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Mixture-of-Experts

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Showing 801–850 of 1312 papers

TitleStatusHype
Wolf: Captioning Everything with a World Summarization Framework—0
Yi-Lightning Technical Report—0
PMoE: Progressive Mixture of Experts with Asymmetric Transformer for Continual Learning—0
Zero-Resource Multilingual Model Transfer: Learning What to Share—0
Multimodal Fusion and Coherence Modeling for Video Topic Segmentation—0
HMDN: Hierarchical Multi-Distribution Network for Click-Through Rate Prediction—0
Mixture-of-Noises Enhanced Forgery-Aware Predictor for Multi-Face Manipulation Detection and Localization—0
Routing in Sparsely-gated Language Models responds to Context—0
On DeepSeekMoE: Statistical Benefits of Shared Experts and Normalized Sigmoid Gating—0
A Fast Kernel-based Conditional Independence test with Application to Causal Discovery—0
MoE-CAP: Benchmarking Cost, Accuracy and Performance of Sparse Mixture-of-Experts Systems—0
MegaScale-MoE: Large-Scale Communication-Efficient Training of Mixture-of-Experts Models in Production—0
A Survey of Generative Categories and Techniques in Multimodal Large Language Models—0
3D Gaussian Splatting Data Compression with Mixture of Priors—0
3D-MoE: A Mixture-of-Experts Multi-modal LLM for 3D Vision and Pose Diffusion via Rectified Flow—0
Accelerating Mixture-of-Experts Training with Adaptive Expert Replication—0
Accelerating MoE Model Inference with Expert Sharding—0
Acquiring Diverse Skills using Curriculum Reinforcement Learning with Mixture of Experts—0
Modular Action Concept Grounding in Semantic Video Prediction—0
AdaEnsemble: Learning Adaptively Sparse Structured Ensemble Network for Click-Through Rate Prediction—0
Ada-K Routing: Boosting the Efficiency of MoE-based LLMs—0
AdaMV-MoE: Adaptive Multi-Task Vision Mixture-of-Experts—0
Adapted-MoE: Mixture of Experts with Test-Time Adaption for Anomaly Detection—0
Adaptive Conditional Expert Selection Network for Multi-domain Recommendation—0
Adaptive Detection of Fast Moving Celestial Objects Using a Mixture of Experts and Physical-Inspired Neural Network—0
Adaptive Gating in Mixture-of-Experts based Language Models—0
Adaptive Mixture of Experts Learning for Generalizable Face Anti-Spoofing—0
Adaptive Mixture of Low-Rank Experts for Robust Audio Spoofing Detection—0
Adaptive Prompting for Continual Relation Extraction: A Within-Task Variance Perspective—0
Adaptive Prompt: Unlocking the Power of Visual Prompt Tuning—0
Adaptive Segmentation-Based Initialization for Steered Mixture of Experts Image Regression—0
AdaSpeech 3: Adaptive Text to Speech for Spontaneous Style—0
AdaTag: Multi-Attribute Value Extraction from Product Profiles with Adaptive Decoding—0
Addressing Complex and Subjective Product-Related Queries with Customer Reviews—0
ADMoE: Anomaly Detection with Mixture-of-Experts from Noisy Labels—0
Advancing Enterprise Spatio-Temporal Forecasting Applications: Data Mining Meets Instruction Tuning of Language Models For Multi-modal Time Series Analysis in Low-Resource Settings—0
Advancing Expert Specialization for Better MoE—0
Advancing MoE Efficiency: A Collaboration-Constrained Routing (C2R) Strategy for Better Expert Parallelism Design—0
Advancing Robust Underwater Acoustic Target Recognition through Multi-task Learning and Multi-Gate Mixture-of-Experts—0
A Dynamic Approach to Stock Price Prediction: Comparing RNN and Mixture of Experts Models Across Different Volatility Profiles—0
Affect in Tweets Using Experts Model—0
A Generalist Cross-Domain Molecular Learning Framework for Structure-Based Drug Discovery—0
A General Theory for Softmax Gating Multinomial Logistic Mixture of Experts—0
Agent4Ranking: Semantic Robust Ranking via Personalized Query Rewriting Using Multi-agent LLM—0
AIREX: Neural Network-based Approach for Air Quality Inference in Unmonitored Cities—0
A Large-scale Medical Visual Task Adaptation Benchmark—0
Alternating Gradient Descent and Mixture-of-Experts for Integrated Multimodal Perception—0
Alternating Updates for Efficient Transformers—0
AMEND: A Mixture of Experts Framework for Long-tailed Trajectory Prediction—0
A Mixture of Expert Approach for Low-Cost Customization of Deep Neural Networks—0
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