Cover Image

Few-Shot Inspired Generative Zero-Shot Learning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Shohag, Md Shakil Ahamed, Wu, Q. M. Jonathan, Pourpanah, Farhad
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

One-Shot Federated Unsupervised Domain Adaptation with Scaled Entropy Attention and Multi-Source Smoothed Pseudo Labeling
by: Abedi, Ali, et al.
Published: (2025)

Methods for Class-Imbalanced Learning with Support Vector Machines: A Review and an Empirical Evaluation
by: Rezvani, Salim, et al.
Published: (2024)

A Survey on Deep Multi-Task Learning in Connected Autonomous Vehicles
by: Wang, Jiayuan, et al.
Published: (2025)

EUDA: An Efficient Unsupervised Domain Adaptation via Self-Supervised Vision Transformer
by: Abedi, Ali, et al.
Published: (2024)

A Survey on Generative Modeling with Limited Data, Few Shots, and Zero Shot
by: Abdollahzadeh, Milad, et al.
Published: (2023)

From Few-Shot to Zero-Shot: Towards Generalist Graph Anomaly Detection
by: Liu, Yixin, et al.
Published: (2026)

Optimization-Inspired Few-Shot Adaptation for Large Language Models
by: Gao, Boyan, et al.
Published: (2025)

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

Zero-Shot Reinforcement Learning Under Partial Observability
by: Jeen, Scott, et al.
Published: (2025)

Federated Domain Generalization with Label Smoothing and Balanced Decentralized Training
by: Soltany, Milad, et al.
Published: (2024)

Improving Audio Classification by Transitioning from Zero- to Few-Shot
by: Taylor, James, et al.
Published: (2025)

Zero-Shot Context Generalization in Reinforcement Learning from Few Training Contexts
by: Chapman, James, et al.
Published: (2025)

Federated Unsupervised Domain Generalization using Global and Local Alignment of Gradients
by: Pourpanah, Farhad, et al.
Published: (2024)

Zero-Shot Reinforcement Learning from Low Quality Data
by: Jeen, Scott, et al.
Published: (2023)

Compositional Program Generation for Few-Shot Systematic Generalization
by: Klinger, Tim, et al.
Published: (2023)

Zero-Shot Robustification of Zero-Shot Models
by: Adila, Dyah, et al.
Published: (2023)

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

Explore to Generalize in Zero-Shot RL
by: Zisselman, Ev, et al.
Published: (2023)

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

Prompt-Based Bias Calibration for Better Zero/Few-Shot Learning of Language Models
by: He, Kang, et al.
Published: (2024)

On Zero-Shot Reinforcement Learning
by: Jeen, Scott
Published: (2025)

Learning to Route Among Specialized Experts for Zero-Shot Generalization
by: Muqeeth, Mohammed, et al.
Published: (2024)

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

Meta-Semantics Augmented Few-Shot Relational Learning
by: Wu, Han, et al.
Published: (2025)

Flow-Enabled Generalization to Human Demonstrations in Few-Shot Imitation Learning
by: Tang, Runze, et al.
Published: (2026)

Provable Zero-Shot Generalization in Offline Reinforcement Learning
by: Wang, Zhiyong, et al.
Published: (2025)

A Generalization Theory for Zero-Shot Prediction
by: Mehta, Ronak, et al.
Published: (2025)

Spatio-Temporal Few-Shot Learning via Diffusive Neural Network Generation
by: Yuan, Yuan, et al.
Published: (2024)

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

Evolutionary Generalized Zero-Shot Learning
by: Chen, Dubing, et al.
Published: (2022)

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

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

Few-Shot Learning with Class Imbalance
by: Ochal, Mateusz, et al.
Published: (2021)

Aspect-Based Few-Shot Learning
by: van Engeland, Tim, et al.
Published: (2024)

MoEMeta: Mixture-of-Experts Meta Learning for Few-Shot Relational Learning
by: Wu, Han, et al.
Published: (2025)

Zero-Shot Learning for Obsolescence Risk Forecasting
by: Saad, Elie, et al.
Published: (2025)

FusionGen: Feature Fusion-Based Few-Shot EEG Data Generation
by: Chen, Yuheng, et al.
Published: (2025)

Privacy-Preserving In-Context Learning with Differentially Private Few-Shot Generation
by: Tang, Xinyu, et al.
Published: (2023)

Verbalized Representation Learning for Interpretable Few-Shot Generalization
by: Yang, Cheng-Fu, et al.
Published: (2024)

Zero-Shot Off-Policy Learning
by: Asadulaev, Arip, et al.
Published: (2026)