{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,4,9]],"date-time":"2025-04-09T06:14:45Z","timestamp":1744179285833},"reference-count":41,"publisher":"IEEE","license":[{"start":{"date-parts":[[2022,8,21]],"date-time":"2022-08-21T00:00:00Z","timestamp":1661040000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,8,21]],"date-time":"2022-08-21T00:00:00Z","timestamp":1661040000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022,8,21]]},"DOI":"10.1109\/icpr56361.2022.9956389","type":"proceedings-article","created":{"date-parts":[[2022,11,29]],"date-time":"2022-11-29T19:34:13Z","timestamp":1669750453000},"page":"2142-2148","source":"Crossref","is-referenced-by-count":1,"title":["Look Beyond Bias with Entropic Adversarial Data Augmentation"],"prefix":"10.1109","author":[{"given":"Thomas","family":"Duboudin","sequence":"first","affiliation":[{"name":"Univ Lyon, Ecole Centrale de Lyon, CNRS, INSA Lyon, Univ Claude Bernard Lyon 1, Univ Louis Lumière Lyon 2,LIRIS, UMR5205,Ecully,France,69134"}]},{"given":"Emmanuel","family":"Dellandrea","sequence":"additional","affiliation":[{"name":"Univ Lyon, Ecole Centrale de Lyon, CNRS, INSA Lyon, Univ Claude Bernard Lyon 1, Univ Louis Lumière Lyon 2,LIRIS, UMR5205,Ecully,France,69134"}]},{"given":"Corentin","family":"Abgrall","sequence":"additional","affiliation":[{"name":"Thales LAS,France"}]},{"given":"Gilles","family":"Henaff","sequence":"additional","affiliation":[{"name":"Thales LAS,France"}]},{"given":"Liming","family":"Chen","sequence":"additional","affiliation":[{"name":"Univ Lyon, Ecole Centrale de Lyon, CNRS, INSA Lyon, Univ Claude Bernard Lyon 1, Univ Louis Lumière Lyon 2,LIRIS, UMR5205,Ecully,France,69134"}]}],"member":"263","reference":[{"article-title":"U-net: Convolutional networks for biomedical image segmentation","year":"0","author":"ronneberger","key":"ref39"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00612"},{"article-title":"Improved regularization of convolutional neural networks with cutout","year":"2017","author":"devries","key":"ref33"},{"article-title":"Invariant risk minimization","year":"2020","author":"arjovsky","key":"ref32"},{"key":"ref31","article-title":"Swapping autoencoder for deep image manipulation","author":"park","year":"2020","journal-title":"Advances in neural information processing systems"},{"key":"ref30","article-title":"Image-to-image translation for cross-domain disentanglement","author":"gonzalez-garcia","year":"2018","journal-title":"Advances in neural information processing systems"},{"key":"ref37","article-title":"Reducing overfitting in deep networks by decorrelating representations","author":"cogswell","year":"2016","journal-title":"Internatinal Conference on Learning Representation"},{"key":"ref36","article-title":"Can we gain more from orthogonality regularizations in training deep networks?","author":"bansal","year":"2018","journal-title":"Advances in neural information processing systems"},{"key":"ref35","article-title":"Dropout: A simple way to prevent neural networks from overfitting","author":"srivastava","year":"2014","journal-title":"Journal of Machine Learning Research"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.167"},{"key":"ref10","article-title":"Learning from failure: Training debiased classifier from biased classifier","author":"nam","year":"2020","journal-title":"Advances in neural information processing systems"},{"key":"ref40","article-title":"Adam: A method for stochastic optimization","author":"kingma","year":"2015","journal-title":"International Conference on Learning Representations"},{"key":"ref11","article-title":"Systematic generalisation with group invariant predictions","author":"ahmed","year":"2021","journal-title":"International Conference on Learning Representations"},{"key":"ref12","article-title":"Learning debiased representation via disentangled feature augmentation","author":"lee","year":"2021","journal-title":"Advances in neural information processing systems"},{"article-title":"Just train twice: Improving group robustness without training group information","year":"0","author":"liu","key":"ref13"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.01472"},{"key":"ref15","article-title":"Pervasive label errors in test sets destabilize machine learning benchmarks","author":"northcutt","year":"2021","journal-title":"Advances in neural information processing systems"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01270-0_28"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1038\/s42256-021-00338-7"},{"article-title":"Learning multiple layers of features from tiny images","year":"2009","author":"krizhevsky","key":"ref18"},{"article-title":"Mnist handwritten digit database","year":"2010","author":"lecun","key":"ref19"},{"key":"ref28","article-title":"Maximum-entropy adversarial data augmentation for improved generalization and robustness","author":"zhao","year":"2020","journal-title":"Advances in neural information processing systems"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01266"},{"key":"ref27","article-title":"Generalizing to unseen domains via adversarial data augmentation","author":"volpi","year":"2018","journal-title":"Advances in neural information processing systems"},{"key":"ref3","article-title":"Cycada: Cycle-consistent adversarial domain adaptation","author":"hoffman","year":"2018","journal-title":"International Conference on Machine Learning"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-24947-6_42"},{"key":"ref29","article-title":"Multimodal unsupervised image-to-image translation","author":"huang","year":"2018","journal-title":"IEEE European Conference on Computer Vision"},{"key":"ref5","article-title":"What shapes feature representations? exploring datasets, architectures, and training","author":"hermann","year":"2020","journal-title":"Advances in neural information processing systems"},{"article-title":"A too-good-to-be-true prior to reduce shortcut reliance","year":"2021","author":"dagaev","key":"ref8"},{"article-title":"A survey on bias in visual datasets","year":"2021","author":"fabbrizzi","key":"ref7"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.322"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00922"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref20","article-title":"Unsupervised domain adaptation by backpropagation","author":"ganin","year":"2015","journal-title":"International Conference on Machine Learning"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/ICCVW.2019.00403"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.316"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00233"},{"article-title":"Out-of-distribution generalization via risk extrapolation (rex)","year":"2020","author":"krueger","key":"ref41"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00566"},{"article-title":"Gradient starvation: A learning proclivity in neural networks","year":"2020","author":"pezeshki","key":"ref26"},{"key":"ref25","article-title":"Self-challenging improves cross-domain generalization","author":"huang","year":"2020","journal-title":"IEEE European Conference on Computer Vision"}],"event":{"name":"2022 26th International Conference on Pattern Recognition (ICPR)","start":{"date-parts":[[2022,8,21]]},"location":"Montreal, QC, Canada","end":{"date-parts":[[2022,8,25]]}},"container-title":["2022 26th International Conference on Pattern Recognition (ICPR)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9956007\/9955631\/09956389.pdf?arnumber=9956389","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,12,19]],"date-time":"2022-12-19T20:04:30Z","timestamp":1671480270000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9956389\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,8,21]]},"references-count":41,"URL":"https:\/\/doi.org\/10.1109\/icpr56361.2022.9956389","relation":{},"subject":[],"published":{"date-parts":[[2022,8,21]]}}}