Mixture-Of-Experts

Ask about this field

Recent momentum

emerging

0 papers in the last 28 days · 0.0% of indexed attention

Twelve weeks of publication activity for this topic as it is defined today.

Weekly history

Recent digests

What was published in this field, kept on the site without email delivery.

Period ending 2026-09-21

21 new papers

A weekly snapshot of new work published in Mixture-Of-Experts.

Period ending 2026-09-14

8 new papers

A weekly snapshot of new work published in Mixture-Of-Experts.

Period ending 2026-09-07

23 new papers

A weekly snapshot of new work published in Mixture-Of-Experts.

Inside this field

Focused directions

584 papers

Latest in Mixture-Of-Experts

Browse all topics →
CardsList

  1. MixCompress: Mixture of Experts for Variable Rate Learned Image Compression

    Jul 15, 2026Calvin-Khang Ta, Praneet Singh, Tong Shao +1Learned Image CompressionUltra-Low Bitrates

  2. Multi-Expert Routing for Multi-Domain Low-Resource OCR: A Manchu Case Study

    Jul 15, 2026Zhan Chen, Jiqiao Ma, Chih-wen KuoOptical Character RecognitionHandwriting

  3. Less Experts, Faster Decoding: Cost-Aware Speculative Decoding for Mixture-of-Experts

    Jul 14, 2026Jincheng Xie, Runheng Liu, Heyan Huang +4Speculative DecodingMixture-of-Experts Models

  4. Understanding Structured Health Data through Interaction-Aware Mixture-of-Experts

    Jul 14, 2026Ji Hwan Park, Ying Ding, Tianjin GuoMixture-of-Experts ModelsMultimodal Clinical Data

  5. From Global to Factor-Wise Expert Composition in Discrete Diffusion Models

    Jul 13, 2026Haozhe Huang, Yudong Xu, Abhijoy Mandal +1Discrete Diffusion ModelFactor

  6. HCRMap: Pressure-Aware Hot-Expert Residency Mapping for 3.5D MoE Chiplet Inference

    Jul 13, 2026Yongqin ZhangMixture-Of-Expert InferenceMixture-of-Experts Models

  7. UMoE:Unlocking Every Expert in Domain-Specific Training

    Jul 13, 2026Xuefeng Li, Pengfei LiuMixture-Of-Expert Language ModelsExperts

  8. Anomalous Frame Detection by Grouping Frame Similarities between Two Videos Computed by Vision-Language Model to Extract Expert Workers' Unique Actions

    Jul 12, 2026Ryo Sakai, Yongpeng Cao, Nobutaka KimuraAnomalous Frame DetectionAnomaly

  9. A Sovereign, Open-Source Foundation Model for German and English

    Jul 10, 2026The Soofi-Team, :, Benedikt Droste +29Mixture-Of-Expert Language ModelsWireless Foundation Models

  10. Mach-Mind-4-Flash Technical Report

    Jul 10, 2026Foundation Model TeamAgentic Reinforcement-Learning FrameworkMixture-of-Experts Models

  11. It Takes a MAESTRO To Prune Bad Experts

    Jul 9, 2026Palaash Goel, Ayush Maheshwari, Tanmoy ChakrabortyMixture-of-Experts ModelsExperts

  12. On the Design of Mixture-of-Experts for Dynamic Gaussian Splatting

    Jul 9, 2026In-Hwan Jin, Hyeongju Mun, Joonsoo Kim +23D Gaussian SplatsGaussian Splatting

  13. Mixture of Enhanced-View Experts for Multi-Query Vehicle ReID and A Large-Scale Benchmark

    Jul 9, 2026Aihua Zheng, Jie Zhen, Chenglong Li +2Re-IdentificationMulti-View

  14. Scaling Mixture-of-Experts Video Pretraining for Embodied Intelligence

    Jul 8, 2026Shuailei Ma, Jiaqi Liao, Xinyang Wang +24Video PretrainingIntelligence

