ANO : Faster is Better in Noisy Landscape
机构 * Independent Researcher(独立研究者)
Comments Under Review for ICLR 2026, 25 pages total with appendix, 7 figures, 12 tables
期刊&会议
International Conference on Learning Representations · 会议 · Machine Learning
机构 * Independent Researcher(独立研究者)
Comments Under Review for ICLR 2026, 25 pages total with appendix, 7 figures, 12 tables
机构 * School of Computing, KAIST(计算学院,韩国科学技术院)
Journal ref International Conference on Learning Representations (ICLR), 2024
机构 * MIT(麻省理工学院) ; NVIDIA(NVIDIA公司) ; CMU(卡内基梅隆大学) ; Princeton(普林斯顿大学) ; UC Berkeley(加州大学伯克利分校) ; SJTU(上海交通大学) ; Pika Labs(Pika实验室)
Comments ICLR 2025 Spotlight Quantization Library: https://github.com/mit-han-lab/deepcompressor Inference Engine: https://github.com/mit-han-lab/nunchaku Website: https://hanlab.mit.edu/projects/svdquant Demo: https://demo.nunchaku.tech/ Blog: https://hanlab.mit.edu/blog/svdquant
机构 * Department of Electrical Engineering and Automation, Aalto University, Finland(艾尔沃斯大学电子工程与自动化系) ; Department of Computer Science, Aalto University, Finland(艾尔沃斯大学计算机科学系) ; Center for Machine Vision and Signal Analysis, University of Oulu, Finland(奥卢大学机器视觉与信号分析中心)
Comments Accepted to ICLR 2025