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Papers
DICE: Staleness-Centric Optimizations for Parallel Diffusion MoE Inference
ICCV 2025
Disentangling Multi-view Representations via Curriculum Learning with Learnable Prior
IJCAI 2025
Distribution-aware Fairness Learning in Medical Image Segmentation From A Control-Theoretic Perspective
ICML 2025
DIVE into MoE: Diversity-Enhanced Reconstruction of Large Language Models from Dense into Mixture-of-Experts
ACL 2025
Diversifying the Expert Knowledge for Task-Agnostic Pruning in Sparse Mixture-of-Experts
ACL 2025
Divide and Conquer: Coordinating Multiplex Mixture of Graph Learners to Handle Multi-Omics Analysis
IJCAI 2025
DRAE: Dynamic Retrieval-Augmented Expert Networks for Lifelong Learning and Task Adaptation in Robotics
ACL 2025
Dropping Experts, Recombining Neurons: Retraining-Free Pruning for Sparse Mixture-of-Experts LLMs
EMNLP 2025
Drop-Upcycling: Training Sparse Mixture of Experts with Partial Re-initialization
ICLR 2025
DSMoE: Matrix-Partitioned Experts with Dynamic Routing for Computation-Efficient Dense LLMs
EMNLP 2025
Dual-Granularity Semantic Guided Sparse Routing Diffusion Model for General Pansharpening
CVPR 2025
DutyTTE: Deciphering Uncertainty in Origin-Destination Travel Time Estimation
AAAI 2025
Dynamic Data Mixing Maximizes Instruction Tuning for Mixture-of-Experts
NAACL 2025
Dynamic-DINO: Fine-Grained Mixture of Experts Tuning for Real-time Open-Vocabulary Object Detection
ICCV 2025
Dynamic Expert Specialization: Towards Catastrophic Forgetting-Free Multi-Domain MoE Adaptation
EMNLP 2025
Dynamic Mixture of Experts: An Auto-Tuning Approach for Efficient Transformer Models
ICLR 2025
Dynamic Modeling of Patients, Modalities and Tasks via Multi-modal Multi-task Mixture of Experts
ICLR 2025
EAC-MoE: Expert-Selection Aware Compressor for Mixture-of-Experts Large Language Models
ACL 2025
EC-DIT: Scaling Diffusion Transformers with Adaptive Expert-Choice Routing
ICLR 2025
Efficient Data Driven Mixture-of-Expert Extraction from Trained Networks
CVPR 2025
Efficient Dictionary Learning with Switch Sparse Autoencoders
ICLR 2025
Efficient Diffusion Transformer Policies with Mixture of Expert Denoisers for Multitask Learning
ICLR 2025
Efficiently Democratizing Medical LLMs for 50 Languages via a Mixture of Language Family Experts
ICLR 2025
Efficiently Editing Mixture-of-Experts Models with Compressed Experts
EMNLP 2025
ELDER: Enhancing Lifelong Model Editing with Mixture-of-LoRA
AAAI 2025