Summary of Out-of-distribution Rumor Detection Via Test-time Adaptation, by Xiang Tao et al.
Out-of-distribution Rumor Detection via Test-Time Adaptationby Xiang Tao, Mingqing Zhang, Qiang Liu, Shu Wu, Liang…
Out-of-distribution Rumor Detection via Test-Time Adaptationby Xiang Tao, Mingqing Zhang, Qiang Liu, Shu Wu, Liang…
Tiny Models are the Computational Saver for Large Modelsby Qingyuan Wang, Barry Cardiff, Antoine Frappé,…
DataCook: Crafting Anti-Adversarial Examples for Healthcare Data Copyright Protectionby Sihan Shang, Jiancheng Yang, Zhenglong Sun,…
Using Stratified Sampling to Improve LIME Image Explanationsby Muhammad Rashid, Elvio G. Amparore, Enrico Ferrari,…
Towards a FAIR Documentation of Workflows and Models in Applied Mathematicsby Marco Reidelbach, Björn Schembera,…
Evaluating the Efficacy of Prompt-Engineered Large Multimodal Models Versus Fine-Tuned Vision Transformers in Image-Based Security…
D-PAD: Deep-Shallow Multi-Frequency Patterns Disentangling for Time Series Forecastingby Xiaobing Yuan, Ling ChenFirst submitted to…
On the Computational Complexity of Stackelberg Planning and Meta-Operator Verification: Technical Reportby Gregor Behnke, Marcel…
ReMamber: Referring Image Segmentation with Mamba Twisterby Yuhuan Yang, Chaofan Ma, Jiangchao Yao, Zhun Zhong,…
Addressing Social Misattributions of Large Language Models: An HCXAI-based Approachby Andrea Ferrario, Alberto Termine, Alessandro…