Papers
AI-Olympics: Exploring the Generalization of Agents through Open Competitions
Chen Wang, Yan Song, Shuai Wu et al.
AK4Prompts: Aesthetics-driven Automatically Keywords-Ranking for Prompts in Text-To-Image Models
Haiyang Zhang, Mengchao Wang, Shuai He et al.
A Lightweight U-like Network Utilizing Neural Memory Ordinary Differential Equations for Slimming the Decoder
Quansong He, Xiaojun Yao, Jun Wu et al.
All in One: Multi-task Prompting for Graph Neural Networks (Extended Abstract)
Xiangguo Sun, Hong Cheng, Jia Li et al.
AllMatch: Exploiting All Unlabeled Data for Semi-Supervised Learning
Zhiyu Wu, Jinshi Cui
Allocating Mixed Goods with Customized Fairness and Indivisibility Ratio
Bo Li, Zihao Li, Shengxin Liu et al.
A Logic for Reasoning about Aggregate-Combine Graph Neural Networks
Pierre Nunn, Marco Sälzer, François Schwarzentruber et al.
A Meta-Game Evaluation Framework for Deep Multiagent Reinforcement Learning
Zun Li, Michael P. Wellman
AMO-aware Aggregates in Answer Set Programming
Mario Alviano, Carmine Dodaro, Salvatore Fiorentino et al.
A Multi-Valued Decision Diagram-Based Approach to Constrained Optimal Path Problems over Directed Acyclic Graphs
Mingwei Zhang, Liangda Fang, Zhenhao Gu et al.
An Archive Can Bring Provable Speed-ups in Multi-Objective Evolutionary Algorithms
Chao Bian, Shengjie Ren, Miqing Li et al.
AnchorGT: Efficient and Flexible Attention Architecture for Scalable Graph Transformers
Wenhao Zhu, Guojie Song, Liang Wang et al.
An Efficient Prototype-Based Clustering Approach for Edge Pruning in Graph Neural Networks to Battle Over-Smoothing
Yuyang Huang, Wenjing Lu, Yang Yang
An Embarrassingly Simple Approach to Enhance Transformer Performance in Genomic Selection for Crop Breeding
Renqi Chen, Wenwei Han, Haohao Zhang et al.
A New Guaranteed Outlier Removal Method Based on Plane Constraints for Large-Scale LiDAR Point Cloud Registration
Gang Ma, Hui Wei, Runfeng Lin et al.
A New Paradigm for Counterfactual Reasoning in Fairness and Recourse
Lucius E.J. Bynum, Joshua R. Loftus, Julia Stoyanovich
Angluin-Style Learning of Deterministic Büchi and Co-Büchi Automata
Yong Li, Sven Schewe, Qiyi Tang
An Image-enhanced Molecular Graph Representation Learning Framework
Hongxin Xiang, Shuting Jin, Jun Xia et al.
An Interactive Human-Machine Learning Interface for Collecting and Learning from Complex Annotations
Jonathan Erskine, Matt Clifford, Alexander Hepburn et al.
An LLM-enhanced Agent-based Simulation Tool for Information Propagation
Yuxuan Hu, Gemju Sherpa, Lan Zhang et al.
An NCDE-based Framework for Universal Representation Learning of Time Series
Zihan Liu, Bowen Du, Junchen Ye et al.