{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,7]],"date-time":"2024-09-07T00:13:39Z","timestamp":1725668019000},"reference-count":38,"publisher":"IEEE","license":[{"start":{"date-parts":[[2023,6,18]],"date-time":"2023-06-18T00:00:00Z","timestamp":1687046400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,6,18]],"date-time":"2023-06-18T00:00:00Z","timestamp":1687046400000},"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":[[2023,6,18]]},"DOI":"10.1109\/ijcnn54540.2023.10191886","type":"proceedings-article","created":{"date-parts":[[2023,8,2]],"date-time":"2023-08-02T17:30:03Z","timestamp":1690997403000},"page":"1-10","source":"Crossref","is-referenced-by-count":0,"title":["CTVAE: Current Task Variational Auto-Encoder with Dynamic Ensemble Loss for Few-Shot Learning"],"prefix":"10.1109","author":[{"given":"Hao-Chin","family":"Su","sequence":"first","affiliation":[{"name":"National Taiwan University of Science and Technology,Dept. of Computer Science and Information Engineering,Taipei,Taiwan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yi-Ling","family":"Chen","sequence":"additional","affiliation":[{"name":"National Taiwan University of Science and Technology,Dept. of Computer Science and Information Engineering,Taipei,Taiwan"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref13","article-title":"Metric learning with adaptive density discrimination","author":"rippel","year":"2016","journal-title":"4th International Conference on Learning Representations ICLR 2016"},{"key":"ref35","article-title":"Transductive few-shot learning with meta-learned confidence","author":"kye","year":"2020","journal-title":"ArXiv Preprint"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-86340-1_39"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58571-6_31"},{"key":"ref15","article-title":"Few-shot learning with graph neural networks","author":"satorras","year":"2018","journal-title":"6th International Conference on Learning Representations ICLR 2018"},{"key":"ref37","article-title":"Transductive information maximization for few-shot learning","author":"boudiaf","year":"2020","journal-title":"ArXiv Preprint"},{"key":"ref14","first-page":"1842","article-title":"Meta-learning with memory-augmented neural networks","author":"santoro","year":"2016","journal-title":"International Conference on Machine Learning"},{"key":"ref36","doi-asserted-by":"crossref","DOI":"10.5244\/C.30.87","article-title":"Wide residual networks","author":"zagoruyko","year":"2016","journal-title":"Proceedings of the British Machine Vision Conference 2016 BMVC 2016"},{"key":"ref31","article-title":"A closer look at few-shot classification","author":"chen","year":"2019","journal-title":"7th International Conference on Learning Representations ICLR 2019"},{"key":"ref30","article-title":"Meta-learning with differentiable closed-form solvers","author":"bertinetto","year":"2019","journal-title":"7th International Conference on Learning Representations ICLR 2019"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00131"},{"key":"ref33","article-title":"Exploiting unsupervised inputs for accurate few-shot classification","author":"hu","year":"2020","journal-title":"ArXiv Preprint"},{"key":"ref10","article-title":"Prototypical networks for few-shot learning","author":"snell","year":"0","journal-title":"Advances in neural information processing systems"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58452-8_43"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2006.79"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2003.1238476"},{"key":"ref17","article-title":"Optimization as a model for few-shot learning","author":"ravi","year":"0","journal-title":"International Conference on Learning Representations"},{"key":"ref16","first-page":"1126","article-title":"Model-agnostic meta-learning for fast adaptation of deep networks","author":"finn","year":"2017","journal-title":"International Conference on Machine Learning"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58574-7_8"},{"key":"ref19","article-title":"Deep meta-learning: Learning to learn in the concept space","author":"zhou","year":"2018","journal-title":"ArXiv Preprint"},{"key":"ref18","article-title":"Meta-sgd: Learning to learn quickly for few-shot learning","author":"li","year":"2017","journal-title":"ArXiv Preprint"},{"key":"ref24","article-title":"Unsupervised representation learning by predicting image rotations","author":"gidaris","year":"2018","journal-title":"6th International Conference on Learning Representations ICLR 2018"},{"key":"ref23","first-page":"6438","article-title":"Manifold mixup: Better representations by interpolating hidden states","author":"verma","year":"2019","journal-title":"International Conference on Machine Learning"},{"key":"ref26","article-title":"Auto-encoding variational bayes","author":"kingma","year":"2014","journal-title":"2nd International Conference on Learning Representations ICLR 2014"},{"key":"ref25","article-title":"Discriminative unsupervised feature learning with convolutional neural networks","author":"dosovitskiy","year":"2014","journal-title":"Advances in Neural Information Processing Systems 27 Annual Conference on Neural Information Processing Systems 2014"},{"key":"ref20","article-title":"A baseline for few-shot image classification","author":"dhillon","year":"2020","journal-title":"8th International Conference on Learning Representations ICLR 2020"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/WACV45572.2020.9093338"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/72.788640"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-015-0816-y"},{"key":"ref27","first-page":"5767","article-title":"Improved training of wasserstein gans","author":"gulrajani","year":"2017","journal-title":"Advances in Neural Information Processing Systems 30 Annual Conference on Neural Information Processing Systems 2017"},{"journal-title":"The caltech-ucsd birds-200–2011 dataset","year":"2011","author":"wah","key":"ref29"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.01052"},{"key":"ref7","article-title":"Meta-learning for semi-supervised few-shot classification","author":"ren","year":"2018","journal-title":"6th International Conference on Learning Representations ICLR 2018"},{"key":"ref9","article-title":"Matching networks for one shot learning","author":"vinyals","year":"2016","journal-title":"Advances in neural information processing systems"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00010"},{"key":"ref3","article-title":"Cross attention network for few-shot classification","author":"hou","year":"0","journal-title":"Advances in neural information processing systems"},{"key":"ref6","article-title":"Learning to propagate labels: Transductive propagation network for few-shot learning","author":"liu","year":"2019","journal-title":"7th International Conference on Learning Representations ICLR 2019"},{"key":"ref5","article-title":"Learning to self-train for semi-supervised few-shot classification","author":"li","year":"0","journal-title":"Advances in neural information processing systems"}],"event":{"name":"2023 International Joint Conference on Neural Networks (IJCNN)","start":{"date-parts":[[2023,6,18]]},"location":"Gold Coast, Australia","end":{"date-parts":[[2023,6,23]]}},"container-title":["2023 International Joint Conference on Neural Networks (IJCNN)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10190990\/10190992\/10191886.pdf?arnumber=10191886","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,8,21]],"date-time":"2023-08-21T17:45:16Z","timestamp":1692639916000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10191886\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,6,18]]},"references-count":38,"URL":"https:\/\/doi.org\/10.1109\/ijcnn54540.2023.10191886","relation":{},"subject":[],"published":{"date-parts":[[2023,6,18]]}}}