few-shot learning

Making Pre-trained Language Models Better Continual Few-Shot Relation Extractors COLING 2024 Many-Shot In-Context Learning NeurIPS 2024 MARVEL: Multidimensional Abstraction and Reasoning through Visual Evaluation and Learning NeurIPS 2024 Mashee at SemEval-2024 Task 8: The Impact of Samples Quality on the Performance of In-Context Learning for Machine Text Classification SemEval 2024 MaskDiff: Modeling Mask Distribution with Diffusion Probabilistic Model for Few-Shot Instance Segmentation AAAI 2024 MasonTigers at SemEval-2024 Task 9: Solving Puzzles with an Ensemble of Chain-of-Thought Prompts SemEval 2024 MathAttack: Attacking Large Language Models towards Math Solving Ability AAAI 2024 MDR: Model-Specific Demonstration Retrieval at Inference Time for In-Context Learning NAACL 2024 Measuring the Robustness of NLP Models to Domain Shifts EMNLP 2024 Medical Adaptation of Large Language and Vision-Language Models: Are We Making Progress? EMNLP 2024 MediTOD: An English Dialogue Dataset for Medical History Taking with Comprehensive Annotations EMNLP 2024 Memory-Efficient Fine-Tuning of Transformers via Token Selection EMNLP 2024 Meta-Controller: Few-Shot Imitation of Unseen Embodiments and Tasks in Continuous Control NeurIPS 2024 Metadata Enhancement Using Large Language Models ACL 2024 MetaDiff: Meta-Learning with Conditional Diffusion for Few-Shot Learning AAAI 2024 Meta-Exploiting Frequency Prior for Cross-Domain Few-Shot Learning NeurIPS 2024 Meta In-Context Learning Makes Large Language Models Better Zero and Few-Shot Relation Extractors IJCAI 2024 Meta-Learning Priors Using Unrolled Proximal Networks ICLR 2024 Meta-Learning Universal Priors Using Non-Injective Change of Variables NeurIPS 2024 Metalearning with Very Few Samples Per Task COLT 2024 Meta-Point Learning and Refining for Category-Agnostic Pose Estimation CVPR 2024 MICS: Midpoint Interpolation To Learn Compact and Separated Representations for Few-Shot Class-Incremental Learning WACV 2024 Mind the Gap Between Prototypes and Images in Cross-domain Finetuning NeurIPS 2024 MiniConGTS: A Near Ultimate Minimalist Contrastive Grid Tagging Scheme for Aspect Sentiment Triplet Extraction EMNLP 2024 MinPrompt: Graph-based Minimal Prompt Data Augmentation for Few-shot Question Answering ACL 2024