Gowreesh Mago

According to our database, Gowreesh Mago authored at least 3 papers between 2023 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Pushing the Limits of Gradient Descent for Efficient Learning on Large Images.

Deepak K. Gupta, Gowreesh Mago, Arnav Chavan, Dilip K. Prasad, Rajat Mani Thomas

Trans. Mach. Learn. Res., 2024

2023

Patch Gradient Descent: Training Neural Networks on Very Large Images.

Deepak K. Gupta, Gowreesh Mago, Arnav Chavan, Dilip K. Prasad

CoRR, 2023

RCV2023 Challenges: Benchmarking Model Training and Inference for Resource-Constrained Deep Learning.

Rishabh Tiwari, Arnav Chavan, Deepak K. Gupta, Gowreesh Mago, Animesh Gupta, Akash Gupta, Suraj Sharan, Yukun Yang, Shanwei Zhao, Shihao Wang, Youngjun Kwak, Seonghun Jeong, Yunseung Lee, Changick Kim, Subin Kim, Ganzorig Gankhuyag, Ho Jung, Junwhan Ryu, HaeMoon Kim, Byeong Hak Kim, Tu Vo, Sheir Zaheer, Alexander Holston, Chan Y. Park, Dheemant Dixit, Nahush Lele, Kushagra Bhushan, Debjani Bhowmick, Devanshu Arya, Sadaf Gulshad, Amirhossein Habibian, Amir Ghodrati, Babak Ehteshami Bejnordi, Jai Gupta, Zhuang Liu, Jiahui Yu, Dilip K. Prasad, Zhiqiang Shen

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023