Few-Shot Learning

BabyBERTa: Learning More Grammar With Small-Scale Child-Directed Language CoNLL 2021 Bayesian Few-Shot Classification with One-vs-Each Pólya-Gamma Augmented Gaussian Processes ICLR 2021 Bayesian Model-Agnostic Meta-Learning with Matrix-Valued Kernels for Quality Estimation ACL 2021 BC-Z: Zero-Shot Task Generalization with Robotic Imitation Learning CoRL 2021 BERTGen: Multi-task Generation through BERT ACL 2021 Beyond Max-Margin: Class Margin Equilibrium for Few-Shot Object Detection CVPR 2021 Binocular Mutual Learning for Improving Few-Shot Classification ICCV 2021 BOIL: Towards Representation Change for Few-shot Learning ICLR 2021 Boosting the Generalization Capability in Cross-Domain Few-Shot Learning via Noise-Enhanced Supervised Autoencoder ICCV 2021 Bowtie Networks: Generative Modeling for Joint Few-Shot Recognition and Novel-View Synthesis ICLR 2021 Bridging the Gap Between Practice and PAC-Bayes Theory in Few-Shot Meta-Learning NeurIPS 2021 Calibrate Before Use: Improving Few-shot Performance of Language Models ICML 2021 Catch-A-Waveform: Learning to Generate Audio from a Single Short Example NeurIPS 2021 Causal Navigation by Continuous-time Neural Networks NeurIPS 2021 Class-Agnostic Few-Shot Object Counting WACV 2021 Classification of mental illnesses on social media using RoBERTa EACL 2021 Class-Wise Metric Scaling for Improved Few-Shot Classification WACV 2021 CLIPort: What and Where Pathways for Robotic Manipulation CoRL 2021 Coarsely-Labeled Data for Better Few-Shot Transfer ICCV 2021 Comprehensive Study: How the Context Information of Different Granularity Affects Dialogue State Tracking? ACL 2021 Concept Learners for Few-Shot Learning ICLR 2021 Conditional Self-Supervised Learning for Few-Shot Classification IJCAI 2021 Constrained Language Models Yield Few-Shot Semantic Parsers EMNLP 2021 Continuous Coordination As a Realistic Scenario for Lifelong Learning ICML 2021 Contrastive prototype learning with augmented embeddings for few-shot learning UAI 2021