Active Learning for Speech Recognition: the Power of Gradients. - Jiaji Huang; Rewon Child; Vinay Rao; Hairong Liu; Sanjeev Satheesh; Adam Coates 002 (CoRR, 2016)

Exploring neural transducers for end-to-end speech recognition. - Eric Battenberg; Jitong Chen; Rewon Child; Adam Coates 002; Yashesh Gaur; Yi Li; Hairong Liu; Sanjeev Satheesh; Anuroop Sriram; Zhenyao Zhu (ASRU, 2017)

Convolutional Recurrent Neural Networks for Small-Footprint Keyword Spotting. - Sercan Ömer Arik; Markus Kliegl; Rewon Child; Joel Hestness; Andrew Gibiansky; Christopher Fougner; Ryan Prenger; Adam Coates 002 (INTERSPEECH, 2017)

Exploring Neural Transducers for End-to-End Speech Recognition. - Eric Battenberg; Jitong Chen; Rewon Child; Adam Coates 002; Yashesh Gaur; Yi Li; Hairong Liu; Sanjeev Satheesh; David Seetapun; Anuroop Sriram; Zhenyao Zhu (CoRR, 2017)

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)

Generating Long Sequences with Sparse Transformers. - Rewon Child; Scott Gray; Alec Radford; Ilya Sutskever (CoRR, 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)

Language Models are Few-Shot Learners. - Tom B. Brown; Benjamin Mann; Nick Ryder; Melanie Subbiah; Jared Kaplan; Prafulla Dhariwal; Arvind Neelakantan; Pranav Shyam; Girish Sastry; Amanda Askell; Sandhini Agarwal; Ariel Herbert-Voss; et al. (NeurIPS, 2020)

Scaling Laws for Neural Language Models. - Jared Kaplan; Sam McCandlish; Tom Henighan; Tom B. Brown; Benjamin Chess; Rewon Child; Scott Gray; Alec Radford; Jeffrey Wu 003; Dario Amodei (CoRR, 2020)

Very Deep VAEs Generalize Autoregressive Models and Can Outperform Them on Images. - Rewon Child (ICLR, 2021)

Using DeepSpeed and Megatron to Train Megatron-Turing NLG 530B, A Large-Scale Generative Language Model. - Shaden Smith; Mostofa Patwary; Brandon Norick; Patrick LeGresley; Samyam Rajbhandari; Jared Casper; Zhun Liu; Shrimai Prabhumoye; George Zerveas; Vijay Korthikanti; Elton Zheng; Rewon Child; et al. (CoRR, 2022)

PaLM: Scaling Language Modeling with Pathways. - Aakanksha Chowdhery; Sharan Narang; Jacob Devlin; Maarten Bosma; Gaurav Mishra; Adam Roberts; Paul Barham 001; Hyung Won Chung; Charles Sutton; Sebastian Gehrmann; Parker Schuh; Kensen Shi; et al. (J. Mach. Learn. Res., 2023)