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Mixture-of-Experts

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TitleStatusHype
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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