  15. Image classification via a quantum-inspired strategy involving a mixture of experts

    Jul 8, 2026Kumari Jyoti, Rohith Babu, Apoorva D. PatelHybrid Quantum Neural NetworksImage Classification

  16. ProMoE-FL: Prototype-conditioned Mixture of Experts for Multimodal Federated Learning with Missing Modalities

    Jul 7, 2026Aavash Chhetri, Bibek Niroula, Eduard Vazquez +4Missing ModalitiesRobust Multimodal Learning

  17. UBEP: Re-architecting Expert Parallelism Communication Library for Production Superpods

    Jul 7, 2026Yipeng Liu, Chang Liu, Si Shen +16Mixture-Of-Expert InferenceMixture-of-Experts Models

  18. RoME: Robust Mixture of Low-Rank Experts against Multiple Adversarial Perturbations

    Jul 7, 2026Woo Jae Kim, Kyle Min, Suhyeon Ha +2Adversarial TransferabilityMixture-of-Experts Models

  19. SpaR3D-MoE: Adaptive 3D Spatial Reasoning from Sparse Views Meets Geometry-Inductive Mixture-of-Experts

    Jul 7, 2026Haida Feng, Hao Wei, Haolin Wang +33D Spatial ReasoningMixture-of-Experts Models

  20. NEST: Tackling Dataset-Level Distribution Shifts via Regime-Oriented Mixture-of-Experts

    Jul 7, 2026Lanhao Li, Bingshu Xie, Lijun Sun +3Distribution ShiftsMixture-of-Experts Models

  21. TriRoute: Unified Learned Routing for Joint Adaptive Attention, Experts, and KV-Cache Allocation

    Jul 7, 2026Andrii Balashov, Olena PonomarovaAdaptive RoutingQuadratic Attention

  22. Localized LoRA-MoE: Block-wise Low-Rank Experts With Adaptive Routing

    Jul 6, 2026Babak Barazandeh, Subhabrata Majumdar, Vinay Prithyani +1Low-Rank AdaptationSparse Expert Activation

  23. Optimal Mixture-of-Experts Model Averaging for Conditional Generative Models

    Jul 5, 2026Shijin Gong, Baihua He, Xinyu ZhangGenerative ModelsMixture-of-Experts Models

  24. WPG-MoE: Weak-Prior-Guided Dense Mixture-of-Experts for User-Level Social Media Depression Detection

    Jul 5, 2026Xian Li, Yuanhe Tian, Yang Yang +2Depression DetectionScreening

  25. Worldscape-MoE: A Unified Mixture-of-Experts World Model for Scalable Heterogeneous Action Control

    Jul 4, 2026Jianjie Fang, Yongyan Xu, Ziyou Wang +13Efficient World-Action ModelLong-Tail Humanoid Whole-Body Control

  26. CL-Anomaly: Layer-Adaptive Mixture-of-Experts with Multimodal Large Language Model for Continual Learning in Anomaly Detection

    Jul 3, 2026Wen Dong, Zhao Wang, Shuangqing Zhang +5Efficient Continual LearningAnomaly Detection

  27. Gemma 4 Technical Report

    Jul 2, 2026Gemma Team, Sherif El Abd, Vaibhav Aggarwal +298Technical ReportEncoder-Decoder Architectures

  28. RES-DARE: Failure-Aware Expert Adaptation and Rollback-Safe Self-Repair for Intrusion Detection

    Jul 2, 2026Rahil Aftab, Anyash Prasad, Soumya Mazumdar +2Intrusion DetectionFault Injection Experiments

  29. MARVEL: Margin-Aware Robust von Mises-Fischer Expert Learning for Long-Tailed Out-of-Distribution Detection

    Jul 2, 2026A. S. Anudeep, Vaanathi SundaresanOut-Of-Distribution DetectionOut-Of-Distribution

