Summary of Matroid Semi-bandits in Sublinear Time, by Ruo-chun Tzeng et al.
Matroid Semi-Bandits in Sublinear Timeby Ruo-Chun Tzeng, Naoto Ohsaka, Kaito AriuFirst submitted to arxiv on:…
Summary of Knowledge Circuits in Pretrained Transformers, by Yunzhi Yao et al.
Knowledge Circuits in Pretrained Transformersby Yunzhi Yao, Ningyu Zhang, Zekun Xi, Mengru Wang, Ziwen Xu,…
Summary of Reinforced Model Predictive Control Via Trust-region Quasi-newton Policy Optimization, by Dean Brandner and Sergio Lucia
Reinforced Model Predictive Control via Trust-Region Quasi-Newton Policy Optimizationby Dean Brandner, Sergio LuciaFirst submitted to…
Summary of Cross-context Backdoor Attacks Against Graph Prompt Learning, by Xiaoting Lyu et al.
Cross-Context Backdoor Attacks against Graph Prompt Learningby Xiaoting Lyu, Yufei Han, Wei Wang, Hangwei Qian,…
Summary of Dmt-jepa: Discriminative Masked Targets For Joint-embedding Predictive Architecture, by Shentong Mo et al.
DMT-JEPA: Discriminative Masked Targets for Joint-Embedding Predictive Architectureby Shentong Mo, Sukmin YunFirst submitted to arxiv…
Summary of Exploring Context Window Of Large Language Models Via Decomposed Positional Vectors, by Zican Dong et al.
Exploring Context Window of Large Language Models via Decomposed Positional Vectorsby Zican Dong, Junyi Li,…
Summary of Are Images Indistinguishable to Humans Also Indistinguishable to Classifiers?, by Zebin You et al.
Are Images Indistinguishable to Humans Also Indistinguishable to Classifiers?by Zebin You, Xinyu Zhang, Hanzhong Guo,…
Summary of Fast-fedul: a Training-free Federated Unlearning with Provable Skew Resilience, by Thanh Trung Huynh et al.
Fast-FedUL: A Training-Free Federated Unlearning with Provable Skew Resilienceby Thanh Trung Huynh, Trong Bang Nguyen,…
Summary of Large Language Model-driven Curriculum Design For Mobile Networks, by Omar Erak et al.
Large Language Model-Driven Curriculum Design for Mobile Networksby Omar Erak, Omar Alhussein, Shimaa Naser, Nouf…
Summary of Forecastgrapher: Redefining Multivariate Time Series Forecasting with Graph Neural Networks, by Wanlin Cai et al.
ForecastGrapher: Redefining Multivariate Time Series Forecasting with Graph Neural Networksby Wanlin Cai, Kun Wang, Hao…