Few-Shot Learning

Latent Derivative Bayesian Last Layer Networks AISTATS 2021 Learn Continually, Generalize Rapidly: Lifelong Knowledge Accumulation for Few-shot Learning EMNLP 2021 Learned Spatial Representations for Few-Shot Talking-Head Synthesis ICCV 2021 Learn from Concepts: Towards the Purified Memory for Few-shot Learning IJCAI 2021 Learning a Few-shot Embedding Model with Contrastive Learning AAAI 2021 Learning Dynamic Alignment via Meta-Filter for Few-Shot Learning CVPR 2021 Learning from Language Description: Low-shot Named Entity Recognition via Decomposed Framework EMNLP 2021 Learning from Miscellaneous Other-Class Words for Few-shot Named Entity Recognition ACL 2021 Learning from My Friends: Few-Shot Personalized Conversation Systems via Social Networks AAAI 2021 Learning Implicit Temporal Alignment for Few-shot Video Classification IJCAI 2021 Learning Meta-Class Memory for Few-Shot Semantic Segmentation ICCV 2021 Learning Multi-Stage Tasks with One Demonstration via Self-Replay CoRL 2021 Learning Opinion Summarizers by Selecting Informative Reviews EMNLP 2021 Learning Prototype Representations Across Few-Shot Tasks for Event Detection EMNLP 2021 Learning To Count Everything CVPR 2021 Learning to Learn Dense Gaussian Processes for Few-Shot Learning NeurIPS 2021 Learning to Learn Personalized Neural Network for Ventricular Arrhythmias Detection on Intracardiac EGMs IJCAI 2021 Learning to Learn Semantic Factors in Heterogeneous Image Classification NAACL 2021 Learning to learn with Gaussian processes UAI 2021 Learning Unsupervised Metaformer for Anomaly Detection ICCV 2021 Learning Visually Guided Latent Actions for Assistive Teleoperation L4DC 2021 Learning where to learn: Gradient sparsity in meta and continual learning NeurIPS 2021 Less Is More: Domain Adaptation with Lottery Ticket for Reading Comprehension EMNLP 2021 `Less Than One'-Shot Learning: Learning N Classes From M < N Samples AAAI 2021 Lexicon Learning for Few Shot Sequence Modeling ACL 2021