figure 2
Neural Networks Trained to Solve Differential Equations Learn General Representations
Martin Magill, Faisal Qureshi, Hendrick de Haan
Neural Information Processing Systems http://nips.cc/
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Rewarded soups: towards Pareto-optimal alignment by interpolating weights fine-tuned on diverse rewards
Project lead, main contributor, correspondence to alexandre.rame@isir.upmc.fr. Equal experimental contribution, order determined at random. Further information and resources related to this project can be found on this website.
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Benchmarking the Attribution Quality of Vision Models Robin Hesse 1 Simone Schaub-Meyer 1,2 Stefan Roth 1,2 1 Department of Computer Science, Technical University of Darmstadt
Attribution maps are one of the most established tools to explain the functioning of computer vision models. They assign importance scores to input features, indicating how relevant each feature is for the prediction of a deep neural network.
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1 Appendix 1 Bayes-by-backprop The Bayesian posterior neural network distribution P (w |D) is approximated
In Algorithm 1 we give the full clustering algorithm used for each of the T fixing iterations. In Figure 1 we show how the layers' In Figure 2 we show the impact of increasing the regularisation strength.
