Paper Papers
5,964 papers found • Page 16 of 120
Conference
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 for Instruction Following Policies via Trajectory Segmentation
Niklas Hoepner, Ilaria Tiddi, Herke van Hoof
Data-Centric Human Preference with Rationales for Direct Preference Alignment
Hoang Anh Just, Ming Jin, Anit Kumar Sahu 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
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 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.
Decentralized and Uncoordinated Learning of Stable Matchings: A Game-Theoretic Approach
S. Rasoul Etesami, R. Srikant
Decentralized Convergence to Equilibrium Prices in Trading Networks
Edwin Lock, Benjamin Patrick Evans, Eleonora Kreacic et al.
Decentralized Federated Learning with Model Caching on Mobile Agents
Xiaoyu Wang, Guojun Xiong, Houwei Cao et al.
Decentralized Projected Riemannian Stochastic Recursive Momentum Method for Nonconvex Optimization
Kangkang Deng, Jiang Hu
DECIDER: Difference-aware Contrastive Diffusion Model with Adversarial Perturbations for Image Change Captioning
Guojin Zhong, Jinhong Hu, Jiajun Chen et al.
Decomposed Quadratization: Efficient QUBO Formulation for Learning Bayesian Network
Yuta Shikuri
Decomposed Spatio-Temporal Mamba for Long-Term Traffic Prediction
Sicheng He, Junzhong Ji, Minglong Lei
Decomposing and Fusing Intra- and Inter-Sensor Spatio-Temporal Signal for Multi-Sensor Wearable Human Activity Recognition
Haoyu Xie, Haoxuan Li, Chunyuan Zheng et al.
Deconfound Semantic Shift and Incompleteness in Incremental Few-shot Semantic Segmentation
Yirui Wu, Yuhang Xia, Hao Li et al.
DeCorrNet: Enhancing Neural Decoding Performance by Eliminating Correlations in Noise
Xianhan Tan, Yu Qi, Yueming Wang
Decoupled Policy Actor-Critic: Bridging Pessimism and Risk Awareness in Reinforcement Learning
Michal Nauman, Marek Cygan
Decoupled Spatio-Temporal Consistency Learning for Self-Supervised Tracking
Yaozong Zheng, Bineng Zhong, Qihua Liang et al.
Decoupling Appearance Variations with 3D Consistent Features in Gaussian Splatting
Jiaqi Lin, Zhihao Li, Binxiao Huang et al.
Decoupling Metacognition from Cognition: A Framework for Quantifying Metacognitive Ability in LLMs
Guoqing Wang, Wen Wu, Guangze Ye et al.
Decoupling Scattering: Pseudo-Label Guided NeRF for Scenes with Scattering Media
Mingyang Zhang, Junkang Zhang, Faming Fang et al.
DECT: Harnessing LLM-assisted Fine-Grained Linguistic Knowledge and Label-Switched and Label-Preserved Data Generation for Diagnosis of Alzheimer’s Disease
Tingyu Mo, Jacqueline C. K. Lam, Victor O. K. Li et al.
Deep Binding of Language Model Virtual Personas: a Study on Approximating Political Partisan Misperceptions
Minwoo Kang, Suhong Moon, Seung Hyeong Lee et al.
Deep Disentangled Metric Learning
Jinhee Park, Jisoo Park, Dagyeong Na et al.
Deep Evidential Hashing for Trustworthy Cross-Modal Retrieval
Yuan Li, Liangli Zhen, Yuan Sun et al.
Deep Generative Model for Mechanical System Configuration Design
Yasaman Etesam, Hyunmin Cheong, Mohammadmehdi Ataei et al.
Deep Graph Online Hashing for Multi-Label Image Retrieval
Yuan Cao, Xiangru Chen, Zifan Liu et al.
Deep Hierarchies and Invariant Disease-Indicative Feature Learning for Computer Aided Diagnosis of Multiple Fundus Diseases
Yuxin Lin, Wei Wang, Xiaoling Luo et al.
Deep Hypergraph Neural Networks with Tight Framelets
Ming Li, Yujie Fang, Yi Wang et al.
Deep Implicit Imitation Reinforcement Learning in Heterogeneous Action Settings
Iason Chrysomallis, Georgios Chalkiadakis, Ioannis Papamichail et al.
Deep Multi-modal Graph Clustering via Graph Transformer Network
Qianqian Wang, Haiming Xu, Zihao Zhang et al.
Deep Non-Rigid Structure-from-Motion Revisited: Canonicalization and Sequence Modeling
Hui Deng, Jiawei Shi, Zhen Qin et al.
Deep Rank-One Tensor Functional Factorization for Multi-Dimensional Data Recovery
Yanyi Li, Xi Zhang, Yisi Luo et al.
Deep Reinforcement Learning with Time-Scale Invariant Memory
Md Rysul Kabir, James Mochizuki-Freeman, Zoran Tiganj
Deep Representation Learning for Forecasting Recursive and Multi-Relational Events in Temporal Networks
Tony Gracious, Ambedkar Dukkipati
DeepRetrieval: Hacking Real Search Engines and Retrievers with Large Language Models via Reinforcement Learning
Pengcheng Jiang, Jiacheng Lin, Lang Cao et al.
DeepSN: A Sheaf Neural Framework for Influence Maximization
Asela Hevapathige, Qing Wang, Ahad N. Zehmakan