Few-Shot Learning

Meta-learning with differentiable closed-form solvers ICLR 2019 Meta-Learning With Differentiable Convex Optimization CVPR 2019 Meta-Learning with Implicit Gradients NeurIPS 2019 Meta-Learning with Latent Embedding Optimization ICLR 2019 Meta R-CNN: Towards General Solver for Instance-Level Low-Shot Learning ICCV 2019 Meta Relational Learning for Few-Shot Link Prediction in Knowledge Graphs EMNLP 2019 Meta-Transfer Learning for Few-Shot Learning CVPR 2019 Multi-Level Matching and Aggregation Network for Few-Shot Relation Classification ACL 2019 On the Performance of Thompson Sampling on Logistic Bandits COLT 2019 Out-of-Domain Detection for Low-Resource Text Classification Tasks EMNLP 2019 PAMTRI: Pose-Aware Multi-Task Learning for Vehicle Re-Identification Using Highly Randomized Synthetic Data ICCV 2019 PANet: Few-Shot Image Semantic Segmentation With Prototype Alignment ICCV 2019 Personalizing Dialogue Agents via Meta-Learning ACL 2019 PGANs: Personalized Generative Adversarial Networks for ECG Synthesis to Improve Patient-Specific Deep ECG Classification AAAI 2019 Probabilistic Neural Symbolic Models for Interpretable Visual Question Answering ICML 2019 Prototype Propagation Networks (PPN) for Weakly-supervised Few-shot Learning on Category Graph IJCAI 2019 Pyramid Graph Networks With Connection Attentions for Region-Based One-Shot Semantic Segmentation ICCV 2019 Reconciling meta-learning and continual learning with online mixtures of tasks NeurIPS 2019 Reevaluating Argument Component Extraction in Low Resource Settings EMNLP 2019 RepMet: Representative-Based Metric Learning for Classification and Few-Shot Object Detection CVPR 2019 Risk-Averse Stochastic Convex Bandit AISTATS 2019 Sample Efficient Adaptive Text-to-Speech ICLR 2019 Semantic Projection Network for Zero- and Few-Label Semantic Segmentation CVPR 2019 Semi-Parametric Sampling for Stochastic Bandits with Many Arms AAAI 2019 Set Transformer: A Framework for Attention-based Permutation-Invariant Neural Networks ICML 2019