Dynamic Scheduling of MPI-based Distributed Deep Learning Training Jobs. - Tim Capes; Vishal Raheja; Mete Kemertas; Iqbal Mohomed (CoRR, 2019)

RankMI: A Mutual Information Maximizing Ranking Loss. - Mete Kemertas; Leila Pishdad; Konstantinos G. Derpanis; Afsaneh Fazly (CVPR, 2020)

Dependency parsing with structure preserving embeddings. - Ákos Kádár; Lan Xiao; Mete Kemertas; Federico Fancellu; Allan D. Jepson; Afsaneh Fazly (EACL, 2021)

Towards Robust Bisimulation Metric Learning. - Mete Kemertas; Tristan Aumentado-Armstrong (NeurIPS, 2021)

CrispSearch: low-latency on-device language-based image retrieval. - Zhiming Hu; Lan Xiao; Mete Kemertas; Caleb Phillips; Iqbal Mohomed; Afsaneh Fazly (MMSys, 2022)

Trusted Approximate Policy Iteration with Bisimulation Metrics. - Mete Kemertas; Allan D. Jepson (CoRR, 2022)

Approximate Policy Iteration with Bisimulation Metrics. - Mete Kemertas; Allan Douglas Jepson (Trans. Mach. Learn. Res., 2022)

Maximum Entropy Model Correction in Reinforcement Learning. - Amin Rakhsha; Mete Kemertas; Mohammad Ghavamzadeh; Amir-massoud Farahmand (ICLR, 2024)

Realizing Efficient On-Device Language-based Image Retrieval. - Zhiming Hu; Mete Kemertas; Lan Xiao; Caleb Phillips; Iqbal Mohomed; Afsaneh Fazly (ACM Trans. Multim. Comput. Commun. Appl., 2024)

A Truncated Newton Method for Optimal Transport. - Mete Kemertas; Amir-massoud Farahmand; Allan Douglas Jepson (ICLR, 2025)

Efficient and Accurate Optimal Transport with Mirror Descent and Conjugate Gradients. - Mete Kemertas; Allan Douglas Jepson; Amir-massoud Farahmand (Trans. Mach. Learn. Res., 2025)