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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
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About Me
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Short description of portfolio item number 1
Short description of portfolio item number 2
Published in Journal 1, 2009
This paper is about the number 1. The number 2 is left for future work.
Recommended citation: Your Name, You. (2009). "Paper Title Number 1." Journal 1. 1(1). http://academicpages.github.io/files/paper1.pdf
Published in Journal 1, 2010
This paper is about the number 2. The number 3 is left for future work.
Recommended citation: Your Name, You. (2010). "Paper Title Number 2." Journal 1. 1(2). http://academicpages.github.io/files/paper2.pdf
Published in Journal 1, 2015
This paper is about the number 3. The number 4 is left for future work.
Recommended citation: Your Name, You. (2015). "Paper Title Number 3." Journal 1. 1(3). http://academicpages.github.io/files/paper3.pdf
Published:
I presented at 2017 IJCAI conference for our accepted paper: Adversarial generation of real-time feedback with neural networks for simulation-based training. Check out our poster IJCAI2017_poster.pdf and slides IJCAI2017_slides.pdf.
Published:
I presented at 2017 MICCAI conference for our poster paper: “Providing Effective Real-time Feedback in Simulation-based Surgical Training”. Check out our poster MICCAI2017_poster.pdf.
Published:
As an invited speaker, I talked about “Machine learning and AI in practice (and beyond) using Tensorflow” along with Scott Thomson (Google) and Gus Nalwan (Carsales) in 2017 IAPA National Conference “Advancing Analytics”, Melbourne, 2017. Check out the slides IAPA2017_slides.pdf.
Published:
I discussed the problem of adversarial examples in deep learning and new understanding based on Local Intrinsic Dimensionality, slides are available here. I also attended the NII Open House exhibition, 23rd June, 2018, click to checkout our open house poster: NIIOpenHouse2018_poster.pdf.
Published:
I presented at 2018 ICLR for our oral paper: Characterizing Adversarial Subspaces Using Local Intrinsic Dimensionality. Check out our poster ICLR2018_poster.pdf and slides ICLR2018_slides.pdf.
Published:
I gave a long talk at 2018 ICML conference for our accepted paper: Dimensionality-Driven Learning with Noisy Labels. Check out our poster ICML2018_poster.pdf and slides ICML2018_slides.pdf.
Published:
Sarah Erfani and I gave a tutorial on Adversarial Machine Learning (AML) at Australasian Joint Conference on Artificial Intelligence (AI2019). GitHub (slides and codes).
Undergraduate course, University of Melbourne, School of Computing and Information systems, 2016
I tutored the Computer Systems subject.
Undergraduate course, University of Melbourne, School of Computing and Information systems, 2017
I tutored the Knowledge Technologies subject.
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