Robuta

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