conftrace_

mixture of expert

640 papers

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Also known as

MOE

Co-occurring keywords

large language model (13587) model compression (3302) multi-task learning (2575) multimodal learning (4645) neural network (6616) knowledge distillation (3725) low-rank adaptation (560) parameter efficiency (417) transfer learning (5449) expert routing (44)

Papers

Mixture-of-Trees: Learning to Select and Weigh Reasoning Paths for Efficient LLM Inference AAAI 2026

Decomposing the Neurons: Activation Sparsity via Mixture of Experts for Continual Test Time Adaptation AAAI 2026

AquaSentinel: Next-Generation AI System Integrating Sensor Networks for Urban Underground Water Pipeline Anomaly Detection via Collaborative MoE-LLM Agent Architecture AAAI 2026

RUL-QMoE: Multiple Non-crossing Quantile Mixture-of-Experts for Probabilistic Remaining Useful Life Predictions of Varying Battery Materials AAAI 2026

Two Heads Are Better than One: Distilling Large Language Model Features into Small Models with Feature Decomposition and Mixture AAAI 2026

EvoMoE: Expert Evolution in Mixture of Experts for Multimodal Large Language Models AAAI 2026

Balanced Knowledge Distillation for Large Language Models with Mix-of-Experts AAAI 2026

OmniScale: Scaling Any Modality Model Training with Model-Centric Distributed Recipe Zoo AAAI 2026

CasMoE: A Cascaded Framework for Efficient MoE Inference on Resource-constrained Devices AAAI 2026

Hybrid Routing for a Mixture of LoRA Experts AAAI 2026

MMBERT: Scaled Mixture-of-Experts Multimodal BERT for Robust Chinese Hate Speech Detection Under Cloaking Perturbations AAAI 2026

MoLoRA: Boosting LLM-based End-to-end Speech Translation with Mixture of Low-rank Experts AAAI 2026

ISALux: Illumination and Semantics-Aware Transformer Employing Mixture of Experts for Low Light Image Enhancement WACV 2026

Automated Suturing Skill Assessment in Robot-assisted Surgery from Endoscopic Videos using Clinically-guided Evaluation Criteria WACV 2026

FLoMo-Net: A Novel Task-Adaptive Mixture of Experts Routing Framework with Frequency and Uncertainty Correction for Medical Image Segmentation WACV 2026

Specialization through Collaboration: Understanding Expert Interaction in Mixture-of-Expert Large Language Models EACL 2026

H3Fusion: Helpful, Harmless, Honest Fusion of Aligned LLMs EACL 2026

Improving Dialect Robustness in Large Language Models via LoRA and Mixture-of-Experts EACL 2026

DeepSenseMoE: Harnessing Power of Time Series Foundation Models for Few-Shot Human Activity Recognition AAAI 2026

MMPG: MoE-based Adaptive Multi-Perspective Graph Fusion for Protein Representation Learning AAAI 2026

MoEGaze: A Mixture of Experts Approach for Generalizable Gaze Estimation AAAI 2026

Unified Mixture-of-Experts Framework for Joint Cardiac and Vascular Ultrasound Analysis and Report Generation AAAI 2026

Exploring High-order-aware Prompt Learning for Zero-shot Anomaly Detection AAAI 2026

MCMoE: Completing Missing Modalities with Mixture of Experts for Incomplete Multimodal Action Quality Assessment AAAI 2026

SM3Det: A Unified Model for Multi-Modal Remote Sensing Object Detection AAAI 2026