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2020 – today
- 2024
[c5]Amin Rakhsha, Mete Kemertas, Mohammad Ghavamzadeh, Amir-massoud Farahmand:
Maximum Entropy Model Correction in Reinforcement Learning. ICLR 2024- 2023
- [i5]Mete Kemertas, Allan D. Jepson, Amir-massoud Farahmand:
Efficient and Accurate Optimal Transport with Mirror Descent and Conjugate Gradients. CoRR abs/2307.08507 (2023) - [i4]Amin Rakhsha, Mete Kemertas, Mohammad Ghavamzadeh, Amir-massoud Farahmand:
Maximum Entropy Model Correction in Reinforcement Learning. CoRR abs/2311.17855 (2023) - 2022
- [j1]Mete Kemertas, Allan Douglas Jepson:
Approximate Policy Iteration with Bisimulation Metrics. Trans. Mach. Learn. Res. 2022 (2022) - [c4]Zhiming Hu, Lan Xiao, Mete Kemertas, Caleb Phillips, Iqbal Mohomed, Afsaneh Fazly:
CrispSearch: low-latency on-device language-based image retrieval. MMSys 2022: 62-72 - [i3]Mete Kemertas, Allan D. Jepson:
Trusted Approximate Policy Iteration with Bisimulation Metrics. CoRR abs/2202.02881 (2022) - 2021
- [c3]Ákos Kádár, Lan Xiao, Mete Kemertas, Federico Fancellu, Allan D. Jepson, Afsaneh Fazly:
Dependency parsing with structure preserving embeddings. EACL 2021: 1684-1697 - [c2]Mete Kemertas, Tristan Aumentado-Armstrong:
Towards Robust Bisimulation Metric Learning. NeurIPS 2021: 4764-4777 - [i2]Mete Kemertas, Tristan Aumentado-Armstrong
:
Towards Robust Bisimulation Metric Learning. CoRR abs/2110.14096 (2021) - 2020
- [c1]Mete Kemertas, Leila Pishdad, Konstantinos G. Derpanis, Afsaneh Fazly:
RankMI: A Mutual Information Maximizing Ranking Loss. CVPR 2020: 14350-14359
2010 – 2019
- 2019
- [i1]Tim Capes, Vishal Raheja, Mete Kemertas, Iqbal Mohomed:
Dynamic Scheduling of MPI-based Distributed Deep Learning Training Jobs. CoRR abs/1908.08082 (2019)
Coauthor Index
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