{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,8,22]],"date-time":"2025-08-22T17:10:04Z","timestamp":1755882604602,"version":"3.44.0"},"publisher-location":"New York, NY, USA","reference-count":30,"publisher":"ACM","license":[{"start":{"date-parts":[[2024,3,1]],"date-time":"2024-03-01T00:00:00Z","timestamp":1709251200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2024,3]]},"DOI":"10.1145\/3672919.3672942","type":"proceedings-article","created":{"date-parts":[[2024,7,24]],"date-time":"2024-07-24T12:39:43Z","timestamp":1721824783000},"page":"118-122","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Robust Uncertainty Estimation for Active Sampling"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0009-0006-1910-360X","authenticated-orcid":false,"given":"Yunlong","family":"Li","sequence":"first","affiliation":[{"name":"School of Artificial Intelligence, Jilin University, China"}]}],"member":"320","published-online":{"date-parts":[[2024,7,24]]},"reference":[{"key":"e_1_3_2_1_1_1","first-page":"1767","volume-title":"S 2011 Two faces of active learning Theoretical computer science 412(19)","author":"Dasgupta","unstructured":"Dasgupta S 2011 Two faces of active learning Theoretical computer science 412(19): 1767-1781."},{"key":"e_1_3_2_1_2_1","first-page":"301","volume-title":"Trischler A 2017 Learning algorithms for active learning international conference on machine learning. PMLR","author":"Bachman P","unstructured":"Bachman P, Sordoni A, and Trischler A 2017 Learning algorithms for active learning international conference on machine learning. PMLR pp 301-310."},{"key":"e_1_3_2_1_3_1","first-page":"436","volume-title":"Bengio Y and Hinton G 2015 Deep learning nature 521(7553)","author":"LeCun Y","unstructured":"LeCun Y, Bengio Y and Hinton G 2015 Deep learning nature 521(7553): 436-444."},{"key":"e_1_3_2_1_4_1","first-page":"2372","volume-title":"Porikli F and Papanikolopoulos N 2009 Multi-class active learning for image classification 2009 ieee conference on computer vision and pattern recognition. IEEE","author":"Joshi A J","unstructured":"Joshi A J, Porikli F and Papanikolopoulos N 2009 Multi-class active learning for image classification 2009 ieee conference on computer vision and pattern recognition. IEEE pp 2372-2379."},{"key":"e_1_3_2_1_5_1","first-page":"10264","volume-title":"Lee H J and 2021 Active learning for deep object detection via probabilistic modeling Proceedings of the IEEE\/CVF International Conference on Computer Vision","author":"Choi J","unstructured":"Choi J, Elezi I, Lee H J and 2021 Active learning for deep object detection via probabilistic modeling Proceedings of the IEEE\/CVF International Conference on Computer Vision pp 10264-10273."},{"key":"e_1_3_2_1_6_1","first-page":"9433","volume-title":"Valentin J and Nie\u00dfner M 2020 Viewal: Active learning with viewpoint entropy for emantic segmentation Proceedings of the IEEE\/CVF conference on computer vision and pattern recognition","author":"Siddiqui Y","unstructured":"Siddiqui Y, Valentin J and Nie\u00dfner M 2020 Viewal: Active learning with viewpoint entropy for emantic segmentation Proceedings of the IEEE\/CVF conference on computer vision and pattern recognition pp 9433-9443."},{"key":"e_1_3_2_1_7_1","first-page":"1183","volume-title":"Islam R and Ghahramani Z 2017 Deep bayesian active learning with image data International conference on machine learning. PMLR","author":"Gal Y","unstructured":"Gal Y, Islam R and Ghahramani Z 2017 Deep bayesian active learning with image data International conference on machine learning. PMLR pp 1183-1192."},{"key":"e_1_3_2_1_8_1","unstructured":"Houlsby N Husz\u00e1r F Ghahramani Z 2011 Bayesian active learning for classification and preference learning arXiv preprint arXiv:1112.5745."},{"key":"e_1_3_2_1_9_1","unstructured":"Huang S J Jin R and Zhou Z H 2010 Active learning by querying informative and representative examples Advances in neural information processing systems 23."},{"key":"e_1_3_2_1_10_1","unstructured":"Kirsch A Van Amersfoort J Gal Y 2019 Batchbald: Efficient and diverse batch acquisition for deep bayesian active learning Advances in Neural Information Processing Systems 32."