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The University of Melbourne
- Melbourne, Australia
- https://fengliu90.github.io/
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CSrankings Public
Forked from emeryberger/CSrankingsA web app for ranking computer science departments according to their research output in selective venues, and for finding active faculty across a wide range of areas.
Python Other UpdatedJun 10, 2023 -
MetaTesting Public
This is the source code for Meta Two-Sample Testing: Learning Kernels for Testing with Limited Data (NeurIPS2021).
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TOHAN Public
Forked from Haoang97/TOHANSource code for NeurIPS 2021 paper "TOHAN: A One-step Approach towards Few-shot Hypothesis Adaptation".
Python UpdatedDec 26, 2021 -
The common classes between ImageNet and CIFAR(10 or 100).
MIT License UpdatedSep 26, 2021 -
SAMMD Public
Forked from Sjtubrian/SAMMDThis is the source code for Maximum Mean Discrepancy is Aware of Adversarial Attacks (ICML2021).
Python UpdatedJul 18, 2021 -
DK-for-TST Public
This is the source code for Learning Deep Kernels for Non-Parametric Two-Sample Tests (ICML2020).
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Openset_Learning_AOSR Public
Forked from Anjin-Liu/Openset_Learning_AOSRThis is the source code for Learning Bounds for Open-set Learning (ICML2021).
Jupyter Notebook MIT License UpdatedJun 17, 2021 -
Butterfly Public
This is the source code for Butterfly: One-step Approach towards Wildly Unsupervised Domain Adaptation (NeurIPS'19 Workshop).
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BFUDA Public
Forked from Yiyang98/BFUDACode release for "Clarinet: A One-step Approach Towards Budget-friendly Unsupervised Domain Adaptation" (IJCAI 2020)
Python UpdatedMay 12, 2021 -
Friendly-Adversarial-Training Public
Forked from zjfheart/Friendly-Adversarial-TrainingAttacks Which Do Not Kill Training Make Adversarial Learning Stronger (ICML2020 Paper)
Python UpdatedApr 13, 2021 -
Geometry-aware-Instance-reweighted-Adversarial-Training Public
Forked from zjfheart/Geometry-aware-Instance-reweighted-Adversarial-TrainingBased on the paper "Geometry-aware Instance-reweighted Adversarial Training" ICLR 2021 oral
Python UpdatedApr 13, 2021 -
E-MixNet Public
This is the official code for the paper "How does the Combined Risk Affect the Performance of Unsupervised Domain Adaptation Approaches?" (AAAI2021)
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Open-set-domain-adaptation Public
Forked from fang-zhen/Open-set-domain-adaptationOpen set domain adaptation code DAOD (IEEE-TNNLS 2020)
MATLAB UpdatedDec 3, 2019 -
SFER_code Public
This is the code for paper "Unsupervised Heterogeneous Domain Adaptation via Shared Fuzzy Equivalence Relations" (IEEE-TFS 2018)