Reading
- Article - Deep, deep trouble, EladU
- Paper - ADADELTA, An Adaptive Learning Rate MethodU
- Paper - Attention Is All You Need (2017)U
- Paper - Error bounds for approximations with deep ReLU networks, Yarotsky (2016)U
- Paper - Explaining and harnessing adversarial examples (2015)U
- Paper - Exponential expressivity in deep neural networks through transient chaos (2016)U
- Paper - Gradient-based learning applied to document recognition, LeCunU
- Paper - Optimal nonlinear approximation, DeVore (1989)U
- Paper - Representation Benefits of Deep Feedforward Networks, Telgarsky (2015)U
- Paper - When and when can deep networks avoid the curse of dimensionality, Poggio (2016)U