:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Author:	Park, Sejik
Format:	Preprint
Published:	2024
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2405.11530
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Expert Merging in Sparse Mixture of Experts with Nash Bargaining
by: Nguyen, Dung V., et al.
Published: (2025)

Mixture-of-Clustered-Experts: Advancing Expert Specialization and Generalization in Instruction Tuning
by: Eo, Sugyeong, et al.
Published: (2025)

Sub-MoE: Efficient Mixture-of-Expert LLMs Compression via Subspace Expert Merging
by: Li, Lujun, et al.
Published: (2025)

How Many Experts Are Enough? Towards Optimal Semantic Specialization for Mixture-of-Experts
by: Park, Sumin, et al.
Published: (2025)

Mixture Compressor for Mixture-of-Experts LLMs Gains More
by: Huang, Wei, et al.
Published: (2024)

ResidualDroppath: Enhancing Feature Reuse over Residual Connections
by: Park, Sejik
Published: (2024)

Expert Merging: Model Merging with Unsupervised Expert Alignment and Importance-Guided Layer Chunking
by: Zhang, Dengming, et al.
Published: (2025)

$\infty$-MoE: Generalizing Mixture of Experts to Infinite Experts
by: Takashiro, Shota, et al.
Published: (2026)

When More Experts Hurt: Underfitting in Multi-Expert Learning to Defer
by: Liu, Shuqi, et al.
Published: (2026)

Speculating Experts Accelerates Inference for Mixture-of-Experts
by: Madan, Vivan, et al.
Published: (2026)

Continual Traffic Forecasting via Mixture of Experts
by: Lee, Sanghyun, et al.
Published: (2024)

Let the Experts Speak: Improving Survival Prediction & Calibration via Mixture-of-Experts Heads
by: Morrill, Todd, et al.
Published: (2025)

Train Separately, Merge Together: Modular Post-Training with Mixture-of-Experts
by: Morrison, Jacob, et al.
Published: (2026)

Generalizing GNNs with Tokenized Mixture of Experts
by: Guo, Xiaoguang, et al.
Published: (2026)

AnyExperts: On-Demand Expert Allocation for Multimodal Language Models with Mixture of Expert
by: Gao, Yuting, et al.
Published: (2025)

Routers Learn the Geometry of Their Experts: Geometric Coupling in Sparse Mixture-of-Experts
by: Ahrac, Sagi, et al.
Published: (2026)

Efficiently Editing Mixture-of-Experts Models with Compressed Experts
by: He, Yifei, et al.
Published: (2025)

Why Do More Experts Fail? A Theoretical Analysis of Model Merging
by: Wang, Zijing, et al.
Published: (2025)

Mixture of Raytraced Experts
by: Perin, Andrea, et al.
Published: (2025)

Mixture of Lookup Experts
by: Jie, Shibo, et al.
Published: (2025)

Dynamic Expert Quantization for Scalable Mixture-of-Experts Inference
by: Chu, Kexin, et al.
Published: (2025)

CAMEx: Curvature-aware Merging of Experts
by: Nguyen, Dung V., et al.
Published: (2025)

Soft Merging of Experts with Adaptive Routing
by: Muqeeth, Mohammed, et al.
Published: (2023)

Guided by the Experts: Provable Feature Learning Dynamic of Soft-Routed Mixture-of-Experts
by: Liao, Fangshuo, et al.
Published: (2025)

Theory on Mixture-of-Experts in Continual Learning
by: Li, Hongbo, et al.
Published: (2024)

PuzzleMoE: Efficient Compression of Large Mixture-of-Experts Models via Sparse Expert Merging and Bit-packed inference
by: Zhao, Yushu, et al.
Published: (2025)

On Expert Estimation in Hierarchical Mixture of Experts: Beyond Softmax Gating Functions
by: Nguyen, Huy, et al.
Published: (2024)

Coupling Experts and Routers in Mixture-of-Experts via an Auxiliary Loss
by: Lv, Ang, et al.
Published: (2025)

Accelerating Mixture-of-Expert Inference with Adaptive Expert Split Mechanism
by: Yan, Jiaming, et al.
Published: (2025)

Chain-of-Experts: Unlocking the Communication Power of Mixture-of-Experts Models
by: Wang, Zihan, et al.
Published: (2025)

Preserving Long-Tailed Expert Information in Mixture-of-Experts Tuning
by: He, Haoze, et al.
Published: (2026)

Expert Upcycling: Shifting the Compute-Efficient Frontier of Mixture-of-Experts
by: Dwivedi, Chaitanya, et al.
Published: (2026)

Merging Multi-Task Models via Weight-Ensembling Mixture of Experts
by: Tang, Anke, et al.
Published: (2024)

Path-Constrained Mixture-of-Experts
by: Gu, Zijin, et al.
Published: (2026)

$μ$-Parametrization for Mixture of Experts
by: Małaśnicki, Jan, et al.
Published: (2025)

Scaling Multi-Node Mixture-of-Experts Inference Using Expert Activation Patterns
by: Bambhaniya, Abhimanyu, et al.
Published: (2026)

Channel Merging: Preserving Specialization for Merged Experts
by: Zhang, Mingyang, et al.
Published: (2024)

Dynamic Mixture-of-Experts for Incremental Graph Learning
by: Kong, Lecheng, et al.
Published: (2025)

The Expert Strikes Back: Interpreting Mixture-of-Experts Language Models at Expert Level
by: Herbst, Jeremy, et al.
Published: (2026)

Shortcut-connected Expert Parallelism for Accelerating Mixture-of-Experts
by: Cai, Weilin, et al.
Published: (2024)