few-shot learning

Meta-Meta Classification for One-Shot Learning WACV 2022 MetaNODE: Prototype Optimization as a Neural ODE for Few-Shot Learning AAAI 2022 MetaPrompting: Learning to Learn Better Prompts COLING 2022 Meta Propagation Networks for Graph Few-shot Semi-supervised Learning AAAI 2022 MetaSLRCL: A Self-Adaptive Learning Rate and Curriculum Learning Based Framework for Few-Shot Text Classification COLING 2022 Meta-ticket: Finding optimal subnetworks for few-shot learning within randomly initialized neural networks NeurIPS 2022 MGIMN: Multi-Grained Interactive Matching Network for Few-shot Text Classification NAACL 2022 Minimally-Supervised Relation Induction from Pre-trained Language Model NAACL 2022 MIRA: Mental Imagery for Robotic Affordances CoRL 2022 Mixed Differential Privacy in Computer Vision CVPR 2022 Modeling Image Composition for Complex Scene Generation CVPR 2022 MOMA-LRG: Language-Refined Graphs for Multi-Object Multi-Actor Activity Parsing NeurIPS 2022 Motion-Modulated Temporal Fragment Alignment Network for Few-Shot Action Recognition CVPR 2022 MT3: Meta Test-Time Training for Self-Supervised Test-Time Adaption AISTATS 2022 Multi-Agent Reinforcement Learning is a Sequence Modeling Problem NeurIPS 2022 Multidimensional Belief Quantification for Label-Efficient Meta-Learning CVPR 2022 Multilingual Relation Classification via Efficient and Effective Prompting EMNLP 2022 Multi-Tenant Optimization For Few-Shot Task-Oriented FAQ Retrieval EMNLP 2022 Mutual information based Bayesian graph neural network for few-shot learning UAI 2022 Natural Language to Code Translation with Execution EMNLP 2022 Neural Attentive Circuits NeurIPS 2022 Neural Variational Dropout Processes ICLR 2022 NLP From Scratch Without Large-Scale Pretraining: A Simple and Efficient Framework ICML 2022 Non-Parametric Word Sense Disambiguation for Historical Languages AACL 2022 N-Shot Learning for Augmenting Task-Oriented Dialogue State Tracking ACL 2022