| The pile: An 800gb dataset of diverse text for language modeling L Gao, S Biderman, S Black, L Golding, T Hoppe, C Foster, J Phang, H He, ... arXiv preprint arXiv:2101.00027, 2020 | 1060* | 2020 |
| Gpt-neox-20b: An open-source autoregressive language model S Black, S Biderman, E Hallahan, Q Anthony, L Gao, L Golding, H He, ... arXiv preprint arXiv:2204.06745, 2022 | 500 | 2022 |
| Measuring coding challenge competence with apps D Hendrycks, S Basart, S Kadavath, M Mazeika, A Arora, E Guo, C Burns, ... arXiv preprint arXiv:2105.09938, 2021 | 305 | 2021 |
| Combining Label Propagation and Simple Models Out-performs Graph Neural Networks Q Huang*, H He*, A Singh, SN Lim, AR Benson ICLR 2021 (International Conference on Learning Representations), 2020 | 295 | 2020 |
| Enhancing Adversarial Example Transferability with an Intermediate Level Attack Q Huang*, I Katsman*, H He*, Z Gu*, S Belongie, SN Lim ICCV 2019 (IEEE International Conference on Computer Vision), 2019 | 232 | 2019 |
| The state of machine learning frameworks in 2019 H He The Gradient 2019, 2019 | 74 | 2019 |
| Value learning for throughput optimization of deep learning workloads B Steiner, C Cummins, H He, H Leather Proceedings of Machine Learning and Systems 3, 323-334, 2021 | 48 | 2021 |
| torch. fx: Practical program capture and transformation for deep learning in python J Reed, Z DeVito, H He, A Ussery, J Ansel Proceedings of Machine Learning and Systems 4, 638-651, 2022 | 29 | 2022 |
| Gpt-neox-20b: An open-source autoregressive language model, 2022 S Black, S Biderman, E Hallahan, Q Anthony, L Gao, L Golding, H He, ... URL https://arxiv. org/abs/2204.06745, 2022 | 26 | 2022 |
| functorch: Jax-like composable function transforms for pytorch H He, R Zou | 23 | 2021 |
| Edge proposal sets for link prediction A Singh, Q Huang, SL Huang, O Bhalerao, H He, SN Lim, AR Benson arXiv preprint arXiv:2106.15810, 2021 | 18 | 2021 |
| Better Set Representations For Relational Reasoning Q Huang*, H He*, A Singh, Y Zhang, SN Lim, A Benson NeurIPS 2020, 2020 | 18 | 2020 |
| Geometry Types for Graphics Programming D GEISLER, I YOON, H HE, A KABRA, Y SANDERS OOPSLA 2020 (Object-oriented Programming, Systems, Languages, and Applications), 2020 | 8 | 2020 |
| PyTorch 2: Faster Machine Learning Through Dynamic Python Bytecode Transformation and Graph Compilation J Ansel, E Yang, H He, N Gimelshein, A Jain, M Voznesensky, B Bao, ... Proceedings of the 29th ACM International Conference on Architectural …, 2024 | 4 | 2024 |
| Transcending runtime-memory tradeoffs in checkpointing by being fusion aware H He, S Yu Proceedings of Machine Learning and Systems 5, 2023 | 1 | 2023 |
| Adversarial Example Decomposition H He, A Lou*, Q Jiang*, I Katsman, P Pawakapan, S Belongie, SN Lim ICML, SPML 2019 (International Conference on Machine Learning, Workshop on …, 2018 | | 2018 |
Austin R BensonVerified email at deshaw.com
