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ORCIDJoel Shor
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2020 – today
- 2024
[j3]Joel Shor, Carson McNeil, Yotam Intrator, Joseph R. Ledsam, Hiro-o Yamano, Daisuke Tsurumaru, Hiroki Kayama, Atsushi Hamabe, Koji Ando, Mitsuhiko Ota, Haruei Ogino, Hiroshi Nakase, Kaho Kobayashi, Masaaki Miyo, Eiji Oki, Ichiro Takemasa, Ehud Rivlin, Roman Goldenberg
:
Predicting the generalization of computer aided detection (CADe) models for colonoscopy. Discov. Artif. Intell. 4(1): 85 (2024)- [i19]Joel Shor, Carson McNeil, Yotam Intrator, Joseph R. Ledsam, Hiro-o Yamano, Daisuke Tsurumaru, Hiroki Kayama, Atsushi Hamabe, Koji Ando, Mitsuhiko Ota, Haruei Ogino, Hiroshi Nakase, Kaho Kobayashi, Masaaki Miyo, Eiji Oki, Ichiro Takemasa, Ehud Rivlin, Roman Goldenberg:
Predicting Generalization of AI Colonoscopy Models to Unseen Data. CoRR abs/2403.09920 (2024) - 2023
- [c12]Joel Shor, Ruyue Agnes Bi, Subhashini Venugopalan, Steven Ibara, Roman Goldenberg, Ehud Rivlin:
Clinical BERTScore: An Improved Measure of Automatic Speech Recognition Performance in Clinical Settings. ClinicalNLP@ACL 2023: 1-7 - [i18]Joel Shor, Ruyue Agnes Bi, Subhashini Venugopalan, Steven Ibara, Roman Goldenberg, Ehud Rivlin:
Clinical BERTScore: An Improved Measure of Automatic Speech Recognition Performance in Clinical Settings. CoRR abs/2303.05737 (2023) - [i17]Joel Shor, Hiro-o Yamano, Daisuke Tsurumaru, Yotam Intrator, Hiroki Kayama, Joseph R. Ledsam, Atsushi Hamabe, Koji Ando, Mitsuhiko Ota, Haruei Ogino, Hiroshi Nakase, Kaho Kobayashi, Eiji Oki, Roman Goldenberg, Ehud Rivlin, Ichiro Takemasa:
The unreasonable effectiveness of AI CADe polyp detectors to generalize to new countries. CoRR abs/2312.06833 (2023) - 2022
- [j2]Yu Zhang, Daniel S. Park, Wei Han, James Qin, Anmol Gulati, Joel Shor, Aren Jansen, Yuanzhong Xu, Yanping Huang, Shibo Wang, Zongwei Zhou, Bo Li, Min Ma, William Chan, Jiahui Yu, Yongqiang Wang, Liangliang Cao, Khe Chai Sim, Bhuvana Ramabhadran, Tara N. Sainath, Françoise Beaufays, Zhifeng Chen, Quoc V. Le, Chung-Cheng Chiu, Ruoming Pang, Yonghui Wu:
BigSSL: Exploring the Frontier of Large-Scale Semi-Supervised Learning for Automatic Speech Recognition. IEEE J. Sel. Top. Signal Process. 16(6): 1519-1532 (2022) - [c11]Joel Shor, Aren Jansen, Wei Han, Daniel S. Park, Yu Zhang:
Universal Paralinguistic Speech Representations Using self-Supervised Conformers. ICASSP 2022: 3169-3173 - [c10]Joel Shor, Subhashini Venugopalan:
TRILLsson: Distilled Universal Paralinguistic Speech Representations. INTERSPEECH 2022: 356-360 - [i16]Joel Shor, Subhashini Venugopalan:
TRILLsson: Distilled Universal Paralinguistic Speech Representations. CoRR abs/2203.00236 (2022) - [i15]Joel Shor, Nick Johnston:
The Need for Medically Aware Video Compression in Gastroenterology. CoRR abs/2211.01472 (2022) - [i14]Anastasiya Belyaeva, Joel Shor, Daniel E. Cook, Kishwar Shafin, Daniel Liu, Armin Töpfer, Aaron M. Wenger, William J. Rowell, Howard Yang, Alexey Kolesnikov, Cory Y. McLean, Maria Nattestad, Andrew Carroll, Pi-Chuan Chang:
