{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,29]],"date-time":"2024-10-29T14:40:40Z","timestamp":1730212840442,"version":"3.28.0"},"reference-count":38,"publisher":"IEEE","license":[{"start":{"date-parts":[[2024,6,16]],"date-time":"2024-06-16T00:00:00Z","timestamp":1718496000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,6,16]],"date-time":"2024-06-16T00:00:00Z","timestamp":1718496000000},"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":[[2024,6,16]]},"DOI":"10.1109\/cvpr52733.2024.00462","type":"proceedings-article","created":{"date-parts":[[2024,9,16]],"date-time":"2024-09-16T17:34:53Z","timestamp":1726508093000},"page":"4830-4839","source":"Crossref","is-referenced-by-count":0,"title":["In Search of a Data Transformation that Accelerates Neural Field Training"],"prefix":"10.1109","author":[{"given":"Junwon","family":"Seo","sequence":"first","affiliation":[{"name":"Pohang University of Science and Technology (POSTECH)"}]},{"given":"Sangyoon","family":"Lee","sequence":"additional","affiliation":[{"name":"Pohang University of Science and Technology (POSTECH)"}]},{"given":"Kwang In","family":"Kim","sequence":"additional","affiliation":[{"name":"Pohang University of Science and Technology (POSTECH)"}]},{"given":"Jaeho","family":"Lee","sequence":"additional","affiliation":[{"name":"Pohang University of Science and Technology (POSTECH)"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2017.150"},{"key":"ref2","article-title":"A closer look at memorization in deep networks","author":"Arpit","year":"2017","journal-title":"ICML"},{"key":"ref3","article-title":"The convergence rate of neural networks for learned functions of different frequencies","author":"Basri","year":"2019","journal-title":"NeurIPS"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00852"},{"key":"ref5","article-title":"Multiplicative filter networks","author":"Fathony","year":"2021","journal-title":"ICLR"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00542"},{"key":"ref7","article-title":"Qualitatively characterizing neural network optimization problems","author":"Goodfellow","year":"2015","journal-title":"ICLR"},{"key":"ref8","article-title":"Generalised implicit neural representations","author":"Grattarola","year":"2022","journal-title":"NeurIPS"},{"key":"ref9","article-title":"Implicit regularization in matrix factorization","author":"Gunasekar","year":"2017","journal-title":"NeurIPS"},{"key":"ref10","article-title":"Scalable neural video representations with learnable positional features","author":"Kim","year":"2022","journal-title":"NeurIPS"},{"journal-title":"Kodak dataset","year":"1999","author":"Kodak","key":"ref11"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/dcc58796.2024.00082"},{"key":"ref13","article-title":"Visualizing the loss landscape of neural nets","author":"Li","year":"2018","journal-title":"NeurIPS"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01577"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.00504"},{"key":"ref16","article-title":"Neural sparse voxel fields","volume-title":"NeurIPS","author":"Liu","year":"2020"},{"key":"ref17","article-title":"What do neural networks learn when trained with random labels?","author":"Maennel","year":"2020","journal-title":"NeurIPS"},{"issue":"4","key":"ref18","doi-asserted-by":"crossref","DOI":"10.1145\/3450626.3459785","article-title":"Marco Monteiro, and Gordon Wetzstein. ACORN: Adaptive coordinate networks for neural scene representation","volume":"40","author":"Martel","year":"2021","journal-title":"ACM Transactions on Graphics"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58452-8_24"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1145\/3528223.3530127"},{"key":"ref21","article-title":"In search of the real inductive bias: On the role of implicit regularization in deep learning","author":"Neyshabur","year":"2015","journal-title":"ICLR"},{"key":"ref22","article-title":"On the spectral bias of neural networks","author":"Rahaman","year":"2019","journal-title":"ICML"},{"key":"ref23","article-title":"Implicit regularization in deep learning may not be explainable by norms","author":"Razin","year":"2020","journal-title":"NeurIPS"},{"key":"ref24","article-title":"Modality-agnostic variational compression of implicit neural representations","author":"Schwarz","year":"2023","journal-title":"ICML"},{"issue":"112","key":"ref25","first-page":"1","article-title":"Measuring the effects of data parallelism on neural network training","volume":"20","author":"Shallue","year":"2019","journal-title":"Journal of Machine Learning Research"},{"key":"ref26","article-title":"MetaSDF: Meta-learning signed distance functions","author":"Sitzmann","year":"2020","journal-title":"NeurIPS"},{"key":"ref27","article-title":"Implicit neural representations with periodic activation functions","author":"Sitzmann","year":"2020","journal-title":"NeurIPS"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01120"},{"key":"ref29","article-title":"Fourier features let networks learn high frequency functions in low dimensional domains","author":"Tancik","year":"2020","journal-title":"NeurIPS"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00287"},{"volume-title":"Workshop and challenge on learned image compression (CLIC 2020)","year":"2020","author":"Toderici","key":"ref31"},{"key":"ref32","article-title":"Deep learning generalizes because the parameter-function map is biased towards simple functions","author":"Valle-P\u00e9rez","year":"2019","journal-title":"ICLR"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1111\/cgf.14505"},{"journal-title":"A fine-grained spectral perspective on neural networks","year":"2019","author":"Yang","key":"ref34"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1088\/2040-8978\/17\/7\/073001"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00570"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01863"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1145\/3446776"}],"event":{"name":"2024 IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR)","start":{"date-parts":[[2024,6,16]]},"location":"Seattle, WA, USA","end":{"date-parts":[[2024,6,22]]}},"container-title":["2024 IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/10654794\/10654797\/10656124.pdf?arnumber=10656124","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,9,19]],"date-time":"2024-09-19T06:18:43Z","timestamp":1726726723000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10656124\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,6,16]]},"references-count":38,"URL":"https:\/\/doi.org\/10.1109\/cvpr52733.2024.00462","relation":{},"subject":[],"published":{"date-parts":[[2024,6,16]]}}}