Summary of Better Schedules For Low Precision Training Of Deep Neural Networks, by Cameron R. Wolfe and Anastasios Kyrillidis
Better Schedules for Low Precision Training of Deep Neural Networksby Cameron R. Wolfe, Anastasios KyrillidisFirst…
Summary of Neural Redshift: Random Networks Are Not Random Functions, by Damien Teney et al.
Neural Redshift: Random Networks are not Random Functionsby Damien Teney, Armand Nicolicioiu, Valentin Hartmann, Ehsan…
Summary of A Prediction Rigidity Formalism For Low-cost Uncertainties in Trained Neural Networks, by Filippo Bigi et al.
A prediction rigidity formalism for low-cost uncertainties in trained neural networksby Filippo Bigi, Sanggyu Chong,…
Summary of Soft-constrained Schrodinger Bridge: a Stochastic Control Approach, by Jhanvi Garg et al.
Soft-constrained Schrodinger Bridge: a Stochastic Control Approachby Jhanvi Garg, Xianyang Zhang, Quan ZhouFirst submitted to…
Summary of Dyce: Dynamically Configurable Exiting For Deep Learning Compression and Real-time Scaling, by Qingyuan Wang et al.
DyCE: Dynamically Configurable Exiting for Deep Learning Compression and Real-time Scalingby Qingyuan Wang, Barry Cardiff,…
Summary of Coms2t: a Complementary Spatiotemporal Learning System For Data-adaptive Model Evolution, by Zhengyang Zhou et al.
ComS2T: A complementary spatiotemporal learning system for data-adaptive model evolutionby Zhengyang Zhou, Qihe Huang, Binwu…
Summary of Differentially Private Synthetic Data Via Foundation Model Apis 2: Text, by Chulin Xie et al.
Differentially Private Synthetic Data via Foundation Model APIs 2: Textby Chulin Xie, Zinan Lin, Arturs…
Summary of Open-world Machine Learning: a Review and New Outlooks, by Fei Zhu et al.
Open-world Machine Learning: A Review and New Outlooksby Fei Zhu, Shijie Ma, Zhen Cheng, Xu-Yao…
Summary of Diffusion-ts: Interpretable Diffusion For General Time Series Generation, by Xinyu Yuan and Yan Qiao
Diffusion-TS: Interpretable Diffusion for General Time Series Generationby Xinyu Yuan, Yan QiaoFirst submitted to arxiv…
Summary of How Multimodal Integration Boost the Performance Of Llm For Optimization: Case Study on Capacitated Vehicle Routing Problems, by Yuxiao Huang et al.
How Multimodal Integration Boost the Performance of LLM for Optimization: Case Study on Capacitated Vehicle…