https://openreview.net/forum?id=MiyfRTb0o2&referrer=%5Bthe%20profile%20of%20Zhixiang%20Huang%5D(%2Fprofile%3Fid%3D~Zhixiang_Huang1)
Deep into The Domain Shift: Transfer Learning through Dependence Regularization | OpenReview
Classical Domain Adaptation methods acquire transferability by regularizing the overall distributional discrepancies between features in the source domain...
into thedomain shifttransfer learningdeep
https://openreview.net/forum?id=0FWPKHMCSc
Large Scale Dataset Distillation with Domain Shift | OpenReview
Dataset Distillation seeks to summarize a large dataset by generating a reduced set of synthetic samples. While there has been much success at distilling small...
large scaledomain shiftdatasetdistillationopenreview
https://openreview.net/forum?id=dZ7MVojplmi
The impact of domain shift on the calibration of fine-tuned models | OpenReview
The impact of domain shift on the calibration of fine-tuned models
the impactdomain shiftfine tuned
https://deepai.org/publication/hyperbolic-active-learning-for-semantic-segmentation-under-domain-shift
Hyperbolic Active Learning for Semantic Segmentation under Domain Shift | DeepAI
Jun 19, 2023 - 06/19/23 - For the task of semantic segmentation (SS) under domain shift, active learning (AL) acquisition strategies based on image regions ...
active learningsemantic segmentationdomain shifthyperbolicdeepai
https://openreview.net/forum?id=Ur2B8gSfZm3
Reducing the Covariate Shift by Mirror Samples in Cross Domain Alignment | OpenReview
Uncover the dilemma in reducing covariate shift and propose a mirror sample based method for unsupervised domain adaptation.
https://openreview.net/forum?id=OMZG4vsKmm7
Domain Adaptation under Open Set Label Shift | OpenReview
We introduce Open Set Label Shift (OSLS) problem, a coherent instantiation of Open Set Domain Adaptation (OSDA). We propose a simple practical solution for...
domain adaptationopen setlabelshiftopenreview