| signSGD with majority vote is communication efficient and fault tolerant J Bernstein, J Zhao, K Azizzadenesheli, A Anandkumar arXiv preprint arXiv:1810.05291, 2018 | 196 | 2018 |
| Cost-effective training of deep cnns with active model adaptation SJ Huang, JW Zhao, ZY Liu Proceedings of the 24th ACM SIGKDD International Conference on Knowledge …, 2018 | 79 | 2018 |
| Learning compositional functions via multiplicative weight updates J Bernstein, J Zhao, M Meister, MY Liu, A Anandkumar, Y Yue Advances in neural information processing systems 33, 13319-13330, 2020 | 18 | 2020 |
| Lns-madam: Low-precision training in logarithmic number system using multiplicative weight update J Zhao, S Dai, R Venkatesan, B Zimmer, M Ali, MY Liu, B Khailany, ... IEEE Transactions on Computers 71 (12), 3179-3190, 2022 | 14 | 2022 |
| Incremental fourier neural operator J Zhao, RJ George, Y Zhang, Z Li, A Anandkumar arXiv preprint arXiv:2211.15188, 2022 | 12 | 2022 |
| Zero initialization: Initializing neural networks with only zeros and ones J Zhao, F Schäfer, A Anandkumar arXiv preprint arXiv:2110.12661, 2021 | 12 | 2021 |
| Zero initialization: Initializing residual networks with only zeros and ones J Zhao, FT Schaefer, A Anandkumar | 11 | 2021 |
| Inrank: Incremental low-rank learning J Zhao, Y Zhang, B Chen, F Schäfer, A Anandkumar arXiv preprint arXiv:2306.11250, 2023 | 7 | 2023 |
| Galore: Memory-efficient llm training by gradient low-rank projection J Zhao, Z Zhang, B Chen, Z Wang, A Anandkumar, Y Tian arXiv preprint arXiv:2403.03507, 2024 | 5 | 2024 |
| Anima Anandkumar, and Yuandong Tian J Zhao, Z Zhang, B Chen, Z Wang Galore: Memory-efficient llm training by gradient low-rank projection, 2024 | 5 | 2024 |
| Incremental Spectral Learning in Fourier Neural Operator J Zhao, RJ George, Z Li, A Anandkumar arXiv preprint arXiv:2211.15188, 2022 | 3 | 2022 |
| Machine learning training in logarithmic number system Z Jiawei, SH Dai, R Venkatesan, MY Liu, WJ Dally, A Anandkumar US Patent App. 17/346,100, 2022 | 3 | 2022 |
| Incremental Low-Rank Learning J Zhao, Y Zhang, B Chen, FT Schaefer, A Anandkumar Workshop on Efficient Systems for Foundation Models@ ICML2023, 2023 | | 2023 |
| Incremental Spatial and Spectral Learning of Neural Operators for Solving Large-Scale PDEs RJ George, J Zhao, J Kossaifi, Z Li, A Anandkumar arXiv e-prints, arXiv: 2211.15188, 2022 | | 2022 |
Anima AnandkumarCalifornia Institute of Technology and NVIDIAVerified email at caltech.edu
