Mohammed Nowaz Rabbani Chowdhury, Shuai Zhang 0015, Meng Wang 0003, Sijia Liu 0001, Pin-Yu Chen. Patch-level Routing in Mixture-of-Experts is Provably Sample-efficient for Convolutional Neural Networks. In Andreas Krause 0001, Emma Brunskill, KyungHyun Cho, Barbara Engelhardt, Sivan Sabato, Jonathan Scarlett, editors, International Conference on Machine Learning, ICML 2023, 23-29 July 2023, Honolulu, Hawaii, USA. Volume 202 of Proceedings of Machine Learning Research, pages 6074-6114, PMLR, 2023. [doi]
@inproceedings{ChowdhuryZW0C23, title = {Patch-level Routing in Mixture-of-Experts is Provably Sample-efficient for Convolutional Neural Networks}, author = {Mohammed Nowaz Rabbani Chowdhury and Shuai Zhang 0015 and Meng Wang 0003 and Sijia Liu 0001 and Pin-Yu Chen}, year = {2023}, url = {https://proceedings.mlr.press/v202/chowdhury23a.html}, researchr = {https://researchr.org/publication/ChowdhuryZW0C23}, cites = {0}, citedby = {0}, pages = {6074-6114}, booktitle = {International Conference on Machine Learning, ICML 2023, 23-29 July 2023, Honolulu, Hawaii, USA}, editor = {Andreas Krause 0001 and Emma Brunskill and KyungHyun Cho and Barbara Engelhardt and Sivan Sabato and Jonathan Scarlett}, volume = {202}, series = {Proceedings of Machine Learning Research}, publisher = {PMLR}, }