Learning Paradigms

Assisted Excitation of Activations: A Learning Technique to Improve Object Detectors CVPR 2019 AutoLoss: Learning Discrete Schedule for Alternate Optimization ICLR 2019 Bayesian Functional Optimisation with Shape Prior AAAI 2019 Blending-Target Domain Adaptation by Adversarial Meta-Adaptation Networks CVPR 2019 Can Meta-Interpretive Learning outperform Deep Reinforcement Learning of Evaluable Game strategies? IJCAI 2019 Collective Online Learning of Gaussian Processes in Massive Multi-Agent Systems AAAI 2019 Communication-Efficient Distributed Learning via Lazily Aggregated Quantized Gradients NeurIPS 2019 Comparing Sample-Wise Learnability across Deep Neural Network Models AAAI 2019 Compositional generalization through meta sequence-to-sequence learning NeurIPS 2019 Confidence Scoring Using Whitebox Meta-models with Linear Classifier Probes AISTATS 2019 Coupling Retrieval and Meta-Learning for Context-Dependent Semantic Parsing ACL 2019 Cross Attention Network for Few-shot Classification NeurIPS 2019 CURIOUS: Intrinsically Motivated Modular Multi-Goal Reinforcement Learning ICML 2019 Data Parameters: A New Family of Parameters for Learning a Differentiable Curriculum NeurIPS 2019 Differentially Private Distributed Data Summarization under Covariate Shift NeurIPS 2019 Discovery of Useful Questions as Auxiliary Tasks NeurIPS 2019 Efficient Meta Learning via Minibatch Proximal Update NeurIPS 2019 Embarrassingly Parallel Inference for Gaussian Processes JMLR 2019 Fall of Empires: Breaking Byzantine-tolerant SGD by Inner Product Manipulation UAI 2019 Fast and Flexible Multi-Task Classification using Conditional Neural Adaptive Processes NeurIPS 2019 Feature-Critic Networks for Heterogeneous Domain Generalization ICML 2019 Few-Shot Learning With Localization in Realistic Settings CVPR 2019 Few-Shot Representation Learning for Out-Of-Vocabulary Words ACL 2019 GumDrop at the DISRPT2019 Shared Task: A Model Stacking Approach to Discourse Unit Segmentation and Connective Detection NAACL 2019 HyperAdam: A Learnable Task-Adaptive Adam for Network Training AAAI 2019