Unleashing the Power of Meta-tuning for Few-shot Generalization Through Sparse Interpolated Experts
Fuente:
arXiv
Saved in:
| Main Authors: | Chen, Shengzhuang, Tack, Jihoon, Yang, Yunqiao, Teh, Yee Whye, Schwarz, Jonathan Richard, Wei, Ying |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Automatic Expert Discovery in LLM Upcycling via Sparse Interpolated Mixture-of-Experts
by: Chen, Shengzhuang, et al.
Published: (2025)
by: Chen, Shengzhuang, et al.
Published: (2025)
Online Adaptation of Language Models with a Memory of Amortized Contexts
by: Tack, Jihoon, et al.
Published: (2024)
by: Tack, Jihoon, et al.
Published: (2024)
Learning Where to Edit Vision Transformers
by: Yang, Yunqiao, et al.
Published: (2024)
by: Yang, Yunqiao, et al.
Published: (2024)
Learning to Contextualize Web Pages for Enhanced Decision Making by LLM Agents
by: Lee, Dongjun, et al.
Published: (2025)
by: Lee, Dongjun, et al.
Published: (2025)
Unleashing the Potential of the Diffusion Model in Few-shot Semantic Segmentation
by: Zhu, Muzhi, et al.
Published: (2024)
by: Zhu, Muzhi, et al.
Published: (2024)
From Backward Spreading to Forward Replay: Revisiting Target Construction in LLM Parameter Editing
by: Liu, Wei, et al.
Published: (2026)
by: Liu, Wei, et al.
Published: (2026)
Unleashing In-context Learning of Autoregressive Models for Few-shot Image Manipulation
by: Lai, Bolin, et al.
Published: (2024)
by: Lai, Bolin, et al.
Published: (2024)
Variational Flow Maps: Make Some Noise for One-Step Conditional Generation
by: Mammadov, Abbas, et al.
Published: (2026)
by: Mammadov, Abbas, et al.
Published: (2026)
SeaS: Few-shot Industrial Anomaly Image Generation with Separation and Sharing Fine-tuning
by: Dai, Zhewei, et al.
Published: (2024)
by: Dai, Zhewei, et al.
Published: (2024)
MX-Font++: Mixture of Heterogeneous Aggregation Experts for Few-shot Font Generation
by: Wang, Weihang, et al.
Published: (2025)
by: Wang, Weihang, et al.
Published: (2025)
Meta-Adapter: An Online Few-shot Learner for Vision-Language Model
by: Cheng, Cheng, et al.
Published: (2023)
by: Cheng, Cheng, et al.
Published: (2023)
Manifold Induced Biases for Zero-shot and Few-shot Detection of Generated Images
by: Brokman, Jonathan, et al.
Published: (2025)
by: Brokman, Jonathan, et al.
Published: (2025)
SLCA++: Unleash the Power of Sequential Fine-tuning for Continual Learning with Pre-training
by: Zhang, Gengwei, et al.
Published: (2024)
by: Zhang, Gengwei, et al.
Published: (2024)
NoProp: Training Neural Networks without Full Back-propagation or Full Forward-propagation
by: Li, Qinyu, et al.
Published: (2025)
by: Li, Qinyu, et al.
Published: (2025)
Verifier-Backed Hard Problem Generation for Mathematical Reasoning
by: Lai, Yuhang, et al.
Published: (2026)
by: Lai, Yuhang, et al.
Published: (2026)
Sparse-vDiT: Unleashing the Power of Sparse Attention to Accelerate Video Diffusion Transformers
by: Chen, Pengtao, et al.
Published: (2025)
by: Chen, Pengtao, et al.
Published: (2025)
Meta-Learning Objectives for Preference Optimization
by: Alfano, Carlo, et al.
Published: (2024)
by: Alfano, Carlo, et al.
Published: (2024)
IFSENet : Harnessing Sparse Iterations for Interactive Few-shot Segmentation Excellence
by: Chandgothia, Shreyas, et al.
Published: (2024)
by: Chandgothia, Shreyas, et al.
Published: (2024)
PointRFT: Explicit Reinforcement Fine-tuning for Point Cloud Few-shot Learning
by: Wang, Yankai, et al.
Published: (2026)
by: Wang, Yankai, et al.
Published: (2026)
Few-shot Defect Image Generation based on Consistency Modeling
by: Shi, Qingfeng, et al.
Published: (2024)
by: Shi, Qingfeng, et al.
Published: (2024)
LinTree: Improving LLM Reasoning with Explicitly Structured Search Histories
by: Kang, Liwei, et al.
