few-shot learning

Characterizing Generalization under Out-Of-Distribution Shifts in Deep Metric Learning NeurIPS 2021 CLIPort: What and Where Pathways for Robotic Manipulation CoRL 2021 Coarsely-Labeled Data for Better Few-Shot Transfer ICCV 2021 Cold-start Sequential Recommendation via Meta Learner AAAI 2021 (Comet-) Atomic 2020: On Symbolic and Neural Commonsense Knowledge Graphs AAAI 2021 Comprehensive Study: How the Context Information of Different Granularity Affects Dialogue State Tracking? ACL 2021 Concept Learners for Few-Shot Learning ICLR 2021 Constrained Language Models Yield Few-Shot Semantic Parsers EMNLP 2021 Continual Few-Shot Learning for Text Classification EMNLP 2021 Continuous Coordination As a Realistic Scenario for Lifelong Learning ICML 2021 Continuous Entailment Patterns for Lexical Inference in Context EMNLP 2021 Contrastive prototype learning with augmented embeddings for few-shot learning UAI 2021 ConVEx: Data-Efficient and Few-Shot Slot Labeling NAACL 2021 ConvFiT: Conversational Fine-Tuning of Pretrained Language Models EMNLP 2021 CrossFit: A Few-shot Learning Challenge for Cross-task Generalization in NLP EMNLP 2021 Cross-Lingual Low Resource Speaker Adaptation Using Phonological Features Interspeech 2021 CURI: A Benchmark for Productive Concept Learning Under Uncertainty ICML 2021 Curvature Generation in Curved Spaces for Few-Shot Learning ICCV 2021 Cut out the annotator, keep the cutout: better segmentation with weak supervision ICLR 2021 D2C: Diffusion-Decoding Models for Few-Shot Conditional Generation NeurIPS 2021 Data Augmentation for Meta-Learning ICML 2021 Deep Metric Learning for Open World Semantic Segmentation ICCV 2021 Delving Deep Into Many-to-Many Attention for Few-Shot Video Object Segmentation CVPR 2021 Demonstration-Conditioned Reinforcement Learning for Few-Shot Imitation ICML 2021 Detecting Individual Decision-Making Style: Exploring Behavioral Stylometry in Chess NeurIPS 2021