Artificial Neural Networks and Machine Learning – ICANN 2019: Deep Learning

CancelOut: A Layer for Feature Selection in Deep Neural Networks

Pages 72-83

Borisov, Vadim (et al.)

Adaptive-$$L_2$$ Batch Neural Gas

Pages 84-95

Cavalcanti, Nicomedes L., Jr. (et al.)

Application of Self Organizing Map to Preprocessing Input Vectors for Convolutional Neural Network

Pages 96-100

Dozono, Hiroshi (et al.)

Hierarchical Reinforcement Learning with Unlimited Recursive Subroutine Calls

Pages 103-114

Ichisugi, Yuuji (et al.)

Automatic Augmentation by Hill Climbing

Pages 115-124

Cruz, Ricardo (et al.)

Learning Camera-Invariant Representation for Person Re-identification

Pages 125-137

Qin, Shizheng (et al.)

PA-RetinaNet: Path Augmented RetinaNet for Dense Object Detection

Pages 138-149

Tan, Guanghua (et al.)

Singular Value Decomposition and Neural Networks

Pages 153-164

Bermeitinger, Bernhard (et al.)

PCI: Principal Component Initialization for Deep Autoencoders

Pages 165-169

Suzuki, Aiga (et al.)

Improving Weight Initialization of ReLU and Output Layers

Pages 170-184

Aguirre, Diego (et al.)

Post-synaptic Potential Regularization Has Potential

Pages 187-200

Tartaglione, Enzo (et al.)

A Novel Modification on the Levenberg-Marquardt Algorithm for Avoiding Overfitting in Neural Network Training

Pages 201-207

Iplikci, Serdar (et al.)

Sign Based Derivative Filtering for Stochastic Gradient Descent

Pages 208-219

Berestizshevsky, Konstantin (et al.)

Architecture-Aware Bayesian Optimization for Neural Network Tuning

Pages 220-231

Sjöberg, Anders (et al.)

Non-convergence and Limit Cycles in the Adam Optimizer

Pages 232-243

Bock, Sebastian (et al.)

Learning Internal Dense But External Sparse Structures of Deep Convolutional Neural Network

Pages 247-262

Duan, Yiqun (et al.)

Using Feature Entropy to Guide Filter Pruning for Efficient Convolutional Networks

Pages 263-274

Li, Yun (et al.)

Simultaneously Learning Architectures and Features of Deep Neural Networks

Pages 275-287

Wang, Tinghuai (et al.)

Learning Sparse Hidden States in Long Short-Term Memory

Pages 288-298

Yu, Niange (et al.)

Multi-objective Pruning for CNNs Using Genetic Algorithm

Pages 299-305

Yang, Chuanguang (et al.)

Dynamically Sacrificing Accuracy for Reduced Computation: Cascaded Inference Based on Softmax Confidence

Pages 306-320

Berestizshevsky, Konstantin (et al.)

Light-Weight Edge Enhanced Network for On-orbit Semantic Segmentation

Pages 321-333

Hu, Junxing (et al.)

Local Normalization Based BN Layer Pruning

Pages 334-346

Liu, Yuan (et al.)

On Practical Approach to Uniform Quantization of Non-redundant Neural Networks

Pages 349-360

Goncharenko, Alexander (et al.)

Residual Learning for FC Kernels of Convolutional Network

Pages 361-372

Alexeev, Alexey (et al.)

A Novel Neural Network-Based Symbolic Regression Method: Neuro-Encoded Expression Programming

Pages 373-386

Anjum, Aftab (et al.)

Compute-Efficient Neural Network Architecture Optimization by a Genetic Algorithm

Pages 387-392

Litzinger, Sebastian (et al.)

Controlling Model Complexity in Probabilistic Model-Based Dynamic Optimization of Neural Network Structures

Pages 393-405

Saito, Shota (et al.)

Predictive Uncertainty Estimation with Temporal Convolutional Networks for Dynamic Evolutionary Optimization

Pages 409-421

Meier, Almuth (et al.)

Sparse Recurrent Mixture Density Networks for Forecasting High Variability Time Series with Confidence Estimates

Pages 422-433

Gugulothu, Narendhar (et al.)

A Multitask Learning Neural Network for Short-Term Traffic Speed Prediction and Confidence Estimation

Pages 434-449

Tao, Yanyun (et al.)

Central-Diffused Instance Generation Method in Class Incremental Learning

Pages 453-465

Liu, Mingyu (et al.)

Marginal Replay vs Conditional Replay for Continual Learning

Pages 466-480

Lesort, Timothée (et al.)

Simplified Computation and Interpretation of Fisher Matrices in Incremental Learning with Deep Neural Networks

Pages 481-494

Gepperth, Alexander (et al.)

Active Learning for Image Recognition Using a Visualization-Based User Interface

Pages 495-506

Limberg, Christian (et al.)

Basic Evaluation Scenarios for Incrementally Trained Classifiers

Pages 507-517

Szadkowski, Rudolf (et al.)

Embedding Complexity of Learned Representations in Neural Networks

Pages 518-528

Kuzma, Tomáš (et al.)

Joint Metric Learning on Riemannian Manifold of Global Gaussian Distributions

Pages 531-542

Nie, Qinqin (et al.)

Multi-task Sparse Regression Metric Learning for Heterogeneous Classification

Pages 543-553

Wu, Haotian (et al.)

Fast Approximate Geodesics for Deep Generative Models

Pages 554-566

Chen, Nutan (et al.)

Spatial Attention Network for Few-Shot Learning

Pages 567-578

He, Xianhao (et al.)

Routine Modeling with Time Series Metric Learning

Pages 579-592

Compagnon, Paul (et al.)

Leveraging Domain Knowledge for Reinforcement Learning Using MMC Architectures

Pages 595-607

Ramamurthy, Rajkumar (et al.)

Conditions for Unnecessary Logical Constraints in Kernel Machines

Pages 608-620

Giannini, Francesco (et al.)

HiSeqGAN: Hierarchical Sequence Synthesis and Prediction

Pages 621-638

Tien, Yun-Chieh (et al.)

DeepEX: Bridging the Gap Between Knowledge and Data Driven Techniques for Time Series Forecasting

Pages 639-651

Chattha, Muhammad Ali (et al.)

Transferable Adversarial Cycle Alignment for Domain Adaption

Pages 655-672

Wei, Yingcan

Evaluation of Domain Adaptation Approaches for Robust Classification of Heterogeneous Biological Data Sets

Pages 673-686

Schneider, Michael (et al.)

Named Entity Recognition for Chinese Social Media with Domain Adversarial Training and Language Modeling

Pages 687-699

Xu, Yong (et al.)

Deep Domain Knowledge Distillation for Person Re-identification

Pages 700-713

Yan, Junjie

A Study on Catastrophic Forgetting in Deep LSTM Networks

Pages 714-728

Schak, Monika (et al.)

A Label-Specific Attention-Based Network with Regularized Loss for Multi-label Classification

Pages 731-742

Luo, Xiangyang (et al.)

An Empirical Study of Multi-domain and Multi-task Learning in Chinese Named Entity Recognition

Pages 743-754

Hu, Yun (et al.)

Filter Method Ensemble with Neural Networks

Pages 755-765

Chakraborty, Anuran (et al.)

Dynamic Centroid Insertion and Adjustment for Data Sets with Multiple Imbalanced Classes

Pages 766-778

Silva, Evandro J. R. (et al.)

Increasing the Generalisaton Capacity of Conditional VAEs

Pages 779-791

Klushyn, Alexej (et al.)

Playing the Large Margin Preference Game

Pages 792-804

Polato, Mirko (et al.)