  30. Mixture-of-Parallelisms: Towards Memory-Efficient Training Stack for Mixture-of-Experts Models

    Jul 2, 2026Xuan-Phi Nguyen, Shrey Pandit, Yiran Zhao +3Mixture-of-Experts ModelsBillion-Parameter Models

  31. EPnG: Adaptive Expert Prune-and-Grow for Parameter-Efficient MoE Fine-tuning

    Jul 2, 2026Ahin Lee, Sehyun Yun, Taesik GongParameter-Efficient Fine-TuningMixture-of-Experts Models

  32. Generic Expert Coverage for Pruning SparseMixture-of-Experts Language Models

    Jul 2, 2026Yongqin Zeng, Sicheng Pan, Jiale Wang +4Mixture-of-Experts ModelsPruning

  33. On the Utility and Factual Reliability of Pruned Mixture-of-Experts Models in the Biomedical Domain

    Jul 1, 2026Atsuki Yamaguchi, Szymon Palucha, Léo Bijar +2Mixture-of-Experts ModelsSelective

  34. Spatial-Temporal Expert Learning for Video-based Person Re-identification

    Jul 1, 2026Xiaofei Hui, Pengfei Wang, Evan Ling +4Re-IdentificationSpatiotemporal Representations

  35. MEPA: Multi-Scale Representation Alignment for Visual Autoregressive Modeling with Mixture of Experts

    Jul 1, 2026Nuoyan Zhou, Zhijun Tu, Lei Yu +4Visual Autoregressive ModelsAutoregressive Generation

  36. FRAME: Learning the Adaptation Domain with a Mixture of Fractional-Fourier Experts

    Jun 30, 2026Tom Saliencro, Maya Lindqvist, Rohan Desai +2Parameter-Efficient Fine-TuningMixture-of-Experts Models

  37. FaceMoE: Mixture of Experts for Low-Resolution Face Recognition

    Jun 30, 2026Kartik Narayan, Vishal M. PatelFacial RecognitionLow-Resolution

  38. CHERRY: Compressed Hierarchical Experts with Recurrent Representational Yield

    Jun 30, 2026Dohyeon Kwon, Youngjin ParkLarge Language Model CompressionToken-Level Supervision

  39. Learning to Select, Not Relearn: Hard-Routed Mixtures of Reasoning LoRAs

    Jun 30, 2026Seyed Alireza Molavi, Zhan Su, Yan Hu +3Low-Rank Adaptation AdaptersLow-Rank Adaptation

  40. Dual-Adaptive SAM3: Hierarchical Routing over Low-Rank Expert Layers for Parameter-Efficient Medical Image Segmentation

    Jun 30, 2026Ying Chen, Jinyue Li, Kun Wang +2Few-Shot Medical Image SegmentationMedical Image Segmentation

  41. ExPLoRe: Expert Patch-Level Loss Routing for Multi-Objective Masked Image Modeling

    Jun 30, 2026Konstantinos Georgiou, Maofeng Tang, Hairong QiMixture-of-Experts ModelsMulti-Objective Optimization

  42. Behavior Cloning is Not All You Need: The Optimality of On-Policy Distillation for Noisy Expert Feedback

    Jun 29, 2026Ved Sriraman, Peihan Liu, Daniel Hsu +1On-Policy DistillationImitation Learning

  43. Beyond expert users: agents should help users construct preferences, not just elicit them

    Jun 29, 2026Irena Saracay, Ludwig Schmidt, Carlos GuestrinAgentic CommerceExperience

  44. A Multi-task Mixture of Experts Framework for Malware Classification, Packing Detection, and Family Attribution

    Jun 29, 2026Jithin S., Roshin Sleeba C., Anvin Mariya P. B. +4Malware DetectionMixture-of-Experts Models

  45. When Does Online Imitation Learning Help in LLM Post-Training? The Role of (Non-)Realizability Beyond Horizon

    Jun 29, 2026Huaqing Zhang, Jingchu Gai, Juno Kim +2Imitation LearningLarge Language Model Post-Training

