Heewoo Jun

Publications by Year

Research Areas

Topic Modeling, Speech Recognition and Synthesis, Natural Language Processing Techniques, Generative Adversarial Networks and Image Synthesis, Speech and Audio Processing

Most-Cited Works

• → Evaluating Large Language Models Trained on Code(2021)1,403 cited
• Generative Pretraining From Pixels(2020)
• → Deep Learning Scaling is Predictable, Empirically(2017)417 cited
• → Point-E: A System for Generating 3D Point Clouds from Complex Prompts(2022)157 cited
• → Scaling Laws for Autoregressive Generative Modeling(2020)149 cited
• → Fast Spectrogram Inversion Using Multi-Head Convolutional Neural Networks(2018)121 cited
• → Shap-E: Generating Conditional 3D Implicit Functions(2023)112 cited
• → Jukebox: A Generative Model for Music(2020)108 cited
• → Cold Fusion: Training Seq2Seq Models Together with Language Models(2018)51 cited
• → Efficient Training of Language Models to Fill in the Middle(2022)44 cited