:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Author:	Zhang, Tao
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Artificial Intelligence
Online Access:	https://arxiv.org/abs/2402.00092
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Neural Force Field: Few-shot Learning of Generalized Physical Reasoning
by: Li, Shiqian, et al.
Published: (2025)

Training-free LLM Verification via Recycling Few-shot Examples
by: Lee, Dongseok, et al.
Published: (2025)

ICPL: Few-shot In-context Preference Learning via LLMs
by: Yu, Chao, et al.
Published: (2024)

Few-shot Class-incremental Learning for Classification and Object Detection: A Survey
by: Zhang, Jinghua, et al.
Published: (2023)

Towards Few-shot Self-explaining Graph Neural Networks
by: Peng, Jingyu, et al.
Published: (2024)

An Enhanced Privacy-preserving Federated Few-shot Learning Framework for Respiratory Disease Diagnosis
by: Wang, Ming, et al.
Published: (2025)

Improving Graph Few-shot Learning with Hyperbolic Space and Denoising Diffusion
by: Liu, Yonghao, et al.
Published: (2026)

Self-cross Feature based Spiking Neural Networks for Efficient Few-shot Learning
by: Xu, Qi, et al.
Published: (2025)

A Zero-shot and Few-shot Study of Instruction-Finetuned Large Language Models Applied to Clinical and Biomedical Tasks
by: Labrak, Yanis, et al.
Published: (2023)

Knowledge-enhanced Relation Graph and Task Sampling for Few-shot Molecular Property Prediction
by: Wang, Zeyu, et al.
Published: (2024)

Anomaly Multi-classification in Industrial Scenarios: Transferring Few-shot Learning to a New Task
by: Liu, Jie, et al.
Published: (2024)

Revisiting Chain-of-Thought Prompting: Zero-shot Can Be Stronger than Few-shot
by: Cheng, Xiang, et al.
Published: (2025)

Episodic Reinforcement Learning with Expanded State-reward Space
by: Liang, Dayang, et al.
Published: (2024)

Episodic Memory in Agentic Frameworks: Suggesting Next Tasks
by: Fiorini, Sandro Rama, et al.
Published: (2025)

Set-based Meta-Interpolation for Few-Task Meta-Learning
by: Lee, Seanie, et al.
Published: (2022)

See it, Think it, Sorted: Large Multimodal Models are Few-shot Time Series Anomaly Analyzers
by: Zhuang, Jiaxin, et al.
Published: (2024)

Large Language Models are Few-shot Multivariate Time Series Classifiers
by: Chen, Yakun, et al.
Published: (2025)

Dynamic User-controllable Privacy-preserving Few-shot Sensing Framework
by: Chathoth, Ajesh Koyatan, et al.
Published: (2025)

TransNet: Transfer Knowledge for Few-shot Knowledge Graph Completion
by: Liu, Lihui, et al.
Published: (2025)

Few-shot Quality-Diversity Optimization
by: Salehi, Achkan, et al.
Published: (2021)

Assessing Episodic Memory in LLMs with Sequence Order Recall Tasks
by: Pink, Mathis, et al.
Published: (2024)

Hierarchical Local-Global Feature Learning for Few-shot Malicious Traffic Detection
by: Peng, Songtao, et al.
Published: (2025)

Frequency Enhanced Pre-training for Cross-city Few-shot Traffic Forecasting
by: Liu, Zhanyu, et al.
Published: (2024)

Few-shot Steerable Alignment: Adapting Rewards and LLM Policies with Neural Processes
by: Kobalczyk, Katarzyna, et al.
Published: (2024)

AnomalyGFM: Graph Foundation Model for Zero/Few-shot Anomaly Detection
by: Qiao, Hezhe, et al.
Published: (2025)

GEM: Generative Entropy-Guided Preference Modeling for Few-shot Alignment of LLMs
by: Zhao, Yiyang, et al.
Published: (2025)

GFRIEND: Generative Few-shot Reward Inference through EfficieNt DPO
by: Zhao, Yiyang, et al.
Published: (2025)

Meta-Task: A Method-Agnostic Framework for Learning to Regularize in Few-Shot Learning
by: Rostami, Mohammad, et al.
Published: (2024)

Few-shot Personalization of LLMs with Mis-aligned Responses
by: Kim, Jaehyung, et al.
Published: (2024)

Few-shot Link Prediction on N-ary Facts
by: Wei, Jiyao, et al.
Published: (2023)

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

SARF: Aliasing Relation Assisted Self-Supervised Learning for Few-shot Relation Reasoning
by: Meng, Lingyuan, et al.
Published: (2023)

Episodic Novelty Through Temporal Distance
by: Jiang, Yuhua, et al.
Published: (2025)

Multi-scale Traffic Pattern Bank for Cross-city Few-shot Traffic Forecasting
by: Liu, Zhanyu, et al.
Published: (2024)

Task Aware Modulation using Representation Learning: An Approach for Few Shot Learning in Environmental Systems
by: Renganathan, Arvind, et al.
Published: (2023)

Echo: A Large Language Model with Temporal Episodic Memory
by: Liu, WenTao, et al.
Published: (2025)

Opening the Black Box: An Explainable, Few-shot AI4E Framework Informed by Physics and Expert Knowledge for Materials Engineering
by: Zhang, Haoxiang, et al.
Published: (2025)

DARA: Few-shot Budget Allocation in Online Advertising via In-Context Decision Making with RL-Finetuned LLMs
by: Song, Mingxuan, et al.
Published: (2026)

Few-shot Cross-country Generalization of Tabular Machine Learning and Foundation Models for Childhood Anemia Prediction under Distribution Shift
by: Brima, Yusuf, et al.
Published: (2026)

ALPET: Active Few-shot Learning for Citation Worthiness Detection in Low-Resource Wikipedia Languages
by: Halitaj, Aida, et al.
Published: (2025)