Evaluating Data Influence in Meta Learning
Fuente:
arXiv
Saved in:
| Main Authors: | Ren, Chenyang, Xie, Huanyi, Yang, Shu, Ding, Meng, Hu, Lijie, Wang, Di |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Dissecting Representation Misalignment in Contrastive Learning via Influence Function
by: Hu, Lijie, et al.
Published: (2024)
by: Hu, Lijie, et al.
Published: (2024)
Attributing Data for Sharpness-Aware Minimization
by: Ren, Chenyang, et al.
Published: (2025)
by: Ren, Chenyang, et al.
Published: (2025)
Semi-supervised Concept Bottleneck Models
by: Hu, Lijie, et al.
Published: (2024)
by: Hu, Lijie, et al.
Published: (2024)
Editable Concept Bottleneck Models
by: Hu, Lijie, et al.
Published: (2024)
by: Hu, Lijie, et al.
Published: (2024)
Learning to Learn from APIs: Black-Box Data-Free Meta-Learning
by: Hu, Zixuan, et al.
Published: (2023)
by: Hu, Zixuan, et al.
Published: (2023)
Architecture, Dataset and Model-Scale Agnostic Data-free Meta-Learning
by: Hu, Zixuan, et al.
Published: (2023)
by: Hu, Zixuan, et al.
Published: (2023)
Improving Interpretation Faithfulness for Vision Transformers
by: Hu, Lijie, et al.
Published: (2023)
by: Hu, Lijie, et al.
Published: (2023)
MetaFormer Baselines for Vision
by: Yu, Weihao, et al.
Published: (2022)
by: Yu, Weihao, et al.
Published: (2022)
Visual Self-Fulfilling Alignment: Shaping Safety-Oriented Personas via Threat-Related Images
by: Yang, Qishun, et al.
Published: (2026)
by: Yang, Qishun, et al.
Published: (2026)
Towards Multi-dimensional Explanation Alignment for Medical Classification
by: Hu, Lijie, et al.
Published: (2024)
by: Hu, Lijie, et al.
Published: (2024)
TVE: Learning Meta-attribution for Transferable Vision Explainer
by: Wang, Guanchu, et al.
Published: (2023)
by: Wang, Guanchu, et al.
Published: (2023)
Fair Text-to-Image Diffusion via Fair Mapping
by: Li, Jia, et al.
Published: (2023)
by: Li, Jia, et al.
Published: (2023)
On the Difficulty of Learning a Meta-network for Training Data Selection
by: Du, Zilin, et al.
Published: (2026)
by: Du, Zilin, et al.
Published: (2026)
Pre-Training Meta-Rule Selection Policy for Visual Generative Abductive Learning
by: Jin, Yu, et al.
Published: (2025)
by: Jin, Yu, et al.
Published: (2025)
Gradient Leakage Defense with Key-Lock Module for Federated Learning
by: Ren, Hanchi, et al.
Published: (2023)
by: Ren, Hanchi, et al.
Published: (2023)
Meta Pruning via Graph Metanetworks : A Universal Meta Learning Framework for Network Pruning
by: Liu, Yewei, et al.
Published: (2025)
by: Liu, Yewei, et al.
Published: (2025)
Exploring the Efficacy of Meta-Learning: Unveiling Superior Data Diversity Utilization of MAML Over Pre-training
by: Selva, Kavita, et al.
Published: (2025)
by: Selva, Kavita, et al.
Published: (2025)
Revisiting Data Augmentation in Deep Reinforcement Learning
by: Hu, Jianshu, et al.
Published: (2024)
by: Hu, Jianshu, et al.
Published: (2024)
Cooperative Meta-Learning with Gradient Augmentation
by: Shin, Jongyun, et al.
Published: (2024)
by: Shin, Jongyun, et al.
Published: (2024)
FM-LoRA: Factorized Low-Rank Meta-Prompting for Continual Learning
by: Yu, Xiaobing, et al.
Published: (2025)
by: Yu, Xiaobing, et al.
Published: (2025)
FissionVAE: Federated Non-IID Image Generation with Latent Space and Decoder Decomposition
by: Hu, Chen, et al.
Published: (2024)
by: Hu, Chen, et al.
