"parameter sharing" Papers
16 papers found
Conference
Basis Sharing: Cross-Layer Parameter Sharing for Large Language Model Compression
Jingcun Wang, Yu-Guang Chen, Ing-Chao Lin et al.
ICLR 2025arXiv:2410.03765
21
citations
Fast-in-Slow: A Dual-System VLA Model Unifying Fast Manipulation within Slow Reasoning
Hao Chen, Jiaming Liu, Chenyang Gu et al.
NEURIPS 2025
27
citations
Mitigate the Gap: Improving Cross-Modal Alignment in CLIP
Sedigheh Eslami, Gerard de Melo
ICLR 2025
15
citations
More Experts Than Galaxies: Conditionally-Overlapping Experts with Biologically-Inspired Fixed Routing
Sagi Shaier, Francisco Pereira, Katharina Kann et al.
ICLR 2025arXiv:2410.08003
MOSDT: Self-Distillation-Based Decision Transformer for Multi-Agent Offline Safe Reinforcement Learning
Yuchen Xia, Yunjian Xu
NEURIPS 2025
QMP: Q-switch Mixture of Policies for Multi-Task Behavior Sharing
Grace Zhang, Ayush Jain, Injune Hwang et al.
ICLR 2025oralarXiv:2302.00671
5
citations
Toward Efficient Multi-Agent Exploration With Trajectory Entropy Maximization
Tianxu Li, Kun Zhu
ICLR 2025
2
citations
UMoE: Unifying Attention and FFN with Shared Experts
Yuanhang Yang, Chaozheng Wang, Jing Li
NEURIPS 2025spotlightarXiv:2505.07260
VA-MoE: Variables-Adaptive Mixture of Experts for Incremental Weather Forecasting
Hao Chen, Tao Han, Song Guo et al.
ICCV 2025arXiv:2412.02503
3
citations
Dependency-aware Differentiable Neural Architecture Search
Buang Zhang, Xinle Wu, Hao Miao et al.
ECCV 2024
1
citations
FedLPS: Heterogeneous Federated Learning for Multiple Tasks with Local Parameter Sharing
Yongzhe Jia, Xuyun Zhang, Amin Beheshti et al.
AAAI 2024paperarXiv:2402.08578
11
citations
HarmoDT: Harmony Multi-Task Decision Transformer for Offline Reinforcement Learning
Shengchao Hu, Ziqing Fan, Li Shen et al.
ICML 2024arXiv:2405.18080
15
citations
Learning Causal Dynamics Models in Object-Oriented Environments
Zhongwei Yu, Jingqing Ruan, Dengpeng Xing
ICML 2024arXiv:2405.12615
4
citations
Multi-Task Dense Prediction via Mixture of Low-Rank Experts
Yuqi Yang, Peng-Tao Jiang, Qibin Hou et al.
CVPR 2024arXiv:2403.17749
60
citations
Not All Tasks Are Equally Difficult: Multi-Task Deep Reinforcement Learning with Dynamic Depth Routing
Jinmin He, Kai Li, Yifan Zang et al.
AAAI 2024paperarXiv:2312.14472
11
citations
Personalized Federated Domain-Incremental Learning based on Adaptive Knowledge Matching
Yichen Li, Wenchao Xu, Haozhao Wang et al.
ECCV 2024arXiv:2407.05005
29
citations