Unsupervised Domain
Found 4 free book(s)
Maximum Classifier Discrepancy for Unsupervised Domain ...
openaccess.thecvf.comMaximum Classifier Discrepancy for Unsupervised Domain Adaptation Kuniaki Saito1, Kohei Watanabe1, Yoshitaka Ushiku1, and Tatsuya Harada1,2 1The University of Tokyo, 2RIKEN {k-saito,watanabe,ushiku,harada}@mi.t.u-tokyo.ac.jp Abstract In this work, we present a method for unsupervised do-
FDA: Fourier Domain Adaptation for Semantic Segmentation
openaccess.thecvf.comIn unsupervised domain adaptation (UDA), we are given a source dataset Ds = {(xs i,y s i) ∼ P(xs,ys)}N s i=1, where xs ∈ RH×W×3 is a color image, and ys ∈ RH×W is the semantic map associated with xs. Similarly D t={x i} N t i=1 is the target …
Neural Discrete Representation Learning
arxiv.orgtasks such as few-shot learning [34], domain adaptation [17], or reinforcement learning [35] heavily rely on learnt representations from raw data, but the usefulness of generic representations trained in an unsupervised fashion is still far from being the dominant approach.
Language Models are Unsupervised Multitask Learners
persagen.comon single domain datasets is a major contributor to the lack of generalization observed in current systems. Progress towards robust systems with current architectures is likely to require training and measuring performance on a wide ... Language Models …