Learning Paradigms

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 Teacher algorithms for curriculum learning of Deep RL in continuously parameterized environments CoRL 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 Transferable Curriculum for Weakly-Supervised Domain Adaptation AAAI 2019 Two-stage Federated Phenotyping and Patient Representation Learning ACL 2019 Unsupervised Meta-Learning for Few-Shot Image Classification NeurIPS 2019 Unsupervised Meta-Learning of Figure-Ground Segmentation via Imitating Visual Effects AAAI 2019 A Delay-tolerant Proximal-Gradient Algorithm for Distributed Learning ICML 2018 Automatic Goal Generation for Reinforcement Learning Agents ICML 2018 Bayesian Model-Agnostic Meta-Learning NeurIPS 2018 Benefits of over-parameterization with EM NeurIPS 2018 Communication Compression for Decentralized Training NeurIPS 2018 Continuous Adaptation via Meta-Learning in Nonstationary and Competitive Environments ICLR 2018 cpSGD: Communication-efficient and differentially-private distributed SGD NeurIPS 2018 Curriculum Learning Based on Reward Sparseness for Deep Reinforcement Learning of Task Completion Dialogue Management EMNLP 2018 Curriculum Learning by Transfer Learning: Theory and Experiments with Deep Networks ICML 2018 Data-Driven Clustering via Parameterized Lloyd's Families NeurIPS 2018 DiCE: The Infinitely Differentiable Monte Carlo Estimator ICML 2018