Papers
One for Dozens: Adaptive REcommendation for All Domains with Counterfactual Augmentation
Huishi Luo, Yiwen Chen, Yiqing Wu et al.
One Node One Model: Featuring the Missing-Half for Graph Clustering
Xuanting Xie, Bingheng Li, Erlin Pan et al.
One-Shot Reference-based Structure-Aware Image to Sketch Synthesis
Rui Yang, Honghong Yang, Li Zhao et al.
One Token Can Help! Learning Scalable and Pluggable Virtual Tokens for Retrieval-Augmented Large Language Models
Yutao Zhu, Zhaoheng Huang, Zhicheng Dou et al.
On Finding Hubs in High Dimensions with Sampling
Huiwen Dong, Linghan Zeng, Zhiwen Zhao et al.
Online and Streaming Algorithms for Constrained k-Submodular Maximization
Fabian Christian Spaeh, Alina Ene, Huy Nguyen
Online Fraud Detection via Test-Time Retrieval-Based Representation Enrichment
Yiran Qiao, Ningtao Wang, Yuncong Gao et al.
Online Guidance Graph Optimization for Lifelong Multi-Agent Path Finding
Hongzhi Zang, Yulun Zhang, He Jiang et al.
Online Learning of Coalition Structures by Selfish Agents
Saar Cohen, Noa Agmon
Online MDP with Prototypes Information: A Robust Adaptive Approach
Shuo Sun, Meng Qi, Zuo-Jun Max Shen
Online Nonsubmodular Optimization with Delayed Feedback in the Bandit Setting
Sifan Yang, Yuanyu Wan, Lijun Zhang
Online Prompt Selection for Program Synthesis
Yixuan Li, Lewis Frampton, Federico Mora et al.
On Local Overfitting and Forgetting in Deep Neural Networks
Uri Stern, Tomer Yaacoby, Daphna Weinshall
On Oversquashing in Graph Neural Networks Through the Lens of Dynamical Systems
Alessio Gravina, Moshe Eliasof, Claudio Gallicchio et al.
On-Policy Algorithms for Continual Reinforcement Learning (Student Abstract)
Tadeusz Dziarmaga, Tomasz Arczewski, Marcin Mazur et al.
On Probabilistic Truncation in Privacy-preserving Machine Learning
Lijing Zhou, Bingsheng Zhang, Ziyu Wang et al.
On Shallow Planning Under Partial Observability
Randy Lefebvre, Audrey Durand
On the Asymptotic Optimality of Confidence Interval Based Algorithms for Fixed Confidence MABs
Kushal Kejriwal, Nikhil Karamchandani, Jayakrishnan Nair
On the Consideration of AI Openness: Can Good Intent Be Abused?
Yeeun Kim, Hyunseo Shin, Eunkyung Choi et al.
On the Convergence of Tâtonnement for Linear Fisher Markets
Tianlong Nan, Yuan Gao, Christian Kroer
On the Distortion of Committee Election with 1-Euclidean Preferences and Few Distance Queries
Dimitris Fotakis, Laurent Gourvès, Panagiotis Patsilinakos
On the Expressiveness and Length Generalization of Selective State Space Models on Regular Languages
Aleksandar Terzic, Michael Hersche, Giacomo Camposampiero et al.
On the Hardness of Training Deep Neural Networks Discretely
Ilan Doron-Arad
On the Logic of Theory Base Change: Reformulation of Belief Bases
Eduardo L. Fermé, Andreas Herzig, Maria Vanina Martinez
On the Modelling of Constraints with Tractable Logical Operators
Ruiwei Wang, Roland H. C. Yap