Full Resolution Image Compression with Recurrent Neural Networks. - George Toderici; Damien Vincent; Nick Johnston; Sung Jin Hwang; David Minnen; Joel Shor; Michele Covell (CVPR, 2017)

Spatially adaptive image compression using a tiled deep network. - David Minnen; George Toderici; Michele Covell; Troy T. Chinen; Nick Johnston; Joel Shor; Sung Jin Hwang; Damien Vincent; Saurabh Singh (ICIP, 2017)

Target-Quality Image Compression with Recurrent, Convolutional Neural Networks. - Michele Covell; Nick Johnston; David Minnen; Sung Jin Hwang; Joel Shor; Saurabh Singh; Damien Vincent; George Toderici (CoRR, 2017)

Uncovering Latent Style Factors for Expressive Speech Synthesis. - Yuxuan Wang 002; R. J. Skerry-Ryan; Ying Xiao; Daisy Stanton; Joel Shor; Eric Battenberg; Rob Clark; Rif A. Saurous (CoRR, 2017)

Improved Lossy Image Compression With Priming and Spatially Adaptive Bit Rates for Recurrent Networks. - Nick Johnston; Damien Vincent; David Minnen; Michele Covell; Saurabh Singh; Troy T. Chinen; Sung Jin Hwang; Joel Shor; George Toderici (CVPR, 2018)

Towards End-to-End Prosody Transfer for Expressive Speech Synthesis with Tacotron. - R. J. Skerry-Ryan; Eric Battenberg; Ying Xiao; Yuxuan Wang 002; Daisy Stanton; Joel Shor; Ron J. Weiss; Rob Clark; Rif A. Saurous (ICML, 2018)

Style Tokens: Unsupervised Style Modeling, Control and Transfer in End-to-End Speech Synthesis. - Yuxuan Wang 002; Daisy Stanton; Yu Zhang 033; R. J. Skerry-Ryan; Eric Battenberg; Joel Shor; Ying Xiao; Ye Jia; Fei Ren; Rif A. Saurous (ICML, 2018)

Personalizing ASR for Dysarthric and Accented Speech with Limited Data. - 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 (INTERSPEECH, 2019)

Towards Learning a Universal Non-Semantic Representation of Speech. - Joel Shor; Aren Jansen; Ronnie Maor; Oran Lang; Omry Tuval; Félix de Chaumont Quitry; Marco Tagliasacchi; Ira Shavitt; Dotan Emanuel; Yinnon Haviv (INTERSPEECH, 2020)

FUN! Fast, Universal, Non-Semantic Speech Embeddings. - Jacob Peplinski; Joel Shor; Sachin Joglekar; Jake Garrison; Shwetak N. Patel (CoRR, 2020)

FRILL: A Non-Semantic Speech Embedding for Mobile Devices. - Jacob Peplinski; Joel Shor; Sachin Joglekar; Jake Garrison; Shwetak N. Patel (Interspeech, 2021)

Comparing Supervised Models and Learned Speech Representations for Classifying Intelligibility of Disordered Speech on Selected Phrases. - Subhashini Venugopalan; Joel Shor; Manoj Plakal; Jimmy Tobin; Katrin Tomanek; Jordan R. Green; Michael P. Brenner (Interspeech, 2021)

A prospective evaluation of AI-augmented epidemiology to forecast COVID-19 in the USA and Japan. - 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; et al. (npj Digit. Medicine, 2021)

Universal Paralinguistic Speech Representations Using self-Supervised Conformers. - Joel Shor; Aren Jansen; Wei Han 002; Daniel S. Park; Yu Zhang 033 (ICASSP, 2022)

TRILLsson: Distilled Universal Paralinguistic Speech Representations. - Joel Shor; Subhashini Venugopalan (INTERSPEECH, 2022)

The Need for Medically Aware Video Compression in Gastroenterology. - Joel Shor; Nick Johnston (CoRR, 2022)

Knowledge distillation for fast and accurate DNA sequence correction. - 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; et al. (CoRR, 2022)

BigSSL: Exploring the Frontier of Large-Scale Semi-Supervised Learning for Automatic Speech Recognition. - Yu Zhang 033; Daniel S. Park; Wei Han 002; James Qin; Anmol Gulati; Joel Shor; Aren Jansen; Yuanzhong Xu; Yanping Huang; Shibo Wang; Zongwei Zhou; Bo Li 028; et al. (IEEE J. Sel. Top. Signal Process., 2022)

Clinical BERTScore: An Improved Measure of Automatic Speech Recognition Performance in Clinical Settings. - Joel Shor; Ruyue Agnes Bi; Subhashini Venugopalan; Steven Ibara; Roman Goldenberg; Ehud Rivlin (ClinicalNLP@ACL, 2023)

The unreasonable effectiveness of AI CADe polyp detectors to generalize to new countries. - 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; et al. (CoRR, 2023)

Predicting Generalization of AI Colonoscopy Models to Unseen Data. - 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; et al. (CoRR, 2024)

Predicting the generalization of computer aided detection (CADe) models for colonoscopy. - 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; et al. (Discov. Artif. Intell., 2024)