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Few-Shot Learning

2558 directly classified papers

Papers per year

Papers

Generating Representative Samples for Few-Shot Classification CVPR 2022
Integrative Few-Shot Learning for Classification and Segmentation CVPR 2022
iFS-RCNN: An Incremental Few-Shot Instance Segmenter CVPR 2022
Cross-Domain Few-Shot Learning With Task-Specific Adapters CVPR 2022
Few-Shot Learning With Noisy Labels CVPR 2022
All-in-One Image Restoration for Unknown Corruption CVPR 2022
Rapid Model Architecture Adaption for Meta-Learning NIPS 2022
Smoothed Embeddings for Certified Few-Shot Learning NIPS 2022
Meta-ticket: Finding optimal subnetworks for few-shot learning within randomly initialized neural networks NIPS 2022
Learning Generalized Policy Automata for Relational Stochastic Shortest Path Problems NIPS 2022
Graph Few-shot Learning with Task-specific Structures NIPS 2022
FeLMi : Few shot Learning with hard Mixup NIPS 2022
A Closer Look at Prototype Classifier for Few-shot Image Classification NIPS 2022
Adversarial Task Up-sampling for Meta-learning NIPS 2022
Few-Shot Audio-Visual Learning of Environment Acoustics NIPS 2022
Cross-modal Learning for Image-Guided Point Cloud Shape Completion NIPS 2022
Non-Parametric Word Sense Disambiguation for Historical Languages AACL 2022
On the Episodic Difficulty of Few-shot Learning ACML 2022
Fast Lifelong Adaptive Inverse Reinforcement Learning from Demonstrations CORL 2022
Perceiver-Actor: A Multi-Task Transformer for Robotic Manipulation CORL 2022
Residual bootstrap exploration for stochastic linear bandit UAI 2022
AK: Attentive Kernel for Information Gathering RSS 2022
CS/NLP at SemEval-2022 Task 4: Effective Data Augmentation Methods for Patronizing Language Detection and Multi-label Classification with RoBERTa and GPT3 SEMEVAL 2022
Warping Layer: Representation Learning for Label Structures in Weakly Supervised Learning AISTATS 2022
Few-Shot Fast-Adaptive Anomaly Detection NIPS 2022