Gaurav Kumar

According to our database, Gaurav Kumar authored at least 6 papers between 2019 and 2024.

Collaborative distances:

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

2024

To raise or not to raise: the autonomous learning rate question.

Xiaomeng Dong, Tao Tan, Michael Potter, Yun-Chan Tsai, Gaurav Kumar, V. Ratna Saripalli, Theodore B. Trafalis

Ann. Math. Artif. Intell., December, 2024

2022

Autonomous Learning Rate Optimization for Deep Learning.

Xiaomeng Dong, Tao Tan, Michael Potter, Yun-Chan Tsai, Gaurav Kumar, V. Ratna Saripalli, Theodore B. Trafalis

Proceedings of the Learning and Intelligent Optimization - 16th International Conference, 2022

Optimizing Data Augmentation Policy Through Random Unidimensional Search.

Xiaomeng Dong, Michael Potter, Gaurav Kumar, Yun-Chan Tsai, V. Ratna Saripalli, Theodore B. Trafalis

Proceedings of the Learning and Intelligent Optimization - 16th International Conference, 2022

2021

To Raise or Not To Raise: The Autonomous Learning Rate Question.

Xiaomeng Dong, Tao Tan, Michael Potter, Yun-Chan Tsai, Gaurav Kumar, V. Ratna Saripalli

CoRR, 2021

Automating Augmentation Through Random Unidimensional Search.

Xiaomeng Dong, Michael Potter, Gaurav Kumar, Yun-Chan Tsai, V. Ratna Saripalli

CoRR, 2021

2019

FastEstimator: A Deep Learning Library for Fast Prototyping and Productization.

Xiaomeng Dong, Junpyo Hong, Hsi-Ming Chang, Michael Potter, Aritra Chowdhury, Purujit Bahl, Vivek Soni, Yun-Chan Tsai, Rajesh Tamada, Gaurav Kumar, Caroline Favart, V. Ratna Saripalli, Gopal Avinash

CoRR, 2019