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Mixture-of-Experts

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Showing 901–950 of 1312 papers

TitleStatusHype
Half-Space Feature Learning in Neural Networks—0
Two Heads are Better than One: Nested PoE for Robust Defense Against Multi-BackdoorsCode0
Revolutionizing Disease Diagnosis with simultaneous functional PET/MR and Deeply Integrated Brain Metabolic, Hemodynamic, and Perfusion Networks—0
Psychometry: An Omnifit Model for Image Reconstruction from Human Brain Activity—0
Jamba: A Hybrid Transformer-Mamba Language ModelCode0
Generalization Error Analysis for Sparse Mixture-of-Experts: A Preliminary Study—0
DESIRE-ME: Domain-Enhanced Supervised Information REtrieval using Mixture-of-ExpertsCode0
GeRM: A Generalist Robotic Model with Mixture-of-experts for Quadruped Robot—0
Skeleton-Based Human Action Recognition with Noisy LabelsCode0
MM1: Methods, Analysis & Insights from Multimodal LLM Pre-training—0
Equipping Computational Pathology Systems with Artifact Processing Pipelines: A Showcase for Computation and Performance Trade-offsCode0
Conditional computation in neural networks: principles and research trends—0
Branch-Train-MiX: Mixing Expert LLMs into a Mixture-of-Experts LLM—0
Acquiring Diverse Skills using Curriculum Reinforcement Learning with Mixture of Experts—0
MMoE: Robust Spoiler Detection with Multi-modal Information and Domain-aware Mixture-of-Experts—0
ConstitutionalExperts: Training a Mixture of Principle-based Prompts—0
Mixture-of-LoRAs: An Efficient Multitask Tuning for Large Language Models—0
Video Relationship Detection Using Mixture of ExpertsCode0
Vanilla Transformers are Transfer Capability Teachers—0
Hypertext Entity Extraction in Webpage—0
How does Architecture Influence the Base Capabilities of Pre-trained Language Models? A Case Study Based on FFN-Wider and MoE Transformers—0
Enhancing the "Immunity" of Mixture-of-Experts Networks for Adversarial Defense—0
An Effective Mixture-Of-Experts Approach For Code-Switching Speech Recognition Leveraging Encoder Disentanglement—0
m2mKD: Module-to-Module Knowledge Distillation for Modular TransformersCode0
ASEM: Enhancing Empathy in Chatbot through Attention-based Sentiment and Emotion ModelingCode0
Co-Supervised Learning: Improving Weak-to-Strong Generalization with Hierarchical Mixture of ExpertsCode0
PEMT: Multi-Task Correlation Guided Mixture-of-Experts Enables Parameter-Efficient Transfer Learning—0
MoELoRA: Contrastive Learning Guided Mixture of Experts on Parameter-Efficient Fine-Tuning for Large Language Models—0
Denoising OCT Images Using Steered Mixture of Experts with Multi-Model Inference—0
Towards an empirical understanding of MoE design choices—0
Turn Waste into Worth: Rectifying Top-k Router of MoE—0
MoRAL: MoE Augmented LoRA for LLMs' Lifelong Learning—0
Mixture of Link Predictors on GraphsCode0
AMEND: A Mixture of Experts Framework for Long-tailed Trajectory Prediction—0
P-Mamba: Marrying Perona Malik Diffusion with Mamba for Efficient Pediatric Echocardiographic Left Ventricular Segmentation—0
Differentially Private Training of Mixture of Experts Models—0
Buffer Overflow in Mixture of Experts—0
Task-customized Masked AutoEncoder via Mixture of Cluster-conditional Experts—0
On Parameter Estimation in Deviated Gaussian Mixture of Experts—0
Intrinsic User-Centric Interpretability through Global Mixture of ExpertsCode0
Approximation Rates and VC-Dimension Bounds for (P)ReLU MLP Mixture of Experts—0
On Least Square Estimation in Softmax Gating Mixture of Experts—0
FuseMoE: Mixture-of-Experts Transformers for Fleximodal Fusion—0
CompeteSMoE - Effective Training of Sparse Mixture of Experts via CompetitionCode0
pFedMoE: Data-Level Personalization with Mixture of Experts for Model-Heterogeneous Personalized Federated LearningCode0
MoDE: A Mixture-of-Experts Model with Mutual Distillation among the Experts—0
Explainable data-driven modeling via mixture of experts: towards effective blending of grey and black-box models—0
Checkmating One, by Using Many: Combining Mixture of Experts with MCTS to Improve in ChessCode0
LLaVA-MoLE: Sparse Mixture of LoRA Experts for Mitigating Data Conflicts in Instruction Finetuning MLLMs—0
Routers in Vision Mixture of Experts: An Empirical Study—0
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