Artificial Neural Networks and Machine Learning - ICANN 2020 : 29th International Conference on Artificial Neural Networks, Bratislava, Slovakia, September 15-18, 2020, Proceedings, Part II /
The proceedings set LNCS 12396 and 12397 constitute the proceedings of the 29th International Conference on Artificial Neural Networks, ICANN 2020, held in Bratislava, Slovakia, in September 2020.* The total of 139 full papers presented in these proceedings was carefully reviewed and selected from 2...
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| Other Authors: | , , |
| Format: | eBook |
| Language: | English |
| Published: |
Cham :
Springer International Publishing : Imprint: Springer,
2020.
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| Edition: | 1st ed. 2020. |
| Series: | Theoretical Computer Science and General Issues ;
12397 |
| Subjects: | |
| Online Access: | Connect to the full text of this electronic book |
Table of Contents:
- Model Compression I
- Fine-grained Channel Pruning for Deep Residual Neural Networks
- A Lightweight Fully Convolutional Neural Network of High Accuracy Surface Defect Detection
- Detecting Uncertain BNN Outputs on FPGA Using Monte Carlo Dropout Sampling
- Neural network compression via learnable wavelet transforms
- Fast and Robust Compression of Deep Convolutional Neural Networks
- Model Compression II
- Pruning artificial neural networks: a way to find well-generalizing, high-entropy sharp minima
- Log-Nets: Logarithmic Feature-Product Layers Yield More Compact Networks
- Tuning Deep Neural Network's hyperparameters constrained to deployability on tiny systems
- Obstacles to Depth Compression of Neural Networks
- Multi-task and Multi-label Learning
- Multi-Label Quadruplet Dictionary Learning
- Pareto Multi-Task Deep Learning
- Convex Graph Laplacian Multi-Task Learning SVM
- Neural Network Theory and Information Theoretic Learning
- Prediction Stability as a Criterion in Active Learning
- Neural Spectrum Alignment: Empirical Study
- Nonlinear, Nonequilibrium Landscape Approach to Neural Network Dynamics
- Hopfield Networks for Vector Quantization
- Prototype-Based Online Learning on Homogeneously Labeled Streaming Data
- Normalization and Regularization Methods
- Neural Network Training with Safe Regularization in the Null Space of Batch Activations
- The Effect of Batch Normalization in the Symmetric Phase
- Regularized Pooling
- Reinforcement Learning I
- Deep Recurrent Deterministic Policy Gradient for Physical Control
- Exploration via Progress-Driven Intrinsic Rewards
- An improved reinforcement learning based heuristic dynamic programming algorithm for model-free optimal control
- PBCS: Efficient Exploration and Exploitation Using a Synergy between Reinforcement Learning and Motion Planning
- Understanding failures of deterministic actor-critic with continuous action spaces and sparse rewards
- Reinforcement Learning II
- GAN-based Planning Model in Deep Reinforcement Learning
- Guided Reinforcement Learning via Sequence Learning
- Neural Machine Translation based on Improved Actor-Critic Method
- Neural Machine Translation based on Prioritized Experience Replay
- Improving Multi-Agent Reinforcement Learning with Imperfect Human Knowledge
- Reinforcement Learning III
- Adaptive Skill Acquisition in Hierarchical Reinforcement Learning
- Social Navigation with Human Empowerment driven Deep Reinforcement Learning
- Curious Hierarchical Actor-Critic Reinforcement Learning
- Policy Entropy for Out-of-Distribution Classification
- Reservoir Computing
- Analysis of reservoir structure contributing to robustness against structural failure of Liquid State Machine
- Quantifying robustness and capacity of reservoir computers with consistency profiles
- Two-Step FORCE Learning Algorithm for Fast Convergence in Reservoir Computing
- Morphological Computation of Skin Focusing on Fingerprint Structure
- Time Series Clustering with Deep Reservoir Computing
- ReservoirPy: an Efficient and User-Friendly Library to Design Echo State Networks
- Robotics and Neural Models of Perception and Action
- Adaptive, Neural Robot Control - Path Planning on 3D Spiking Neural Networks
- CABIN: A Novel Cooperative Attention Based Location Prediction Network Using Internal-External Trajectory Dependencies
- Neuro-Genetic Visuomotor Architecture for Robotic Grasping
- From Geometries to Contact Graphs
- Sentiment Classification
- Structural Position Network for Aspect-based Sentiment Classification
- Cross-Domain Sentiment Classification using Topic Attention and Dual-Task Adversarial Training
- Data Augmentation for Sentiment Analysis in English - the Online Approach
- Spiking Neural Networks I
- Dendritic computation in a point neuron model.
- Benchmarking Deep Spiking Neural Networks on Neuromorphic Hardware
- Unsupervised Learning of Spatio-Temporal Receptive Fields from an Event-Based Vision Sensor
- Spike-Train Level Unsupervised Learning Algorithm for Deep Spiking Belief Networks
- Spiking Neural Networks II
- Modelling Neuromodulated Information Flow and Energetic Consumption at Thalamic Relay Synapses
- Learning Precise Spike Timings with Eligibility Traces
- Meta-STDP rule stabilizes synaptic weights under in vivo-like ongoing spontaneous activity in a computational model of CA1 pyramidal cell
- Adaptive Chemotaxis for improved Contour Tracking using Spiking Neural Networks
- Text Understanding I
- Mental Imagery-Driven Neural Network to Enhance Representation for Implicit Discourse Relation Recognition
- Adaptive Convolution Kernel for Text Classification via Multi-Channel Representations
- Text generation in discrete space
- Short text processing for analyzing user portraits: A dynamic combination
- Text Understanding II
- A Hierarchical Fine-Tuning Approach Based on Joint Embedding of Words and Parent Categories for Hierarchical Multi-label Text Classification
- Boosting Tricks for Word Mover's Distance
- Embedding Compression with Right Triangle Similarity Transformations
- Neural Networks for Detecting Irrelevant Questions during Visual Question Answering
- F-Measure Optimisation and Label Regularisation for Energy-based Neural Dialogue State Tracking Models
- Unsupervised Learning
- Unsupervised Change Detection using Joint Autoencoders for Age-Related Macular Degeneration Progression
- A fast algorithm to find Best Matching Units in Self-Organizing Maps
- Tumor Characterization using Unsupervised Learning of Mathematical Relations within Breast Cancer Data
- Balanced SAM-kNN: Online Learning with Heterogeneous Drift and Imbalanced Data
- A Rigorous Link Between Self-Organizing Maps and Gaussian Mixture Models
- Collaborative Clustering through Optimal Transport.