_id,doi,title
9210,10.1007/978-3-030-71278-5_18,Does SGD implicitly optimize for smoothness?
9416,,The inductive bias of ReLU networks on orthogonally separable data
9418,10.15479/AT:ISTA:9418,Underspecification in deep learning
7936,10.1109/WACV45572.2020.9093288,Localizing grouped instances for efficient detection in low-resource scenarios
7937,10.1109/WACV45572.2020.9093635,A flexible selection scheme for minimum-effort transfer learning
8063,,"Object-centric image generation with factored depths, locations, and appearances"
8092,10.1007/978-3-030-30671-7_3,XGAN: Unsupervised image-to-image translation for many-to-many mappings
8186,10.1109/CVPR42600.2020.00752,Leveraging 2D data to learn textured 3D mesh generation
8188,,Unsupervised object-centric video generation and decomposition in 3D
8390,10.15479/AT:ISTA:8390,Leveraging structure in Computer Vision tasks for flexible Deep Learning models
8724,,On the sample complexity of adversarial multi-source PAC learning
6944,10.1007/s11263-019-01232-x,KS(conf): A light-weight test if a multiclass classifier operates outside of its specifications
6952,10.1007/s11263-019-01219-8,"Learning single-image 3D reconstruction by generative modelling of shape, pose and shading"
7481,,Functional vs. parametric equivalence of ReLU networks
6942,10.1007/978-3-030-30281-8_7,Strategy representation by decision trees with linear classifiers
7171,10.1007/978-3-658-26763-6,Wie Maschinen Lernen: Künstliche Intelligenz Verständlich Erklärt
7479,10.1109/ICCV.2019.00144,Distillation-based training for multi-exit architectures
7640,10.1109/ICCVW.2019.00217,Detecting visual relationships using box attention
6482,10.1007/978-3-030-12939-2_18,KS(conf): A light-weight test if a ConvNet operates outside of Its specifications
6554,10.1109/tpami.2018.2857768,"Zero-shot learning - A comprehensive evaluation of the good, the bad and the ugly"