Hassan Dbouk, Naresh R. Shanbhag. Generalized Depthwise-Separable Convolutions for Adversarially Robust and Efficient Neural Networks. In Marc'Aurelio Ranzato, Alina Beygelzimer, Yann N. Dauphin, Percy Liang, Jennifer Wortman Vaughan, editors, Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, NeurIPS 2021, December 6-14, 2021, virtual. pages 12027-12039, 2021. [doi]
@inproceedings{DboukS21, title = {Generalized Depthwise-Separable Convolutions for Adversarially Robust and Efficient Neural Networks}, author = {Hassan Dbouk and Naresh R. Shanbhag}, year = {2021}, url = {https://proceedings.neurips.cc/paper/2021/hash/649adc59afdef2a8b9e943f94a04b02f-Abstract.html}, researchr = {https://researchr.org/publication/DboukS21}, cites = {0}, citedby = {0}, pages = {12027-12039}, booktitle = {Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, NeurIPS 2021, December 6-14, 2021, virtual}, editor = {Marc'Aurelio Ranzato and Alina Beygelzimer and Yann N. Dauphin and Percy Liang and Jennifer Wortman Vaughan}, }