Papers
8,127 papers found
A Methodological Framework for Measuring Spatial Labeling Similarity
Yihang Du, Jiaying Hu, Suyang Hou et al.
A Multi-Granularity Clustering Approach for Federated Backdoor Defense with the Adam Optimizer
Jidong Yuan, Qihang Zhang, Naiyue Chen et al.
A Multimodal AI Dialogue System for Unified Document, Visual, and Audio Interaction
Yujun Feng, Jingyi Huang, Yang Zhang
A Multi-view Fusion Approach for Enhancing Speech Signals via Short-time Fractional Fourier Transform
Zikun Jin, Yuhua Qian, Xinyan Liang et al.
An Approach to Quantify Plans Robustness in Real-world Applications
Francesco Percassi, Sandra Castellanos-Paez, Romain Rombourg et al.
An Association-based Fusion Method for Speech Enhancement
Shijie Wang, Qian Guo, Lu Chen et al.
An Efficient Core-Guided Solver for Weighted Partial MaxSAT
Shiwei Pan, Yiyuan Wang, Shaowei Cai
An Empirical Study of Federated Prompt Learning for Vision Language Model
Zhihao Wang, Wenke Huang, Tian Chen et al.
An End-to-End Simple Clustering Hierarchical Pooling Operation for Graph Learning Based on Top-K Node Selection
Zhehan Zhao, Lu Bai, Ming Li et al.
An Ethical Dataset from Real-World Interactions Between Users and Large Language Models
Masahiro Kaneko, Danushka Bollegala, Timothy Baldwin
A Neuro-Symbolic Framework for Sequence Classification with Relational and Temporal Knowledge
Luca Salvatore Lorello, Marco Lippi, Stefano Melacci
An Interactive Game-based Multi-Agent AI System for Children’s Social and Emotional Development
Shreya Banerjee, Soheil Saneei, Lisa Pham et al.
An Inverse Optimization Approach to Contextual Inverse Optimization
Yasunari Hikima, Naoyuki Kamiyama
A Non-Interventionist Approach to Causal Reasoning Based on Lewisian Counterfactuals
Carlos Aguilera-Ventura, Xinghan Liu, Emiliano Lorini et al.
An Out-Of-Distribution Membership Inference Attack Approach for Cross-Domain Graph Attacks
Jinyan Wang, Liu Yang, Yuecen Wei et al.
A Novel Local Search Algorithm for the Vertex Bisection Minimization Problem
Rui Sun, Xinyu Wang, Yiyuan Wang et al.
A Novel Sparse Active Online Learning Framework for Fast and Accurate Streaming Anomaly Detection Over Data Streams
Zhong Chen, Yi He, Di Wu et al.
Antibody Design and Optimization with Multi-scale Equivariant Graph Diffusion Models for Accurate Complex Antigen Binding
Jiameng Chen, Xiantao Cai, Jia Wu et al.
A Picture is Worth a Thousand Prompts? Efficacy of Iterative Human-Driven Prompt Refinement in Image Regeneration Tasks
Khoi Trinh, Scott Seidenberger, Raveen Wijewickrama et al.
APIMig: A Project-Level Cross-Multi-Version API Migration Framework Based on Evolution Knowledge Graph
Li Kuang, Qi Xie, HaiYang Yang et al.
App2Exa: Accelerating Exact kNN Search via Dynamic Cache-Guided Approximation
Ke Li, Leong Hou U, Shuo Shang
Approximated Behavioral Metric-based State Projection for Federated Reinforcement Learning
Zengxia Guo, Bohui An, Zhongqi Lu
Approximate Lifted Model Construction
Malte Luttermann, Jan Speller, Marcel Gehrke et al.
Approximately EFX and fPO Allocations for Bivalued Chores
Zehan Lin, Xiaowei Wu, Shengwei Zhou
Approximate Verification of Strategic Abilities under Imperfect Information Using Local Models
Damian Kurpiewski, Wojciech Jamroga, Yan Kim