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Supplementary Material - AL2: Progressive Activation Loss for Learning General Representations in Classification Neural Networks

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A new variable shape parameter strategy for RBF approximation using neural networks

Incremental Learning in Diagonal Linear Networks

Towards Stable and Efficient Adversarial Training against $l_1$ Bounded Adversarial Attacks

Power Transformer Fault Diagnosis Using Neural Network Optimization Techniques

Source-Free Open-Set Domain Adaptation for Histopathological Images via Distilling Self-Supervised Vision Transformer

Visual question answering from another perspective: CLEVR mental rotation tests *

AIFORE: Smart Fuzzing Based on Automatic Input Format Reverse Engineering

Accelerated deep self-supervised ptycho-laminography for three-dimensional nanoscale imaging of integrated circuits

Robust direct acoustic impedance control using two microphones for mixed feedforward-feedback controller

The influence of splitter blades and meridional profiles on the performance of small-scale turbopumps for ORC applications; analysis, neural network modeling and optimization

A new variable shape parameter strategy for RBF approximation using neural networks

Source-Free Open-Set Domain Adaptation for Histopathological Images via Distilling Self-Supervised Vision Transformer

Power Transformer Fault Diagnosis Using Neural Network Optimization Techniques

AIFORE: Smart Fuzzing Based on Automatic Input Format Reverse Engineering

Robust direct acoustic impedance control using two microphones for mixed feedforward-feedback controller

Visual question answering from another perspective: CLEVR mental rotation tests *

Accelerated deep self-supervised ptycho-laminography for three-dimensional nanoscale imaging of integrated circuits

The influence of splitter blades and meridional profiles on the performance of small-scale turbopumps for ORC applications; analysis, neural network modeling and optimization

Incremental Learning in Diagonal Linear Networks

Towards Stable and Efficient Adversarial Training against $l_1$ Bounded Adversarial Attacks