ERD

Robustness to adversarial examples can be improved with overfitting

Project: Bonseyes

Updated at: 29-04-2024

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Project acronym Bonseyes

IoT meets distributed AI - Deployment scenarios of Bonseyes AI applications on FIWARE

Project: Bonseyes

Updated at: 29-04-2024

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How to train your MAML

Project: Bonseyes

Updated at: 29-04-2024

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BONSEYES - Platform for Open Development of Systems of Artificial Intelligence: Invited paper

Project: Bonseyes

Updated at: 29-04-2024

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Project acronym Bonseyes

Parallel Multi Channel convolution using General Matrix Multiplication

Project: Bonseyes

Updated at: 29-04-2024

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Project acronym Bonseyes

Flexible Privacy and High Trust in the Next Generation Internet - The Use Case of a Cloud-based Marketplace for AI

Project: Bonseyes

Updated at: 29-04-2024

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Project acronym Bonseyes

Demonstrator Proof of Concepts

Project: Bonseyes

Updated at: 29-04-2024

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Website

Project: Bonseyes

Updated at: 29-04-2024

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Augmenting Image Classifiers Using Data Augmentation Generative Adversarial Networks

Project: Bonseyes

Updated at: 29-04-2024

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Privacy and DRM Requirements for Collaborative Development of AI Applications

Project: Bonseyes

Updated at: 29-04-2024

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Project acronym Bonseyes

Framework for Analysis of Multi-party Collaboration

Project: Bonseyes

Updated at: 29-04-2024

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Project acronym Bonseyes

On the Relation Between the Sharpest Directions of DNN Loss and the SGD Step Length

Project: Bonseyes

Updated at: 29-04-2024

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Project acronym Bonseyes

Distilling with Performance Enhanced Students

Project: Bonseyes

Updated at: 29-04-2024

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Project acronym Bonseyes

Designing a Secure IoT System Architecture from a Virtual Premise for a Collaborative AI Lab

Project: Bonseyes

Updated at: 29-04-2024

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Project acronym Bonseyes

DNN's Sharpest Directions Along the SGD Trajectory

Project: Bonseyes

Updated at: 29-04-2024

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Three Factors Influencing Minima in SGD

Project: Bonseyes

Updated at: 29-04-2024

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Towards Secure Collaborative AI Service Chains

Project: Bonseyes

Updated at: 29-04-2024

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Scalar Arithmetic Multiple Data: Customizable Precision for Deep Neural Networks

Project: Bonseyes

Updated at: 29-04-2024

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Project acronym Bonseyes

Performance Aware Convolutional Neural Network Channel Pruning for Embedded GPUs

Project: Bonseyes

Updated at: 29-04-2024

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Project acronym Bonseyes

BlockSwap: Fisher-guided Block Substitution for Network Compression on a Budget

Project: Bonseyes

Updated at: 29-04-2024

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Project acronym Bonseyes

Distributed Ledger for Provenance Tracking of Artificial Intelligence Assets

Project: Bonseyes

Updated at: 29-04-2024

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Project acronym Bonseyes

RecNets: Channel-wise Recurrent Convolutional Neural Networks

Project: Bonseyes

Updated at: 29-04-2024

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Performance-Oriented Neural Architecture Search

Project: Bonseyes

Updated at: 29-04-2024

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QUENN - QUantization engine for low-power neural networks

Project: Bonseyes

Updated at: 29-04-2024

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Project acronym Bonseyes

Characterising Across-Stack Optimisations for Deep Convolutional Neural Networks

Project: Bonseyes

Updated at: 29-04-2024

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Project acronym Bonseyes

Width of Minima Reached by Stochastic Gradient Descent is Influenced by Learning Rate to Batch Size Ratio

Project: Bonseyes

Updated at: 29-04-2024

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Project acronym Bonseyes

Artifact Compatibility for Enabling Collaboration in the Artificial Intelligence Ecosystem

Project: Bonseyes

Updated at: 29-04-2024

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Project acronym Bonseyes

AI Pipeline - bringing AI to you. End-to-end integration of data, algorithms and deployment tools

Project: Bonseyes

Updated at: 29-04-2024

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Project acronym Bonseyes

Learning to infer: RL-based search for DNN primitive selection on Heterogeneous Embedded Systems

Project: Bonseyes

Updated at: 29-04-2024

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Project acronym Bonseyes

Assume, Augment and Learn: Unsupervised Few-Shot Meta-Learning via Random Labels and Data Augmentation

Project: Bonseyes

Updated at: 29-04-2024

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Project acronym Bonseyes

Resources

Selected filters:

Robustness to adversarial examples can be improved with overfitting

IoT meets distributed AI - Deployment scenarios of Bonseyes AI applications on FIWARE

How to train your MAML

BONSEYES - Platform for Open Development of Systems of Artificial Intelligence: Invited paper

Parallel Multi Channel convolution using General Matrix Multiplication

Flexible Privacy and High Trust in the Next Generation Internet - The Use Case of a Cloud-based Marketplace for AI

Demonstrator Proof of Concepts

Website

Augmenting Image Classifiers Using Data Augmentation Generative Adversarial Networks

Privacy and DRM Requirements for Collaborative Development of AI Applications

Framework for Analysis of Multi-party Collaboration

On the Relation Between the Sharpest Directions of DNN Loss and the SGD Step Length

Distilling with Performance Enhanced Students

Designing a Secure IoT System Architecture from a Virtual Premise for a Collaborative AI Lab

DNN's Sharpest Directions Along the SGD Trajectory

Three Factors Influencing Minima in SGD

Towards Secure Collaborative AI Service Chains

Scalar Arithmetic Multiple Data: Customizable Precision for Deep Neural Networks

Performance Aware Convolutional Neural Network Channel Pruning for Embedded GPUs

BlockSwap: Fisher-guided Block Substitution for Network Compression on a Budget

Distributed Ledger for Provenance Tracking of Artificial Intelligence Assets

RecNets: Channel-wise Recurrent Convolutional Neural Networks

Performance-Oriented Neural Architecture Search

QUENN - QUantization engine for low-power neural networks

Characterising Across-Stack Optimisations for Deep Convolutional Neural Networks

Width of Minima Reached by Stochastic Gradient Descent is Influenced by Learning Rate to Batch Size Ratio

Artifact Compatibility for Enabling Collaboration in the Artificial Intelligence Ecosystem

AI Pipeline - bringing AI to you. End-to-end integration of data, algorithms and deployment tools

Learning to infer: RL-based search for DNN primitive selection on Heterogeneous Embedded Systems

Assume, Augment and Learn: Unsupervised Few-Shot Meta-Learning via Random Labels and Data Augmentation