All Papers

34,598 papers found • Page 89 of 692

Decoupled Spatio-Temporal Consistency Learning for Self-Supervised Tracking

Yaozong Zheng, Bineng Zhong, Qihua Liang et al.

AAAI 2025paperarXiv:2507.21606
24
citations

Decoupled Subgraph Federated Learning

Javad Aliakbari, Johan Östman, Alexandre Graell i Amat

ICLR 2025arXiv:2402.19163
1
citations

Decouple-Then-Merge: Finetune Diffusion Models as Multi-Task Learning

Qianli Ma, Xuefei Ning, Dongrui Liu et al.

CVPR 2025arXiv:2410.06664
3
citations

Decouple to Reconstruct: High Quality UHD Restoration via Active Feature Disentanglement and Reversible Fusion

Yidi Liu, Dong Li, Yuxin Ma et al.

ICCV 2025arXiv:2503.12764
2
citations

Decoupling Angles and Strength in Low-rank Adaptation

Massimo Bini, Leander Girrbach, Zeynep Akata

ICLR 2025arXiv:2503.18225
8
citations

Decoupling Appearance Variations with 3D Consistent Features in Gaussian Splatting

Jiaqi Lin, Zhihao Li, Binxiao Huang et al.

AAAI 2025paperarXiv:2501.10788
5
citations

Decoupling Contrastive Decoding: Robust Hallucination Mitigation in Multimodal Large Language Models

Wei Chen, Xin Yan, Bin Wen et al.

NEURIPS 2025arXiv:2504.08809
2
citations

Decoupling Fine Detail and Global Geometry for Compressed Depth Map Super-Resolution

Huan Zheng, Wencheng Han, Jianbing Shen

CVPR 2025arXiv:2411.03239
6
citations

Decoupling Layout from Glyph in Online Chinese Handwriting Generation

Minsi Ren, Yan-Ming Zhang, yi chen

ICLR 2025arXiv:2410.02309
6
citations

Decoupling Metacognition from Cognition: A Framework for Quantifying Metacognitive Ability in LLMs

Guoqing Wang, Wen Wu, Guangze Ye et al.

AAAI 2025paper

Decoupling Scattering: Pseudo-Label Guided NeRF for Scenes with Scattering Media

Mingyang Zhang, Junkang Zhang, Faming Fang et al.

AAAI 2025paper

Decoupling Training-Free Guided Diffusion by ADMM

Youyuan Zhang, Zehua Liu, Zenan Li et al.

CVPR 2025arXiv:2411.12773
3
citations

DecoyDB: A Dataset for Graph Contrastive Learning in Protein-Ligand Binding Affinity Prediction

Yupu Zhang, Zelin Xu, Tingsong Xiao et al.

NEURIPS 2025arXiv:2507.06366
1
citations

Decreasing Entropic Regularization Averaged Gradient for Semi-Discrete Optimal Transport

Ferdinand Genans, Antoine Godichon-Baggioni, François-Xavier Vialard et al.

NEURIPS 2025arXiv:2510.27340

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.

AAAI 2025paperarXiv:2502.04394
4
citations

DeDe: Detecting Backdoor Samples for SSL Encoders via Decoders

Sizai Hou, Songze Li, Duanyi Yao

CVPR 2025arXiv:2411.16154
2
citations

DEEM: Diffusion models serve as the eyes of large language models for image perception

Run Luo, Yunshui Li, Longze Chen et al.

ICLR 2025arXiv:2405.15232
34
citations

Deep Adaptive Unfolded Network via Spatial Morphology Stripping and Spectral Filtration for Pan-sharpening

Hebaixu Wang, Jiayi Ma

ICCV 2025

DeepASA: An Object-Oriented Multi-Purpose Network for Auditory Scene Analysis

Dongheon Lee, Younghoo Kwon, Jung-Woo Choi

NEURIPS 2025oralarXiv:2509.17247
1
citations

Deep Bayesian Filter for Bayes-Faithful Data Assimilation

Yuta Tarumi, Keisuke Fukuda, Shin-ichi Maeda

ICML 2025arXiv:2405.18674
2
citations

Deep Binding of Language Model Virtual Personas: a Study on Approximating Political Partisan Misperceptions

Minwoo Kang, Suhong Moon, Seung Hyeong Lee et al.

COLM 2025paperarXiv:2504.11673
2
citations

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.

CVPR 2025highlightarXiv:2503.00643
2
citations

Deep Compositional Phase Diffusion for Long Motion Sequence Generation

Ho Yin Au, Jie Chen, Junkun Jiang et al.

NEURIPS 2025oralarXiv:2510.14427
1
citations

Deep Compression Autoencoder for Efficient High-Resolution Diffusion Models

Junyu Chen, Han Cai, Junsong Chen et al.

ICLR 2025arXiv:2410.10733
138
citations

DeepCompress-ViT: Rethinking Model Compression to Enhance Efficiency of Vision Transformers at the Edge

Sabbir Ahmed, Abdullah Al Arafat, Deniz Najafi et al.