Published: (2026)
by: Kang, Liwei, et al.
Published: (2026)
Generic Objects as Pose Probes for Few-shot View Synthesis
by: Gao, Zhirui, et al.
Published: (2024)
by: Gao, Zhirui, et al.
Published: (2024)
Few-shot Implicit Function Generation via Equivariance
by: Huang, Suizhi, et al.
Published: (2025)
by: Huang, Suizhi, et al.
Published: (2025)
Stability Plasticity Decoupled Fine-tuning For Few-shot end-to-end Object Detection
by: Yin, Yuantao, et al.
Published: (2024)
by: Yin, Yuantao, et al.
Published: (2024)
Boosting Pathology Foundation Models via Few-shot Prompt-tuning for Rare Cancer Subtyping
by: He, Dexuan, et al.
Published: (2025)
by: He, Dexuan, et al.
Published: (2025)
Meta Flow Maps enable scalable reward alignment
by: Potaptchik, Peter, et al.
Published: (2026)
by: Potaptchik, Peter, et al.
Published: (2026)
Few-shot Online Anomaly Detection and Segmentation
by: Wei, Shenxing, et al.
Published: (2024)
by: Wei, Shenxing, et al.
Published: (2024)
E2MPL:An Enduring and Efficient Meta Prompt Learning Framework for Few-shot Unsupervised Domain Adaptation
by: Yang, Wanqi, et al.
Published: (2024)
by: Yang, Wanqi, et al.
Published: (2024)
CtlGAN: Few-shot Artistic Portraits Generation with Contrastive Transfer Learning
by: Wang, Yue, et al.
Published: (2022)
by: Wang, Yue, et al.
Published: (2022)
Reviving In-domain Fine-tuning Methods for Source-Free Cross-domain Few-shot Learning
by: Zhao, Yaze, et al.
Published: (2026)
by: Zhao, Yaze, et al.
Published: (2026)
Applying ViT in Generalized Few-shot Semantic Segmentation
by: Geng, Liyuan, et al.
Published: (2024)
by: Geng, Liyuan, et al.
Published: (2024)
Few-shot Image Generation via Masked Discrimination
by: Zhu, Jingyuan, et al.
Published: (2022)
by: Zhu, Jingyuan, et al.
Published: (2022)
The Edge-of-Reach Problem in Offline Model-Based Reinforcement Learning
by: Sims, Anya, et al.
Published: (2024)
by: Sims, Anya, et al.
Published: (2024)
L3Ms -- Lagrange Large Language Models
by: Dhillon, Guneet S., et al.
Published: (2024)
by: Dhillon, Guneet S., et al.
Published: (2024)
Incorporating Unlabelled Data into Bayesian Neural Networks
by: Sharma, Mrinank, et al.
Published: (2023)
by: Sharma, Mrinank, et al.
Published: (2023)
SymDiff: Equivariant Diffusion via Stochastic Symmetrisation
by: Zhang, Leo, et al.
Published: (2024)
by: Zhang, Leo, et al.
Published: (2024)
Scales++: Compute Efficient Evaluation Subset Selection with Cognitive Scales Embeddings
by: Bean, Andrew M., et al.
Published: (2025)
by: Bean, Andrew M., et al.
Published: (2025)
Few-shot Object Localization
by: Ren, Yunhan, et al.
Published: (2024)
by: Ren, Yunhan, et al.
Published: (2024)
Few-shot Algorithm Assurance
by: Nguyen, Dang, et al.
Published: (2024)
by: Nguyen, Dang, et al.
Published: (2024)
MorphAny3D: Unleashing the Power of Structured Latent in 3D Morphing
by: Sun, Xiaokun, et al.
Published: (2026)
by: Sun, Xiaokun, et al.
Published: (2026)
Similar Items
-
Automatic Expert Discovery in LLM Upcycling via Sparse Interpolated Mixture-of-Experts
by: Chen, Shengzhuang, et al.
Published: (2025) -
Online Adaptation of Language Models with a Memory of Amortized Contexts
by: Tack, Jihoon, et al.
Published: (2024) -
Learning Where to Edit Vision Transformers
by: Yang, Yunqiao, et al.
Published: (2024) -
Learning to Contextualize Web Pages for Enhanced Decision Making by LLM Agents
by: Lee, Dongjun, et al.
Published: (2025) -
Unleashing the Potential of the Diffusion Model in Few-shot Semantic Segmentation
by: Zhu, Muzhi, et al.
Published: (2024)