Geometry-Aware Contrastive Learning for Few-Shot Automatic Modulation Recognition
Fuente:
arXiv
Saved in:
| Main Authors: | Zhao, Guanqun, Liu, Yitong, Fang, Jiaxuan, Mao, Yufei, Yang, Hongwen |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Context-Aware Adapter Tuning for Few-Shot Relation Learning in Knowledge Graphs
by: Liu, Ran, et al.
Published: (2024)
by: Liu, Ran, 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)
by: Renganathan, Arvind, et al.
Published: (2023)
BANER: Boundary-Aware LLMs for Few-Shot Named Entity Recognition
by: Guo, Quanjiang, et al.
Published: (2024)
by: Guo, Quanjiang, et al.
Published: (2024)
An Efficient Memory Module for Graph Few-Shot Class-Incremental Learning
by: Li, Dong, et al.
Published: (2024)
by: Li, Dong, et al.
Published: (2024)
Bridging Generalization and Personalization in Human Activity Recognition via On-Device Few-Shot Learning
by: Kang, Pixi, et al.
Published: (2025)
by: Kang, Pixi, et al.
Published: (2025)
Automatic Combination of Sample Selection Strategies for Few-Shot Learning
by: Pecher, Branislav, et al.
Published: (2024)
by: Pecher, Branislav, et al.
Published: (2024)
Few-Shot Class-Incremental Learning with Non-IID Decentralized Data
by: Liu, Cuiwei, et al.
Published: (2024)
by: Liu, Cuiwei, et al.
Published: (2024)
Quantum Diffusion Models for Few-Shot Learning
by: Wang, Ruhan, et al.
Published: (2024)
by: Wang, Ruhan, et al.
Published: (2024)
NTK-Guided Few-Shot Class Incremental Learning
by: Liu, Jingren, et al.
Published: (2024)
by: Liu, Jingren, et al.
Published: (2024)
Few-Shot Class-Incremental Learning with Prior Knowledge
by: Jiang, Wenhao, et al.
Published: (2024)
by: Jiang, Wenhao, et al.
Published: (2024)
A New Spatiotemporal Correlation Anomaly Detection Method that Integrates Contrastive Learning and Few-Shot Learning in Wireless Sensor Networks
by: Ye, Miao, et al.
Published: (2025)
by: Ye, Miao, et al.
Published: (2025)
MDM: Advancing Multi-Domain Distribution Matching for Automatic Modulation Recognition Dataset Synthesis
by: Xu, Dongwei, et al.
Published: (2024)
by: Xu, Dongwei, et al.
Published: (2024)
ICPL: Few-shot In-context Preference Learning via LLMs
by: Yu, Chao, et al.
Published: (2024)
by: Yu, Chao, et al.
Published: (2024)
An experimental approach on Few Shot Class Incremental Learning
by: Adam, Marinela
Published: (2025)
by: Adam, Marinela
Published: (2025)
A Strong Baseline for Molecular Few-Shot Learning
by: Formont, Philippe, et al.
Published: (2024)
by: Formont, Philippe, et al.
Published: (2024)
Advancing Few-Shot Pediatric Arrhythmia Classification with a Novel Contrastive Loss and Multimodal Learning
by: Chen, Yiqiao, et al.
Published: (2025)
by: Chen, Yiqiao, et al.
Published: (2025)
DUSE: A Data Expansion Framework for Low-resource Automatic Modulation Recognition based on Active Learning
by: Lu, Yao, et al.
Published: (2025)
by: Lu, Yao, et al.
Published: (2025)
Few-Shot Causal Representation Learning for Out-of-Distribution Generalization on Heterogeneous Graphs
by: Ding, Pengfei, et al.
Published: (2024)
by: Ding, Pengfei, et al.
Published: (2024)
Fast Graph Sharpness-Aware Minimization for Enhancing and Accelerating Few-Shot Node Classification
by: Luo, Yihong, et al.
Published: (2024)
by: Luo, Yihong, et al.
Published: (2024)
Language-Guided Reinforcement Learning for Hard Attention in Few-Shot Learning
by: Nikpour, Bahareh, et al.
Published: (2023)
by: Nikpour, Bahareh, et al.
Published: (2023)
Revisiting Few-Shot Learning from a Causal Perspective
by: Lin, Guoliang, et al.
Published: (2022)
by: Lin, Guoliang, et al.
Published: (2022)
A Survey of Few-Shot Learning for Biomedical Time Series
by: Li, Chenqi, et al.
