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Few-Shot Learning

1013 directly classified papers

Papers per year

Papers

Pin-Tuning: Parameter-Efficient In-Context Tuning for Few-Shot Molecular Property Prediction NIPS 2024
Hybrid Mamba for Few-Shot Segmentation NIPS 2024
Few-shot Algorithms for Consistent Neural Decoding (FALCON) Benchmark NIPS 2024
One-to-Normal: Anomaly Personalization for Few-shot Anomaly Detection NIPS 2024
A Closer Look at the CLS Token for Cross-Domain Few-Shot Learning NIPS 2024
Cross-Domain Few-Shot Semantic Segmentation via Doubly Matching Transformation IJCAI 2024
Diversity Over Size: On the Effect of Sample and Topic Sizes for Topic-Dependent Argument Mining Datasets EMNLP 2024
Frozen Feature Augmentation for Few-Shot Image Classification CVPR 2024
Multimodal Prompt Perceiver: Empower Adaptiveness Generalizability and Fidelity for All-in-One Image Restoration CVPR 2024
One-Shot Learning as Instruction Data Prospector for Large Language Models ACL 2024
Understanding Inverse Scaling and Emergence in Multitask Representation Learning AISTATS 2024
MinPrompt: Graph-based Minimal Prompt Data Augmentation for Few-shot Question Answering ACL 2024
SparseFit: Few-shot Prompting with Sparse Fine-tuning for Jointly Generating Predictions and Natural Language Explanations ACL 2024
BvSP: Broad-view Soft Prompting for Few-Shot Aspect Sentiment Quad Prediction ACL 2024
Self-Specialization: Uncovering Latent Expertise within Large Language Models ACL 2024
RVT-2: Learning Precise Manipulation from Few Demonstrations RSS 2024
A Prompting Assignment for Exploring Pretrained LLMs ACL 2024
Few-shot Transfer Learning for Knowledge Base Question Answering: Fusing Supervised Models with In-Context Learning ACL 2024
SymKGQA: Few-Shot Knowledge Graph Question Answering via Symbolic Program Generation and Execution ACL 2024
Addressing Background Context Bias in Few-Shot Segmentation through Iterative Modulation CVPR 2024
Bayesian Exploration of Pre-trained Models for Low-shot Image Classification CVPR 2024
Cost-Efficient Subjective Task Annotation and Modeling through Few-Shot Annotator Adaptation EMNLP 2024
Bridging Modalities: Enhancing Cross-Modality Hate Speech Detection with Few-Shot In-Context Learning EMNLP 2024
Does Few-Shot Learning Suffer from Backdoor Attacks? AAAI 2024
Robust Few-Shot Named Entity Recognition with Boundary Discrimination and Correlation Purification AAAI 2024