Mete Kemertas
Mete Kemertas
PhD Candidate at University of Toronto
Verified email at - Homepage
Cited by
Cited by
RankMI: A mutual information maximizing ranking loss
M Kemertas, L Pishdad, KG Derpanis, A Fazly
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
Towards robust bisimulation metric learning
M Kemertas, T Aumentado-Armstrong
Advances in Neural Information Processing Systems 34, 4764-4777, 2021
Approximate Policy Iteration with Bisimulation Metrics
M Kemertas, A Jepson
Transactions on Machine Learning Research, 2022
CrispSearch: low-latency on-device language-based image retrieval
Z Hu, L Xiao, M Kemertas, C Phillips, I Mohomed, A Fazly
Proceedings of the 13th ACM Multimedia Systems Conference, 62-72, 2022
Dynamic Scheduling of MPI-based Distributed Deep Learning Training Jobs
T Capes, V Raheja, M Kemertas, I Mohomed
arXiv preprint arXiv:1908.08082, 2019
Efficient and Accurate Optimal Transport with Mirror Descent and Conjugate Gradients
M Kemertas, AD Jepson, A Farahmand
arXiv preprint arXiv:2307.08507, 2023
Method and apparatus for data anonymization
A Jepson, A Levinshtein, M Kemertas, H Zhang, HR Kaviani
US Patent 11,430,088, 2022
Apparatus for deep representation learning and method thereof
M Kemertas, L Pishdad, K Derpanis, A Fazly
US Patent 11,580,392, 2023
Dependency parsing with structure preserving embeddings
Á Kádár, L Xiao, M Kemertas, F Fancellu, A Jepson, A Fazly
Proceedings of the 16th Conference of the European Chapter of the …, 2021
Realizing Efficient On-Device Language-based Image Retrieval
Z Hu, M Kemertas, L Xiao, C Phillips, I Mohomed, A Fazly
ACM Transactions on Multimedia Computing, Communications and Applications, 2024
Maximum Entropy Model Correction in Reinforcement Learning
A Rakhsha, M Kemertas, M Ghavamzadeh, A Farahmand
arXiv preprint arXiv:2311.17855, 2023
System and method for dynamic scheduling of distributed deep learning training jobs
T Capes, I Mohomed, V Raheja, M Kemertas
US Patent 11,693,706, 2023
Coarse-to-fine multimodal gallery search system with attention-based neural network models
M Kemertas
US Patent 11,645,323, 2023
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