2021.11.15 Neural papers

11-10-2021	Multi-Objective Optimization for Value-Sensitive and Sustainable Basket Recommendations by Thomas Asikis
11-12-2021	deepstruct -- linking deep learning and graph theory by Julian Stier et al
11-09-2021	Tackling Morphological Analogies Using Deep Learning -- Extended Version by Safa Alsaidi et al
11-11-2021	Reducing Data Complexity using Autoencoders with Class-informed Loss Functions by David Charte et al
11-12-2021	One model Packs Thousands of Items with Recurrent Conditional Query Learning by Dongda Li et al
11-12-2021	A Spiking Neuron Synaptic Plasticity Model Optimized for Unsupervised Learning by Mikhail Kiselev
11-11-2021	Poisoning Knowledge Graph Embeddings via Relation Inference Patterns by Peru Bhardwaj et al
11-11-2021	Does the Brain Infer Invariance Transformations from Graph Symmetries? by Helmut Linde
11-09-2021	ResNEsts and DenseNEsts: Block-based DNN Models with Improved Representation Guarantees by Kuan-Lin Chen et al
11-09-2021	An effective hybrid search algorithm for the multiple traveling repairman problem with profits by Jintong Ren et al
11-12-2021	Guided Sampling-based Evolutionary Deep Neural Network for Intelligent Fault Diagnosis by Arun K. Sharma et al