John Chen

According to our database, John Chen authored at least 10 papers between 2019 and 2023.

Collaborative distances:

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

2023

Fast FixMatch: Faster Semi-Supervised Learning with Curriculum Batch Size.

John Chen, Chen Dun, Anastasios Kyrillidis

CoRR, 2023

2022

Stackmix: a complementary mix algorithm.

John Chen, Samarth Sinha, Anastasios Kyrillidis

Proceedings of the Uncertainty in Artificial Intelligence, 2022

REX: Revisiting Budgeted Training with an Improved Schedule.

John Chen, Cameron R. Wolfe, Tasos Kyrillidis

Proceedings of Machine Learning and Systems 2022, 2022

Demon: Improved Neural Network Training With Momentum Decay.

John Chen, Cameron R. Wolfe, Zhao Li, Anastasios Kyrillidis

Proceedings of the IEEE International Conference on Acoustics, 2022

2021

Mitigating Deep Double Descent by Concatenating Inputs.

John Chen, Qihan Wang, Anastasios Kyrillidis

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Revisiting Consistent Hashing with Bounded Loads.

John Chen, Benjamin Coleman, Anshumali Shrivastava

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

ImCLR: Implicit Contrastive Learning for Image Classification.

John Chen, Samarth Sinha, Anastasios Kyrillidis

CoRR, 2020

STORM: Foundations of End-to-End Empirical Risk Minimization on the Edge.

Benjamin Coleman, Gaurav Gupta, John Chen, Anshumali Shrivastava

CoRR, 2020

Negative Sampling in Semi-Supervised learning.

John Chen, Vatsal Shah, Anastasios Kyrillidis

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

Decaying momentum helps neural network training.

John Chen, Anastasios Kyrillidis

CoRR, 2019