{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,30]],"date-time":"2024-10-30T05:33:57Z","timestamp":1730266437241,"version":"3.28.0"},"reference-count":40,"publisher":"IEEE","license":[{"start":{"date-parts":[[2021,7,18]],"date-time":"2021-07-18T00:00:00Z","timestamp":1626566400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,7,18]],"date-time":"2021-07-18T00:00:00Z","timestamp":1626566400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,7,18]],"date-time":"2021-07-18T00:00:00Z","timestamp":1626566400000},"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":[[2021,7,18]]},"DOI":"10.1109\/ijcnn52387.2021.9534292","type":"proceedings-article","created":{"date-parts":[[2021,9,21]],"date-time":"2021-09-21T20:40:52Z","timestamp":1632256852000},"page":"1-8","source":"Crossref","is-referenced-by-count":4,"title":["Improving Meta-Learning Classification with Prototype Enhancement"],"prefix":"10.1109","author":[{"given":"Xiaohang","family":"Pan","sequence":"first","affiliation":[]},{"given":"Fanzhang","family":"Li","sequence":"additional","affiliation":[]},{"given":"Li","family":"Liu","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-015-0816-y"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.29007\/f7jx"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00883"},{"key":"ref31","article-title":"A baseline for few-shot image classification","author":"dhillon","year":"2020","journal-title":"ICLR 2020 Eighth International Conference on Learning Representations"},{"key":"ref30","first-page":"4003","article-title":"Cross attention network for few-shot classification","volume":"32","author":"hou","year":"2019","journal-title":"Advances in neural information processing systems"},{"key":"ref37","article-title":"Empirical bayes transductive meta-learning with synthetic gradients","author":"hu","year":"2020","journal-title":"ICLR 2020 Eighth International Conference on Learning Representations"},{"key":"ref36","article-title":"A new meta-baseline for few-shot learning","author":"chen","year":"2020","journal-title":"ArXiv Preprint"},{"key":"ref35","first-page":"10617","article-title":"Metafun: Meta-learning with iterative functional updates","volume":"1","author":"xu","year":"2020","journal-title":"ICML 2020 37th International Conference on Machine Learning"},{"key":"ref34","first-page":"13499","article-title":"Attentive weights generation for few shot learning via information maximization","author":"guo","year":"2020","journal-title":"2020 IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR)"},{"key":"ref10","first-page":"1126","article-title":"Model-agnostic meta-learning for fast adaptation of deep networks","volume":"70","author":"finn","year":"2017","journal-title":"ICML'17 Proceedings of the 34th International Conference on Machine Learning"},{"key":"ref40","article-title":"Visualizing data using t-sne","volume":"9","author":"van der maaten","year":"2008","journal-title":"Journal of Machine Learning Research"},{"key":"ref11","article-title":"Meta-learning with latent embedding optimization","author":"rusu","year":"2018","journal-title":"International Conference on Learning Representations"},{"key":"ref12","first-page":"1","article-title":"Multimodal model-agnostic meta-learning via task-aware modulation","volume":"32","author":"vuorio","year":"2019","journal-title":"Advances in neural information processing systems"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.01199"},{"key":"ref14","article-title":"How to train your maml","author":"antoniou","year":"2018","journal-title":"International Conference on Learning Representations"},{"key":"ref15","article-title":"ES-MAML: simple hessian-free meta learning","author":"song","year":"2020","journal-title":"8th International Conference on Learning Representations ICLR 2020"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.01091"},{"key":"ref17","first-page":"3637","article-title":"Matching networks for one shot learning","volume":"29","author":"vinyals","year":"2016","journal-title":"NIPS'16 Proceedings of the 30th International Conference on Neural Information Processing Systems"},{"key":"ref18","first-page":"4077","article-title":"Prototypical networks for few-shot learning","volume":"30","author":"snell","year":"2017","journal-title":"Advances in neural information processing systems"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00009"},{"key":"ref28","first-page":"4136","article-title":"Adaptive subspaces for few-shot learning","author":"simon","year":"2020","journal-title":"2020 IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR)"},{"key":"ref4","first-page":"721","article-title":"Tadam: Task dependent adaptive metric for improved few-shot learning","volume":"31","author":"oreshkin","year":"2018","journal-title":"Advances in neural information processing systems"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN48605.2020.9206909"},{"journal-title":"Evolutionary principles in self-referential learning or on learning how to learn the meta-meta-&#x2026; hook","year":"1987","author":"schmidhuber","key":"ref3"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/72.788640"},{"key":"ref29","article-title":"Learning to propagate labels: Transductive propagation network for few-shot learning","author":"liu","year":"2019","journal-title":"International Conference on Learning Representations"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/WACV45572.2020.9093623"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00429"},{"key":"ref7","article-title":"Learning to remember rare events","author":"kaiser","year":"2017","journal-title":"ArXiv Preprint"},{"key":"ref2","first-page":"657","article-title":"Learning many related tasks at the same time with backpropagation","author":"caruana","year":"1995","journal-title":"Advances in neural information processing systems"},{"key":"ref9","article-title":"A simple neural attentive meta-learner","author":"mishra","year":"2017","journal-title":"ArXiv Preprint"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1111\/j.2044-8279.1985.tb02625.x"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1016\/j.jvcir.2019.02.006"},{"key":"ref22","article-title":"Deepemd: Differentiable earth mover's distance for few-shot learning","author":"zhang","year":"2020","journal-title":"ArXiv Preprint"},{"key":"ref21","first-page":"3063","article-title":"Meta-reinforced synthetic data for one-shot fine-grained visual recognition","volume":"32","author":"tsutsui","year":"2019","journal-title":"Advances in neural information processing systems"},{"key":"ref24","first-page":"4847","article-title":"Adaptive cross-modal few-shot learning","volume":"32","author":"xing","year":"2019","journal-title":"Advances in neural information processing systems"},{"key":"ref23","first-page":"118","article-title":"Sen: A novel feature normalization dissimilarity measure for prototypical few-shot learning networks","author":"nguyen","year":"2020","journal-title":"ECCV"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00131"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01259"}],"event":{"name":"2021 International Joint Conference on Neural Networks (IJCNN)","start":{"date-parts":[[2021,7,18]]},"location":"Shenzhen, China","end":{"date-parts":[[2021,7,22]]}},"container-title":["2021 International Joint Conference on Neural Networks (IJCNN)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9533266\/9533267\/09534292.pdf?arnumber=9534292","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T15:46:07Z","timestamp":1652197567000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9534292\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,7,18]]},"references-count":40,"URL":"https:\/\/doi.org\/10.1109\/ijcnn52387.2021.9534292","relation":{},"subject":[],"published":{"date-parts":[[2021,7,18]]}}}