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Few-Shot Learning

2558 directly classified papers

Papers per year

Papers

WinoDict: Probing language models for in-context word acquisition EACL 2023
Zero and Few-Shot Localization of Task-Oriented Dialogue Agents with a Distilled Representation EACL 2023
Evolving Semantic Prototype Improves Generative Zero-Shot Learning ICML 2023
PAC-tuning: Fine-tuning Pre-trained Language Models with PAC-driven Perturbed Gradient Descent EMNLP 2023
Effective Structured Prompting by Meta-Learning and Representative Verbalizer ICML 2023
LoCoOp: Few-Shot Out-of-Distribution Detection via Prompt Learning NIPS 2023
Episodic Multi-Task Learning with Heterogeneous Neural Processes NIPS 2023
Mitigating the Effect of Incidental Correlations on Part-based Learning NIPS 2023
DiffKendall: A Novel Approach for Few-Shot Learning with Differentiable Kendall's Rank Correlation NIPS 2023
Hierarchical Gaussian Mixture based Task Generative Model for Robust Meta-Learning NIPS 2023
Towards Discriminative and Transferable One-Stage Few-Shot Object Detectors WACV 2023
CellTranspose: Few-Shot Domain Adaptation for Cellular Instance Segmentation WACV 2023
Adaptive Local-Component-Aware Graph Convolutional Network for One-Shot Skeleton-Based Action Recognition WACV 2023
Few-Shot Medical Image Segmentation With Cycle-Resemblance Attention WACV 2023
Contrastive Knowledge-Augmented Meta-Learning for Few-Shot Classification WACV 2023
MORGAN: Meta-Learning-Based Few-Shot Open-Set Recognition via Generative Adversarial Network WACV 2023
Towards Few-Annotation Learning for Object Detection: Are Transformer-Based Models More Efficient? WACV 2023
PromptBoosting: Black-Box Text Classification with Ten Forward Passes ICML 2023
K-hop neighbourhood regularization for few-shot learning on graphs: A case study of text classification EACL 2023
Selective In-Context Data Augmentation for Intent Detection using Pointwise V-Information EACL 2023
The Devil is in the Details: On Models and Training Regimes for Few-Shot Intent Classification EACL 2023
Opportunities and Challenges in Neural Dialog Tutoring EACL 2023
Assessing Out-of-Domain Language Model Performance from Few Examples EACL 2023
Bootstrapping Multilingual Semantic Parsers using Large Language Models EACL 2023
MAPL: Parameter-Efficient Adaptation of Unimodal Pre-Trained Models for Vision-Language Few-Shot Prompting EACL 2023