Summary of Addressing Representation Collapse in Vector Quantized Models with One Linear Layer, by Yongxin Zhu et al.
Addressing Representation Collapse in Vector Quantized Models with One Linear Layerby Yongxin Zhu, Bocheng Li,…
Summary of Conformalized High-density Quantile Regression Via Dynamic Prototypes-based Probability Density Estimation, by Batuhan Cengiz et al.
Conformalized High-Density Quantile Regression via Dynamic Prototypes-based Probability Density Estimationby Batuhan Cengiz, Halil Faruk Karagoz,…
Summary of Abstracted Shapes As Tokens — a Generalizable and Interpretable Model For Time-series Classification, by Yunshi Wen et al.
Abstracted Shapes as Tokens – A Generalizable and Interpretable Model for Time-series Classificationby Yunshi Wen,…
Summary of Accelerated Ai Inference Via Dynamic Execution Methods, by Haim Barad et al.
Accelerated AI Inference via Dynamic Execution Methodsby Haim Barad, Jascha Achterberg, Tien Pei Chou, Jean…
Summary of Gwq: Gradient-aware Weight Quantization For Large Language Models, by Yihua Shao et al.
GWQ: Gradient-Aware Weight Quantization for Large Language Modelsby Yihua Shao, Siyu Liang, Zijian Ling, Minxi…
Summary of Arq: a Mixed-precision Quantization Framework For Accurate and Certifiably Robust Dnns, by Yuchen Yang et al.
ARQ: A Mixed-Precision Quantization Framework for Accurate and Certifiably Robust DNNsby Yuchen Yang, Shubham Ugare,…
Summary of Bitstack: Any-size Compression Of Large Language Models in Variable Memory Environments, by Xinghao Wang et al.
BitStack: Any-Size Compression of Large Language Models in Variable Memory Environmentsby Xinghao Wang, Pengyu Wang,…
Summary of Breaking Determinism: Fuzzy Modeling Of Sequential Recommendation Using Discrete State Space Diffusion Model, by Wenjia Xie et al.
Breaking Determinism: Fuzzy Modeling of Sequential Recommendation Using Discrete State Space Diffusion Modelby Wenjia Xie,…
Summary of Data Generation For Hardware-friendly Post-training Quantization, by Lior Dikstein et al.
Data Generation for Hardware-Friendly Post-Training Quantizationby Lior Dikstein, Ariel Lapid, Arnon Netzer, Hai Victor HabiFirst…
Summary of The Impact Of Inference Acceleration on Bias Of Llms, by Elisabeth Kirsten et al.
The Impact of Inference Acceleration on Bias of LLMsby Elisabeth Kirsten, Ivan Habernal, Vedant Nanda,…