Arguably, the problem of learning represents a gateway to understanding intelligence in brains and machines, to discovering how the human brain works and to making intelligent machines that learn from ...

Department of Physical Therapy, Faculty of Health Sciences, Hokkaido University of Science, Sapporo, Hokkaido, Japan Although previous studies have suggested that motor adaptation through motor ...

1 Atlanta Veterans Affairs Medical Center, Mental Health Service Line, Decatur, GA, USA 2 Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, GA, USA ...

This paper revisits the robust overfitting phenomenon of adversarial training. Observing that models with better robust generalization performance are less certain in predicting adversarially ...

This valuable study shows that combining reactivation-based training with anodal tDCS yields an unusually broad generalization of visual perceptual learning, while preserving robust learning gains and ...

run celebA_to_torch.py to preprocess images before training run main.py which calls the trainer.py to train a denoiser. Deep neural networks (DNNs) trained for image denoising are able to generate ...