Papers
Adaptive Sampling to Reduce Epistemic Uncertainty Using Prediction Interval-Generation Neural Networks
Giorgio Morales, John W. Sheppard
Adaptive Wavelet-Positional Encoding for High-Frequency Information Learning in Implicit Neural Representation
Hongxu Zhao, Zelin Gao, Yue Wang et al.
AdaSkip: Adaptive Sublayer Skipping for Accelerating Long-Context LLM Inference
Zhuomin He, Yizhen Yao, Pengfei Zuo et al.
ADBA: Approximation Decision Boundary Approach for Black-Box Adversarial Attacks
Feiyang Wang, Xingquan Zuo, Hai Huang et al.
Addressing Cold-Start Problem in Click-Through Rate Prediction via Supervised Diffusion Modeling
Wenqiao Zhu, Lulu Wang, Jun Wu
Addressing Multi-Label Learning with Partial Labels: From Sample Selection to Label Selection
Gengyu Lyu, Bohang Sun, Xiang Deng et al.
A Deep Probabilistic Framework for Continuous Time Dynamic Graph Generation
Ryien Hosseini, Filippo Simini, Venkatram Vishwanath et al.
ADELA: Accelerating Evolutionary Design of Machine Learning Pipelines with the Accompanying Surrogate Model
Yang Gu, Jian Cao, Hengyu You et al.
A Denoising Pre-training Framework for Accelerating Novel Material Discovery
Shuaike Shen, Ke Liu, Muzhi Zhu et al.
A Deployed Online Reinforcement Learning Algorithm in an Oral Health Clinical Trial
Anna L. Trella, Kelly W. Zhang, Hinal Jajal et al.
A Diffusion-Based Framework for Occluded Object Movement
Zheng-Peng Duan, Jiawei Zhang, Siyu Liu et al.
A Domain-Independent Agent Architecture for Adaptive Operation in Evolving Open Worlds
Shiwali Mohan, Wiktor Piotrowski, Roni Stern et al.
Advancing Audio-Based Text Generation with Imbalance Preference Optimization
Zhenghao Zhou, Yongjie Liu, Chen Cao
Advancing Comprehensive Aesthetic Insight with Multi-Scale Text-Guided Self-Supervised Learning
Yuti Liu, Shice Liu, Junyuan Gao et al.
Advancing Feature Extraction in Healthcare through the Integration of Knowledge Graphs and Large Language Models
Fahmida Liza Piya, Rahmatollah Beheshti
Advancing Loss Functions in Recommender Systems: A Comparative Study with a Rényi Divergence-Based Solution
Shengjia Zhang, Jiawei Chen, Changdong Li et al.
Advancing Research on Equitable AI Education Through a Focus on Implementation: Insights from a Middle School Computer Vision Module Beta-Test
Christina A. Bosch, Mary Cate Gustafson-Quiett, Samar Abu Hegly et al.
Advancing Retrosynthesis with Retrieval-Augmented Graph Generation
Anjie Qiao, Zhen Wang, Jiahua Rao et al.
Advancing Spiking Neural Networks Towards Multiscale Spatiotemporal Interaction Learning
Yimeng Shan, Malu Zhang, Rui-jie Zhu et al.
AdvDisplay: Adversarial Display Assembled by Thermoelectric Cooler for Fooling Thermal Infrared Detectors
Hao Li, Fanggao Wan, Yue Su et al.