Agarwala, Atish, Das, Abhimanyu, Juba, Brendan, Panigrahy, Rina, Sharan, Vatsal, Wang, Xin, and Zhang, Qiuyi. One network fits all? Modular versus monolithic task formulations in neural networks. Retrieved from https://par.nsf.gov/biblio/10297335. Proceedings of the Ninth International Conference on Learning Representations (ICLR 2021) .

Agarwala, Atish, Das, Abhimanyu, Juba, Brendan, Panigrahy, Rina, Sharan, Vatsal, Wang, Xin, & Zhang, Qiuyi. One network fits all? Modular versus monolithic task formulations in neural networks. Proceedings of the Ninth International Conference on Learning Representations (ICLR 2021), (). Retrieved from https://par.nsf.gov/biblio/10297335.

Agarwala, Atish, Das, Abhimanyu, Juba, Brendan, Panigrahy, Rina, Sharan, Vatsal, Wang, Xin, and Zhang, Qiuyi. "One network fits all? Modular versus monolithic task formulations in neural networks". Proceedings of the Ninth International Conference on Learning Representations (ICLR 2021) (). Country unknown/Code not available. https://par.nsf.gov/biblio/10297335.

@article{osti_10297335,
place = {Country unknown/Code not available}, title = {One network fits all? Modular versus monolithic task formulations in neural networks}, url = {https://par.nsf.gov/biblio/10297335}, abstractNote = {}, journal = {Proceedings of the Ninth International Conference on Learning Representations (ICLR 2021)}, author = {Agarwala, Atish and Das, Abhimanyu and Juba, Brendan and Panigrahy, Rina and Sharan, Vatsal and Wang, Xin and Zhang, Qiuyi}, editor = {null} }