Paper Papers

Cycle Self-Refinement for Multi-Source Domain Adaptation

Chaoyang Zhou, Zengmao Wang, Bo Du et al.

CycleVTON: A Cycle Mapping Framework for Parser-Free Virtual Try-On

Chenghu Du, Junyin Wang, Yi Rong et al.

D3: A Methodological Exploration of Domain Division, Modeling, and Balance in Multi-Domain Recommendations

Pengyue Jia, Yichao Wang, Shanru LIN et al.

DAG-Aware Variational Autoencoder for Social Propagation Graph Generation

Dongpeng Hou, Chao Gao, Xuelong Li et al.

DALDet: Depth-Aware Learning Based Object Detection for Autonomous Driving

K. Hu, Tongbo Cao, Yuan Li et al.

DanceAnyWay: Synthesizing Beat-Guided 3D Dances with Randomized Temporal Contrastive Learning

Aneesh Bhattacharya, Manas Paranjape, Uttaran Bhattacharya et al.

DanceMVP: Self-Supervised Learning for Multi-Task Primitive-Based Dance Performance

Yun Zhong, Yiannis Demiris

DA-Net: A Disentangled and Adaptive Network for Multi-Source Cross-Lingual Transfer Learning

Ling Ge, Chunming Hu, Guanghui Ma et al.

DART: Dual-Modal Adaptive Online Prompting and Knowledge Retention for Test-Time Adaptation

Zichen Liu, Hongbo Sun, Yuxin Peng et al.

Data Adaptive Traceback for Vision-Language Foundation Models in Image Classification

Long-Fei Li, Peng Zhao, Zhi-Hua Zhou

Data-Augmented Curriculum Graph Neural Architecture Search under Distribution Shifts

Yang Yao, Xin Wang, Yijian Qin et al.

Data Augmented Graph Neural Networks for Personality Detection

Yangfu Zhu, Yue Xia, Meiling Li et al.

Data Disparity and Temporal Unavailability Aware Asynchronous Federated Learning for Predictive Maintenance on Transportation Fleets

Leonie von Wahl, Niklas Heidenreich, Prasenjit Mitra et al.

Data Distribution Distilled Generative Model for Generalized Zero-Shot Recognition

Yijie Wang, Mingjian Hong, Luwen Huangfu et al.

Data-Driven Knowledge-Aware Inference of Private Information in Continuous Double Auctions

Lvye Cui, Haoran Yu

Data-Free Generalized Zero-Shot Learning

Bowen Tang, Jing Zhang, Yan Long et al.

Data-Free Hard-Label Robustness Stealing Attack

Xiaojian Yuan, Kejiang Chen, Wen Huang et al.

Data Poisoning to Fake a Nash Equilibria for Markov Games

Young Wu, Jeremy McMahan, Xiaojin Zhu et al.

Data Roaming and Quality Assessment for Composed Image Retrieval

Matan Levy, Rami Ben-Ari, Nir Darshan et al.

Data Shunt: Collaboration of Small and Large Models for Lower Costs and Better Performance

Dong Chen, Yueting Zhuang, Shuo Zhang et al.

DCLP: Neural Architecture Predictor with Curriculum Contrastive Learning

Shenghe Zheng, Hongzhi Wang, Tianyu Mu

DC-NAS: Divide-and-Conquer Neural Architecture Search for Multi-Modal Classification

Xinyan Liang, Pinhan Fu, Qian Guo et al.

DDAE: Towards Deep Dynamic Vision BERT Pretraining

1953 Honghao Chen, Xiangwen Kong, Xiangyu Zhang et al.

DDDM-VC: Decoupled Denoising Diffusion Models with Disentangled Representation and Prior

Ha-Yeong Choi, Sang-Hoon Lee, Seong-Whan Lee

Dealing with Numeric and Metric Time Constraints in PDDL3 via Compilation to Numeric Planning

Luigi Bonassi, Alfonso Emilio Gerevini, Enrico Scala

De-biased Attention Supervision for Text Classification with Causality

Yiquan Wu, Yifei Liu, Ziyu Zhao et al.

Debiased Novel Category Discovering and Localization

Juexiao Feng, Yuhong Yang, Yanchun Xie et al.

Debiasing Multimodal Sarcasm Detection with Contrastive Learning

Mengzhao Jia, Can Xie, Liqiang Jing

DeblurSR: Event-Based Motion Deblurring under the Spiking Representation

Chen Song, Chandrajit Bajaj, Qixing Huang

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