Correlated product of experts for sparse Gaussian process regression Manuel SchürchDario AzzimontiMarco Zaffalon OriginalPaper Open access 25 January 2023 Pages: 1411 - 1432
An accelerated proximal algorithm for regularized nonconvex and nonsmooth bi-level optimization Ziyi ChenBhavya KailkhuraYi Zhou OriginalPaper 07 April 2023 Pages: 1433 - 1463
\(\alpha\)ILP: thinking visual scenes as differentiable logic programs Hikaru ShindoViktor PfanschillingKristian Kersting OriginalPaper Open access 14 March 2023 Pages: 1465 - 1497
Learning key steps to attack deep reinforcement learning agents Chien-Min YuMing-Hsin ChenHsuan-Tien Lin OriginalPaper 20 March 2023 Pages: 1499 - 1522
Data driven discovery of systems of ordinary differential equations using nonconvex multitask learning Clément LejeuneJosiane MotheOlivier Teste OriginalPaper 24 April 2023 Pages: 1523 - 1549
Learning programs with magic values Céline HocquetteAndrew Cropper OriginalPaper Open access 22 March 2023 Pages: 1551 - 1595
Generalizing universal adversarial perturbations for deep neural networks Yanghao ZhangWenjie RuanXiaowei Huang OriginalPaper 22 March 2023 Pages: 1597 - 1626
Cross-model consensus of explanations and beyond for image classification models: an empirical study Xuhong LiHaoyi XiongDejing Dou OriginalPaper 23 February 2023 Pages: 1627 - 1662
Local2Global: a distributed approach for scaling representation learning on graphs Lucas G. S. JeubGiovanni ColavizzaMihai Cucuringu OriginalPaper Open access 24 February 2023 Pages: 1663 - 1692
PAC-learning with approximate predictors Andrew J. TurnerAta Kabán OriginalPaper Open access 08 February 2023 Pages: 1693 - 1732
Fully convolutional open set segmentation Hugo OliveiraCaio SilvaJefersson A. dos Santos OriginalPaper 09 July 2021 Pages: 1733 - 1784
Deep learning’s shallow gains: a comparative evaluation of algorithms for automatic music generation Zongyu YinFederico ReubenTom Collins OriginalPaper Open access 21 March 2023 Pages: 1785 - 1822