Artificial neural networks and machine learning -- ICANN 2021 : 30th International Conference on Artificial Neural Networks, Bratislava, Slovakia, September 14-17, 2021, Proceedings. Part IV / Igor Farkaš, Paolo Masulli, Sebastian Otte, Stefan Wermter (eds.).

Model compression
Blending Pruning Criteria for Convolutional Neural Networks
BFRIFP: Brain Functional Reorganization Inspired Filter Pruning
CupNet
Pruning a network for geometric data
Pruned-YOLO: Learning Efficient Object Detector Using Model Pruning
Gator: Customizable Channel Pruning of Neural Networks with Gating
Multi-task and multi-label learning
MMF: Multi-Task Multi-Structure Fusion for Hierarchical Image Classification
GLUNet: Global-Local Fusion U-Net for 2D Medical Image Segmentation
Textbook Question Answering with Multi-type Question Learning and Contextualized Diagram Representation
A Multi-Task MRC Framework for Chinese Emotion Cause and Experiencer Extraction
Fairer Machine Learning Through Multi-objective Evolutionary Learning
Neural network theory
Single neurons with delay-based learning can generalise between time-warped patterns
Estimating Expected Calibration Errors
LipBAB: Computing exact Lipschitz constant of ReLU networks
Nonlinear Lagrangean Neural Networks
Normalization and Regularization Methods
Energy Conservation in Infinitely Wide Neural-Networks
Class-Similarity Based Label Smoothing for Confidence Calibration
Jacobian Regularization for Mitigating Universal Adversarial Perturbations
Layer-wise Activation Cluster Analysis of CNNs to Detect Out-of-Distribution Samples
Weight and Gradient Centralization in Deep Neural Networks
LocalNorm: Robust Image Classification through Dynamically Regularized Normalization
Channel Capacity of Neural Networks
RIAP: A method for Effective Receptive Field Rectification
Curriculum Learning Revisited: Incremental Batch Learning with Instance Typicality Ranking
Person re-identification
Interesting Receptive Region and Feature Excitation for Partial Person Re-Identification
Improved Occluded Person Re-Identification with Multi-feature Fusion
Joint Weights-averaged and Feature-separated Learning for Person Re-identification
Semi-Hard Margin Support Vector Machines for Personal Authentication with an Aerial Signature Motion.-Recurrent neural networks
Dynamic identification of stop locations from GPS trajectories based on their temporal and spatial characteristics
Separation of Memory and Processing in Dual Recurrent Neural Networks
Predicting Landfall's Location and Time of a Tropical Cyclone Using Reanalysis Data
Latent State Inference in a Spatiotemporal Generative Model
Deep learning models and interpretations for multivariate discrete-valued event sequence prediction
End-to-End On-Line Multi-Object Tracking on Sparse Point Clouds Using Recurrent Convolutional Networks
M-ary Hopfield Neural Network based Associative Memory Formulation: Limit-cycle based Sequence Storage and Retrieval
Training Many-to-Many Recurrent Neural Networks with Target Propagation
Early Recognition of Ball Catching Success in Clinical Trials with RNN-Based Predictive Classification
Precise temporal P300 detection in Brain Computer Interface EEG signals using a Long-Short Term Memory
Noise Quality and Super-Turing Computation in Recurrent Neural Networks
Reinforcement learning I
Learning to Plan via a Multi-Step Policy Regression Method
Behaviour-conditioned policies for cooperative reinforcement learning tasks
Integrated Actor-Critic for Deep Reinforcement Learning
Learning to Assist Agents by Observing Them
Reinforcement Syntactic Dependency Tree Reasoning for Target-Oriented Opinion Word Extraction
Learning distinct strategies for heterogeneous cooperative multi-agent reinforcement learning
MAT-DQN: Toward Interpretable Multi-Agent Deep Reinforcement Learning for Coordinated Activities
Selection-Expansion: a unifying framework for motion-planning and diversity search algorithms
A Hand Gesture Recognition System using EMG and Reinforcement Learning: a Q-Learning Approach
Reinforcement learning II
Reinforcement learning for the privacy preservation and manipulation of eye tracking data
Reinforcement Symbolic Learning
Deep Reinforcement Learning for Job Scheduling on Cluster
Independent Deep Deterministic Policy Gradient Reinforcement Learning in Cooperative Multiagent Pursuit Games
Avoid Overfitting in Deep Reinforcement Learning: Increasing Robustness through Decentralized Control
Advances in Adaptive Skill Acquisition
Aspect-Based Sentiment Classification with Reinforcement Learning and Local Understanding
Latent dynamics for artefact-free character animation via data-driven reinforcement learning
Intrinsic Motivation Model Based on Reward Gating.