Papers
Customizing Language Model Responses with Contrastive In-Context Learning
Xiang Gao, Kamalika Das
CutFreq: Cut-and-Swap Frequency Components for Low-Level Vision Augmentation
Hongyang Chen, Kaisheng Ma
CUTS+: High-Dimensional Causal Discovery from Irregular Time-Series
Yuxiao Cheng, Lianglong Li, Tingxiong Xiao et al.
CyberQ: Generating Questions and Answers for Cybersecurity Education Using Knowledge Graph-Augmented LLMs
Garima Agrawal, Kuntal Pal, Yuli Deng et al.
Cycle-Consistency Learning for Captioning and Grounding
Ning Wang, Jiajun Deng, Mingbo Jia
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
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.