Adam Polyak

2.1k total citations
13 papers, 431 citations indexed

About

Adam Polyak is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Adam Polyak has authored 13 papers receiving a total of 431 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 3 papers in Computer Vision and Pattern Recognition and 3 papers in Signal Processing. Recurrent topics in Adam Polyak's work include Speech Recognition and Synthesis (7 papers), Natural Language Processing Techniques (4 papers) and Speech and Audio Processing (3 papers). Adam Polyak is often cited by papers focused on Speech Recognition and Synthesis (7 papers), Natural Language Processing Techniques (4 papers) and Speech and Audio Processing (3 papers). Adam Polyak collaborates with scholars based in Israel, United States and France. Adam Polyak's co-authors include Lior Wolf, Yossi Adi, Wei-Ning Hsu, Jade Copet, Emmanuel Dupoux, Kushal Lakhotia, Eugene Kharitonov, Abdelrahman Mohamed, Ann Lee and Peng‐Jen Chen and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Access and Transactions of the Association for Computational Linguistics.

In The Last Decade

Adam Polyak

13 papers receiving 402 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Adam Polyak Israel	10	344	157	123	25	11	13	431
Kaoru Hiramatsu Japan	9	170 0.5×	142 0.9×	142 1.2×	16 0.6×	6 0.5×	25	328
Zejun Ma China	11	273 0.8×	289 1.8×	103 0.8×	18 0.7×	4 0.4×	42	423
Pinar Akyazi Switzerland	9	474 1.4×	427 2.7×	131 1.1×	28 1.1×	6 0.5×	17	606
Xing Fan United States	11	323 0.9×	178 1.1×	76 0.6×	16 0.6×	29 2.6×	36	403
Hainan Xu United States	10	547 1.6×	298 1.9×	46 0.4×	25 1.0×	8 0.7×	22	585
Deepti Bhatia United States	6	420 1.2×	263 1.7×	49 0.4×	13 0.5×	17 1.5×	11	481
Yatharth Saraf United States	9	385 1.1×	225 1.4×	57 0.5×	23 0.9×	8 0.7×	17	459
Vitaly Lavrukhin United States	6	312 0.9×	214 1.4×	44 0.4×	15 0.6×	13 1.2×	20	371

Countries citing papers authored by Adam Polyak

Since Specialization

Citations

This map shows the geographic impact of Adam Polyak'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 Adam Polyak with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Adam Polyak more than expected).

Fields of papers citing papers by Adam Polyak

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Adam Polyak. 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 Adam Polyak. The network helps show where Adam Polyak may publish in the future.

Co-authorship network of co-authors of Adam Polyak

This figure shows the co-authorship network connecting the top 25 collaborators of Adam Polyak. A scholar is included among the top collaborators of Adam Polyak based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Adam Polyak. Adam Polyak is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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13 of 13 papers shown

Sheynin, Shelly, Adam Polyak, Uriel Singer, et al.. (2024). Emu Edit: Precise Image Editing via Recognition and Generation Tasks. 8871–8879. 18 indexed citations

Polyak, Adam, et al.. (2023). Pick-a-Pic: An Open Dataset of User Preferences for Text-to-Image Generation. 36652–36663. 2 indexed citations

Kreuk, Felix, Adam Polyak, Jade Copet, et al.. (2022). Textless Speech Emotion Conversion using Discrete & Decomposed Representations. 11200–11214. 14 indexed citations

Lee, Ann, Adam Polyak, Yossi Adi, et al.. (2022). Text-Free Prosody-Aware Generative Spoken Language Modeling. Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 8666–8681. 26 indexed citations

Lee, Ann, Peng‐Jen Chen, Changhan Wang, et al.. (2022). Direct Speech-to-Speech Translation With Discrete Units. Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 3327–3339. 63 indexed citations

Polyak, Adam, et al.. (2022). Multilingual Text-To-Speech Training Using Cross Language Voice Conversion And Self-Supervised Learning Of Speech Representations. ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). 8017–8021. 7 indexed citations

Polyak, Adam, Yossi Adi, Jade Copet, et al.. (2021). Speech Resynthesis from Discrete Disentangled Self-Supervised Representations. arXiv (Cornell University). 3615–3619. 144 indexed citations

Lakhotia, Kushal, Wei-Ning Hsu, Yossi Adi, et al.. (2021). On Generative Spoken Language Modeling from Raw Audio. Transactions of the Association for Computational Linguistics. 9. 1336–1354. 10 indexed citations

Wang, Changhan, Wei-Ning Hsu, Yossi Adi, et al.. (2021). fairseq Sˆ2: A Scalable and Integrable Speech Synthesis Toolkit. 143–152. 9 indexed citations

10.

Kharitonov, Eugene, Ann Lee, Adam Polyak, et al.. (2021). Text-Free Prosody-Aware Generative Spoken Language Modeling. arXiv (Cornell University). 13 indexed citations

11.

Polyak, Adam & Lior Wolf. (2019). Attention-based Wavenet Autoencoder for Universal Voice Conversion. 6800–6804. 15 indexed citations

12.

Polyak, Adam, Yaniv Taigman, & Lior Wolf. (2018). Unsupervised Generation of Free-Form and Parameterized Avatars. IEEE Transactions on Pattern Analysis and Machine Intelligence. 42(2). 444–459. 2 indexed citations

13.

Polyak, Adam & Lior Wolf. (2015). Channel-level acceleration of deep face representations. IEEE Access. 3. 2163–2175. 108 indexed citations

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.

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