Long-Tail Learning with Foundation Model: Heavy Fine-Tuning Hurts
Fuente:
arXiv
Saved in:
| Main Authors: | Shi, Jiang-Xin, Wei, Tong, Zhou, Zhi, Shao, Jie-Jing, Han, Xin-Yan, Li, Yu-Feng |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
LIFT+: Lightweight Fine-Tuning for Long-Tail Learning
by: Shi, Jiang-Xin, et al.
Published: (2025)
by: Shi, Jiang-Xin, et al.
Published: (2025)
Efficient and Long-Tailed Generalization for Pre-trained Vision-Language Model
by: Shi, Jiang-Xin, et al.
Published: (2024)
by: Shi, Jiang-Xin, et al.
Published: (2024)
ULFine: Unbiased Lightweight Fine-tuning for Foundation-Model-Assisted Long-Tailed Semi-Supervised Learning
by: Zhang, Enhao, et al.
Published: (2025)
by: Zhang, Enhao, et al.
Published: (2025)
Adaptive Adapter Routing for Long-Tailed Class-Incremental Learning
by: Qi, Zhi-Hong, et al.
Published: (2024)
by: Qi, Zhi-Hong, et al.
Published: (2024)
Fine-Tuning Impairs the Balancedness of Foundation Models in Long-tailed Personalized Federated Learning
by: Hou, Shihao, et al.
Published: (2026)
by: Hou, Shihao, et al.
Published: (2026)
DeCoOp: Robust Prompt Tuning with Out-of-Distribution Detection
by: Zhou, Zhi, et al.
Published: (2024)
by: Zhou, Zhi, et al.
Published: (2024)
Parameter-Efficient Fine-Tuning in Spectral Domain for Point Cloud Learning
by: Liang, Dingkang, et al.
Published: (2024)
by: Liang, Dingkang, et al.
Published: (2024)
Heavy-Tailed Class-Conditional Priors for Long-Tailed Generative Modeling
by: Bouayed, Aymene Mohammed, et al.
Published: (2025)
by: Bouayed, Aymene Mohammed, et al.
Published: (2025)
BoxTuning: Directly Injecting the Object Box for Multimodal Model Fine-Tuning
by: Qian, Zekun, et al.
Published: (2026)
by: Qian, Zekun, et al.
Published: (2026)
CAPT: Class-Aware Prompt Tuning for Federated Long-Tailed Learning with Vision-Language Model
by: Hou, Shihao, et al.
Published: (2025)
by: Hou, Shihao, et al.
Published: (2025)
Learning from Neighbors: Category Extrapolation for Long-Tail Learning
by: Zhao, Shizhen, et al.
Published: (2024)
by: Zhao, Shizhen, et al.
Published: (2024)
Learn from Balance: Rectifying Knowledge Transfer for Long-Tailed Scenarios
by: Huang, Xinlei, et al.
Published: (2024)
by: Huang, Xinlei, et al.
Published: (2024)
Rectify the Regression Bias in Long-Tailed Object Detection
by: Zhu, Ke, et al.
Published: (2024)
by: Zhu, Ke, et al.
Published: (2024)
Cluster-Aware Neural Collapse Prompt Tuning for Long-Tailed Generalization of Vision-Language Models
by: Guo, Boyang, et al.
Published: (2026)
by: Guo, Boyang, et al.
Published: (2026)
Reviving Undersampling for Long-Tailed Learning
by: Yu, Hao, et al.
Published: (2024)
by: Yu, Hao, et al.
Published: (2024)
A Foundation Model for General Moving Object Segmentation in Medical Images
by: Yan, Zhongnuo, et al.
Published: (2023)
by: Yan, Zhongnuo, et al.
Published: (2023)
Concept Drift and Long-Tailed Distribution in Fine-Grained Visual Categorization: Benchmark and Method
by: Ye, Shuo, et al.
Published: (2023)
by: Ye, Shuo, et al.
Published: (2023)
Learning from Reduced Labels for Long-Tailed Data
by: Wei, Meng, et al.
Published: (2024)
by: Wei, Meng, et al.
Published: (2024)
Text-guided Foundation Model Adaptation for Long-Tailed Medical Image Classification
by: Li, Sirui, et al.
Published: (2024)
by: Li, Sirui, et al.
Published: (2024)
BEM: Balanced and Entropy-based Mix for Long-Tailed Semi-Supervised Learning
by: Zheng, Hongwei, et al.
Published: (2024)
by: Zheng, Hongwei, et al.
Published: (2024)
QuantTune: Optimizing Model Quantization with Adaptive Outlier-Driven Fine Tuning
by: Chen, Jiun-Man, et al.
Published: (2024)
by: Chen, Jiun-Man, et al.
Published: (2024)
Expert Pyramid Tuning: Efficient Parameter Fine-Tuning for Expertise-Driven Task Allocation
by: Zhang, Jia-Chen, et al.
