AAAI Papers
5,317 papers found • Page 41 of 107
Offline Safe Reinforcement Learning Using Trajectory Classification
Ze Gong, Akshat Kumar, Pradeep Varakantham
Offline-to-Online Hyperparameter Transfer for Stochastic Bandits
Dravyansh Sharma, Arun Suggala
OGP-Net: Optical Guidance Meets Pixel-Level Contrastive Distillation for Robust Multi-Modal and Missing Modality Segmentation
Aniruddh Sikdar, Jayant Teotia, Suresh Sundaram
OLiDM: Object-aware LiDAR Diffusion Models for Autonomous Driving
Tianyi Yan, Junbo Yin, Xianpeng Lang et al.
OLMD: Orientation-aware Long-term Motion Decoupling for Continuous Sign Language Recognition
Yiheng Yu, Sheng Liu, Yuan Feng et al.
OmniCount: Multi-label Object Counting with Semantic-Geometric Priors
Anindya Mondal, Sauradip Nag, Xiatian Zhu et al.
OmniMark: Efficient and Scalable Latent Diffusion Model Fingerprinting
Jianwei Fei, Yunshu Dai, Zhihua Xia et al.
Omni-Query Active Learning for Source-Free Domain Adaptive Cross-Modality 3D Semantic Segmentation
Jianxiang Xie, Yao Wu, Yachao Zhang et al.
OmniSR: Shadow Removal Under Direct and Indirect Lighting
Jiamin Xu, Zelong Li, Yuxin Zheng et al.
On Action Theories with Iterable First-Order Progression
Daxin Liu, Jens Claßen
On Corruption-Robustness in Performative Reinforcement Learning
Vasilis Pollatos, Debmalya Mandal, Goran Radanovic
On Designing the Optimal Integrated Ad Auction in E-commerce Platforms
Yuchao Ma, Weian Li, Yuhan Wang et al.
OneBatchPAM: A Fast and Frugal K-Medoids Algorithm
Antoine de Mathelin, Nicolas Enrique Cecchi, François Deheeger et al.
On Effects of Steering Latent Representation for Large Language Model Unlearning
Huu-Tien Dang, Tin Pham, Hoang Thanh-Tung et al.
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 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 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
On the Power of Convolution-Augmented Transformer
Mingchen Li, Xuechen Zhang, Yixiao Huang et al.
On the Power of Randomization for Obviously Strategy-Proof Mechanisms
Shiri Ron, Daniel Schoepflin
On the Power of Strategic Corpus Enrichment in Content Creation Games
Haya Nachimovsky, Moshe Tennenholtz
On the Relationship Between Monotone and Squared Probabilistic Circuits
Benjie Wang, Guy Van den Broeck
On the Robustness of Distributed Machine Learning Against Transfer Attacks
Sebastien Andreina, Pascal Zimmer, Ghassan Karame
On the Trainability and Classical Simulability of Learning Matrix Product States Variationally
Afrad Basheer, Yuan Feng, Christopher Ferrie et al.
OODML: Whole Slide Image Classification Meets Online Pseudo-Supervision and Dynamic Mutual Learning
Tingting Zheng, Kui Jiang, Hongxun Yao et al.
OOTDiffusion: Outfitting Fusion Based Latent Diffusion for Controllable Virtual Try-On
Yuhao Xu, Tao Gu, Weifeng Chen et al.
Open Models, Closed Minds? On Agents Capabilities in Mimicking Human Personalities through Open Large Language Models
Lucio La Cava, Andrea Tagarelli
Open-Set Cross-Network Node Classification via Unknown-Excluded Adversarial Graph Domain Alignment
Xiao Shen, Zhihao Chen, Shirui Pan et al.
Open-Set Heterogeneous Domain Adaptation: Theoretical Analysis and Algorithm
Thai-Hoang Pham, Yuanlong Wang, Changchang Yin et al.
OpenViewer: Openness-Aware Multi-View Learning
Shide Du, Zihan Fang, Yanchao Tan et al.
OpenVIS: Open-vocabulary Video Instance Segmentation
Pinxue Guo, Hao Huang, Peiyang He et al.