Papers
Decentralized Bilevel Optimization: A Perspective from Transient Iteration Complexity
Boao Kong, Shuchen Zhu, Songtao Lu et al.
Decentralized Convergence to Equilibrium Prices in Trading Networks
Edwin Lock, Benjamin Patrick Evans, Eleonora Kreacic et al.
Decentralized Diffusion Models
David McAllister, Matthew Tancik, Jiaming Song et al.
Decentralized, Epoch-based F2FS Journaling with Fine-grained Crash Recovery
Yaotian Cui, Zhiqi Wang, Renhai Chen et al.
Decentralized Federated Learning with Model Caching on Mobile Agents
Xiaoyu Wang, Guojun Xiong, Houwei Cao et al.
Decentralized Low-Rank Fine-Tuning of Large Language Models
Sajjad Ghiasvand, Mahnoosh Alizadeh, Ramtin Pedarsani
Decentralized Noise Handling in Medical Imaging: Encoder-Decoder Based Federated Imputation for Robust Training
Yunyoung Chang, Yeonwoo Noh, Sang-Woong Lee et al.
Decentralized Online Learning by Selfish Agents in Coalition Formation
Saar Cohen, Noa Agmon
Decentralized Optimization with Coupled Constraints
Demyan Yarmoshik, Alexander Rogozin, Nikita Kiselev et al.
Decentralized Sparse Linear Regression via Gradient-Tracking
Marie Maros, Gesualdo Scutari, Ying Sun et al.
Decentralized Sporadic Federated Learning: A Unified Algorithmic Framework with Convergence Guarantees
Shahryar Zehtabi, Dong-Jun Han, Rohit Parasnis et al.
DecepBench: Benchmarking Multimodal Deception Detection
Ethan Braverman, Vittesh Maganti, Nysa Lalye et al.
DecEx-RAG: Boosting Agentic Retrieval-Augmented Generation with Decision and Execution Optimization via Process Supervision
Yongqi Leng, Yikun Lei, Xikai Liu et al.
DECIDER: Difference-aware Contrastive Diffusion Model with Adversarial Perturbations for Image Change Captioning
Guojin Zhong, Jinhong Hu, Jiajun Chen et al.
DeciMamba: Exploring the Length Extrapolation Potential of Mamba
Assaf Ben-Kish, Itamar Zimerman, Shady Abu-Hussein et al.
Deciphering Cross-Modal Alignment in Large Vision-Language Models via Modality Integration Rate
Qidong Huang, Xiaoyi Dong, Pan Zhang et al.
Deciphering the Complaint Aspects: Towards an Aspect-Based Complaint Identification Model with Video Complaint Dataset in Finance
Sarmistha Das, Basha Mujavarsheik, R E Zera Lyngkhoi et al.
Decision-Aware Preference Modeling for Multi-Behavior Recommendation
Qingfeng Li, Wei Liu, Zaiqiao Meng et al.
Decision-aware Training of Spatiotemporal Forecasting Models to Select a Top-K Subset of Sites for Intervention
Kyle Heuton, Frederick Muench, Shikhar Shrestha et al.
DecisionFlow: Advancing Large Language Model as Principled Decision Maker
Xiusi Chen, Shanyong Wang, Cheng Qian et al.
Decision from Suboptimal Classifiers: Excess Risk Pre- and Post-Calibration
Alexandre Perez-Lebel, Gael Varoquaux, Sanmi Koyejo et al.
Decision Information Meets Large Language Models: The Future of Explainable Operations Research
Yansen Zhang, Qingcan Kang, Wing Yin YU et al.
Decision Making in Changing Environments: Robustness, Query-Based Learning, and Differential Privacy
Fan Chen, Alexander Rakhlin