Papers
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
Ke 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.
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
Wenshuo Peng, Kaipeng Zhang, Yue Yang et al.
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 Discovery of Design Specifications (Student Abstract)
Angela Chen, Nicholas Gisolfi, Artur Dubrawski
Data-Driven Structural Fire Risk Prediction for City Properties
Rupasree Dey, Alan Fern
Data-Efficient Graph Learning
Kaize Ding
DataElixir: Purifying Poisoned Dataset to Mitigate Backdoor Attacks via Diffusion Models
Jiachen Zhou, Peizhuo Lv, Yibing Lan et al.
Data-Free Generalized Zero-Shot Learning
Bowen Tang, Jing Zhang, Long Yan 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.
DCV2I: A Practical Approach for Supporting Geographers’ Visual Interpretation in Dune Segmentation with Deep Vision Models
Anqi Lu, Zifeng Wu, Zheng Jiang et al.