handwritten Text Recognition Techniques (5 papers). The work is most often cited by research in Artificial Intelligence (1.6k citations), Signal Processing (446 citations), Computer Vision and Pattern Recognition (619 citations), Health Informatics (22 citations) and Computer Science Applications (55 citations). Taylor Berg-Kirkpatrick has collaborated with scholars based in United States, United Kingdom and Türkiye. Frequent co-authors include Dan Klein, Ke Chen, Shlomo Dubnov, Graham Neubig, Eduard Hovy, Aria Haghighi, Percy Liang, Dirk Hovy, Ashish Vaswani and Dan Gillick. Their work appears in journals such as Journal of Experimental Biology, Meeting of the Association for Computational Linguistics, ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), arXiv (Cornell University) and Rare & Special e-Zone (The Hong Kong University of Science and Technology).
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.