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Mixture-of-Experts

Papers

Showing 126150 of 1312 papers

TitleStatusHype
CNMBERT: A Model for Converting Hanyu Pinyin Abbreviations to Chinese CharactersCode2
CLIP-MoE: Towards Building Mixture of Experts for CLIP with Diversified Multiplet UpcyclingCode2
MiniDrive: More Efficient Vision-Language Models with Multi-Level 2D Features as Text Tokens for Autonomous DrivingCode2
MC-MoE: Mixture Compressor for Mixture-of-Experts LLMs Gains MoreCode2
MDFEND: Multi-domain Fake News DetectionCode2
SLED: Self Logits Evolution Decoding for Improving Factuality in Large Language ModelsCode2
Few-Shot and Continual Learning with Attentive Independent MechanismsCode1
FineMoGen: Fine-Grained Spatio-Temporal Motion Generation and EditingCode1
M4: Multi-Proxy Multi-Gate Mixture of Experts Network for Multiple Instance Learning in Histopathology Image AnalysisCode1
M^4oE: A Foundation Model for Medical Multimodal Image Segmentation with Mixture of ExpertsCode1
M3-Jepa: Multimodal Alignment via Multi-directional MoE based on the JEPA frameworkCode1
M3oE: Multi-Domain Multi-Task Mixture-of Experts Recommendation FrameworkCode1
Specialized federated learning using a mixture of expertsCode1
FLAME-MoE: A Transparent End-to-End Research Platform for Mixture-of-Experts Language ModelsCode1
M^3ViT: Mixture-of-Experts Vision Transformer for Efficient Multi-task Learning with Model-Accelerator Co-designCode1
Making Neural Networks Interpretable with Attribution: Application to Implicit Signals PredictionCode1
Exploiting Inter-Layer Expert Affinity for Accelerating Mixture-of-Experts Model InferenceCode1
LMHaze: Intensity-aware Image Dehazing with a Large-scale Multi-intensity Real Haze DatasetCode1
LOLA -- An Open-Source Massively Multilingual Large Language ModelCode1
AlphaLoRA: Assigning LoRA Experts Based on Layer Training QualityCode1
A Time Series is Worth Five Experts: Heterogeneous Mixture of Experts for Traffic Flow PredictionCode1
LLMCarbon: Modeling the end-to-end Carbon Footprint of Large Language ModelsCode1
Long-Tailed Visual Recognition via Self-Heterogeneous Integration with Knowledge ExcavationCode1
EWMoE: An effective model for global weather forecasting with mixture-of-expertsCode1
Examining Post-Training Quantization for Mixture-of-Experts: A BenchmarkCode1
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