Knowledge distillation for fast and accurate DNA sequence correction. CoRR abs/2211.09862 (2022) - 2021
- [j1]Sercan Ö. Arik, Joel Shor, Rajarishi Sinha, Jinsung Yoon, Joseph R. Ledsam, Long T. Le, Michael W. Dusenberry, Nathanael C. Yoder, Kris Popendorf, Arkady Epshteyn, Johan Euphrosine, Elli Kanal, Isaac Jones, Chun-Liang Li, Beth Luan, Joe Mckenna, Vikas Menon, Shashank Singh, Mimi Sun, Ashwin Sura Ravi, Leyou Zhang, Dario Sava, Kane Cunningham, Hiroki Kayama, Thomas C. Tsai, Daisuke Yoneoka, Shuhei Nomura, Hiroaki Miyata, Tomas Pfister:
A prospective evaluation of AI-augmented epidemiology to forecast COVID-19 in the USA and Japan. npj Digit. Medicine 4 (2021) - [c9]Jacob Peplinski, Joel Shor, Sachin Joglekar, Jake Garrison, Shwetak N. Patel:
FRILL: A Non-Semantic Speech Embedding for Mobile Devices. Interspeech 2021: 1204-1208 - [c8]Subhashini Venugopalan, Joel Shor, Manoj Plakal, Jimmy Tobin, Katrin Tomanek, Jordan R. Green, Michael P. Brenner:
Comparing Supervised Models and Learned Speech Representations for Classifying Intelligibility of Disordered Speech on Selected Phrases. Interspeech 2021: 4843-4847 - [i13]Subhashini Venugopalan, Joel Shor, Manoj Plakal, Jimmy Tobin, Katrin Tomanek, Jordan R. Green, Michael P. Brenner:
Comparing Supervised Models And Learned Speech Representations For Classifying Intelligibility Of Disordered Speech On Selected Phrases. CoRR abs/2107.03985 (2021) - [i12]Yu Zhang, Daniel S. Park, Wei Han, James Qin, Anmol Gulati, Joel Shor, Aren Jansen, Yuanzhong Xu, Yanping Huang, Shibo Wang, Zongwei Zhou, Bo Li, Min Ma, William Chan, Jiahui Yu, Yongqiang Wang, Liangliang Cao, Khe Chai Sim, Bhuvana Ramabhadran, Tara N. Sainath, Françoise Beaufays, Zhifeng Chen, Quoc V. Le, Chung-Cheng Chiu, Ruoming Pang, Yonghui Wu:
BigSSL: Exploring the Frontier of Large-Scale Semi-Supervised Learning for Automatic Speech Recognition. CoRR abs/2109.13226 (2021) - [i11]Joel Shor, Aren Jansen, Wei Han, Daniel S. Park, Yu Zhang:
Universal Paralinguistic Speech Representations Using Self-Supervised Conformers. CoRR abs/2110.04621 (2021) - 2020
- [c7]Joel Shor, Aren Jansen, Ronnie Maor, Oran Lang, Omry Tuval, Félix de Chaumont Quitry, Marco Tagliasacchi, Ira Shavitt, Dotan Emanuel, Yinnon Haviv:
Towards Learning a Universal Non-Semantic Representation of Speech. INTERSPEECH 2020: 140-144 - [i10]Joel Shor, Aren Jansen, Ronnie Maor, Oran Lang, Omry Tuval, Felix de Chaumont Quitry, Marco Tagliasacchi, Ira Shavitt, Dotan Emanuel, Yinnon Haviv:
Towards Learning a Universal Non-Semantic Representation of Speech. CoRR abs/2002.12764 (2020) - [i9]Jacob Peplinski, Joel Shor, Sachin Joglekar, Jake Garrison, Shwetak N. Patel:
FUN! Fast, Universal, Non-Semantic Speech Embeddings. CoRR abs/2011.04609 (2020)
2010 – 2019
- 2019
- [c6]Joel Shor, Dotan Emanuel, Oran Lang, Omry Tuval, Michael P. Brenner, Julie Cattiau, Fernando Vieira, Maeve McNally, Taylor Charbonneau, Melissa Nollstadt, Avinatan Hassidim, Yossi Matias:
Personalizing ASR for Dysarthric and Accented Speech with Limited Data. INTERSPEECH 2019: 784-788 - [i8]Joel Shor, Dotan Emanuel, Oran Lang, Omry Tuval, Michael P. Brenner, Julie Cattiau, Fernando Vieira, Maeve McNally, Taylor Charbonneau, Melissa Nollstadt, Avinatan Hassidim, Yossi Matias:
