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Mixture-of-Experts

Papers

Showing 201250 of 1312 papers

TitleStatusHype
Mixture of Experts Meets Prompt-Based Continual LearningCode1
Condense, Don't Just Prune: Enhancing Efficiency and Performance in MoE Layer PruningCode1
M4: Multi-Proxy Multi-Gate Mixture of Experts Network for Multiple Instance Learning in Histopathology Image AnalysisCode1
LLMBind: A Unified Modality-Task Integration FrameworkCode1
LLMCarbon: Modeling the end-to-end Carbon Footprint of Large Language ModelsCode1
ChatVLA: Unified Multimodal Understanding and Robot Control with Vision-Language-Action ModelCode1
LMHaze: Intensity-aware Image Dehazing with a Large-scale Multi-intensity Real Haze DatasetCode1
M^4oE: A Foundation Model for Medical Multimodal Image Segmentation with Mixture of ExpertsCode1
Merging Multi-Task Models via Weight-Ensembling Mixture of ExpertsCode1
Lifting the Curse of Capacity Gap in Distilling Language ModelsCode1
LIBMoE: A Library for comprehensive benchmarking Mixture of Experts in Large Language ModelsCode1
Learning to Skip the Middle Layers of TransformersCode1
Learning Soccer Juggling Skills with Layer-wise Mixture-of-ExpertsCode1
Contrastive Learning and Mixture of Experts Enables Precise Vector EmbeddingsCode1
Towards Crowdsourced Training of Large Neural Networks using Decentralized Mixture-of-ExpertsCode1
Addressing Confounding Feature Issue for Causal RecommendationCode1
C3PO: Critical-Layer, Core-Expert, Collaborative Pathway Optimization for Test-Time Expert Re-MixingCode1
Layerwise Recurrent Router for Mixture-of-ExpertsCode1
LITE: Modeling Environmental Ecosystems with Multimodal Large Language ModelsCode1
DMoERM: Recipes of Mixture-of-Experts for Effective Reward ModelingCode1
RetGen: A Joint framework for Retrieval and Grounded Text Generation ModelingCode1
Multilinear Mixture of Experts: Scalable Expert Specialization through FactorizationCode1
Jakiro: Boosting Speculative Decoding with Decoupled Multi-Head via MoECode1
JanusDNA: A Powerful Bi-directional Hybrid DNA Foundation ModelCode1
MX-Font++: Mixture of Heterogeneous Aggregation Experts for Few-shot Font GenerationCode1
MxMoE: Mixed-precision Quantization for MoE with Accuracy and Performance Co-DesignCode1
Image Super-resolution Via Latent Diffusion: A Sampling-space Mixture Of Experts And Frequency-augmented Decoder ApproachCode1
Customizing Language Models with Instance-wise LoRA for Sequential RecommendationCode1
Improving Video-Text Retrieval by Multi-Stream Corpus Alignment and Dual Softmax LossCode1
Distilling the Knowledge in a Neural NetworkCode1
DirectMultiStep: Direct Route Generation for Multi-Step RetrosynthesisCode1
A Time Series is Worth Five Experts: Heterogeneous Mixture of Experts for Traffic Flow PredictionCode1
HyperRouter: Towards Efficient Training and Inference of Sparse Mixture of ExpertsCode1
Large Multi-modality Model Assisted AI-Generated Image Quality AssessmentCode1
Meta-DMoE: Adapting to Domain Shift by Meta-Distillation from Mixture-of-ExpertsCode1
Hierarchical Time-Aware Mixture of Experts for Multi-Modal Sequential RecommendationCode1
BrainMAP: Learning Multiple Activation Pathways in Brain NetworksCode1
Patch-level Routing in Mixture-of-Experts is Provably Sample-efficient for Convolutional Neural NetworksCode1
Heterogeneous Multi-task Learning with Expert DiversityCode1
Graph Sparsification via Mixture of GraphsCode1
Gradient-free variational learning with conditional mixture networksCode1
GraphMETRO: Mitigating Complex Graph Distribution Shifts via Mixture of Aligned ExpertsCode1
Heterogeneous Mixture of Experts for Remote Sensing Image Super-ResolutionCode1
HydraSum: Disentangling Stylistic Features in Text Summarization using Multi-Decoder ModelsCode1
Gated Multimodal Units for Information FusionCode1
GaVaMoE: Gaussian-Variational Gated Mixture of Experts for Explainable RecommendationCode1
EvoMoE: An Evolutional Mixture-of-Experts Training Framework via Dense-To-Sparse GateCode1
BiMediX: Bilingual Medical Mixture of Experts LLMCode1
FreqMoE: Enhancing Time Series Forecasting through Frequency Decomposition Mixture of ExpertsCode1
Dense Backpropagation Improves Training for Sparse Mixture-of-ExpertsCode1
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