Cover Image

A Foundational Multi-Modal Model for Few-Shot Learning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Dang, Pengtao, Guo, Tingbo, Cao, Sha, Zhang, Chi
Format:	Preprint
Published:	2025
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Physics Informed Constrained Learning of Dynamics from Static Data
by: Dang, Pengtao, et al.
Published: (2025)

Few-Shot Continual Learning for 3D Brain MRI with Frozen Foundation Models
by: Chen, Chi-Sheng, et al.
Published: (2026)

DreamPRM-1.5: Unlocking the Potential of Each Instance for Multimodal Process Reward Model Training
by: Cao, Qi, et al.
Published: (2025)

Cross-Domain Few-Shot Learning for Hyperspectral Image Classification Based on Mixup Foundation Model
by: Paeedeh, Naeem, et al.
Published: (2026)

Group Preference Optimization: Few-Shot Alignment of Large Language Models
by: Zhao, Siyan, et al.
Published: (2023)

XTransfer: Modality-Agnostic Few-Shot Model Transfer for Human Sensing at the Edge
by: Zhang, Yu, et al.
Published: (2025)

ATLAS: Agentic Test-time Learning-to-Allocate Scaling
by: Qin, Peijia, et al.
Published: (2026)

Cross-Modal Few-Shot Learning: a Generative Transfer Learning Framework
by: Yang, Zhengwei, et al.
Published: (2024)

Accelerating Convergence in Bayesian Few-Shot Classification
by: Ke, Tianjun, et al.
Published: (2024)

Few-Shot Inspired Generative Zero-Shot Learning
by: Shohag, Md Shakil Ahamed, et al.
Published: (2025)

Multi-Operator Few-Shot Learning for Generalization Across PDE Families
by: Li, Yile, et al.
Published: (2025)

Quantum Diffusion Models for Few-Shot Learning
by: Wang, Ruhan, et al.
Published: (2024)

Revisiting Logistic-softmax Likelihood in Bayesian Meta-Learning for Few-Shot Classification
by: Ke, Tianjun, et al.
Published: (2023)

Towards Few-Shot Adaptation of Foundation Models via Multitask Finetuning
by: Xu, Zhuoyan, et al.
Published: (2024)

Bayesian Cross-Modal Alignment Learning for Few-Shot Out-of-Distribution Generalization
by: Zhu, Lin, et al.
Published: (2025)

Prompt-Tuning Bandits: Enabling Few-Shot Generalization for Efficient Multi-Task Offline RL
by: Rietz, Finn, et al.
Published: (2025)

MetaDiff: Meta-Learning with Conditional Diffusion for Few-Shot Learning
by: Zhang, Baoquan, et al.
Published: (2023)

MCLRL: A Multi-Domain Contrastive Learning with Reinforcement Learning Framework for Few-Shot Modulation Recognition
by: Xu, Dongwei, et al.
Published: (2025)

Cough Classification using Few-Shot Learning
by: Kumar, Yoga Disha Sendhil, et al.
Published: (2025)

Electrocardiogram-Language Model for Few-Shot Question Answering with Meta Learning
by: Tang, Jialu, et al.
Published: (2024)

Enhancing Few-Shot Learning with Integrated Data and GAN Model Approaches
by: Feng, Yinqiu, et al.
Published: (2024)

Towards Few-Shot Learning in the Open World: A Review and Beyond
by: Xue, Hui, et al.
Published: (2024)

Navigating Data Scarcity using Foundation Models: A Benchmark of Few-Shot and Zero-Shot Learning Approaches in Medical Imaging
by: Woerner, Stefano, et al.
Published: (2024)

Multimodality Helps Unimodality: Cross-Modal Few-Shot Learning with Multimodal Models
by: Lin, Zhiqiu, et al.
Published: (2023)

A Survey on Mechanistic Interpretability for Multi-Modal Foundation Models
by: Lin, Zihao, et al.
Published: (2025)

LLM Empowered Prototype Learning for Zero and Few-Shot Tasks on Tabular Data
by: Wang, Peng, et al.
Published: (2025)

Unlocking Compositional Generalization in Continual Few-Shot Learning
by: Nguyen-Lam, Phu-Quy, et al.
Published: (2026)

Few-Shot Class Incremental Learning via Robust Transformer Approach
by: Paeedeh, Naeem, et al.
Published: (2024)

Cross-Domain Few-Shot Learning via Adaptive Transformer Networks
by: Paeedeh, Naeem, et al.
Published: (2024)

Leveraging Large Language Models for Node Generation in Few-Shot Learning on Text-Attributed Graphs
by: Yu, Jianxiang, et al.
Published: (2023)

A Multi-Modal Foundational Model for Wireless Communication and Sensing
by: Yazdnian, Vahid, et al.
Published: (2026)

Cross-Modal Augmentation for Few-Shot Multimodal Fake News Detection
by: Jiang, Ye, et al.
Published: (2024)

Few-Shot Class-Incremental Learning with Prior Knowledge
by: Jiang, Wenhao, et al.
Published: (2024)

ALF: Advertiser Large Foundation Model for Multi-Modal Advertiser Understanding
by: Rajagopalan, Santosh, et al.
Published: (2025)

OneProt: Towards Multi-Modal Protein Foundation Models
by: Flöge, Klemens, et al.
Published: (2024)

A Strong Baseline for Molecular Few-Shot Learning
by: Formont, Philippe, et al.
Published: (2024)

Curia: A Multi-Modal Foundation Model for Radiology
by: Dancette, Corentin, et al.
Published: (2025)

Leveraging Foundation Models for Multi-modal Federated Learning with Incomplete Modality
by: Che, Liwei, et al.
Published: (2024)

Few-Shot Task Learning through Inverse Generative Modeling
by: Netanyahu, Aviv, et al.
Published: (2024)

DAJ: Data-Reweighted LLM Judge for Test-Time Scaling in Code Generation
by: Qin, Peijia, et al.
Published: (2026)