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11/09/2022
Affordance detection with Dynamic-Tree Capsule Networks
Affordance detection from visual input is a fundamental step in autonomo...
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08/01/2022
Improving the Trainability of Deep Neural Networks through Layerwise Batch-Entropy Regularization
Training deep neural networks is a very demanding task, especially chall...
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01/26/2022
Momentum Capsule Networks
Capsule networks are a class of neural networks that achieved promising ...
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05/31/2021
Greedy Layer Pruning: Decreasing Inference Time of Transformer Models
Fine-tuning transformer models after unsupervised pre-training reaches a...
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04/15/2021
Training Deep Capsule Networks with Residual Connections
Capsule networks are a type of neural network that have recently gained ...
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03/07/2021
Auto-tuning of Deep Neural Networks by Conflicting Layer Removal
Designing neural network architectures is a challenging task and knowing...
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02/23/2021
Arguments for the Unsuitability of Convolutional Neural Networks for Non–Local Tasks
Convolutional neural networks have established themselves over the past ...
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11/05/2020
Conflicting Bundles: Adapting Architectures Towards the Improved Training of Deep Neural Networks
Designing neural network architectures is a challenging task and knowing...
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05/21/2019
Limitations of routing-by-agreement based capsule networks
Classical neural networks add a bias term to the sum of all weighted inp...
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12/23/2018
