fengliu90 Goto Github PK
Name: Feng Liu
Type: User
Company: The University of Melbourne
Bio: Machine Learning Researcher, Assistant Professor @ The University of Melbourne
Location: Melbourne, Australia
Name: Feng Liu
Type: User
Company: The University of Melbourne
Bio: Machine Learning Researcher, Assistant Professor @ The University of Melbourne
Location: Melbourne, Australia
Code release for "Clarinet: A One-step Approach Towards Budget-friendly Unsupervised Domain Adaptation" (IJCAI 2020)
This is the source code for Butterfly: One-step Approach towards Wildly Unsupervised Domain Adaptation (NeurIPS'19 Workshop).
The common classes between ImageNet and CIFAR(10 or 100).
A 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.
This is the source code for Learning Deep Kernels for Non-Parametric Two-Sample Tests (ICML2020).
This is the official code for the paper "How does the Combined Risk Affect the Performance of Unsupervised Domain Adaptation Approaches?" (AAAI2021)
Attacks Which Do Not Kill Training Make Adversarial Learning Stronger (ICML2020 Paper)
Based on the paper "Geometry-aware Instance-reweighted Adversarial Training" ICLR 2021 oral
This is the source code for Meta Two-Sample Testing: Learning Kernels for Testing with Limited Data (NeurIPS2021).
Open set domain adaptation code DAOD (IEEE-TNNLS 2020)
This is the source code for Learning Bounds for Open-set Learning (ICML2021).
This is the source code for Maximum Mean Discrepancy is Aware of Adversarial Attacks (ICML2021).
This is the code for paper "Unsupervised Heterogeneous Domain Adaptation via Shared Fuzzy Equivalence Relations" (IEEE-TFS 2018)
Source code for NeurIPS 2021 paper "TOHAN: A One-step Approach towards Few-shot Hypothesis Adaptation".
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.