Papers
Decoupling and Reconstructing: A Multimodal Sentiment Analysis Framework Towards Robustness
Mingzheng Yang, Kai Zhang, Yuyang Ye et al.
Decoupling Angles and Strength in Low-rank Adaptation
Massimo Bini, Leander Girrbach, Zeynep Akata
Decoupling Appearance Variations with 3D Consistent Features in Gaussian Splatting
Jiaqi Lin, Zhihao Li, Binxiao Huang et al.
Decoupling Fine Detail and Global Geometry for Compressed Depth Map Super-Resolution
Huan Zheng, Wencheng Han, Jianbing Shen
Decoupling Layout from Glyph in Online Chinese Handwriting Generation
Minsi Ren, Yan-Ming Zhang, yi chen
Decoupling Memories, Muting Neurons: Towards Practical Machine Unlearning for Large Language Models
Lishuai Hou, Zixiong Wang, Gaoyang Liu et al.
Decoupling Metacognition from Cognition: A Framework for Quantifying Metacognitive Ability in LLMs
Guoqing Wang, Wen Wu, Guangze Ye et al.
Decoupling Reasoning and Knowledge Injection for In-Context Knowledge Editing
Changyue Wang, Weihang Su, Qingyao Ai et al.
Decoupling Scattering: Pseudo-Label Guided NeRF for Scenes with Scattering Media
Mingyang Zhang, Junkang Zhang, Faming Fang et al.
Decoupling Training-Free Guided Diffusion by ADMM
Youyuan Zhang, Zehua Liu, Zenan Li 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.
DeDe: Detecting Backdoor Samples for SSL Encoders via Decoders
Sizai Hou, Songze Li, Duanyi Yao
DeDisCo at the DISRPT 2025 Shared Task: A System for Discourse Relation Classification
Zhuoxuan Ju, Jingni Wu, Abhishek Purushothama et al.
Deduce and Select Evidences with Language Models for Training-Free Video Goal Inference
Yeo Keat Ee, Hao Zhang, Alexander Matyasko et al.
Deduction with Induction: Combining Knowledge Discovery and Reasoning for Interpretable Deep Reinforcement Learning
Haodi Zhang, Xiangyu Zeng, Junyang Chen et al.
DEEM: Diffusion models serve as the eyes of large language models for image perception
Run Luo, Yunshui Li, Longze Chen et al.
DEEP: an automatic bidirectional translator leveraging an ASR for translation of Italian sign language
Nicolas Tagliabue, Elisa Colletti, Francesco Roberto Dani et al.
DeepCA: Deep Learning-Based 3D Coronary Artery Tree Reconstruction from Two 2D Non-Simultaneous X-ray Angiography Projections
Yiying Wang, Abhirup Banerjee, Robin P. Choudhury et al.
DeepCAVE: A Visualization and Analysis Tool for Automated Machine Learning
Sarah Segel, Helena Graf, Edward Bergman et al.
Deep-change at CoMeDi: the Cross-Entropy Loss is not All You Need
Mikhail Kuklin, Nikolay Arefyev
Deep Change Monitoring: A Hyperbolic Representative Learning Framework and a Dataset for Long-term Fine-grained Tree Change Detection
Yante Li, Hanwen Qi, Haoyu Chen et al.