Personalizing ASR for Dysarthric and Accented Speech with Limited Data. CoRR abs/1907.13511 (2019) - 2018
- [c5]Nick Johnston, Damien Vincent, David Minnen, Michele Covell, Saurabh Singh, Troy T. Chinen, Sung Jin Hwang, Joel Shor, George Toderici:
Improved Lossy Image Compression With Priming and Spatially Adaptive Bit Rates for Recurrent Networks. CVPR 2018: 4385-4393 - [c4]R. J. Skerry-Ryan, Eric Battenberg, Ying Xiao, Yuxuan Wang, Daisy Stanton, Joel Shor, Ron J. Weiss, Rob Clark, Rif A. Saurous:
Towards End-to-End Prosody Transfer for Expressive Speech Synthesis with Tacotron. ICML 2018: 4700-4709 - [c3]Yuxuan Wang, Daisy Stanton, Yu Zhang, R. J. Skerry-Ryan, Eric Battenberg, Joel Shor, Ying Xiao, Ye Jia, Fei Ren, Rif A. Saurous:
Style Tokens: Unsupervised Style Modeling, Control and Transfer in End-to-End Speech Synthesis. ICML 2018: 5167-5176 - [i7]David Minnen, George Toderici, Michele Covell, Troy T. Chinen, Nick Johnston, Joel Shor, Sung Jin Hwang, Damien Vincent, Saurabh Singh:
Spatially adaptive image compression using a tiled deep network. CoRR abs/1802.02629 (2018) - [i6]Yuxuan Wang, Daisy Stanton, Yu Zhang, R. J. Skerry-Ryan, Eric Battenberg, Joel Shor, Ying Xiao, Fei Ren, Ye Jia, Rif A. Saurous:
Style Tokens: Unsupervised Style Modeling, Control and Transfer in End-to-End Speech Synthesis. CoRR abs/1803.09017 (2018) - [i5]R. J. Skerry-Ryan, Eric Battenberg, Ying Xiao, Yuxuan Wang, Daisy Stanton, Joel Shor, Ron J. Weiss, Rob Clark, Rif A. Saurous:
Towards End-to-End Prosody Transfer for Expressive Speech Synthesis with Tacotron. CoRR abs/1803.09047 (2018) - 2017
- [c2]George Toderici, Damien Vincent, Nick Johnston, Sung Jin Hwang, David Minnen, Joel Shor, Michele Covell:
Full Resolution Image Compression with Recurrent Neural Networks. CVPR 2017: 5435-5443 - [c1]David Minnen, George Toderici, Michele Covell, Troy T. Chinen, Nick Johnston, Joel Shor, Sung Jin Hwang, Damien Vincent, Saurabh Singh:
Spatially adaptive image compression using a tiled deep network. ICIP 2017: 2796-2800 - [i4]Nick Johnston, Damien Vincent, David Minnen, Michele Covell, Saurabh Singh, Troy T. Chinen, Sung Jin Hwang, Joel Shor, George Toderici:
Improved Lossy Image Compression with Priming and Spatially Adaptive Bit Rates for Recurrent Networks. CoRR abs/1703.10114 (2017) - [i3]Michele Covell, Nick Johnston, David Minnen, Sung Jin Hwang, Joel Shor, Saurabh Singh, Damien Vincent, George Toderici:
Target-Quality Image Compression with Recurrent, Convolutional Neural Networks. CoRR abs/1705.06687 (2017) - [i2]Yuxuan Wang, R. J. Skerry-Ryan, Ying Xiao, Daisy Stanton, Joel Shor, Eric Battenberg, Rob Clark, Rif A. Saurous:
Uncovering Latent Style Factors for Expressive Speech Synthesis. CoRR abs/1711.00520 (2017) - 2016
- [i1]George Toderici, Damien Vincent, Nick Johnston, Sung Jin Hwang, David Minnen, Joel Shor, Michele Covell:
Full Resolution Image Compression with Recurrent Neural Networks. CoRR abs/1608.05148 (2016)
Coauthor Index
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