AAAI Papers

Decentralized Gradient-Free Methods for Stochastic Non-smooth Non-convex Optimization

Zhenwei Lin, Jingfan Xia, Qi Deng et al.

Decentralized Monte Carlo Tree Search for Partially Observable Multi-Agent Pathfinding

Alexey Skrynnik, Anton Andreychuk, Konstantin Yakovlev et al.

Decentralized Scheduling with QoS Constraints: Achieving O(1) QoS Regret of Multi-Player Bandits

Qingsong Liu, Zhixuan Fang

Decentralized Sum-of-Nonconvex Optimization

Zhuanghua Liu, Bryan Kian Hsiang Low

Deciphering Compatibility Relationships with Textual Descriptions via Extraction and Explanation

9135 Yu Wang, Zexue He, Zhankui He et al.

Deciphering Raw Data in Neuro-Symbolic Learning with Provable Guarantees

Decoding AI’s Nudge: A Unified Framework to Predict Human Behavior in AI-Assisted Decision Making

Zhuoyan Li, Zhuoran Lu, Ming Yin

Decoding Global Preferences: Temporal and Cooperative Dependency Modeling in Multi-Agent Preference-Based Reinforcement Learning

Tianchen Zhu, Yue Qiu, Haoyi Zhou et al.

Decomposing Constraint Networks for Calculating c-Representations

Marco Wilhelm, Gabriele Kern-Isberner

Decomposing Semantic Shifts for Composed Image Retrieval

Xingyu Yang, Daqing Liu, Heng Zhang et al.

Decomposing Temporal Equilibrium Strategy for Coordinated Distributed Multi-Agent Reinforcement Learning

Chenyang Zhu, Wen Si, Jinyu Zhu et al.

Decouple Content and Motion for Conditional Image-to-Video Generation

Cuifeng Shen, Yulu Gan, Chen Chen et al.

Decoupled Contrastive Learning for Long-Tailed Recognition

Shiyu Xuan, Shiliang Zhang

Decoupled Contrastive Multi-View Clustering with High-Order Random Walks

Yiding Lu, Yijie Lin, Mouxing Yang et al.

Decoupled Optimisation for Long-Tailed Visual Recognition

Cong Cong, Shiyu Xuan, Sidong Liu et al.

Decoupled Training: Return of Frustratingly Easy Multi-Domain Learning

Ximei Wang, Junwei Pan, Xingzhuo Guo et al.

Decoupling Degradations with Recurrent Network for Video Restoration in Under-Display Camera

Chengxu Liu, Xuan Wang, Yuanting Fan et al.

Decoupling Meta-Reinforcement Learning with Gaussian Task Contexts and Skills

Hongcai He, Anjie Zhu, Shuang Liang et al.

Decoupling Representation and Knowledge for Few-Shot Intent Classification and Slot Filling

Jie Han, Yixiong Zou, Haozhao Wang et al.

Deep Active Learning with Noise Stability

Xingjian Li, Pengkun Yang, Yangcheng Gu et al.

DeepBranchTracer: A Generally-Applicable Approach to Curvilinear Structure Reconstruction Using Multi-Feature Learning

Chao Liu, Ting Zhao, Nenggan Zheng

DeepCalliFont: Few-Shot Chinese Calligraphy Font Synthesis by Integrating Dual-Modality Generative Models

Yitian Liu, Zhouhui Lian

Deep Contrastive Graph Learning with Clustering-Oriented Guidance

Mulin Chen, Bocheng Wang, Xuelong Li

Deep Copula-Based Survival Analysis for Dependent Censoring with Identifiability Guarantees

Weijia Zhang, Chun Kai Ling, Xuanhui Zhang

Deep Hierarchical Video Compression

Ming Lu, Zhihao Duan, Fengqing Zhu et al.

Deep Homography Estimation for Visual Place Recognition

Feng Lu, Shuting Dong, Lijun Zhang et al.

Deep Incomplete Multi-View Learning Network with Insufficient Label Information

Zhangqi Jiang, Tingjin Luo, Xinyan Liang

Deep Linear Array Pushbroom Image Restoration: A Degradation Pipeline and Jitter-Aware Restoration Network

Zida Chen, Ziran Zhang, Haoying Li et al.

DeepPointMap: Advancing LiDAR SLAM with Unified Neural Descriptors

Xiaze Zhang, Ziheng Ding, Qi Jing et al.

Deep Quantum Error Correction

Yoni Choukroun, Lior Wolf

DeepSaDe: Learning Neural Networks That Guarantee Domain Constraint Satisfaction

Kshitij Goyal, Sebastijan Dumancic, Hendrik Blockeel

Deep Semantic Graph Transformer for Multi-View 3D Human Pose Estimation

Lijun Zhang, Kangkang Zhou, Feng Lu et al.

DeepSpeed Data Efficiency: Improving Deep Learning Model Quality and Training Efficiency via Efficient Data Sampling and Routing

Conglong Li, Zhewei Yao, Xiaoxia Wu et al.

Deep Structural Knowledge Exploitation and Synergy for Estimating Node Importance Value on Heterogeneous Information Networks

Yankai Chen, Yixiang Fang, Qiongyan Wang et al.

Deep Unfolded Network with Intrinsic Supervision for Pan-Sharpening

Deep Variational Incomplete Multi-View Clustering: Exploring Shared Clustering Structures

Gehui Xu, Jie Wen, Chengliang Liu et al.

Defeasible Normative Reasoning: A Proof-Theoretic Integration of Logical Argumentation

Ofer Arieli, Kees van Berkel, Christian Straßer

Defying Imbalanced Forgetting in Class Incremental Learning

Shixiong Xu, Gaofeng Meng, Xing Nie et al.

Delegation-Relegation for Boolean Matrix Factorization

Florent Avellaneda, Roger Villemaire

Deletion-Robust Submodular Maximization with Knapsack Constraints

Shuang Cui, Kai Han, He Huang

Delivering Inflated Explanations

Yacine Izza, Alexey Ignatiev, Peter Stuckey et al.

Delving into Multimodal Prompting for Fine-Grained Visual Classification

Xin Jiang, Hao Tang, Junyao Gao et al.

DenoSent: A Denoising Objective for Self-Supervised Sentence Representation Learning

Xinghao Wang, Junliang He, Pengyu Wang et al.

Dense Projection for Anomaly Detection

Dazhi Fu, Zhao Zhang, Jicong Fan

Density Matters: Improved Core-Set for Active Domain Adaptive Segmentation

Shizhan Liu, Zhengkai Jiang, Yuxi Li et al.

Dependency Structure-Enhanced Graph Attention Networks for Event Detection

Qizhi Wan, Changxuan wan, Keli Xiao et al.

DePRL: Achieving Linear Convergence Speedup in Personalized Decentralized Learning with Shared Representations

Guojun Xiong, Gang Yan, Shiqiang Wang et al.

Depth-Guided Robust and Fast Point Cloud Fusion NeRF for Sparse Input Views

Shuai Guo, Qiuwen Wang, Yijie Gao et al.

DeRDaVa: Deletion-Robust Data Valuation for Machine Learning

Xiao Tian, Rachael Hwee Ling Sim, Jue Fan et al.

DeS3: Adaptive Attention-Driven Self and Soft Shadow Removal Using ViT Similarity