Papers
DASK: Distribution Rehearsing via Adaptive Style Kernel Learning for Exemplar-Free Lifelong Person Re-Identification
Kunlun Xu, Chenghao Jiang, Peixi Xiong et al.
Data Augmentation Approaches for Satellite Imagery
Laurel M. Hopkins, Weng-Keen Wong, Hannah Kerner et al.
Data Augmentation for Instruction Following Policies via Trajectory Segmentation
Niklas Hoepner, Ilaria Tiddi, Herke van Hoof
Data-driven Precipitation Nowcasting Using Satellite Imagery
Young-Jae Park, Doyi Kim, Minseok Seo et al.
Data-Free Black-Box Federated Learning via Zeroth-Order Gradient Estimation
Xinge Ma, Jin Wang, Xuejie Zhang
Data-Free Universal Attack by Exploiting the Intrinsic Vulnerability of Deep Models
YangTian Yan, Jinyu Tian
Data Monitoring for Large Scale Public Health Data
Ananya Joshi
Data with High and Consistent Preference Difference Are Better for Reward Model
Qi Lin, Hengtong Lu, Caixia Yuan et al.
Data Wrangling Task Automation Using Code-Generating Language Models
Ashlesha Akella, Krishnasuri Narayanam
DCA: Dividing and Conquering Amnesia in Incremental Object Detection
Aoting Zhang, Dongbao Yang, Chang Liu et al.
DCC: Differentiable Cardinality Constraints for Partial Index Tracking
Wooyeon Jo, Hyunsouk Cho
DCHM: Dynamic Collaboration of Heterogeneous Models Through Isomerism Learning in a Blockchain-Powered Federated Learning Framework
Zhihao Hao, Bob Zhang, Haisheng Li
DCILP: A Distributed Approach for Large-Scale Causal Structure Learning
Shuyu Dong, Michele Sebag, Kento Uemura et al.
DC-PCN: Point Cloud Completion Network with Dual-Codebook Guided Quantization
Qiuxia Wu, Haiyang Huang, Kunming Su et al.
DCSF-KD: Dynamic Channel-wise Spatial Feature Knowledge Distillation for Object Detection
Tao Dai, Yang Lin, Hang Guo et al.
DCTMamba: Advancing JPEG Image Restoration Through Long-Sequence Modeling and Adaptive Frequency Strategy
Xi Wang, Xueyang Fu, Liang Li et al.
DDJND: Dual Domain Just Noticeable Difference in Multi-Source Content Images with Structural Discrepancy
Miaohui Wang, Zhenming Li, Wuyuan Xie
DearLLM: Enhancing Personalized Healthcare via Large Language Models-Deduced Feature Correlations
Yongxin Xu, Xinke Jiang, Xu Chu et al.
Debate Helps Weak-to-Strong Generalization
Hao Lang, Fei Huang, Yongbin Li
Debate on Graph: A Flexible and Reliable Reasoning Framework for Large Language Models
Jie Ma, Zhitao Gao, Qi Chai et al.
Debiased Active Learning with Variational Gradient Rectifier
Weiguo Chen, Changjian Wang, Shijun Li et al.
Debiased All-in-one Image Restoration with Task Uncertainty Regularization
Gang Wu, Junjun Jiang, Yijun Wang et al.
Debiased Distillation for Consistency Regularization
Lu Wang, Liuchi Xu, Xiong Yang et al.
Debiased Multimodal Understanding for Human Language Sequences
Zhi Xu, Dingkang Yang, Mingcheng Li et al.