{"total":23,"rows":[{"id":"2403.10380","title":"BirdSet: A Large-Scale Dataset for Audio Classification in Avian Bioacoustics","created":"2024-03-15","cited_by_count":36,"area":null},{"id":"2312.15824","title":"Self-Supervised Learning for Few-Shot Bird Sound Classification","created":"2023-12-25","cited_by_count":11,"area":null},{"id":"2302.12712","title":"Amortised Invariance Learning for Contrastive Self-Supervision","created":"2023-02-24","cited_by_count":8,"area":null},{"id":"2309.08971","title":"Regularized Contrastive Pre-training for Few-shot Bioacoustic Sound Detection","created":"2023-09-16","cited_by_count":7,"area":null},{"id":"2403.09598","title":"Mixture of Mixups for Multi-label Classification of Rare Anuran Sounds","created":"2024-03-14","cited_by_count":4,"area":null},{"id":"2411.04036","title":"Stepping Forward on the Last Mile","created":"2024-11-06","cited_by_count":4,"area":null},{"id":"2305.17191","title":"MT-SLVR: Multi-Task Self-Supervised Learning for Transformation In(Variant) Representations","created":"2023-05-29","cited_by_count":3,"area":null},{"id":"2302.14204","title":"HalluAudio: Hallucinating Frequency as Concepts for Few-Shot Audio Classification","created":"2023-02-27","cited_by_count":2,"area":null},{"id":"2305.13080","title":"Mitigating Catastrophic Forgetting for Few-Shot Spoken Word Classification Through Meta-Learning","created":"2023-05-22","cited_by_count":2,"area":null},{"id":"2309.00878","title":"Pretraining Representations for Bioacoustic Few-shot Detection using Supervised Contrastive Learning","created":"2023-09-02","cited_by_count":2,"area":null},{"id":"2402.01274","title":"On the Transferability of Large-Scale Self-Supervision to Few-Shot Audio Classification","created":"2024-02-02","cited_by_count":2,"area":null},{"id":"2408.10330","title":"Meta-Learning in Audio and Speech Processing: An End to End Comprehensive Review","created":"2024-08-19","cited_by_count":2,"area":null},{"id":"2410.05302","title":"Episodic fine-tuning prototypical networks for optimization-based few-shot learning: Application to audio classification","created":"2024-10-04","cited_by_count":2,"area":null},{"id":"2509.10074","title":"Prototypical Contrastive Learning For Improved Few-Shot Audio Classification","created":"2025-09-12","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":"2405.02119","title":"EnvId: A Metric Learning Approach for Forensic Few-Shot Identification of Unseen Environments","created":"2024-05-03","cited_by_count":0,"area":null},{"id":"2410.04633","title":"A Cross-Lingual Meta-Learning Method Based on Domain Adaptation for Speech Emotion Recognition","created":"2024-10-06","cited_by_count":0,"area":null},{"id":"2410.23325","title":"Transfer Learning in Vocal Education: Technical Evaluation of Limited Samples Describing Mezzo-soprano","created":"2024-10-30","cited_by_count":0,"area":null},{"id":"2502.19071","title":"MCLRL: A Multi-Domain Contrastive Learning with Reinforcement Learning Framework for Few-Shot Modulation Recognition","created":"2025-02-26","cited_by_count":0,"area":null},{"id":"2504.04017","title":"A Comprehensive Survey of Challenges and Opportunities of Few-Shot Learning Across Multiple Domains","created":"2025-04-05","cited_by_count":0,"area":null},{"id":"2506.01678","title":"Overcoming Labelled Data Scarcity for Defect Classification in Scanning Tunneling Microscopy","created":"2025-06-02","cited_by_count":0,"area":null},{"id":"2506.17499","title":"Episode-specific Fine-tuning for Metric-based Few-shot Learners with Optimization-based Training","created":"2025-06-20","cited_by_count":0,"area":null},{"id":"2609.17076","title":"Sample-Conditioned Representation Selection for Audio Few-Shot Learning","created":"2026-09-15","cited_by_count":0,"area":null}],"next_cursor":null}