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Few-Shot Learning

1062 directly classified papers

Papers per year

Papers

Cross-Domain Few-Shot Semantic Segmentation via Doubly Matching Transformation IJCAI 2024
Visual Prompting for Generalized Few-shot Segmentation: A Multi-scale Approach CVPR 2024
Effective Demonstration Annotation for In-Context Learning via Language Model-Based Determinantal Point Process EMNLP 2024
Few-Shot Relation Extraction with Hybrid Visual Evidence COLING 2024
Back to 3D: Few-Shot 3D Keypoint Detection with Back-Projected 2D Features CVPR 2024
Shopping MMLU: A Massive Multi-Task Online Shopping Benchmark for Large Language Models NIPS 2024
DAVE - A Detect-and-Verify Paradigm for Low-Shot Counting CVPR 2024
Major Entity Identification: A Generalizable Alternative to Coreference Resolution EMNLP 2024
SparseFit: Few-shot Prompting with Sparse Fine-tuning for Jointly Generating Predictions and Natural Language Explanations ACL 2024
Generate Like Experts: Multi-Stage Font Generation by Incorporating Font Transfer Process into Diffusion Models CVPR 2024
Tiny Time Mixers (TTMs): Fast Pre-trained Models for Enhanced Zero/Few-Shot Forecasting of Multivariate Time Series NIPS 2024
Do Prompt Positions Really Matter? NAACL 2024
LARA: Linguistic-Adaptive Retrieval-Augmentation for Multi-Turn Intent Classification EMNLP 2024
Semantic Generative Augmentations for Few-Shot Counting WACV 2024
Disentangling Questions from Query Generation for Task-Adaptive Retrieval EMNLP 2024
Domain-aware and Co-adaptive Feature Transformation for Domain Adaption Few-shot Relation Extraction COLING 2024
Retrieval-Augmented Code Generation for Situated Action Generation: A Case Study on Minecraft EMNLP 2024
Language-to-Code Translation with a Single Labeled Example EMNLP 2024
Few-shot Prompting for Pairwise Ranking: An Effective Non-Parametric Retrieval Model EMNLP 2024
SciPrompt: Knowledge-augmented Prompting for Fine-grained Categorization of Scientific Topics EMNLP 2024
Induct-Learn: Short Phrase Prompting with Instruction Induction EMNLP 2024
Reference Trustable Decoding: A Training-Free Augmentation Paradigm for Large Language Models NIPS 2024
FuseGen: PLM Fusion for Data-generation based Zero-shot Learning EMNLP 2024
Adapting LLM to Multi-lingual ESG Impact and Length Prediction Using In-context Learning and Fine-Tuning with Rationale COLING 2024
C-ICL: Contrastive In-context Learning for Information Extraction EMNLP 2024