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Mixture-of-Experts

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Showing 951–1000 of 1312 papers

TitleStatusHype
Continual Pre-training of MoEs: How robust is your router?—0
Continual Traffic Forecasting via Mixture of Experts—0
Convergence Rates for Softmax Gating Mixture of Experts—0
Convolutional Neural Networks and Mixture of Experts for Intrusion Detection in 5G Networks and beyond—0
Coordination with Humans via Strategy Matching—0
Core-Periphery Principle Guided State Space Model for Functional Connectome Classification—0
Correlative and Discriminative Label Grouping for Multi-Label Visual Prompt Tuning—0
CoSMoEs: Compact Sparse Mixture of Experts—0
Cross-Topic Rumor Detection using Topic-Mixtures—0
CSAOT: Cooperative Multi-Agent System for Active Object Tracking—0
D^2MoE: Dual Routing and Dynamic Scheduling for Efficient On-Device MoE-based LLM Serving—0
DADNN: Multi-Scene CTR Prediction via Domain-Aware Deep Neural Network—0
DA-MoE: Towards Dynamic Expert Allocation for Mixture-of-Experts Models—0
Data Expansion using Back Translation and Paraphrasing for Hate Speech Detection—0
Decoding Knowledge Attribution in Mixture-of-Experts: A Framework of Basic-Refinement Collaboration and Efficiency Analysis—0
Deep Gaussian Covariance Network—0
Deep Learning Mixture-of-Experts Approach for Cytotoxic Edema Assessment in Infants and Children—0
Demons in the Detail: On Implementing Load Balancing Loss for Training Specialized Mixture-of-Expert Models—0
Demystifying Softmax Gating Function in Gaussian Mixture of Experts—0
Denoising OCT Images Using Steered Mixture of Experts with Multi-Model Inference—0
Dense Training, Sparse Inference: Rethinking Training of Mixture-of-Experts Language Models—0
DeRS: Towards Extremely Efficient Upcycled Mixture-of-Experts Models—0
Detecting Financial Fraud with Hybrid Deep Learning: A Mix-of-Experts Approach to Sequential and Anomalous Patterns—0
dFLMoE: Decentralized Federated Learning via Mixture of Experts for Medical Data Analysis—0
Differentially Private Training of Mixture of Experts Models—0
Direct Neural Machine Translation with Task-level Mixture of Experts models—0
Discussion: Effective and Interpretable Outcome Prediction by Training Sparse Mixtures of Linear Experts—0
Disguise without Disruption: Utility-Preserving Face De-Identification—0
Distribution Learning for Molecular Regression—0
Diverse Machine Translation with a Single Multinomial Latent Variable—0
Diversified Dynamic Routing for Vision Tasks—0
Diversifying the Expert Knowledge for Task-Agnostic Pruning in Sparse Mixture-of-Experts—0
Diversifying the Mixture-of-Experts Representation for Language Models with Orthogonal Optimizer—0
Diversity-Promoting Bayesian Learning of Latent Variable Models—0
Divide-and-Conquer: Cold-Start Bundle Recommendation via Mixture of Diffusion Experts—0
Divide, Conquer, and Combine: Mixture of Semantic-Independent Experts for Zero-Shot Dialogue State Tracking—0
Double Deep Q-Learning in Opponent Modeling—0
Double-Stage Feature-Level Clustering-Based Mixture of Experts Framework—0
Double-Wing Mixture of Experts for Streaming Recommendations—0
DriveMoE: Mixture-of-Experts for Vision-Language-Action Model in End-to-End Autonomous Driving—0
Dropout Regularization in Hierarchical Mixture of Experts—0
Drop-Upcycling: Training Sparse Mixture of Experts with Partial Re-initialization—0
DSMoE: Matrix-Partitioned Experts with Dynamic Routing for Computation-Efficient Dense LLMs—0
DualComp: End-to-End Learning of a Unified Dual-Modality Lossless Compressor—0
Duplex: A Device for Large Language Models with Mixture of Experts, Grouped Query Attention, and Continuous Batching—0
Each Rank Could be an Expert: Single-Ranked Mixture of Experts LoRA for Multi-Task Learning—0
EC-DIT: Scaling Diffusion Transformers with Adaptive Expert-Choice Routing—0
ECG-EmotionNet: Nested Mixture of Expert (NMoE) Adaptation of ECG-Foundation Model for Driver Emotion Recognition—0
Edge-Aware Autoencoder Design for Real-Time Mixture-of-Experts Image Compression—0
EEGMamba: Bidirectional State Space Model with Mixture of Experts for EEG Multi-task Classification—0
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