Summary of Timecnn: Refining Cross-variable Interaction on Time Point For Time Series Forecasting, by Ao Hu et al.
TimeCNN: Refining Cross-Variable Interaction on Time Point for Time Series Forecastingby Ao Hu, Dongkai Wang,…
Summary of On the Adversarial Risk Of Test Time Adaptation: An Investigation Into Realistic Test-time Data Poisoning, by Yongyi Su and Yushu Li and Nanqing Liu and Kui Jia and Xulei Yang and Chuan-sheng Foo and Xun Xu
On the Adversarial Risk of Test Time Adaptation: An Investigation into Realistic Test-Time Data Poisoningby…
Summary of Videoguide: Improving Video Diffusion Models Without Training Through a Teacher’s Guide, by Dohun Lee et al.
VideoGuide: Improving Video Diffusion Models without Training Through a Teacher’s Guideby Dohun Lee, Bryan S…
Summary of Attention Shift: Steering Ai Away From Unsafe Content, by Shivank Garg and Manyana Tiwari
Attention Shift: Steering AI Away from Unsafe Contentby Shivank Garg, Manyana TiwariFirst submitted to arxiv…
Summary of Revisiting In-context Learning Inference Circuit in Large Language Models, by Hakaze Cho et al.
Revisiting In-context Learning Inference Circuit in Large Language Modelsby Hakaze Cho, Mariko Kato, Yoshihiro Sakai,…
Summary of Multi-step Time Series Inference Agent For Reasoning and Automated Task Execution, by Wen Ye et al.
Multi-Step Time Series Inference Agent for Reasoning and Automated Task Executionby Wen Ye, Yizhou Zhang,…
Summary of Conda: Fast Federated Unlearning with Contribution Dampening, by Vikram S Chundawat et al.
ConDa: Fast Federated Unlearning with Contribution Dampeningby Vikram S Chundawat, Pushkar Niroula, Prasanna Dhungana, Stefan…
Summary of Llm-topla: Efficient Llm Ensemble by Maximising Diversity, By Selim Furkan Tekin et al.
LLM-TOPLA: Efficient LLM Ensemble by Maximising Diversityby Selim Furkan Tekin, Fatih Ilhan, Tiansheng Huang, Sihao…
Summary of Swiftkv: Fast Prefill-optimized Inference with Knowledge-preserving Model Transformation, by Aurick Qiao et al.
SwiftKV: Fast Prefill-Optimized Inference with Knowledge-Preserving Model Transformationby Aurick Qiao, Zhewei Yao, Samyam Rajbhandari, Yuxiong…
Summary of Learning Truncated Causal History Model For Video Restoration, by Amirhosein Ghasemabadi et al.
Learning Truncated Causal History Model for Video Restorationby Amirhosein Ghasemabadi, Muhammad Kamran Janjua, Mohammad Salameh,…