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Browsing "Australian Institute for Machine Learning publications" by Title
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Showing results 1 to 20 of 123
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Issue Date
Title
Author(s)
2018
A Bayesian data augmentation approach for learning deep models
Tran, T.
;
Pham, T.
;
Carneiro, G.
;
Palmer, L.
;
Reid, I.
;
Guyon, I.
;
Luxburg, U.V.
;
Bengio, S.
;
Wallach, H.
;
Fergus, R.
;
Vishwanathan, S.
;
Garnett, R.
;
NIPS Foundation Inc (4 Dec 2017 - 9 Dec 2017 : Long Beach, CA)
2021
A bidirectional graph neural network for traveling salesman problems on arbitrary symmetric graphs
Hu, Y.
;
Zhang, Z.
;
Yao, Y.
;
Huyan, X.
;
Zhou, X.
;
Lee, W.S.
2020
A Multi-modal Approach to Fine-grained Opinion Mining on Video Reviews
Marrese-Taylor, E.
;
Rodriguez Opazo, C.
;
Balazs, J.
;
Gould, S.
;
Matsuo, Y.
;
58th Annual Meeting of the Association for Computational Linguistics (ACL) (5 Jul 2020 - 10 Jul 2020 : Seattle, USA)
2022
A New Higher Order Yang-Mills-Higgs Flow on Riemannian 4-Manifolds
Saratchandran, H.
;
Zhang, J.
;
Zhang, P.
2014
A relaxation method to articulated trajectory reconstruction from monocular image sequence
Li, B.
;
Dai, Y.
;
He, M.
;
Van Den Hengel, A.
;
2nd IEEE China Summit & International Conference on Signal and Information Processing (ChinaSIP 2014) (9 Jul 2014 - 13 Jul 2014 : Xi'an, China)
2020
ABCNet: Real-time scene text spotting with adaptive Bezier-curve network
Liu, Y.
;
Chen, H.
;
Shen, C.
;
He, T.
;
Jin, L.
;
Wang, L.
;
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (14 Jun 2020 - 19 Jun 2020 : virtual online)
2020
Accurate tensor completion via adaptive low-rank representation
Zhang, L.
;
Wei, W.
;
Shi, Q.
;
Shen, C.
;
van den Hengel, A.
;
Zhang, Y.
2022
ACPL: Anti-curriculum Pseudo-labelling for Semi-supervised Medical Image Classification
Liu, F.
;
Tian, Y.
;
Chen, Y.
;
Liu, Y.
;
Belagiannis, V.
;
Carneiro, G.
;
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (18 Jun 2022 - 24 Jun 2022 : New Orleans, Louisiana)
2018
Active learning from noisy tagged images
Abbasnejad, M.E.
;
Dick, A.R.
;
Shi, Q.
;
Hengel, A.V.D.
;
British Machine Vision Conference 2018 (BMVC 2018) (3 Sep 2018 - 6 Sep 2018 : Newcastle upon Tyne)
2023
Active-learning accelerated computational screening of A₂B@NG catalysts for CO₂ electrochemical reduction
Li, X.
;
Li, H.
;
Zhang, Z.
;
Shi, J.Q.
;
Jiao, Y.
;
Qiao, S.-Z.
2019
Actively seeking and learning from live data
Teney, D.
;
Hengel, A.V.D.
;
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (15 Jun 2019 - 20 Jun 2019 : Long Beach, USA)
2020
Adaptive importance learning for improving lightweight image super-resolution network
Zhang, L.
;
Wang, P.
;
Shen, C.
;
Liu, L.
;
Wei, W.
;
Zhang, Y.
;
van den Hengel, A.
2019
Adaptive neuro-surrogate-based optimisation method for wave energy converters placement optimisation
Neshat, M.
;
Abbasnejad, E.
;
Shi, Q.
;
Alexander, B.
;
Wagner, M.
;
Gedeon, T.
;
Wong, K.W.
;
Lee, M.
;
26th International Conference on Neural Information Processing (ICONIP) (12 Dec 2019 - 15 Dec 2019 : Sydney, Australia)
2018
AffordanceNet: an end-to-end deep learning approach for object affordance detection
Do, T.
;
Nguyen, A.
;
Reid, I.
;
IEEE International Conference on Robotics and Automation (ICRA) (21 May 2018 - 25 May 2018 : Brisbane, Australia)
2020
AIML at VQA-Med 2020: Knowledge inference via a skeleton-based sentence mapping approach for medical domain visual question answering
Liao, Z.
;
Wu, Q.
;
Shen, C.
;
Van Den Hengel, A.
;
Verjans, J.
;
Cappellato, L.
;
Eickhoff, C.
;
Ferro, N.
;
Névéol, A.
;
International Conference of the CLEF Initiative (CLEF) (22 Sep 2020 - 25 Sep 2020 : virtual online)
2018
An embarrassingly simple approach to visual domain adaptation
Lu, H.
;
Shen, C.
;
Cao, Z.
;
Xiao, Y.
;
Van Den Hengel, A.
2020
Approximate Fisher information matrix to characterise the training of deep neural networks
Liao, Z.
;
Drummond, T.
;
Reid, I.
;
Carneiro, G.
2020
Attention-based network for low-light image enhancement
Zhang, C.
;
Yan, Q.
;
Zhu, Y.
;
Li, X.
;
Sun, J.
;
Zhang, Y.
;
IEEE International Conference on Multimedia and Expo (ICME) (6 Jul 2020 - 10 Jul 2020 : virtual online)
2018
Bayesian semantic instance segmentation in open set world
Pham, T.
;
Vijay Kumar, B.
;
Do, T.
;
Carneiro, G.
;
Reid, I.
;
Ferrari, V.
;
Hebert, M.
;
Sminchisescu, C.
;
Weiss, Y.
;
European Conference on Computer Vision (ECCV) (8 Sep 2018 - 14 Sep 2018 : Munich)
2020
Blindly assess image quality in the wild guided by a self-adaptive hyper network
Su, S.
;
Yan, Q.
;
Zhu, Y.
;
Zhang, C.
;
Ge, X.
;
Sun, J.
;
Zhang, Y.
;
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (14 Jun 2020 - 19 Jun 2020 : virtual online)