{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,1]],"date-time":"2026-04-01T03:31:46Z","timestamp":1775014306268,"version":"3.50.1"},"reference-count":41,"publisher":"IEEE","license":[{"start":{"date-parts":[[2022,10,9]],"date-time":"2022-10-09T00:00:00Z","timestamp":1665273600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,10,9]],"date-time":"2022-10-09T00:00:00Z","timestamp":1665273600000},"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":[[2022,10,9]]},"DOI":"10.1109\/smc53654.2022.9945326","type":"proceedings-article","created":{"date-parts":[[2022,11,18]],"date-time":"2022-11-18T15:49:04Z","timestamp":1668786544000},"page":"1-8","source":"Crossref","is-referenced-by-count":5,"title":["Task Detection in Continual Learning via Familiarity Autoencoders"],"prefix":"10.1109","author":[{"given":"Maxwell J.","family":"Jacobson","sequence":"first","affiliation":[{"name":"Purdue University,Department of Computer Science"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Case Q.","family":"Wright","sequence":"additional","affiliation":[{"name":"Purdue University,Department of Computer Science"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Nan","family":"Jiang","sequence":"additional","affiliation":[{"name":"Purdue University,Department of Computer Science"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Gustavo","family":"Rodriguez-Rivera","sequence":"additional","affiliation":[{"name":"Purdue University,Department of Computer Science"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yexiang","family":"Xue","sequence":"additional","affiliation":[{"name":"Purdue University,Department of Computer Science"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref39","article-title":"Playing atari with deep reinforcement learning","author":"mnih","year":"2013","journal-title":"arXiv preprint arXiv 1312 5602"},{"key":"ref38","first-page":"8024","article-title":"Pytorch: An imperative style, high-performance deep learning library","author":"paszke","year":"2019","journal-title":"NeurIPS"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.753"},{"key":"ref32","first-page":"2016","article-title":"One-shot learning using mixture of variational autoencoders: a generalization learning approach","author":"mocanu","year":"2018","journal-title":"AAMAS International Foundation for Autonomous Agents and Multiagent Systems Richland"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1145\/2689746.2689747"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1145\/1541880.1541882"},{"key":"ref37","article-title":"Minatar: An atari-inspired testbed for thorough and reproducible reinforcement learning experiments","author":"young","year":"2019","journal-title":"arXiv preprint arXiv 1903 03216"},{"key":"ref36","article-title":"Generative adversarial networks","volume":"abs 1406 2661","author":"goodfellow","year":"2014","journal-title":"CoRR"},{"key":"ref35","article-title":"Adversarial autoencoders","volume":"abs 1511 5644","author":"makhzani","year":"2015","journal-title":"CoRR"},{"key":"ref34","article-title":"Auto-encoding variational bayes","author":"kingma","year":"2014","journal-title":"ICLRE"},{"key":"ref10","first-page":"3987","article-title":"Continual learning through synaptic intelligence","volume":"70 pmlr","author":"zenke","year":"2017","journal-title":"ICML"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.425"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1007\/s10618-010-0201-y"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1137\/1.9781611972771.1"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2015.10.028"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/JPROC.2020.3004555"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1016\/j.tics.2020.09.004"},{"key":"ref16","first-page":"3366","article-title":"A continual learning survey: Defying forgetting in classification tasks","volume":"44","author":"lange","year":"2022","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"ref17","article-title":"Three scenarios for continual learning","volume":"abs 1904 7734","author":"van de ven","year":"2019","journal-title":"CoRR"},{"key":"ref18","first-page":"6467","article-title":"Gradient episodic memory for continual learning","author":"lopez-paz","year":"2017","journal-title":"NIPS"},{"key":"ref19","article-title":"Efficient lifelong learning with A-GEM","author":"chaudhry","year":"2019","journal-title":"ICLR (Poster)"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.21437\/Interspeech.2017-1637"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/S0079-7421(08)60536-8"},{"key":"ref27","first-page":"262","article-title":"Sim-to-real robot learning from pixels with progressive nets","volume":"78","author":"rusu","year":"2017","journal-title":"CoRL"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1162\/neco_a_01433"},{"key":"ref6","article-title":"Lifelong learning with dynamically expandable networks","author":"yoon","year":"2018","journal-title":"ICLR (Poster)"},{"key":"ref29","doi-asserted-by":"crossref","first-page":"504","DOI":"10.1126\/science.1127647","article-title":"Reducing the dimensionality of data with neural networks","volume":"313","author":"hinton","year":"2006","journal-title":"Science"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/S1364-6613(99)01294-2"},{"key":"ref8","article-title":"Pathnet: Evolution channels gradient descent in super neural networks","volume":"abs 1701 8734","author":"fernando","year":"2017","journal-title":"CoRR"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/ICESC48915.2020.9156028"},{"key":"ref2","first-page":"3366","article-title":"A continual learning survey: Defying forgetting in classification tasks","volume":"44","author":"lange","year":"2022","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1991.3.1.79"},{"key":"ref1","article-title":"Progressive neural networks","volume":"abs 1606 4671","author":"rusu","year":"2016","journal-title":"CoRR"},{"key":"ref20","doi-asserted-by":"crossref","first-page":"3521","DOI":"10.1073\/pnas.1611835114","article-title":"Overcoming catastrophic forgetting in neural networks","volume":"114","author":"kirkpatrick","year":"2017","journal-title":"Proceedings of the National Academy of Sciences"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2017.2773081"},{"key":"ref21","first-page":"144","article-title":"Memory aware synapses: Learning what (not) to forget","volume":"11207","author":"aljundi","year":"2018","journal-title":"ECCV"},{"key":"ref24","first-page":"348","article-title":"Experience replay for continual learning","author":"rolnick","year":"2019","journal-title":"NeurIPS"},{"key":"ref41","article-title":"Openai gym","volume":"abs 1606 1540","author":"brockman","year":"2016","journal-title":"CoRR"},{"key":"ref23","article-title":"Continual learning with deep generative replay","author":"shin","year":"2017","journal-title":"arXiv preprint arXiv 1705 08690"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN.2017.7965898"},{"key":"ref25","article-title":"Reinforced continual learning","author":"xu","year":"2018","journal-title":"arXiv preprint arXiv 1805 12369"}],"event":{"name":"2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","location":"Prague, Czech Republic","start":{"date-parts":[[2022,10,9]]},"end":{"date-parts":[[2022,10,12]]}},"container-title":["2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9945068\/9945069\/09945326.pdf?arnumber=9945326","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,12,12]],"date-time":"2022-12-12T14:54:16Z","timestamp":1670856856000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9945326\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,10,9]]},"references-count":41,"URL":"https:\/\/doi.org\/10.1109\/smc53654.2022.9945326","relation":{},"subject":[],"published":{"date-parts":[[2022,10,9]]}}}