{"total":45,"rows":[{"id":"2204.07305","title":"Pushing the Limits of Simple Pipelines for Few-Shot Learning: External Data and Fine-Tuning Make a Difference","created":"2022-04-15","cited_by_count":126,"area":null},{"id":"2203.09064","title":"Attribute Surrogates Learning and Spectral Tokens Pooling in Transformers for Few-shot Learning","created":"2022-03-17","cited_by_count":27,"area":null},{"id":"2412.03240","title":"Task-driven Image Fusion with Learnable Fusion Loss","created":"2024-12-04","cited_by_count":25,"area":null},{"id":"2210.16834","title":"Alleviating the Sample Selection Bias in Few-shot Learning by Removing Projection to the Centroid","created":"2022-10-30","cited_by_count":20,"area":null},{"id":"2312.07943","title":"ReFusion: Learning Image Fusion from Reconstruction with Learnable Loss via Meta-Learning","created":"2023-12-13","cited_by_count":15,"area":null},{"id":"2403.03063","title":"CrackNex: a Few-shot Low-light Crack Segmentation Model Based on Retinex Theory for UAV Inspections","created":"2024-03-05","cited_by_count":12,"area":null},{"id":"2304.01552","title":"Meta-Learning with a Geometry-Adaptive Preconditioner","created":"2023-04-04","cited_by_count":11,"area":null},{"id":"2308.11917","title":"LFS-GAN: Lifelong Few-Shot Image Generation","created":"2023-08-23","cited_by_count":11,"area":null},{"id":"2209.08527","title":"Adaptive Dimension Reduction and Variational Inference for Transductive Few-Shot Classification","created":"2022-09-18","cited_by_count":10,"area":null},{"id":"2209.08907","title":"Learning Symbolic Model-Agnostic Loss Functions via Meta-Learning","created":"2022-09-19","cited_by_count":9,"area":null},{"id":"2206.01944","title":"Robust Meta-learning with Sampling Noise and Label Noise via Eigen-Reptile","created":"2022-06-04","cited_by_count":6,"area":null},{"id":"2306.04519","title":"Sample-Level Weighting for Multi-Task Learning with Auxiliary Tasks","created":"2023-06-07","cited_by_count":6,"area":null},{"id":"2210.09922","title":"Few-Shot Learning of Compact Models via Task-Specific Meta Distillation","created":"2022-10-18","cited_by_count":5,"area":null},{"id":"2301.13247","title":"Meta-Learning Adaptive Loss Functions","created":"2023-01-30","cited_by_count":4,"area":null},{"id":"2302.03235","title":"Hebbian and Gradient-based Plasticity Enables Robust Memory and Rapid Learning in RNNs","created":"2023-02-07","cited_by_count":4,"area":null},{"id":"2508.17232","title":"Curvature Learning for Generalization of Hyperbolic Neural Networks","created":"2025-08-24","cited_by_count":4,"area":null},{"id":"2301.07306","title":"Improve Noise Tolerance of Robust Loss via Noise-Awareness","created":"2023-01-18","cited_by_count":3,"area":null},{"id":"2302.14640","title":"Meta-Learning with Adaptive Weighted Loss for Imbalanced Cold-Start Recommendation","created":"2023-02-28","cited_by_count":3,"area":null},{"id":"2305.00454","title":"Few-shot Classification via Ensemble Learning with Multi-Order Statistics","created":"2023-04-30","cited_by_count":3,"area":null},{"id":"2310.04727","title":"Task Aware Modulation using Representation Learning: An Approach for Few Shot Learning in Environmental Systems","created":"2023-10-07","cited_by_count":3,"area":null},{"id":"2203.01482","title":"MetaDT: Meta Decision Tree with Class Hierarchy for Interpretable Few-Shot Learning","created":"2022-03-03","cited_by_count":2,"area":null},{"id":"2305.10884","title":"Meta-Auxiliary Network for 3D GAN Inversion","created":"2023-05-18","cited_by_count":2,"area":null},{"id":"2307.06771","title":"Generalizing Supervised Deep Learning MRI