AAAI Papers
5,317 papers found • Page 11 of 107
ComprehendEdit: A Comprehensive Dataset and Evaluation Framework for Multimodal Knowledge Editing
Yaohui Ma, Xiaopeng Hong, Shizhou Zhang et al.
Comprehensive Multi-Modal Prototypes Are Simple and Effective Classifiers for Vast-Vocabulary Object Detection
Yitong Chen, Wenhao Yao, Lingchen Meng et al.
Compressing Streamable Free-Viewpoint Videos to 0.1 MB per Frame
Luyang Tang, Jiayu Yang, Rui Peng et al.
Compress to One Point: Neural Collapse for Pre-Trained Model-Based Class-Incremental Learning
Kun Wei, Zhe Xu, Cheng Deng
Computationally Hard Problems Are Hard for QBF Proof Systems Too
Agnes Schleitzer, Olaf Beyersdorff
Computing Game Symmetries and Equilibria That Respect Them
Emanuel Tewolde, Brian Hu Zhang, Caspar Oesterheld et al.
Computing Perfect Bayesian Equilibria in Sequential Auctions with Verification
Vinzenz Thoma, Vitor Bosshard, Sven Seuken
CoMT: A Novel Benchmark for Chain of Multi-modal Thought on Large Vision-Language Models
Zihui Cheng, Qiguang Chen, Jin Zhang et al.
Concept Conductor: Orchestrating Multiple Personalized Concepts in Text-to-Image Synthesis
Zebin Yao, Fangxiang Feng, Ruifan Li et al.
Concept Matching with Agent for Out-of-Distribution Detection
Yuxiao Lee, Xiaofeng Cao, Jingcai Guo et al.
ConceptSearch: Towards Efficient Program Search Using LLMs for Abstraction and Reasoning Corpus (ARC)
Kartik Singhal, Gautam Shroff
Concurrent Planning and Execution in Lifelong Multi-Agent Path Finding with Delay Probabilities
Yue Zhang, Zhe Chen, Daniel Harabor et al.
Conditional Diffusion Models Based Conditional Independence Testing
Yanfeng Yang, Shuai Li, Yingjie Zhang et al.
Conditional Feature Importance with Generative Modeling Using Adversarial Random Forests
Kristin Blesch, Niklas Koenen, Jan Kapar et al.
Conditional Latent Coding with Learnable Synthesized Reference for Deep Image Compression
Siqi Wu, Yinda Chen, Dong Liu et al.
ConDo: Continual Domain Expansion for Absolute Pose Regression
Zijun Li, Zhipeng Cai, Bochun Yang et al.
ConDSeg: A General Medical Image Segmentation Framework via Contrast-Driven Feature Enhancement
Mengqi Lei, Haochen Wu, Xinhua Lv et al.
Confidence Estimation for Error Detection in Text-to-SQL Systems
Oleg Somov, Elena Tutubalina
Configuring Data Augmentations to Reduce Variance Shift in Positional Embedding of Vision Transformers
Bum Jun Kim, Sang Woo Kim
ConfigX: Modular Configuration for Evolutionary Algorithms via Multitask Reinforcement Learning
Hongshu Guo, Zeyuan Ma, Jiacheng Chen et al.
Conformal Inference of Individual Treatment Effects Using Conditional Density Estimates
Baozhen Wang, Xingye Qiao
Conformalized Interval Arithmetic with Symmetric Calibration
Rui Luo, Zhixin Zhou
Conformal Prediction for Partial Label Learning
Xiuwen Gong, Nitin Bisht, Guandong Xu
Conformal Thresholded Intervals for Efficient Regression
Rui Luo, Zhixin Zhou
Confounding-Robust Deferral Policy Learning
Ruijiang Gao, Mingzhang Yin
ConFREE: Conflict-free Client Update Aggregation for Personalized Federated Learning
Hao Zheng, Zhigang Hu, Liu Yang et al.
ConSense: Continually Sensing Human Activity with WiFi via Growing and Picking
Rong Li, Tao Deng, Siwei Feng et al.
Consistency of Compositional Generalization Across Multiple Levels
Chuanhao Li, Zhen Li, Chenchen Jing et al.
Consistent Query Answering over Existential Rules with Open and Closed Predicates
Lorenzo Marconi, Riccardo Rosati
Constant-Factor Distortion Mechanisms for k-Committee Election
Haripriya Pulyassary, Chaitanya Swamy
Constrained Fair and Efficient Allocations
Benjamin Cookson, Soroush Ebadian, Nisarg Shah
Constrained Generative Modeling with Manually Bridged Diffusion Models
Saeid Naderiparizi, Xiaoxuan Liang, Berend Zwartsenberg et al.
Constrained Offline Black-Box Optimization via Risk Evaluation and Management
Yiyi Zhu, Huakang Lu, Yupeng Wu et al.
Constraint-Adaptive Policy Switching for Offline Safe Reinforcement Learning
Yassine Chemingui, Aryan Deshwal, Honghao Wei et al.
Constructing Fair Latent Space for Intersection of Fairness and Explainability
Hyungjun Joo, Hyeonggeun Han, Sehwan Kim et al.
Content-aware Balanced Spectrum Encoding in Masked Modeling for Time Series Classification
Yudong Han, Haocong Wang, Yupeng Hu et al.
Content-free Logical Modification of Large Language Model by Disentangling and Modifying Logic Representation
Xin Wu, Yuqi Bu, Yifei Chen et al.
Context-aware Graph Neural Network for Graph-based Fraud Detection with Extremely Limited Labels
Pengbo Li, Hang Yu, Xiangfeng Luo
Context-aware Inductive Knowledge Graph Completion with Latent Type Constraints and Subgraph Reasoning
Muzhi Li, Cehao Yang, Chengjin Xu et al.
ContextHOI: Spatial Context Learning for Human-Object Interaction Detection
Mingda Jia, Liming Zhao, Ge Li et al.
ContextualStory: Consistent Visual Storytelling with Spatially-Enhanced and Storyline Context
Sixiao Zheng, Yanwei Fu
Contextual Structure Knowledge Transfer for Graph Neural Networks
Zhiyuan Yu, Wenzhong Li, Zhangyue Yin et al.
Continual Learning Using a Kernel-Based Method Over Foundation Models
Saleh Momeni, Sahisnu Mazumder, Bing Liu
Continual Unsupervised Generative Modelling via Online Optimal Transport
Fei Ye, Adrian G. Bors, Kun Zhang
Contract-based Design and Verification of Multi-Agent Systems with Quantitative Temporal Requirements
Rafael Dewes, Rayna Dimitrova
Contradicted in Reliable, Replicated in Unreliable: Dual-Source Reference for Fake News Early Detection
Yifan Feng, Weimin Li, Yue Wang et al.
Contrasting Adversarial Perturbations: The Space of Harmless Perturbations
Lu Chen, Shaofeng Li, Benhao Huang et al.
Contrastive Auxiliary Learning with Structure Transformation for Heterogeneous Graphs
Wei Du, Hongmin Sun, Hang Gao et al.
Contrastive Functional Principal Component Analysis
Eric Zhang, Didong Li
Contrastive Multi-view Subspace Clustering via Tensor Transformers Autoencoder
Qianqian Wang, Zihao Zhang, Wei Feng et al.