Communities
Connect sessions
AI calendar
Organizations
Join Slack
Contact Sales

Terms and Conditions

Twitter GitHub LinkedIn Bluesky Youtube

© 2026 ResearchTrend.AI, All rights reserved.

Home
Papers
2406.09679
Cited By

Exploring Training on Heterogeneous Data with Mixture of Low-rank
Adapters

Exploring Training on Heterogeneous Data with Mixture of Low-rank Adapters

International Conference on Machine Learning (ICML), 2024

14 June 2024

Ya Zhang

Yanfeng Wang

ArXiv (abs)PDF HTML Github (16★)

Papers citing "Exploring Training on Heterogeneous Data with Mixture of Low-rank Adapters"

4 / 4 papers shown

EndoARSS: Adapting Spatially-Aware Foundation Model for Efficient Activity Recognition and Semantic Segmentation in Endoscopic Surgery

EndoARSS: Adapting Spatially-Aware Foundation Model for Efficient Activity Recognition and Semantic Segmentation in Endoscopic SurgeryAdvanced Intelligent Systems (Adv. Intell. Syst.), 2025

145

0

0

07 Jun 2025

Ensembles of Low-Rank Expert Adapters

Ensembles of Low-Rank Expert AdaptersInternational Conference on Learning Representations (ICLR), 2025

MohamadAli Torkamani

426

5

0

31 Jan 2025

Reprogramming Distillation for Medical Foundation Models

Reprogramming Distillation for Medical Foundation Models

Ya Zhang

Yanfeng Wang

267

3

0

09 Jul 2024

Solving Token Gradient Conflict in Mixture-of-Experts for Large Vision-Language Model

Solving Token Gradient Conflict in Mixture-of-Experts for Large Vision-Language Model

Longrong Yang

Dong Shen

Chaoxiang Cai

Fan Yang

422

8

0

28 Jun 2024