Summary of Representational Transfer Learning For Matrix Completion, by Yong He and Zeyu Li and Dong Liu and Kangxiang Qin and Jiahui Xie
Representational Transfer Learning for Matrix Completionby Yong He, Zeyu Li, Dong Liu, Kangxiang Qin, Jiahui…
Summary of Does Rlhf Scale? Exploring the Impacts From Data, Model, and Method, by Zhenyu Hou et al.
Does RLHF Scale? Exploring the Impacts From Data, Model, and Methodby Zhenyu Hou, Pengfan Du,…
Summary of Fully Distributed Online Training Of Graph Neural Networks in Networked Systems, by Rostyslav Olshevskyi et al.
Fully Distributed Online Training of Graph Neural Networks in Networked Systemsby Rostyslav Olshevskyi, Zhongyuan Zhao,…
Summary of Open-source Acceleration Of Stable-diffusion.cpp Deployable on All Devices, by Jingxu Ng et al.
Open-Source Acceleration of Stable-Diffusion.cpp Deployable on All Devicesby Jingxu Ng, Cheng Lv, Pu Zhao, Wei…
Summary of Language-guided Image Tokenization For Generation, by Kaiwen Zha et al.
Language-Guided Image Tokenization for Generationby Kaiwen Zha, Lijun Yu, Alireza Fathi, David A. Ross, Cordelia…
Summary of Xkv: Personalized Kv Cache Memory Reduction For Long-context Llm Inference, by Weizhuo Li et al.
XKV: Personalized KV Cache Memory Reduction for Long-Context LLM Inferenceby Weizhuo Li, Zhigang Wang, Yu…
Summary of Active Sequential Posterior Estimation For Sample-efficient Simulation-based Inference, by Sam Griesemer et al.
Active Sequential Posterior Estimation for Sample-Efficient Simulation-Based Inferenceby Sam Griesemer, Defu Cao, Zijun Cui, Carolina…
Summary of Training-free Bayesianization For Low-rank Adapters Of Large Language Models, by Haizhou Shi et al.
Training-Free Bayesianization for Low-Rank Adapters of Large Language Modelsby Haizhou Shi, Yibin Wang, Ligong Han,…
Summary of Multi-objective Alignment Of Large Language Models Through Hypervolume Maximization, by Subhojyoti Mukherjee et al.
Multi-Objective Alignment of Large Language Models Through Hypervolume Maximizationby Subhojyoti Mukherjee, Anusha Lalitha, Sailik Sengupta,…
Summary of Privacy Drift: Evolving Privacy Concerns in Incremental Learning, by Sayyed Farid Ahamed et al.
Privacy Drift: Evolving Privacy Concerns in Incremental Learningby Sayyed Farid Ahamed, Soumya Banerjee, Sandip Roy,…