  46. Residual-Guided Expert Specialization for Incomplete Multimodal Learning

    Jun 29, 2026Seunghun Baek, Jihwan Park, Jaeyoon Sim +3Robust Multimodal LearningMixture-of-Experts Models

  47. DAIN: Dynamic Agent-Based Interaction Network for Efficient and Collaborative Multimodal Reasoning

    Jun 29, 2026Xinxin Chen, Yuchen Li, Zihan Wang +3Multimodal FusionMultimodal Agents

  48. DeepTrans Studio: Turning Expert Interventions into Shared Team Knowledge in Agentic Translation Workflows

    Jun 29, 2026Ziyang Lian, Qingya Zhang, Hao Wang +5Agentic WorkflowsMachine Translation

  49. Does Role Specialization Matter for Explanation Faithfulness in Mixture-of-Experts?

    Jun 28, 2026Yeji Kim, Housam Babiker, Mi-Young Kim +1Mixture-of-Experts ModelsExplanation Faithfulness

  50. TF-MoE: Time-Frequency Mixture-of-Experts for Efficient Speech Separation

    Jun 28, 2026Qinzhe Hu, Chenda Li, Wangyou Zhang +3Speech SeparationTime-Frequency

  51. Mixture of Debaters: Learn to Debate at Architectural Level in Multi-Agent Reasoning

    Jun 28, 2026Dayong Liang, Kaisong Gong, Yi Cai +2Multi-Agent DebateDebate

  52. Fisher-Routed Mixture of Experts for Federated Class-Incremental Learning

    Jun 27, 2026Wenhao Yuan, Chenchen Lin, Jian Chen +3Federated LearningDomain Incremental Learning

  53. FreqOrtho-SR: Frequency-Guided Orthogonal Expert Learning for Real-World Image Super-Resolution

    Jun 27, 2026Minh Son Hoang, Dinh Phu Tran, Quyen Nguyen Duc +2Generative Super-ResolutionImage Restoration

  54. CLEAR-MoE: Shared-Basis Expert Extraction from Frozen Vision Transformers via Calibration-Driven Layer Selection

    Jun 26, 2026Md Irtiza Hossain, Humaira Ayesha, Junaid Ahmed SifatVision TransformerMixture-of-Experts Models

  55. FlexMoE: One-for-All Nested Intra-Expert Pruning for MoE Language Models

    Jun 26, 2026Fan Mo, Yuxuan Han, Geng Zhang +2Mixture-Of-Expert Language ModelsMixture-of-Experts Models

  56. PAMAE: Phase-Aware-MoE Action Experts Towards Reliable Flow-Matching Vision-Language-Action Policies

    Jun 25, 2026Jiayu Yang, Tao Yang, Xiang Chang +3Flow-Matching Vision-Language-ActionVision-Language-Action Models

  57. Focusing on What Matters: Saliency-Harnessing Accurate Routing for Diffusion MoE

    Jun 25, 2026Haoyou Deng, Keyu Yan, Chaojie Mao +4Mixture-of-Experts ModelsSaliency

  58. Learning to Recover Task Experts from a Multi-Task Merged Model

    Jun 25, 2026Jinwook Jung, Taegyu Kim, Kumju Jo +1Multi--Task LearningMixture-of-Experts Models

  59. PlanRL: A Trajectory Planning Architecture for Reinforcement Learning-based Driving Experts

    Jun 25, 2026Joonhee Lim, Yongjae Lee, Jangho Shin +1Autonomous DrivingDeep Reinforcement Learning

  60. Optimizing CUDA like a Human: Micro-Profiling Tools as Expert Surrogates for LLM-Based GPU Kernel Optimization

    Jun 24, 2026Jiading Gai, Shuai Zhang, Kaj Bostrom +6Graphics Processing Unit KernelsCuda