Reconstruction to Multiple and Unseen Contrasts using Meta-Learning Hypernetworks","created":"2023-07-13","cited_by_count":2,"area":null},{"id":"2310.19313","title":"L2T-DLN: Learning to Teach with Dynamic Loss Network","created":"2023-10-30","cited_by_count":2,"area":null},{"id":"2311.07277","title":"AdaCCD: Adaptive Semantic Contrasts Discovery Based Cross Lingual Adaptation for Code Clone Detection","created":"2023-11-13","cited_by_count":2,"area":null},{"id":"2410.18894","title":"Meta-Learning with Heterogeneous Tasks","created":"2024-10-24","cited_by_count":2,"area":null},{"id":"2506.08906","title":"Hyperbolic Dual Feature Augmentation for Open-Environment","created":"2025-06-10","cited_by_count":2,"area":null},{"id":"2506.18533","title":"Geometry-aware Distance Measure for Diverse Hierarchical Structures in Hyperbolic Spaces","created":"2025-06-23","cited_by_count":2,"area":null},{"id":"2605.13672","title":"SpurAudio: A Benchmark for Studying Shortcut Learning in Few-Shot Audio Classification","created":"2026-05-13","cited_by_count":2,"area":null},{"id":"2204.08090","title":"Learning Compositional Representations for Effective Low-Shot Generalization","created":"2022-04-17","cited_by_count":1,"area":null},{"id":"2210.01600","title":"Positive Pair Distillation Considered Harmful: Continual Meta Metric Learning for Lifelong Object Re-Identification","created":"2022-10-04","cited_by_count":1,"area":null},{"id":"2211.16185","title":"Disentangled Generation with Information Bottleneck for Few-Shot Learning","created":"2022-11-29","cited_by_count":1,"area":null},{"id":"2403.03535","title":"Task Attribute Distance for Few-Shot Learning: Theoretical Analysis and Applications","created":"2024-03-06","cited_by_count":1,"area":null},{"id":"2406.07983","title":"Meta-Learning Neural Procedural Biases","created":"2024-06-12","cited_by_count":1,"area":null},{"id":"2409.11770","title":"Knowledge Adaptation Network for Few-Shot Class-Incremental Learning","created":"2024-09-18","cited_by_count":1,"area":null},{"id":"2207.07110","title":"Fine-grained Few-shot Recognition by Deep Object Parsing","created":"2022-07-14","cited_by_count":0,"area":null},{"id":"2304.11173","title":"Task-Adaptive Pseudo Labeling for Transductive Meta-Learning","created":"2023-04-21","cited_by_count":0,"area":null},{"id":"2306.05107","title":"Unsupervised augmentation optimization for few-shot medical image segmentation","created":"2023-06-08","cited_by_count":0,"area":null},{"id":"2311.02300","title":"Successive Model-Agnostic Meta-Learning for Few-Shot Fault Time Series Prognosis","created":"2023-11-04","cited_by_count":0,"area":null},{"id":"2408.15924","title":"Local Descriptors Weighted Adaptive Threshold Filtering For Few-Shot Learning","created":"2024-08-28","cited_by_count":0,"area":null},{"id":"2409.08798","title":"Reading ability detection using eye-tracking data with LSTM-based few-shot learning","created":"2024-09-13","cited_by_count":0,"area":null},{"id":"2412.12030","title":"Memory-Reduced Meta-Learning with Guaranteed Convergence","created":"2024-12-16","cited_by_count":0,"area":null},{"id":"2504.09664","title":"Adapting to the Unknown: Robust Meta-Learning for Zero-Shot Financial Time Series Forecasting","created":"2025-04-13","cited_by_count":0,"area":null},{"id":"2605.03722","title":"Distribution-Free Pretraining of Classification Losses via Evolutionary Dynamics","created":"2026-05-05","cited_by_count":0,"area":null},{"id":"2606.26902","title":"Learning to Recover Task Experts from a Multi-Task Merged Model","created":"2026-06-25","cited_by_count":0,"area":null}],"next_cursor":null}