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Baran, Orhun Bugra
27  Ergebnisse:
Personensuche X
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1

Meta-Tuning Loss Functions and Data Augmentation for Few-Sh..:

, In: 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR),
Demirel, Berkan ; Baran, Orhun Bugra ; Cinbis, Ramazan Gokberk - p. 7339-7349 , 2023
Link: https://doi.org/10.1109/..
 
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2

Semantics-driven attentive few-shot learning over clean and..:

Baran, Orhun Bugra ; Cinbis, Ramazan Gokberk
Neurocomputing.  513 (2022)  - p. 59-69 , 2022
Link: https://doi.org/10.1016/..
 
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3

MaskSplit: Self-supervised Meta-learning for Few-shot Seman..:

, In: 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV),
Amac, Mustafa Sercan ; Sencan, Ahmet ; Baran, Orhun Bugra.. - p. 428-438 , 2022
Link: https://doi.org/10.1109/..
 
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4

ATM Withdrawal Amount Forecasting Through Neural Architectu..:

, In: 2019 IEEE International Conference on Big Data (Big Data),
Baran, Orhun Bugra ; Sunel, Saim ; Karagoz, Pinar. - p. 2134-2143 , 2019
Link: https://doi.org/10.1109/..
 
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5

Meta-tuning Loss Functions and Data Augmentation for Few-sh..:

Demirel, Berkan ; Baran, Orhun Buğra ; Cinbis, Ramazan Gokberk
http://arxiv.org/abs/2304.12161.  , 2023
Link: http://arxiv.org/abs/230..
 
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6

Semantics-driven attentive few-shot learning over clean and..:

Baran, Orhun Bugra ; Cinbis, Ramazan Gokberk
https://aperta.ulakbim.gov.tr/record/255861.  , 2022
Link: https://aperta.ulakbim.g..
 
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7

Closed-form Sample Probing for Learning Generative Models i..:

ÇETİN, SAMET ; CİNBİŞ, RAMAZAN GÖKBERK ; Baran, Orhun Buğra
f5a65d5a-f776-4b66-89c4-def3b55ba06c.  , 2022
Link: https://avesis.metu.edu...
 
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8

MaskSplit: Self-supervised Meta-learning for Few-shot Seman..:

Amac, Mustafa Sercan ; Sencan, Ahmet ; Baran, Orhun Bugra..
https://aperta.ulakbim.gov.tr/record/254631.  , 2022
Link: https://aperta.ulakbim.g..
 
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9

Semantics-driven Attentive Few-shot Learning over Clean and..:

Baran, Orhun Buğra ; Cinbiş, Ramazan Gökberk
http://arxiv.org/abs/2201.03043.  , 2022
Link: http://arxiv.org/abs/220..
 
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10

MaskSplit: Self-supervised Meta-learning for Few-shot Seman..:

Amac, Mustafa Sercan ; Ikizler-Cinbis, Nazli ; BARAN, ORHUN BUĞRA..
07c1b5f2-03a3-46ed-b227-2fa424509b3b.  , 2022
Link: https://doi.org/10.1109/..
 
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11

Semantics-driven attentive few-shot learning over clean and..:

BARAN, ORHUN BUĞRA ; CİNBİŞ, RAMAZAN GÖKBERK
2dca3bea-92aa-4f45-a875-d9f247dedf9a.  , 2022
Link: https://doi.org/10.1016/..
 
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12

MaskSplit: Self-supervised Meta-learning for Few-shot Seman..:

Sencan, Ahmet ; CİNBİŞ, RAMAZAN GÖKBERK ; İKİZLER CİNBİŞ, NAZLI..
07c1b5f2-03a3-46ed-b227-2fa424509b3b.  , 2022
Link: https://doi.org/10.1109/..
 
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13

MaskSplit: Self-supervised Meta-learning for Few-shot Seman..:

Amac, Mustafa Sercan ; Sencan, Ahmet ; Baran, Orhun Bugra..
http://arxiv.org/abs/2110.12207.  , 2021
Link: http://arxiv.org/abs/211..
 
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14

ATM Withdrawal Amount Forecasting Through Neural Architectu..:

Baran, Orhun Bugra ; Sunel, Saim ; Karagöz, Pınar.
Baran O. B. , Sunel S., KARAGÖZ P., TOROSLU İ. H. , "ATM Withdrawal Amount Forecasting Through Neural Architectures", IEEE International Conference on Big Data, Los-Angeles, Şili, 9 - 12 Aralık 2019.  , 2019
Link: https://hdl.handle.net/1..
 
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15

Optimizing the Personalized Care for the Management of Rect..:

Aytaç, Erman ; Özer, Leyla ; Baca, Bilgi...
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9524446/.  , 2022
Link: http://www.ncbi.nlm.nih...
 
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