Meta-Learning

Multimodal Model-Agnostic Meta-Learning via Task-Aware Modulation NeurIPS 2019 Online-Within-Online Meta-Learning NeurIPS 2019 On the Time Complexity of Algorithm Selection Hyper-Heuristics for Multimodal Optimisation AAAI 2019 Personalizing Dialogue Agents via Meta-Learning ACL 2019 Progressive Differentiable Architecture Search: Bridging the Depth Gap Between Search and Evaluation ICCV 2019 Prototype Propagation Networks (PPN) for Weakly-supervised Few-shot Learning on Category Graph IJCAI 2019 Sample Efficient Active Learning of Causal Trees NeurIPS 2019 Seeded self-play for language learning EMNLP 2019 Self-Regulated Interactive Sequence-to-Sequence Learning ACL 2019 TAFE-Net: Task-Aware Feature Embeddings for Low Shot Learning CVPR 2019 TAPAS: Train-Less Accuracy Predictor for Architecture Search AAAI 2019 Task2Vec: Task Embedding for Meta-Learning ICCV 2019 Task Agnostic Meta-Learning for Few-Shot Learning CVPR 2019 Team Fernando-Pessa at SemEval-2019 Task 4: Back to Basics in Hyperpartisan News Detection SemEval 2019 Towards Automated Semi-Supervised Learning AAAI 2019 Towards Fluid Machine Intelligence: Can We Make a Gifted AI? AAAI 2019 Trainable Undersampling for Class-Imbalance Learning AAAI 2019 Transferable AutoML by Model Sharing Over Grouped Datasets CVPR 2019 Unsupervised Meta-Learning for Few-Shot Image Classification NeurIPS 2019 Unsupervised Meta-Learning of Figure-Ground Segmentation via Imitating Visual Effects AAAI 2019 Bayesian Model-Agnostic Meta-Learning NeurIPS 2018 Benefits of over-parameterization with EM NeurIPS 2018 Continuous Adaptation via Meta-Learning in Nonstationary and Competitive Environments ICLR 2018 Data-Driven Clustering via Parameterized Lloyd's Families NeurIPS 2018 DiCE: The Infinitely Differentiable Monte Carlo Estimator ICML 2018