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Few-Shot Learning

2558 directly classified papers

Papers per year

Papers

Learning Orthogonal Prototypes for Generalized Few-Shot Semantic Segmentation CVPR 2023
DiGeo: Discriminative Geometry-Aware Learning for Generalized Few-Shot Object Detection CVPR 2023
Few-Shot Class-Incremental Learning via Class-Aware Bilateral Distillation CVPR 2023
Active Exploration of Multimodal Complementarity for Few-Shot Action Recognition CVPR 2023
Defending Pre-trained Language Models as Few-shot Learners against Backdoor Attacks NIPS 2023
Embroid: Unsupervised Prediction Smoothing Can Improve Few-Shot Classification NIPS 2023
SHOT: Suppressing the Hessian along the Optimization Trajectory for Gradient-Based Meta-Learning NIPS 2023
Learning Prototype Classifiers for Long-Tailed Recognition IJCAI 2023
Few-shot Classification via Ensemble Learning with Multi-Order Statistics IJCAI 2023
Exploring Incompatible Knowledge Transfer in Few-Shot Image Generation CVPR 2023
Self-Correcting Bayesian Optimization through Bayesian Active Learning NIPS 2023
Adaptive Dimension Reduction and Variational Inference for Transductive Few-Shot Classification AISTATS 2023
TCE at Qur’an QA 2023 Shared Task: Low Resource Enhanced Transformer-based Ensemble Approach for Qur’anic QA EMNLP 2023
StyleAdv: Meta Style Adversarial Training for Cross-Domain Few-Shot Learning CVPR 2023
Boosting Low-Data Instance Segmentation by Unsupervised Pre-Training With Saliency Prompt CVPR 2023
Efficient Adaptive Human-Object Interaction Detection with Concept-guided Memory ICCV 2023
ICA-Proto: Iterative Cross Alignment Prototypical Network for Incremental Few-Shot Relation Classification EACL 2023
Resources and Few-shot Learners for In-context Learning in Slavic Languages EACL 2023
Guiding Users to Where To Give Color Hints for Efficient Interactive Sketch Colorization via Unsupervised Region Prioritization WACV 2023
DETA: Denoised Task Adaptation for Few-Shot Learning ICCV 2023
Learning Cross-Modal Affinity for Referring Video Object Segmentation Targeting Limited Samples ICCV 2023
ExPT: Synthetic Pretraining for Few-Shot Experimental Design NIPS 2023
Hyperbolic Graph Neural Networks at Scale: A Meta Learning Approach NIPS 2023
Few-Shot Structured Policy Learning for Multi-Domain and Multi-Task Dialogues EACL 2023
Uncertainty Estimation by Fisher Information-based Evidential Deep Learning ICML 2023