Published: (2026)
by: Zhang, Jia-Chen, et al.
Published: (2026)
On the Topological Foundation of Learning and Memory
by: Li, Xin
Published: (2011)
by: Li, Xin
Published: (2011)
Fine-tune Smarter, Not Harder: Parameter-Efficient Fine-Tuning for Geospatial Foundation Models
by: Marti-Escofet, Francesc, et al.
Published: (2025)
by: Marti-Escofet, Francesc, et al.
Published: (2025)
Mining Attribute Subspaces for Efficient Fine-tuning of 3D Foundation Models
by: Jiang, Yu, et al.
Published: (2026)
by: Jiang, Yu, et al.
Published: (2026)
ShapeMamba-EM: Fine-Tuning Foundation Model with Local Shape Descriptors and Mamba Blocks for 3D EM Image Segmentation
by: Shi, Ruohua, et al.
Published: (2024)
by: Shi, Ruohua, et al.
Published: (2024)
Unleashing the Power of Vision-Language Models for Long-Tailed Multi-Label Visual Recognition
by: Tang, Wei, et al.
Published: (2025)
by: Tang, Wei, et al.
Published: (2025)
Contrast-Aware Calibration for Fine-Tuned CLIP: Leveraging Image-Text Alignment
by: Lv, Song-Lin, et al.
Published: (2025)
by: Lv, Song-Lin, et al.
Published: (2025)
Rethinking Bottlenecks in Safety Fine-Tuning of Vision Language Models
by: Ding, Yi, et al.
Published: (2025)
by: Ding, Yi, et al.
Published: (2025)
Detecting Dataset Abuse in Fine-Tuning Stable Diffusion Models for Text-to-Image Synthesis
by: Wang, Songrui, et al.
Published: (2024)
by: Wang, Songrui, et al.
Published: (2024)
Mixture of Balanced Information Bottlenecks for Long-Tailed Visual Recognition
by: Lan, Yifan, et al.
Published: (2025)
by: Lan, Yifan, et al.
Published: (2025)
Exploring Parameter-Efficient Fine-Tuning to Enable Foundation Models in Federated Learning
by: Sun, Guangyu, et al.
Published: (2022)
by: Sun, Guangyu, et al.
Published: (2022)
Dual-Margin Embedding for Fine-Grained Long-Tailed Plant Taxonomy
by: Low, Cheng Yaw, et al.
Published: (2025)
by: Low, Cheng Yaw, et al.
Published: (2025)
Domain-Aware Fine-Tuning of Foundation Models
by: Kaplan, Ugur Ali, et al.
Published: (2024)
by: Kaplan, Ugur Ali, et al.
Published: (2024)
MICACL: Multi-Instance Category-Aware Contrastive Learning for Long-Tailed Dynamic Facial Expression Recognition
by: Cui, Feng-Qi, et al.
Published: (2025)
by: Cui, Feng-Qi, et al.
Published: (2025)
Cluster-Aware Prompt Ensemble Learning for Few-Shot Vision-Language Model Adaptation
by: Chen, Zhi, et al.
Published: (2025)
by: Chen, Zhi, et al.
Published: (2025)
Sparsity Hurts: Simple Linear Adapter Can Boost Generalized Category Discovery
by: Ye, Bo, et al.
Published: (2026)
by: Ye, Bo, et al.
Published: (2026)
Distilling Monocular Foundation Model for Fine-grained Depth Completion
by: Liang, Yingping, et al.
Published: (2025)
by: Liang, Yingping, et al.
Published: (2025)
Generalized Category Discovery under the Long-Tailed Distribution
by: Zhao, Bingchen, et al.
Published: (2025)
by: Zhao, Bingchen, et al.
Published: (2025)
Post-Hurricane Debris Segmentation Using Fine-Tuned Foundational Vision Models
by: Amini, Kooshan, et al.
Published: (2025)
by: Amini, Kooshan, et al.
Published: (2025)
Similar Items
-
LIFT+: Lightweight Fine-Tuning for Long-Tail Learning
by: Shi, Jiang-Xin, et al.
Published: (2025) -
Efficient and Long-Tailed Generalization for Pre-trained Vision-Language Model
by: Shi, Jiang-Xin, et al.
Published: (2024) -
ULFine: Unbiased Lightweight Fine-tuning for Foundation-Model-Assisted Long-Tailed Semi-Supervised Learning
by: Zhang, Enhao, et al.
Published: (2025) -
Adaptive Adapter Routing for Long-Tailed Class-Incremental Learning
by: Qi, Zhi-Hong, et al.
Published: (2024) -
Fine-Tuning Impairs the Balancedness of Foundation Models in Long-tailed Personalized Federated Learning
by: Hou, Shihao, et al.
Published: (2026)