Cover Image

Efficient Data Driven Mixture-of-Expert Extraction from Trained Networks

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Berisha, Uranik, Mehnert, Jens, Condurache, Alexandru Paul
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Variance-Based Pruning for Accelerating and Compressing Trained Networks
by: Berisha, Uranik, et al.
Published: (2025)

PROM: Prioritize Reduction of Multiplications Over Lower Bit-Widths for Efficient CNNs
by: Meiner, Lukas, et al.
Published: (2025)

Data-Free Dynamic Compression of CNNs for Tractable Efficiency
by: Meiner, Lukas, et al.
Published: (2023)

FLARES: Fast and Accurate LiDAR Multi-Range Semantic Segmentation
by: Yang, Bin, et al.
Published: (2025)

Collaborative Learning for Semi-Supervised LiDAR Semantic Segmentation
by: Yang, Bin, et al.
Published: (2026)

CNN Mixture-of-Depths
by: Cakaj, Rinor, et al.
Published: (2024)

FA-KPConv: Introducing Euclidean Symmetries to KPConv via Frame Averaging
by: Alawieh, Ali, et al.
Published: (2025)

SparseLaneSTP: Leveraging Spatio-Temporal Priors with Sparse Transformers for 3D Lane Detection
by: Pittner, Maximilian, et al.
Published: (2026)

Towards Foundation Models for 3D Scene Understanding: Instance-Aware Self-Supervised Learning for Point Clouds
by: Yang, Bin, et al.
Published: (2026)

LaneCPP: Continuous 3D Lane Detection using Physical Priors
by: Pittner, Maximilian, et al.
Published: (2024)

PseudoMapTrainer: Learning Online Mapping without HD Maps
by: Löwens, Christian, et al.
Published: (2025)

Unsupervised Point Cloud Registration with Self-Distillation
by: Löwens, Christian, et al.
Published: (2024)

LPT++: Efficient Training on Mixture of Long-tailed Experts
by: Dong, Bowen, et al.
Published: (2024)

Spectral Wavelet Dropout: Regularization in the Wavelet Domain
by: Cakaj, Rinor, et al.
Published: (2024)

Squeeze-and-Remember Block
by: Cakaj, Rinor, et al.
Published: (2024)

Domain-Expert-Guided Hybrid Mixture-of-Experts for Medical AI: Integrating Data-Driven Learning with Clinical Priors
by: Gu, Jinchen, et al.
Published: (2026)

Mixture of Efficient Diffusion Experts Through Automatic Interval and Sub-Network Selection
by: Ganjdanesh, Alireza, et al.
Published: (2024)

Learning Through Retrospection: Improving Trajectory Prediction for Automated Driving with Error Feedback
by: Hagedorn, Steffen, et al.
Published: (2025)

ISALux: Illumination and Segmentation Aware Transformer Employing Mixture of Experts for Low Light Image Enhancement
by: Balmez, Raul, et al.
Published: (2025)

Efficient Training of Diffusion Mixture-of-Experts Models: A Practical Recipe
by: Liu, Yahui, et al.
Published: (2025)

MoEE: Mixture of Emotion Experts for Audio-Driven Portrait Animation
by: Liu, Huaize, et al.
Published: (2025)

Parameter Efficient Adaptation for Image Restoration with Heterogeneous Mixture-of-Experts
by: Guo, Hang, et al.
Published: (2023)

Mr. DETR++: Instructive Multi-Route Training for Detection Transformers with Mixture-of-Experts
by: Zhang, Chang-Bin, et al.
Published: (2024)

Rasterized Steered Mixture of Experts for Efficient 2D Image Regression
by: Li, Yi-Hsin, et al.
Published: (2025)

Rethinking Efficient Mixture-of-Experts for Remote Sensing Modality-Missing Classification
by: Gao, Qinghao, et al.
Published: (2025)

Robust Experts: the Effect of Adversarial Training on CNNs with Sparse Mixture-of-Experts Layers
by: Pavlitska, Svetlana, et al.
Published: (2025)

Neural Experts: Mixture of Experts for Implicit Neural Representations
by: Ben-Shabat, Yizhak, et al.
Published: (2024)

CLIP-UP: A Simple and Efficient Mixture-of-Experts CLIP Training Recipe with Sparse Upcycling
by: Wang, Xinze, et al.
Published: (2025)

The Integration of Prediction and Planning in Deep Learning Automated Driving Systems: A Review
by: Hagedorn, Steffen, et al.
Published: (2023)

CSMoE: An Efficient Remote Sensing Foundation Model with Soft Mixture-of-Experts
by: Hackel, Leonard, et al.
Published: (2025)

MAST-Pro: Dynamic Mixture-of-Experts for Adaptive Segmentation of Pan-Tumors with Knowledge-Driven Prompts
by: Meng, Runqi, et al.
Published: (2025)

Video Relationship Detection Using Mixture of Experts
by: Shaabana, Ala, et al.
Published: (2024)

MixSA: Training-free Reference-based Sketch Extraction via Mixture-of-Self-Attention
by: Yang, Rui, et al.
Published: (2025)

Awaker2.5-VL: Stably Scaling MLLMs with Parameter-Efficient Mixture of Experts
by: Long, Jinqiang, et al.
Published: (2024)

MoE-FFD: Mixture of Experts for Generalized and Parameter-Efficient Face Forgery Detection
by: Kong, Chenqi, et al.
Published: (2024)

ERMoE: Eigen-Reparameterized Mixture-of-Experts for Stable Routing and Interpretable Specialization
by: Cheng, Anzhe, et al.
Published: (2025)

EMoE: Eigenbasis-Guided Routing for Mixture-of-Experts
by: Cheng, Anzhe, et al.
Published: (2026)

SPMTrack: Spatio-Temporal Parameter-Efficient Fine-Tuning with Mixture of Experts for Scalable Visual Tracking
by: Cai, Wenrui, et al.
Published: (2025)

Dynamic Mixture-of-Experts for Visual Autoregressive Model
by: Vincenti, Jort, et al.
Published: (2025)

Mixture-of-Experts in Remote Sensing: A Survey
by: Cui, Yongchuan, et al.
Published: (2026)