Published: (2024)
by: Li, Chenqi, et al.
Published: (2024)
FAF: A Feature-Adaptive Framework for Few-Shot Time Series Forecasting
by: Ouyang, Pengpeng, et al.
Published: (2025)
by: Ouyang, Pengpeng, et al.
Published: (2025)
Is Meta-Learning Out? Rethinking Unsupervised Few-Shot Classification with Limited Entropy
by: Guan, Yunchuan, et al.
Published: (2025)
by: Guan, Yunchuan, et al.
Published: (2025)
MC-RFM: Geometry-Aware Few-Shot Adaptation via Mixed-Curvature Riemannian Flow Matching
by: Khazem, Salim, et al.
Published: (2026)
by: Khazem, Salim, et al.
Published: (2026)
Few-Shot Class Incremental Learning with Attention-Aware Self-Adaptive Prompt
by: Liu, Chenxi, et al.
Published: (2024)
by: Liu, Chenxi, et al.
Published: (2024)
Entropy-Aware Structural Alignment for Zero-Shot Handwritten Chinese Character Recognition
by: Luo, Qiuming, et al.
Published: (2026)
by: Luo, Qiuming, et al.
Published: (2026)
FCOS: A Two-Stage Recoverable Model Pruning Framework for Automatic Modulation Recognition
by: Lu, Yao, et al.
Published: (2025)
by: Lu, Yao, et al.
Published: (2025)
MoEMeta: Mixture-of-Experts Meta Learning for Few-Shot Relational Learning
by: Wu, Han, et al.
Published: (2025)
by: Wu, Han, et al.
Published: (2025)
FaultDiffusion: Few-Shot Fault Time Series Generation with Diffusion Model
by: Xu, Yi, et al.
Published: (2025)
by: Xu, Yi, et al.
Published: (2025)
Active Few-Shot Fine-Tuning
by: Hübotter, Jonas, et al.
Published: (2024)
by: Hübotter, Jonas, et al.
Published: (2024)
Few-Shot Recognition via Stage-Wise Retrieval-Augmented Finetuning
by: Liu, Tian, et al.
Published: (2024)
by: Liu, Tian, et al.
Published: (2024)
Few-Shot Radar Signal Recognition through Self-Supervised Learning and Radio Frequency Domain Adaptation
by: Huang, Zi, et al.
Published: (2025)
by: Huang, Zi, et al.
Published: (2025)
Cross-Domain Few-Shot Learning via Adaptive Transformer Networks
by: Paeedeh, Naeem, et al.
Published: (2024)
by: Paeedeh, Naeem, et al.
Published: (2024)
Meta-Learning Based Few-Shot Graph-Level Anomaly Detection
by: Li, Liting, et al.
Published: (2025)
by: Li, Liting, et al.
Published: (2025)
Few-Shot Class Incremental Learning via Robust Transformer Approach
by: Paeedeh, Naeem, et al.
Published: (2024)
by: Paeedeh, Naeem, et al.
Published: (2024)
Evaluation of Few-Shot Learning Methods for Kidney Stone Type Recognition in Ureteroscopy
by: Salazar-Ruiz, Carlos, et al.
Published: (2025)
by: Salazar-Ruiz, Carlos, et al.
Published: (2025)
Boosting Meta-Learning for Few-Shot Text Classification via Label-guided Distance Scaling
by: Gao, Yunlong, et al.
Published: (2026)
by: Gao, Yunlong, et al.
Published: (2026)
Meta-Task: A Method-Agnostic Framework for Learning to Regularize in Few-Shot Learning
by: Rostami, Mohammad, et al.
Published: (2024)
by: Rostami, Mohammad, et al.
Published: (2024)
\emph{FoQuS}: A Forgetting-Quality Coreset Selection Framework for Automatic Modulation Recognition
by: Lu, Yao, et al.
Published: (2025)
by: Lu, Yao, et al.
Published: (2025)
Similar Items
-
Context-Aware Adapter Tuning for Few-Shot Relation Learning in Knowledge Graphs
by: Liu, Ran, 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) -
BANER: Boundary-Aware LLMs for Few-Shot Named Entity Recognition
by: Guo, Quanjiang, et al.
Published: (2024) -
An Efficient Memory Module for Graph Few-Shot Class-Incremental Learning
by: Li, Dong, et al.
Published: (2024) -
Bridging Generalization and Personalization in Human Activity Recognition via On-Device Few-Shot Learning
by: Kang, Pixi, et al.
Published: (2025)