Artificial Neural Networks and Machine Learning – ICANN 2020

Table of Contents

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   Book Overview
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   Chapter 1 Fine-Grained Channel Pruning for Deep Residual Neural Networks
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   Chapter 2 A Lightweight Fully Convolutional Neural Network of High Accuracy Surface Defect Detection
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   Chapter 3 Detecting Uncertain BNN Outputs on FPGA Using Monte Carlo Dropout Sampling
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   Chapter 4 Neural Network Compression via Learnable Wavelet Transforms
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   Chapter 5 Fast and Robust Compression of Deep Convolutional Neural Networks
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   Chapter 6 Pruning Artificial Neural Networks: A Way to Find Well-Generalizing, High-Entropy Sharp Minima
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   Chapter 7 Log-Nets: Logarithmic Feature-Product Layers Yield More Compact Networks
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   Chapter 8 Tuning Deep Neural Network’s Hyperparameters Constrained to Deployability on Tiny Systems
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    Chapter 9 Obstacles to Depth Compression of Neural Networks
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    Chapter 10 Multi-label Quadruplet Dictionary Learning
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    Chapter 11 Pareto Multi-task Deep Learning
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    Chapter 12 Convex Graph Laplacian Multi-Task Learning SVM
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    Chapter 13 Prediction Stability as a Criterion in Active Learning
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    Chapter 14 Neural Spectrum Alignment: Empirical Study
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    Chapter 15 Nonlinear, Nonequilibrium Landscape Approach to Neural Network Dynamics
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    Chapter 16 Hopfield Networks for Vector Quantization
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    Chapter 17 Prototype-Based Online Learning on Homogeneously Labeled Streaming Data
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    Chapter 18 Neural Network Training with Safe Regularization in the Null Space of Batch Activations
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    Chapter 19 The Effect of Batch Normalization in the Symmetric Phase
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    Chapter 20 Regularized Pooling
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    Chapter 21 Deep Recurrent Deterministic Policy Gradient for Physical Control
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    Chapter 22 Exploration via Progress-Driven Intrinsic Rewards
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    Chapter 23 An Improved Reinforcement Learning Based Heuristic Dynamic Programming Algorithm for Model-Free Optimal Control
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    Chapter 24 PBCS : Efficient Exploration and Exploitation Using a Synergy Between Reinforcement Learning and Motion Planning
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    Chapter 25 Understanding Failures of Deterministic Actor-Critic with Continuous Action Spaces and Sparse Rewards
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    Chapter 26 GAN-Based Planning Model in Deep Reinforcement Learning
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    Chapter 27 Guided Reinforcement Learning via Sequence Learning
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    Chapter 28 Neural Machine Translation Based on Improved Actor-Critic Method
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    Chapter 29 Neural Machine Translation Based on Prioritized Experience Replay
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    Chapter 30 Improving Multi-agent Reinforcement Learning with Imperfect Human Knowledge
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    Chapter 31 Adaptive Skill Acquisition in Hierarchical Reinforcement Learning
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    Chapter 32 Social Navigation with Human Empowerment Driven Deep Reinforcement Learning
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    Chapter 33 Curious Hierarchical Actor-Critic Reinforcement Learning
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    Chapter 34 Policy Entropy for Out-of-Distribution Classification
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    Chapter 35 Analysis of Reservoir Structure Contributing to Robustness Against Structural Failure of Liquid State Machine
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    Chapter 36 Quantifying Robustness and Capacity of Reservoir Computers with Consistency Profiles
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    Chapter 37 Two-Step FORCE Learning Algorithm for Fast Convergence in Reservoir Computing
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    Chapter 38 Morphological Computation of Skin Focusing on Fingerprint Structure
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    Chapter 39 Time Series Clustering with Deep Reservoir Computing
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    Chapter 40 ReservoirPy : An Efficient and User-Friendly Library to Design Echo State Networks
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    Chapter 41 Adaptive, Neural Robot Control – Path Planning on 3D Spiking Neural Networks
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    Chapter 42 CABIN: A Novel Cooperative Attention Based Location Prediction Network Using Internal-External Trajectory Dependencies
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    Chapter 43 Neuro-Genetic Visuomotor Architecture for Robotic Grasping
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    Chapter 44 From Geometries to Contact Graphs
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    Chapter 45 Structural Position Network for Aspect-Based Sentiment Classification
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    Chapter 46 Cross-Domain Sentiment Classification Using Topic Attention and Dual-Task Adversarial Training
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    Chapter 47 Data Augmentation for Sentiment Analysis in English – The Online Approach
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    Chapter 48 Dendritic Computation in a Point Neuron Model
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    Chapter 49 Benchmarking Deep Spiking Neural Networks on Neuromorphic Hardware
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    Chapter 50 Unsupervised Learning of Spatio-Temporal Receptive Fields from an Event-Based Vision Sensor
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    Chapter 51 Spike-Train Level Unsupervised Learning Algorithm for Deep Spiking Belief Networks
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    Chapter 52 Modelling Neuromodulated Information Flow and Energetic Consumption at Thalamic Relay Synapses
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    Chapter 53 Learning Precise Spike Timings with Eligibility Traces
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    Chapter 54 Meta-STDP Rule Stabilizes Synaptic Weights Under in Vivo -like Ongoing Spontaneous Activity in a Computational Model of CA1 Pyramidal Cell
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    Chapter 55 Adaptive Chemotaxis for Improved Contour Tracking Using Spiking Neural Networks
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    Chapter 56 Mental Imagery-Driven Neural Network to Enhance Representation for Implicit Discourse Relation Recognition
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    Chapter 57 Adaptive Convolution Kernel for Text Classification via Multi-channel Representations
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    Chapter 58 Text Generation in Discrete Space
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    Chapter 59 Short Text Processing for Analyzing User Portraits: A Dynamic Combination
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    Chapter 60 A Hierarchical Fine-Tuning Approach Based on Joint Embedding of Words and Parent Categories for Hierarchical Multi-label Text Classification
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    Chapter 61 Boosting Tricks for Word Mover’s Distance
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    Chapter 62 Embedding Compression with Right Triangle Similarity Transformations
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    Chapter 63 Neural Networks for Detecting Irrelevant Questions During Visual Question Answering
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    Chapter 64 F-Measure Optimisation and Label Regularisation for Energy-Based Neural Dialogue State Tracking Models
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    Chapter 65 Unsupervised Change Detection Using Joint Autoencoders for Age-Related Macular Degeneration Progression
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    Chapter 66 A Fast Algorithm to Find Best Matching Units in Self-Organizing Maps
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    Chapter 67 Tumor Characterization Using Unsupervised Learning of Mathematical Relations Within Breast Cancer Data
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    Chapter 68 Balanced SAM-kNN: Online Learning with Heterogeneous Drift and Imbalanced Data
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    Chapter 69 A Rigorous Link Between Self-Organizing Maps and Gaussian Mixture Models
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    Chapter 70 Collaborative Clustering Through Optimal Transport