Reducing Bias in Production Speech Models. - Eric Battenberg; Rewon Child; Adam Coates 002; Christopher Fougner; Yashesh Gaur; Jiaji Huang; Heewoo Jun; Ajay Kannan; Markus Kliegl; Atul Kumar; Hairong Liu; Vinay Rao; et al. (CoRR, 2017)

Deep Learning Scaling is Predictable, Empirically. - Joel Hestness; Sharan Narang; Newsha Ardalani; Gregory F. Diamos; Heewoo Jun; Hassan Kianinejad; Md. Mostofa Ali Patwary; Yang Yang; Yanqi Zhou (CoRR, 2017)

Robust Speech Recognition Using Generative Adversarial Networks. - Anuroop Sriram; Heewoo Jun; Yashesh Gaur; Sanjeev Satheesh (ICASSP, 2018)

Cold Fusion: Training Seq2Seq Models Together with Language Models. - Anuroop Sriram; Heewoo Jun; Sanjeev Satheesh; Adam Coates 002 (INTERSPEECH, 2018)

Language Modeling at Scale. - Md. Mostofa Ali Patwary; Milind Chabbi; Heewoo Jun; Jiaji Huang; Greg Diamos; Kenneth Church 001 (IPDPS, 2019)

Fast Spectrogram Inversion Using Multi-Head Convolutional Neural Networks. - Sercan Ömer Arik; Heewoo Jun; Gregory Frederick Diamos (IEEE Signal Process. Lett., 2019)

Generative Pretraining From Pixels. - Mark Chen 003; Alec Radford; Rewon Child; Jeffrey Wu 003; Heewoo Jun; David Luan; Ilya Sutskever (ICML, 2020)

Distribution Augmentation for Generative Modeling. - Heewoo Jun; Rewon Child; Mark Chen 003; John Schulman; Aditya Ramesh; Alec Radford; Ilya Sutskever (ICML, 2020)

Jukebox: A Generative Model for Music. - Prafulla Dhariwal; Heewoo Jun; Christine Payne; Jong Wook Kim; Alec Radford; Ilya Sutskever (CoRR, 2020)

Scaling Laws for Autoregressive Generative Modeling. - Tom Henighan; Jared Kaplan; Mor Katz; Mark Chen 003; Christopher Hesse; Jacob Jackson; Heewoo Jun; Tom B. Brown; Prafulla Dhariwal; Scott Gray; Chris Hallacy; Benjamin Mann; et al. (CoRR, 2020)

Evaluating Large Language Models Trained on Code. - Mark Chen 003; Jerry Tworek; Heewoo Jun; Qiming Yuan; Henrique Pondé de Oliveira Pinto; Jared Kaplan; Harri Edwards; Yuri Burda; Nicholas Joseph; Greg Brockman; Alex Ray; Raul Puri; et al. (CoRR, 2021)

Training Verifiers to Solve Math Word Problems. - Karl Cobbe; Vineet Kosaraju; Mohammad Bavarian; Mark Chen 003; Heewoo Jun; Lukasz Kaiser; Matthias Plappert; Jerry Tworek; Jacob Hilton; Reiichiro Nakano; Christopher Hesse; John Schulman (CoRR, 2021)

Efficient Training of Language Models to Fill in the Middle. - Mohammad Bavarian; Heewoo Jun; Nikolas Tezak; John Schulman; Christine McLeavey; Jerry Tworek; Mark Chen 003 (CoRR, 2022)

Point-E: A System for Generating 3D Point Clouds from Complex Prompts. - Alex Nichol; Heewoo Jun; Prafulla Dhariwal; Pamela Mishkin; Mark Chen 003 (CoRR, 2022)

Shap-E: Generating Conditional 3D Implicit Functions. - Heewoo Jun; Alex Nichol (CoRR, 2023)