Published: (2024)
Transformer-Based Contrastive Meta-Learning For Low-Resource Generalizable Activity Recognition
by: Wang, Junyao, et al.
Published: (2024)
by: Wang, Junyao, et al.
Published: (2024)
MMPareto: Boosting Multimodal Learning with Innocent Unimodal Assistance
by: Wei, Yake, et al.
Published: (2024)
by: Wei, Yake, et al.
Published: (2024)
SDM: A Powerful Tool for Evaluating Model Robustness
by: Liu, Xinlei, et al.
Published: (2026)
by: Liu, Xinlei, et al.
Published: (2026)
Learning without Isolation: Pathway Protection for Continual Learning
by: Chen, Zhikang, et al.
Published: (2025)
by: Chen, Zhikang, et al.
Published: (2025)
NoiseRater: Meta-Learned Noise Valuation for Diffusion Model Training
by: Wu, Fang, et al.
Published: (2026)
by: Wu, Fang, et al.
Published: (2026)
DMin: Scalable Training Data Influence Estimation for Diffusion Models
by: Lin, Huawei, et al.
Published: (2024)
by: Lin, Huawei, et al.
Published: (2024)
EdiVal-Agent: An Object-Centric Framework for Automated, Fine-Grained Evaluation of Multi-Turn Editing
by: Chen, Tianyu, et al.
Published: (2025)
by: Chen, Tianyu, et al.
Published: (2025)
Reasoning-Enhanced Object-Centric Learning for Videos
by: Li, Jian, et al.
Published: (2024)
by: Li, Jian, et al.
Published: (2024)
Recall-Oriented Continual Learning with Generative Adversarial Meta-Model
by: Kang, Haneol, et al.
Published: (2024)
by: Kang, Haneol, et al.
Published: (2024)
FAR: Function-preserving Attention Replacement for IMC-friendly Inference
by: Ren, Yuxin, et al.
Published: (2025)
by: Ren, Yuxin, et al.
Published: (2025)
Learning Time in Static Classifiers
by: Ding, Xi, et al.
Published: (2025)
by: Ding, Xi, et al.
Published: (2025)
Do Generated Data Always Help Contrastive Learning?
by: Wang, Yifei, et al.
Published: (2024)
by: Wang, Yifei, et al.
Published: (2024)
Den-TP: A Density-Balanced Data Curation and Evaluation Framework for Trajectory Prediction
by: Yang, Ruining, et al.
Published: (2024)
by: Yang, Ruining, et al.
Published: (2024)
LINA: Learning INterventions Adaptively for Physical Alignment and Generalization in Diffusion Models
by: Yu, Shu, et al.
Published: (2025)
by: Yu, Shu, et al.
Published: (2025)
Subspace Kernel Learning on Tensor Sequences
by: Wang, Lei, et al.
Published: (2026)
by: Wang, Lei, et al.
Published: (2026)
Toward General-Purpose Robots via Foundation Models: A Survey and Meta-Analysis
by: Hu, Yafei, et al.
Published: (2023)
by: Hu, Yafei, et al.
Published: (2023)
Data-Juicer Sandbox: A Feedback-Driven Suite for Multimodal Data-Model Co-development
by: Chen, Daoyuan, et al.
Published: (2024)
by: Chen, Daoyuan, et al.
Published: (2024)
Learning Part Knowledge to Facilitate Category Understanding for Fine-Grained Generalized Category Discovery
by: Wang, Enguang, et al.
Published: (2025)
by: Wang, Enguang, et al.
Published: (2025)
SG-OIF: A Stability-Guided Online Influence Framework for Reliable Vision Data
by: Rao, Penghao, et al.
Published: (2025)
by: Rao, Penghao, et al.
Published: (2025)
Similar Items
-
Dissecting Representation Misalignment in Contrastive Learning via Influence Function
by: Hu, Lijie, et al.
Published: (2024) -
Attributing Data for Sharpness-Aware Minimization
by: Ren, Chenyang, et al.
Published: (2025) -
Semi-supervised Concept Bottleneck Models
by: Hu, Lijie, et al.
Published: (2024) -
Editable Concept Bottleneck Models
by: Hu, Lijie, et al.
Published: (2024) -
Learning to Learn from APIs: Black-Box Data-Free Meta-Learning
by: Hu, Zixuan, et al.
Published: (2023)