:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Reuss, Joana, Gikalo, Ekaterina, Körner, Marco
Format:	Preprint
Published:	2025
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2511.16218
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

DirPA: Addressing Prior Shift in Imbalanced Few-shot Crop-type Classification
by: Reuss, Joana, et al.
Published: (2026)

Benchmarking for Practice: Few-Shot Time-Series Crop-Type Classification on the EuroCropsML Dataset
by: Reuss, Joana, et al.
Published: (2025)

EuroCropsML: A Time Series Benchmark Dataset For Few-Shot Crop Type Classification
by: Reuss, Joana, et al.
Published: (2024)

XAI for Early Crop Classification
by: Chan, Ayshah, et al.
Published: (2023)

Object-Centric Cropping for Visual Few-Shot Classification
by: Abdali, Aymane, et al.
Published: (2025)

Invariant Features for Global Crop Type Classification
by: Tong, Xin-Yi, et al.
Published: (2025)

None To Optima in Few Shots: Bayesian Optimization with MDP Priors
by: Li, Diantong, et al.
Published: (2025)

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

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

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

Mind the GAP: Improving Robustness to Subpopulation Shifts with Group-Aware Priors
by: Rudner, Tim G. J., et al.
Published: (2024)

Metric Based Few-Shot Graph Classification
by: Crisostomi, Donato, et al.
Published: (2022)

Mind the Data Gap: Bridging LLMs to Enterprise Data Integration
by: Kayali, Moe, et al.
Published: (2024)

Federated Few-Shot Learning for Epileptic Seizure Detection Under Privacy Constraints
by: Sysoykova, Ekaterina, et al.
Published: (2025)

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

Prototypical Contrastive Learning For Improved Few-Shot Audio Classification
by: Sgouropoulos, Christos, et al.
Published: (2025)

Implicit Shape-Prior for Few-Shot Assisted 3D Segmentation
by: Monvoisin, Mathilde, et al.
Published: (2025)

Parameter-Free Hypergraph Neural Network for Few-Shot Node Classification
by: Bae, Chaewoon, et al.
Published: (2025)

Embedding -based Crop Type Classification in the Groundnut Basin of Senegal
by: Lisaius, Madeline C., et al.
Published: (2026)

Manual Verbalizer Enrichment for Few-Shot Text Classification
by: Nguyen, Quang Anh, et al.
Published: (2024)

MetaCropFollow: Few-Shot Adaptation with Meta-Learning for Under-Canopy Navigation
by: Woehrle, Thomas, et al.
Published: (2024)

Active Few-Shot Learning for Vertex Classification Starting from an Unlabeled Dataset
by: Burr, Felix, et al.
Published: (2025)

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

Rejection Sampling IMLE: Designing Priors for Better Few-Shot Image Synthesis
by: Vashist, Chirag, et al.
Published: (2024)

MindAlign: Bridging EEG, Vision, and Language for Zero-Shot Visual Decoding
by: Chen, Zexuan, et al.
Published: (2026)

SeMoBridge: Semantic Modality Bridge for Efficient Few-Shot Adaptation of CLIP
by: Timmermann, Christoph, et al.
Published: (2025)

Self-Supervised Learning for Few-Shot Bird Sound Classification
by: Moummad, Ilyass, et al.
Published: (2023)

Bridging Generalization and Personalization in Human Activity Recognition via On-Device Few-Shot Learning
by: Kang, Pixi, et al.
Published: (2025)

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

Predicate Hierarchies Improve Few-Shot State Classification
by: Jin, Emily, et al.
Published: (2025)

Is Meta-Learning Out? Rethinking Unsupervised Few-Shot Classification with Limited Entropy
by: Guan, Yunchuan, et al.
Published: (2025)

Diversity Over Quantity: A Lesson From Few Shot Relation Classification
by: Cohen, Amir DN, et al.
Published: (2024)

A Few-Shot LLM Framework for Extreme Day Classification in Electricity Markets
by: Alghumayjan, Saud, et al.
Published: (2026)

Does Prior Data Matter? Exploring Joint Training in the Context of Few-Shot Class-Incremental Learning
by: Kim, Shiwon, et al.
Published: (2025)

Unsupervised Meta-Learning via Dynamic Head and Heterogeneous Task Construction for Few-Shot Classification
by: Guan, Yunchuan, et al.
Published: (2024)

Mind the Gap: Optimal and Equitable Encouragement Policies
by: Zhou, Angela
Published: (2023)

On the Transferability of Large-Scale Self-Supervision to Few-Shot Audio Classification
by: Heggan, Calum, et al.
Published: (2024)

Improved Few-Shot Image Classification Through Multiple-Choice Questions
by: Khullar, Dipika, et al.
Published: (2024)

Few-Shot Classification and Anatomical Localization of Tissues in SPECT Imaging
by: Khan, Mohammed Abdul Hafeez, et al.
Published: (2025)

VT-FSL: Bridging Vision and Text with LLMs for Few-Shot Learning
by: Li, Wenhao, et al.
Published: (2025)