Papers
Can Go AIs Be Adversarially Robust?
Tom Tseng, Euan McLean, Kellin Pelrine et al.
Can Large Language Models Derive High-Level Cognition from Low-Level and Fragmented Foundational Information?
Yang Liu, Xiaoping Wang, Kai Lu
Can LLMs Obfuscate Code? A Systematic Analysis of Large Language Models into Assembly Code Obfuscation
Seyedreza Mohseni, Seyedali Mohammadi, Deepa Tilwani et al.
Can LLMs Reliably Simulate Human Learner Actions? A Simulation Authoring Framework for Open-Ended Learning Environments
Amogh Mannekote, Adam Davies, Jina Kang et al.
Can LVLMs Obtain a Driver’s License? A Benchmark Towards Reliable AGI for Autonomous Driving
Yuhang Lu, Yichen Yao, Jiadong Tu et al.
Can Private Machine Learning Be Fair?
Joseph Rance, Filip Svoboda
Can Students Beyond the Teacher? Distilling Knowledge from Teacher’s Bias
Jianhua Zhang, Yi Gao, Ruyu Liu et al.
Can Watermarking Large Language Models Prevent Copyrighted Text Generation and Hide Training Data?
Michael-Andrei Panaitescu-Liess, Zora Che, Bang An et al.
Capability Instruction Tuning
Yi-Kai Zhang, De-Chuan Zhan, Han-Jia Ye
CAPrompt: Cyclic Prompt Aggregation for Pre-Trained Model Based Class Incremental Learning
Qiwei Li, Jiahuan Zhou
Capture Global Feature Statistics for One-Shot Federated Learning
Zenghao Guan, Yucan Zhou, Xiaoyan Gu
Capturing the Unseen: Vision-Free Facial Motion Capture Using Inertial Measurement Units
Youjia Wang, Yiwen Wu, Hengan Zhou et al.
CaRDiff: Video Salient Object Ranking Chain of Thought Reasoning for Saliency Prediction with Diffusion
Yunlong Tang, Gen Zhan, Li Yang et al.
CareBot: A Pioneering Full-Process Open-Source Medical Language Model
Lulu Zhao, Weihao Zeng, Xiaofeng Shi et al.
Cascaded Diffusion Models for Virtual Try-On: Improving Control and Resolution
Guangyuan Li, Yongkang Wang, Junsheng Luan et al.
CasFT: Future Trend Modeling for Information Popularity Prediction with Dynamic Cues-Driven Diffusion Models
Xin Jing, Yichen Jing, Yuhuan Lu et al.
CASUAL: Conditional Support Alignment for Domain Adaptation with Label Shift
Anh T Nguyen, Lam Tran, Anh Tong et al.
Category Prompt Mamba Network for Nuclei Segmentation and Classification
Ye Zhang, Zijie Fang, Yifeng Wang et al.
Cauchy Diffusion: A Heavy-tailed Denoising Diffusion Probabilistic Model for Speech Synthesis
Qi Lian, Yu Qi, Yueming Wang
Causal Discovery by Interventions via Integer Programming
Abdelmonem Elrefaey, Rong Pan
Causal Explanation of Quality of Parent-Child Interactions with Multimodal Behavioral Features (Student Abstract)
Katherine M. Guerrerio, Lujie Karen Chen, Lisa Berlin et al.
Causal Inference over Visual-Semantic-Aligned Graph for Image Classification
Lei Meng, Xiangxian Li, Xiaoshuo Yan et al.
Causal-Inspired Multitask Learning for Video-Based Human Pose Estimation
Haipeng Chen, Sifan Wu, Zhigang Wang et al.
Causally Consistent Normalizing Flow
Qingyang Zhou, Kangjie Lu, Meng Xu