What do deep neural networks "forget"?
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Updated
Apr 22, 2020 - JavaScript
What do deep neural networks "forget"?
Robust Mini-batch Gradient Descent models
This repository includes the R code used for the project "Investigating robust partitional clustering methods", written by Efthymios Costa. The project is supervised by Dr. Ioanna Papatsouma (Imperial College London) and co-supervised by Professor Alastair Young (Imperial College London).
Paper Summary for Relations between Trustworthy AI Concepts
Simple math project about how designing robust and reliable paper helicopters.
Matlab scripts for implementing different stochastic methods
Digital immortalisation of many hours of my life solving regular bioinformatic problems.
CUDA implementation of the best model in the Robust Mini-batch Gradient Descent repo
This project Implements the paper “Causal Adversarial Perturbations for Individual Fairness and Robustness in Heterogeneous Data Spaces” using the Python language.
a CLI that provides a generic automation layer for assessing the security of ML models
Applying econometric analyses based on a videogame consoles dataset, using statistical software (Stata) and evaluate the results.
algorithms for resilient consensus and coordination of multi-agent systems with intermittent communication
Accompanying repository of our paper "Kamp, J., Beinborn, L., Fokkens, A. (2022). Perturbations and Subpopulations for Testing Robustness in Token-Based Argument Unit Recognition."
Tunable sorting for responsive robustness and beyond!
A web app to record daily sales information of your bussiness.
Evaluate robustness of image processing algorithms
A master thesis report "Optimizing Web Extraction Queries For Robustness"
Finding label errors in datasets and learning with noisy labels.
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