Conference proceedings, 35th Internaltional Conference on Machine Learing, Stockholmsmässan, Stockholm, Sweden
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.
Oral conference talk, 6th International Conference on Learning Representations, 2018, Vancouver Convention Center, Vancouver, Canada
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.
Seminar, National Institute of Informatic, Japan, Tokyo, Japan
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.
Tutorials, IAPA National Conference Advancing Analytics, Melbourne, Australia
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.
Poster presentation, 20th International Conference on Medical Image Computing and Computer Assisted Intervention, Quebec City, Quebec, Canada
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.
Conference proceedings talk, International Joint Conference on Artificial Intelligence, Convention Center, Melbourne, Australia
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.