Summary of Applying Sparse Autoencoders to Unlearn Knowledge in Language Models, by Eoin Farrell et al.
Applying sparse autoencoders to unlearn knowledge in language modelsby Eoin Farrell, Yeu-Tong Lau, Arthur ConmyFirst…
Summary of Golden Ratio-based Sufficient Dimension Reduction, by Wenjing Yang and Yuhong Yang
Golden Ratio-Based Sufficient Dimension Reductionby Wenjing Yang, Yuhong YangFirst submitted to arxiv on: 25 Oct…
Summary of Flow Generator Matching, by Zemin Huang and Zhengyang Geng and Weijian Luo and Guo-jun Qi
Flow Generator Matchingby Zemin Huang, Zhengyang Geng, Weijian Luo, Guo-jun QiFirst submitted to arxiv on:…
Summary of A Stock Price Prediction Approach Based on Time Series Decomposition and Multi-scale Cnn Using Ohlct Images, by Zhiyuan Pei et al.
A Stock Price Prediction Approach Based on Time Series Decomposition and Multi-Scale CNN using OHLCT…
Summary of Coat: Compressing Optimizer States and Activation For Memory-efficient Fp8 Training, by Haocheng Xi et al.
COAT: Compressing Optimizer states and Activation for Memory-Efficient FP8 Trainingby Haocheng Xi, Han Cai, Ligeng…
Summary of A Prescriptive Theory For Brain-like Inference, by Hadi Vafaii et al.
A prescriptive theory for brain-like inferenceby Hadi Vafaii, Dekel Galor, Jacob L. YatesFirst submitted to…
Summary of Two Are Better Than One: Context Window Extension with Multi-grained Self-injection, by Wei Han et al.
Two are better than one: Context window extension with multi-grained self-injectionby Wei Han, Pan Zhou,…
Summary of Simpler Diffusion (sid2): 1.5 Fid on Imagenet512 with Pixel-space Diffusion, by Emiel Hoogeboom et al.
Simpler Diffusion (SiD2): 1.5 FID on ImageNet512 with pixel-space diffusionby Emiel Hoogeboom, Thomas Mensink, Jonathan…
Summary of Interpreting Neural Networks Through Mahalanobis Distance, by Alan Oursland
Interpreting Neural Networks through Mahalanobis Distanceby Alan OurslandFirst submitted to arxiv on: 25 Oct 2024CategoriesMain:…
Summary of Febim: Efficient and Compact Bayesian Inference Engine Empowered with Ferroelectric In-memory Computing, by Chao Li et al.
FeBiM: Efficient and Compact Bayesian Inference Engine Empowered with Ferroelectric In-Memory Computingby Chao Li, Zhicheng…