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Issue Date
Title
Author(s)
2019
A theoretically sound upper bound on the triplet loss for improving the efficiency of deep distance metric learning
Do, T.-T.
;
Tran, T.
;
Reid, I.
;
Kumar, V.
;
Hoang, T.
;
Carneiro, G.
;
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (16 Jun 2019 - 20 Jun 2019 : Long Beach, CA, USA)
2019
Bayesian generative active deep learning
Tran, T.M.
;
Do, T.-T.
;
Reid, I.
;
Carneiro, G.
;
Chaudhuri, K.
;
Salakhutdinov, R.
;
36th International Conference on Machine Learning (IMCL) (9 Jun 2019 - 15 Jun 2019 : Long Beach, CA, USA)
2021
Probabilistic task modelling for Meta-Learning
Nguyen, C.C.
;
Do, T.-T.
;
Carneiro, G.
;
Conference of Uncertainty on Artificial Intelligence (UAI) (27 Jul 2021 - 30 Jul 2021 : online)
2023
Instance-Dependent Noisy Label Learning via Graphical Modelling
Garg, A.
;
Nguyen, C.
;
Felix, R.
;
Do, T.-T.
;
Carneiro, G.
;
IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) (2 Jan 2023 - 7 Jan 2023 : Waikoloa, HI, USA)
2023
PAC-Bayes meta-learning with implicit task-specific posteriors
Nguyen, C.
;
Do, T.-T.
;
Carneiro, G.
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Author
2
Nguyen, C.
2
Reid, I.
1
36th International Conference on ...
1
Chaudhuri, K.
1
Conference of Uncertainty on Arti...
1
Felix, R.
1
Garg, A.
1
Hoang, T.
1
IEEE/CVF Conference on Computer V...
1
IEEE/CVF Winter Conference on App...
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Subject
1
cs.LG
1
PAC Bayes; meta-learning; few-sho...
Date issued
2
2023
1
2021
2
2019