fengliu90

DK-for-TST

This is the source code for Learning Deep Kernels for Non-Parametric Two-Sample Tests (ICML2020).

MetaTesting

This is the source code for Meta Two-Sample Testing: Learning Kernels for Testing with Limited Data (NeurIPS2021).

SFER_code

This is the code for paper "Unsupervised Heterogeneous Domain Adaptation via Shared Fuzzy Equivalence Relations" (IEEE-TFS 2018)

Butterfly

This is the source code for Butterfly: One-step Approach towards Wildly Unsupervised Domain Adaptation (NeurIPS'19 Workshop).

BFUDA

Code release for "Clarinet: A One-step Approach Towards Budget-friendly Unsupervised Domain Adaptation" (IJCAI 2020)

CommonClasses_ImageNet_CIFAR100

The common classes between ImageNet and CIFAR(10 or 100).

Openset_Learning_AOSR

This is the source code for Learning Bounds for Open-set Learning (ICML2021).

SAMMD

This is the source code for Maximum Mean Discrepancy is Aware of Adversarial Attacks (ICML2021).

TOHAN

Source code for NeurIPS 2021 paper "TOHAN: A One-step Approach towards Few-shot Hypothesis Adaptation".

CSrankings

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.

E-MixNet

This is the official code for the paper "How does the Combined Risk Affect the Performance of Unsupervised Domain Adaptation Approaches?" (AAAI2021)

fengliu90.github.io

Friendly-Adversarial-Training

Attacks Which Do Not Kill Training Make Adversarial Learning Stronger (ICML2020 Paper)

Geometry-aware-Instance-reweighted-Adversarial-Training

Based on the paper "Geometry-aware Instance-reweighted Adversarial Training" ICLR 2021 oral

Open-set-domain-adaptation

Open set domain adaptation code DAOD (IEEE-TNNLS 2020)