Notes for some papers I have been reading
- Stoller, Daniel, Sebastian Ewert, and Simon Dixon. "Wave-U-Net: A Multi-scale Neural Network for End-to-End Audio Source Separation." arXiv preprint arXiv:1806.03185 (2018).
- Whittington, James CR, and Rafal Bogacz. "Theories of Error Back-Propagation in the Brain." Trends in cognitive sciences (2019).
- Lluís, Francesc, Jordi Pons, and Xavier Serra, "End-To-End Music Source Separation: Is it possible in the waveform domain?." arXiv preprint arXiv:1810.12187 (2018).
- Lin, Tsung-Yi, Priya Goyal, Ross Girshick, Kaiming He, and Piotr Dollár. "Focal Loss for Dense Object Detection." In Proceedings of the IEEE international conference on computer vision, pp. 2980-2988. 2017.
- David Berthelot, Nicholas Carlini, Ian Goodfellow, Nicolas Papernot, Avital Oliver, Colin Raffel "MixMatch: A Holistic Approach to Semi-Supervised Learning"