Learning Paradigms

Differentiable plasticity: training plastic neural networks with backpropagation ICML 2018 Differentially Private Matrix Completion Revisited ICML 2018 Distributed Learning without Distress: Privacy-Preserving Empirical Risk Minimization NeurIPS 2018 Distributed Primal-Dual Optimization for Non-uniformly Distributed Data IJCAI 2018 Distributed Self-Paced Learning in Alternating Direction Method of Multipliers IJCAI 2018 Diverse Ensemble Evolution: Curriculum Data-Model Marriage NeurIPS 2018 Effective Crowdsourcing for a New Type of Summarization Task NAACL 2018 Few-shot Autoregressive Density Estimation: Towards Learning to Learn Distributions ICLR 2018 Few-Shot Goal Inference for Visuomotor Learning and Planning CoRL 2018 Gradient-Based Meta-Learning with Learned Layerwise Metric and Subspace ICML 2018 Language Modeling for Code-Mixing: The Role of Linguistic Theory based Synthetic Data ACL 2018 Learning by Asking Questions CVPR 2018 Learning to Explore via Meta-Policy Gradient ICML 2018 Learning To Learn Around A Common Mean NeurIPS 2018 Learning to Learn Semantic Parsers from Natural Language Supervision EMNLP 2018 Learning to Reweight Examples for Robust Deep Learning ICML 2018 Lifelong Domain Word Embedding via Meta-Learning IJCAI 2018 Long short-term memory and Learning-to-learn in networks of spiking neurons NeurIPS 2018 Low-Shot Learning From Imaginary Data CVPR 2018 Machine Theory of Mind ICML 2018 Master-Slave Curriculum Design for Reinforcement Learning IJCAI 2018 MetaGAN: An Adversarial Approach to Few-Shot Learning NeurIPS 2018 Meta-Gradient Reinforcement Learning NeurIPS 2018 Meta-Learning and Universality: Deep Representations and Gradient Descent can Approximate any Learning Algorithm ICLR 2018 Meta-Learning for Low-Resource Neural Machine Translation EMNLP 2018