Framework for benchmarking black-box adversarial attacks, modeled with ES.
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Updated
May 4, 2023 - Python
Framework for benchmarking black-box adversarial attacks, modeled with ES.
Generalisation of electrical models of neurons with MCMC
Code from the article: "Lost in Latent Space: Examining Failures of Disentangled Models at Combinatorial Generalisaton" (NeurIPS, 2022)
LatentAugment, is a new data augmentation method for training any deep models. It navigates GAN's latent space to increase the diversity and quality of generated samples and enhance their effectiveness for DA purposes.
Label smoothed Aggregation cross entropy loss for generalisation in sequence to sequence tasks.
The official repository for our paper "The Neural Data Router: Adaptive Control Flow in Transformers Improves Systematic Generalization".
Figures & code from the paper "Shortcut Learning in Deep Neural Networks" (Nature Machine Intelligence 2020)
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