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Few-Shot Learning

618 directly classified papers

Papers per year

Papers

AsyFOD: An Asymmetric Adaptation Paradigm for Few-Shot Domain Adaptive Object Detection CVPR 2023
StyleAdv: Meta Style Adversarial Training for Cross-Domain Few-Shot Learning CVPR 2023
Where Is My Wallet? Modeling Object Proposal Sets for Egocentric Visual Query Localization CVPR 2023
Hint-Aug: Drawing Hints From Foundation Vision Transformers Towards Boosted Few-Shot Parameter-Efficient Tuning CVPR 2023
Handwritten Text Generation From Visual Archetypes CVPR 2023
PromptNER: Prompt Locating and Typing for Named Entity Recognition ACL 2023
UniSumm and SummZoo: Unified Model and Diverse Benchmark for Few-Shot Summarization ACL 2023
CodeIE: Large Code Generation Models are Better Few-Shot Information Extractors ACL 2023
Revisiting Relation Extraction in the era of Large Language Models ACL 2023
Few-Shot Data-to-Text Generation via Unified Representation and Multi-Source Learning ACL 2023
LM-CPPF: Paraphrasing-Guided Data Augmentation for Contrastive Prompt-Based Few-Shot Fine-Tuning ACL 2023
Coarse-to-fine Few-shot Learning for Named Entity Recognition ACL 2023
Exploring Euphemism Detection in Few-Shot and Zero-Shot Settings EMNLP 2022
MOMA-LRG: Language-Refined Graphs for Multi-Object Multi-Actor Activity Parsing NIPS 2022
Neural Attentive Circuits NIPS 2022
Language Models with Image Descriptors are Strong Few-Shot Video-Language Learners NIPS 2022
Prototypical VoteNet for Few-Shot 3D Point Cloud Object Detection NIPS 2022
Towards Unified Prompt Tuning for Few-shot Text Classification EMNLP 2022
Few-Shot Head Swapping in the Wild CVPR 2022
Doodle It Yourself: Class Incremental Learning by Drawing a Few Sketches CVPR 2022
Few Shot Generative Model Adaption via Relaxed Spatial Structural Alignment CVPR 2022
CoNeRF: Controllable Neural Radiance Fields CVPR 2022
Powering Finetuning in Few-Shot Learning: Domain-Agnostic Bias Reduction with Selected Sampling AAAI 2022
Rethinking the Role of Demonstrations: What Makes In-Context Learning Work? EMNLP 2022
Don’t Stop Fine-Tuning: On Training Regimes for Few-Shot Cross-Lingual Transfer with Multilingual Language Models EMNLP 2022