low-data regime

BEFT: Bias-Efficient Fine-Tuning of Language Models in Low-Data Regimes ACL 2026 OxEnsemble: Fair Ensembles for Low-Data Classification MIDL 2026 A Comprehensive Benchmark of Supervised and Self-supervised Pre-training on Multi-view Chest X-ray Classification MIDL 2024 Fair Active Learning in Low-Data Regimes UAI 2024 Leveraging Self-Consistency for Data-Efficient Amortized Bayesian Inference ICML 2024 LLM2LLM: Boosting LLMs with Novel Iterative Data Enhancement ACL 2024 Visual Grounding Helps Learn Word Meanings in Low-Data Regimes NAACL 2024 Boosting Low-Data Instance Segmentation by Unsupervised Pre-Training With Saliency Prompt CVPR 2023 Vision-Language Modelling For Radiological Imaging and Reports In The Low Data Regime MIDL 2023 The Unreasonable Effectiveness of Fully-Connected Layers for Low-Data Regimes NeurIPS 2022 Unsupervised Object Detection Pretraining with Joint Object Priors Generation and Detector Learning NeurIPS 2022 Deceive D: Adaptive Pseudo Augmentation for GAN Training with Limited Data NeurIPS 2021 GOLD: Improving Out-of-Scope Detection in Dialogues using Data Augmentation EMNLP 2021 Towards Contextual Learning in Few-Shot Object Classification WACV 2021 Value-Agnostic Conversational Semantic Parsing ACL 2021 Probabilistic Neural Symbolic Models for Interpretable Visual Question Answering ICML 2019 Joint Concept Learning and Semantic Parsing from Natural Language Explanations EMNLP 2017