Mete Kemertas

According to our database, Mete Kemertas authored at least 10 papers between 2019 and 2024.

Collaborative distances:

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

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., September, 2024

Maximum Entropy Model Correction in Reinforcement Learning.

Amin Rakhsha, Mete Kemertas, Mohammad Ghavamzadeh, Amir-massoud Farahmand

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Efficient and Accurate Optimal Transport with Mirror Descent and Conjugate Gradients.

Mete Kemertas, Allan D. Jepson, Amir-massoud Farahmand

CoRR, 2023

2022

Approximate Policy Iteration with Bisimulation Metrics.

Mete Kemertas, Allan Douglas Jepson

Trans. Mach. Learn. Res., 2022

Trusted Approximate Policy Iteration with Bisimulation Metrics.

Mete Kemertas, Allan D. Jepson

CoRR, 2022

CrispSearch: low-latency on-device language-based image retrieval.

Zhiming Hu, Lan Xiao, Mete Kemertas, Caleb Phillips, Iqbal Mohomed, Afsaneh Fazly

Proceedings of the MMSys '22: 13th ACM Multimedia Systems Conference, Athlone, Ireland, June 14, 2022

2021

Towards Robust Bisimulation Metric Learning.

Mete Kemertas, Tristan Aumentado-Armstrong

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Dependency parsing with structure preserving embeddings.

Ákos Kádár, Lan Xiao, Mete Kemertas, Federico Fancellu, Allan D. Jepson, Afsaneh Fazly

Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021

2020

RankMI: A Mutual Information Maximizing Ranking Loss.

Mete Kemertas, Leila Pishdad, Konstantinos G. Derpanis, Afsaneh Fazly

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Dynamic Scheduling of MPI-based Distributed Deep Learning Training Jobs.

Tim Capes, Vishal Raheja, Mete Kemertas, Iqbal Mohomed

CoRR, 2019