Deep Learning
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Our explanations help users more accurately reject AI'swrong decisions than all other tested methods.
Generating Diverse High-Fidelity Images with VQ-VAE-2
Ali Razavi, Aaron van den Oord, Oriol Vinyals
Neural Information Processing Systems http://nips.cc/
Universality and individuality in neural dynamics across large populations of recurrent networks
Niru Maheswaranathan, Alex Williams, Matthew Golub, Surya Ganguli, David Sussillo
Or alternatively, are the learned dynamics highly sensitiveto different model choices?
Gradient Descent for Spiking Neural Networks
Dongsung Huh, Terrence J. Sejnowski
Neural Information Processing Systems http://nips.cc/
Structure-Aware Convolutional Neural Networks
Jianlong Chang, Jie Gu, Lingfeng Wang, GAOFENG MENG, SHIMING XIANG, Chunhong Pan
Neural Information Processing Systems http://nips.cc/
