Few-Shot Learning

UniT: Unified Knowledge Transfer for Any-Shot Object Detection and Segmentation CVPR 2021 Universal-Prototype Enhancing for Few-Shot Object Detection ICCV 2021 Universal Representation Learning From Multiple Domains for Few-Shot Classification ICCV 2021 Unsupervised Embedding Adaptation via Early-Stage Feature Reconstruction for Few-Shot Classification ICML 2021 Using Shape To Categorize: Low-Shot Learning With an Explicit Shape Bias CVPR 2021 Video Pose Distillation for Few-Shot, Fine-Grained Sports Action Recognition ICCV 2021 Want To Reduce Labeling Cost? GPT-3 Can Help EMNLP 2021 Weakly-Supervised Object Representation Learning for Few-Shot Semantic Segmentation WACV 2021 What to Pre-Train on? Efficient Intermediate Task Selection EMNLP 2021 Z-Score Normalization, Hubness, and Few-Shot Learning ICCV 2021 Action Genome: Actions As Compositions of Spatio-Temporal Scene Graphs CVPR 2020 Adaptive Subspaces for Few-Shot Learning CVPR 2020 A deep learning approach to segmentation of the developing cortex in fetal brain MRI with minimal manual labeling MIDL 2020 Adversarial Feature Hallucination Networks for Few-Shot Learning CVPR 2020 Analogy Models for Neural Word Inflection COLING 2020 An Investigation of Few-Shot Learning in Spoken Term Classification Interspeech 2020 Attention-Based Speaker Embeddings for One-Shot Voice Conversion Interspeech 2020 Attentron: Few-Shot Text-to-Speech Utilizing Attention-Based Variable-Length Embedding Interspeech 2020 A Two-Stage Masked LM Method for Term Set Expansion ACL 2020 Augmented Natural Language for Generative Sequence Labeling EMNLP 2020 Auxiliary Task Reweighting for Minimum-data Learning NeurIPS 2020 Bayesian Meta-Learning for the Few-Shot Setting via Deep Kernels NeurIPS 2020 Bi-Level Speaker Supervision for One-Shot Speech Synthesis Interspeech 2020 Boosting Few-Shot Learning With Adaptive Margin Loss CVPR 2020 Composed Variational Natural Language Generation for Few-shot Intents EMNLP 2020