CVPR 2025
2
citations

Deep Continuous-Time State-Space Models for Marked Event Sequences

Yuxin Chang, Alex Boyd, Cao (Danica) Xiao et al.

NEURIPS 2025oralarXiv:2412.19634
6
citations

DeepCrossAttention: Supercharging Transformer Residual Connections

Mike Heddes, Adel Javanmard, Kyriakos Axiotis et al.

ICML 2025arXiv:2502.06785
1
citations

Deep Disentangled Metric Learning

Jinhee Park, Jisoo Park, Dagyeong Na et al.

AAAI 2025paper

Deep Distributed Optimization for Large-Scale Quadratic Programming

Augustinos Saravanos, Hunter Kuperman, Alex Oshin et al.

ICLR 2025arXiv:2412.12156
14
citations

DeepDiver: Adaptive Web-Search Intensity Scaling via Reinforcement Learning

Wenxuan Shi, Haochen Tan, Chuqiao Kuang et al.

NEURIPS 2025spotlight

Deep Edge Filter: Return of the Human-Crafted Layer in Deep Learning

Dongkwan Lee, JunHoo Lee, Nojun Kwak

NEURIPS 2025arXiv:2510.13865

Deep Electromagnetic Structure Design Under Limited Evaluation Budgets

Shijian Zheng, Fangxiao Jin, Shuhai Zhang et al.

ICML 2025arXiv:2506.19384

DeeperForward: Enhanced Forward-Forward Training for Deeper and Better Performance

Liang Sun, Yang Zhang, Weizhao He et al.

ICLR 2025

Deeper with Riemannian Geometry: Overcoming Oversmoothing and Oversquashing for Graph Foundation Models

Li Sun, Zhenhao Huang, Ming Zhang et al.

NEURIPS 2025arXiv:2510.17457
1
citations

Deep Evidential Hashing for Trustworthy Cross-Modal Retrieval

Yuan Li, Liangli Zhen, Yuan Sun et al.

AAAI 2025paper
8
citations

Deep Fair Multi-View Clustering with Attention KAN

HaiMing Xu, Qianqian Wang, Boyue Wang et al.

CVPR 2025highlight
2
citations

Deep Fuzzy Multi-view Learning for Reliable Classification

Siyuan Duan, Yuan Sun, Dezhong Peng et al.

ICML 2025

DeepGate4: Efficient and Effective Representation Learning for Circuit Design at Scale

Ziyang Zheng, Shan Huang, Jianyuan Zhong et al.

ICLR 2025arXiv:2502.01681
13
citations

Deep Gaussian from Motion: Exploring 3D Geometric Foundation Models for Gaussian Splatting

Yu Chen, Rolandos Alexandros Potamias, Evangelos Ververas et al.

NEURIPS 2025

Deep Generative Model for Mechanical System Configuration Design

Yasaman Etesam, Hyunmin Cheong, Mohammadmehdi Ataei et al.

AAAI 2025paperarXiv:2409.06016
5
citations

Deep Graph Online Hashing for Multi-Label Image Retrieval

Yuan Cao, Xiangru Chen, Zifan Liu et al.

AAAI 2025paper

DeepHalo: A Neural Choice Model with Controllable Context Effects

Shuhan Zhang, Zhi Wang, Rui Gao et al.

NEURIPS 2025oralarXiv:2601.04616

Deep Hierarchies and Invariant Disease-Indicative Feature Learning for Computer Aided Diagnosis of Multiple Fundus Diseases

Yuxin Lin, Wei Wang, Xiaoling Luo et al.

AAAI 2025paper

Deep Hypergraph Neural Networks with Tight Framelets

Ming Li, Yujie Fang, Yi Wang et al.

AAAI 2025paper

Deep Implicit Imitation Reinforcement Learning in Heterogeneous Action Settings

Iason Chrysomallis, Georgios Chalkiadakis, Ioannis Papamichail et al.

AAAI 2025paper

Deep Incomplete Multi-view Clustering with Distribution Dual-Consistency Recovery Guidance

Jiaqi Jin, Siwei Wang, Zhibin Dong et al.

ICCV 2025arXiv:2503.11017
2
citations

Deep Incomplete Multi-view Learning via Cyclic Permutation of VAEs

Xin Gao, Jian Pu

ICLR 2025arXiv:2502.11037
6
citations

DeepKD: A Deeply Decoupled and Denoised Knowledge Distillation Trainer

Haiduo Huang, Jiangcheng Song, Yadong Zhang et al.

NEURIPS 2025arXiv:2505.15133

Deep Kernel Posterior Learning under Infinite Variance Prior Weights

Jorge Loría, Anindya Bhadra

ICLR 2025arXiv:2410.01284

Deep Kernel Relative Test for Machine-generated Text Detection

Yiliao Song, Zhenqiao Yuan, Shuhai Zhang et al.

ICLR 2025
11
citations