Optimization

Crawling the Community Structure of Multiplex Networks AAAI 2019 Curls & Whey: Boosting Black-Box Adversarial Attacks CVPR 2019 Curriculum Learning for Cumulative Return Maximization IJCAI 2019 Cyclical Annealing Schedule: A Simple Approach to Mitigating KL Vanishing NAACL 2019 DAG-GNN: DAG Structure Learning with Graph Neural Networks ICML 2019 Data Cleansing for Models Trained with SGD NeurIPS 2019 Data-dependent compression of random features for large-scale kernel approximation AISTATS 2019 Data Efficient Reinforcement Learning for Legged Robots CoRL 2019 Data-Free Quantization Through Weight Equalization and Bias Correction ICCV 2019 DBA: Dynamic Multi-Armed Bandit Algorithm AAAI 2019 Decentralized Gradient Tracking for Continuous DR-Submodular Maximization AISTATS 2019 Decision Making for Improving Maritime Traffic Safety Using Constraint Programming IJCAI 2019 Decoders Matter for Semantic Segmentation: Data-Dependent Decoding Enables Flexible Feature Aggregation CVPR 2019 Decoupled Weight Decay Regularization ICLR 2019 Decoupling Direction and Norm for Efficient Gradient-Based L2 Adversarial Attacks and Defenses CVPR 2019 Deep Bayesian Optimization on Attributed Graphs AAAI 2019 Deep Counterfactual Regret Minimization ICML 2019 Deep Frank-Wolfe For Neural Network Optimization ICLR 2019 Deep High-Resolution Representation Learning for Human Pose Estimation CVPR 2019 Deep Lagrangian Networks: Using Physics as Model Prior for Deep Learning ICLR 2019 DeepMDP: Learning Continuous Latent Space Models for Representation Learning ICML 2019 DeepMellow: Removing the Need for a Target Network in Deep Q-Learning IJCAI 2019 Deep Multi-State Dynamic Recurrent Neural Networks Operating on Wavelet Based Neural Features for Robust Brain Machine Interfaces NeurIPS 2019 Deep Neural Networks with Multi-Branch Architectures Are Intrinsically Less Non-Convex AISTATS 2019 DeepOBS: A Deep Learning Optimizer Benchmark Suite ICLR 2019