Taylor Berg-Kirkpatrick

5.5k citations

68 papers · 2.0k indexed · 2 hit papers · h-index 24

Impact in

Artificial Intelligence top 0.5%
- Topic Modeling
- Natural Language Processing Techniques
- Speech Recognition and Synthesis
- Speech and dialogue systems
Signal Processing top 2%
- Music and Audio Processing
- Speech and Audio Processing

Papers in

Computer Vision and Pattern Recognition 35
- Multimodal Machine Learning Applications 17
- Music Technology and Sound Studies 9
- Handwritten Text Recognition Techniques 5
Artificial Intelligence 52
- Natural Language Processing Techniques 35
- Topic Modeling 32
- Speech Recognition and Synthesis 9

Co-authors: Dan Klein Graham Neubig Shlomo DubnovKe ChenPercy Liang Aria Haghighi Eduard Hovy Dan Gillick
Journals: Journal of Experimental Biology (1 paper)SHILAP Revista de lepidopterología (1 paper)SPIRE - Sciences Po Institutional REpository (3 papers)Empirical Methods in Natural Language Processing (2 papers)North American Chapter of the Association for Computational Linguistics (2 papers)
Partner nations: United States United Kingdom Türkiye

In The Last Decade

Taylor Berg-Kirkpatrick

63 papers receiving 1.9k citations

Hit Papers

align trajectories log scale

Large-Scale Contrastive Language-Audio Pretraining with Feature Fusion and Keyword-to-Caption Augmentation 2023 · 168 citations

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if any of the following hold:

it has ≥500 total citations;
it reaches ≥1.5× the top-1% citation threshold for papers in the same subfield and year (the threshold is the minimum needed to enter the top 1%, not the average within it);
it reaches the top citation threshold in at least one of its specific research topics.

2023 SPIRE - Sciences Po Institutional REpository
2022 ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

Peers

Countries citing papers authored by Taylor Berg-Kirkpatrick

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network

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.

Border = papers with Taylor Berg-Kirkpatrick Line = papers co-authored together Taylor Berg-Kirkpatrick links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

#	Work
1	Large-Scale Contrastive Language-Audio Pretraining with Feature Fusion and Keyword-to-Caption Augmentation SPIRE - Sciences Po Institutional REpository ·Yusong Wu, Ke Chen, Tianyu Zhang, C. Blasciuc-Dimitriu, Taylor Berg-Kirkpatrick, Shlomo Dubnov Hit paper breakdown →	2023	168
2	Membership Inference Attacks against Language Models via Neighbourhood Comparison Mohamed El Moslemani, Fatemehsadat Mireshghallah, Zhijing Jin, Bernhard Schoelkopf, Mrinmaya Sachan, Taylor Berg-Kirkpatrick	2023	27
3	Multitrack Music Transformer SPIRE - Sciences Po Institutional REpository ·Hao‐Wen Dong, Ke Chen, Shlomo Dubnov, Julian McAuley, Taylor Berg-Kirkpatrick	2023	19
4	Quantifying Privacy Risks of Masked Language Models Using Membership Inference Attacks Fatemehsadat Mireshghallah, Kartik Goyal, V. Stakh, Taylor Berg-Kirkpatrick, Reza Shokri	2022	34
5	An Empirical Analysis of Memorization in Fine-tuned Autoregressive Language Models Fatemehsadat Mireshghallah, V. Stakh, Tianhao Wang, David Evans, Taylor Berg-Kirkpatrick	2022	23
6	UserIdentifier: Implicit User Representations for Simple and Effective Personalized Sentiment Analysis Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies ·Fatemehsadat Mireshghallah, 屋代牧子, Milad Shokouhi, Taylor Berg-Kirkpatrick, Robert B. Sim, Dimitrios Dimitriadis	2022	10
7	An Empirical Investigation of Contextualized Number Prediction Taylor Berg-Kirkpatrick, Jeihee Kyung	2020	15
8	Learning Sparse Prototypes for Text Generation Rare & Special e-Zone (The Hong Kong University of Science and Technology) ·Junxian He, Taylor Berg-Kirkpatrick, Graham Neubig	2020	3
9	Refer360$^\circ$: A Referring Expression Recognition Dataset in 360$^\circ$ Images. Meeting of the Association for Computational Linguistics ·Volkan Cirik, Taylor Berg-Kirkpatrick, Louis–Philippe Morency	2020	1
10	Beyond BLEU: Training Neural Machine Translation with Semantic Similarity John Wieting, Taylor Berg-Kirkpatrick, Kevin Gimpel, Graham Neubig	2019	76
11	Unsupervised Transcription of Piano Music Neural Information Processing Systems ·Taylor Berg-Kirkpatrick, Jacob Andreas, Dan Klein	2014	24
12	Decipherment with a Million Random Restarts Taylor Berg-Kirkpatrick, Dan Klein	2013	8
13	Unsupervised Transcription of Historical Documents Meeting of the Association for Computational Linguistics ·Taylor Berg-Kirkpatrick, Greg Durrett, Dan Klein	2013	18
14	Learning Whom to Trust with MACE North American Chapter of the Association for Computational Linguistics ·Dirk Hovy, Taylor Berg-Kirkpatrick, Ashish Vaswani, Eduard Hovy	2013	162
15	An Empirical Investigation of Statistical Significance in NLP Empirical Methods in Natural Language Processing ·Taylor Berg-Kirkpatrick, David Burkett, Dan Klein	2012	103
16	Jointly Learning to Extract and Compress Meeting of the Association for Computational Linguistics ·Taylor Berg-Kirkpatrick, Dan Gillick, Dan Klein	2011	122
17	Simple Effective Decipherment via Combinatorial Optimization Empirical Methods in Natural Language Processing ·Taylor Berg-Kirkpatrick, Dan Klein	2011	10
18	Phylogenetic Grammar Induction Meeting of the Association for Computational Linguistics ·Taylor Berg-Kirkpatrick, Dan Klein	2010	40
19	Painless Unsupervised Learning with Features North American Chapter of the Association for Computational Linguistics ·Taylor Berg-Kirkpatrick, Alexandre Bouchard‐Côté, John DeNero, Dan Klein	2010	152
20	Learning Bilingual Lexicons from Monolingual Corpora Meeting of the Association for Computational Linguistics ·Aria Haghighi, Percy Liang, Taylor Berg-Kirkpatrick, Dan Klein	2008	201

About Taylor Berg-Kirkpatrick

Taylor Berg-Kirkpatrick is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Signal Processing, Developmental Biology and General Social Sciences, having authored 68 papers that have together received 2.0k indexed citations. Recurring topics across this work include Natural Language Processing Techniques (35 papers), Topic Modeling (32 papers), Multimodal Machine Learning Applications (17 papers), Music and Audio Processing (13 papers), Speech and Audio Processing (9 papers), Music Technology and Sound Studies (9 papers), Speech Recognition and Synthesis (9 papers) and Handwritten Text Recognition Techniques (5 papers). The work is most often cited by research in Artificial Intelligence (1.5k citations), Signal Processing (407 citations), Computer Vision and Pattern Recognition (587 citations), Health Informatics (21 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, Graham Neubig, Shlomo Dubnov, Ke Chen, Percy Liang, Aria Haghighi, Eduard Hovy, Dan Gillick, Ashish Vaswani and Dirk Hovy. Their work appears in journals such as Journal of Experimental Biology, SHILAP Revista de lepidopterología, SPIRE - Sciences Po Institutional REpository, Empirical Methods in Natural Language Processing and North American Chapter of the Association for Computational Linguistics.

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