},{"key":"e_1_3_2_1_11_1","first-page":"5972","volume-title":"Ebrahimi S and Darrell T 2019 Variational adversarial active learning Proceedings of the IEEE\/CVF International Conference on Computer Vision","author":"Sinha S","unstructured":"Sinha S, Ebrahimi S and Darrell T 2019 Variational adversarial active learning Proceedings of the IEEE\/CVF International Conference on Computer Vision pp 5972-5981."},{"key":"e_1_3_2_1_12_1","first-page":"9368","volume-title":"N\u00fcrnberger A and 2018 The power of ensembles for active learning in image classification Proceedings of the IEEE conference on computer vision and pattern recognition","author":"Beluch W H","unstructured":"Beluch W H, Genewein T, N\u00fcrnberger A and 2018 The power of ensembles for active learning in image classification Proceedings of the IEEE conference on computer vision and pattern recognition pp 9368-9377."},{"key":"e_1_3_2_1_13_1","unstructured":"Kim Y Y Song K Jang J H and 2021 Lada: Look-ahead data acquisition via augmentation for deep active learning Advances in Neural Information Processing Systems 34: 22919-22930."},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"crossref","unstructured":"Wang K Zhang D Li Y and 2016 Cost-effective active learning for deep image classification IEEE Transactions on Circuits and Systems for Video Technology 27(12): 2591-2600.","DOI":"10.1109\/TCSVT.2016.2589879"},{"volume-title":"Savarese S 2018 Active Learning for Convolutional Neural Networks: A Core-Set Discriminative active learning Approach International Conference on Learning Representations.","author":"Sener O","key":"e_1_3_2_1_15_1","unstructured":"Sener O and Savarese S 2018 Active Learning for Convolutional Neural Networks: A Core-Set Discriminative active learning Approach International Conference on Learning Representations."},{"volume-title":"Shalev-Shwartz S 2019 Discriminative active learning arXiv preprint arXiv:1907","author":"Gissin D","key":"e_1_3_2_1_16_1","unstructured":"Gissin D and Shalev-Shwartz S 2019 Discriminative active learning arXiv preprint arXiv:1907.06347."},{"key":"e_1_3_2_1_17_1","unstructured":"Baram Y Yaniv R E Luz K 2004 Online choice of active learning algorithms Journal of Machine Learning Research 5(Mar): 255-291."},{"volume-title":"Lin H T 2015 Active learning by learning Proceedings of the AAAI Conference on Artificial Intelligence 29(1).","author":"Hsu W N","key":"e_1_3_2_1_18_1","unstructured":"Hsu W N, Lin H T 2015 Active learning by learning Proceedings of the AAAI Conference on Artificial Intelligence 29(1)."},{"key":"e_1_3_2_1_19_1","first-page":"8175","volume-title":"Dekel A and Weinshall D 2022 Active Learning on a Budget: Opposite Strategies Suit High and Low Budgets International Conference on Machine Learning. PMLR","author":"Hacohen G","unstructured":"Hacohen G, Dekel A and Weinshall D 2022 Active Learning on a Budget: Opposite Strategies Suit High and Low Budgets International Conference on Machine Learning. PMLR pp 8175-8195."},{"key":"e_1_3_2_1_20_1","first-page":"93","volume-title":"Kweon I S 2019 Learning loss for active learning Proceedings of the IEEE\/CVF conference on computer vision and pattern recognition","author":"Yoo D","unstructured":"Yoo D and Kweon I S 2019 Learning loss for active learning Proceedings of the IEEE\/CVF conference on computer vision and pattern recognition pp 93-102."},{"key":"e_1_3_2_1_21_1","first-page":"9583","volume-title":"Bhattarai B and Kim T K 2021 Sequential graph convolutional network for active learning Proceedings of the IEEE\/CVF conference on computer vision and pattern recognition","author":"Caramalau R","unstructured":"Caramalau R, Bhattarai B and Kim T K 2021 Sequential graph convolutional network for active learning Proceedings of the IEEE\/CVF conference on computer vision and pattern recognition pp 9583-9592."},{"key":"e_1_3_2_1_22_1","first-page":"12237","volume-title":"Teney D and 2022 Active learning by feature mixing Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition","author":"Parvaneh A","unstructured":"Parvaneh A, Abbasnejad E, Teney D and 2022 Active learning by feature mixing Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition pp 12237-12246."},{"key":"e_1_3_2_1_23_1","first-page":"770","volume-title":"Ren S and 2016 Deep residual learning for image recognition Proceedings of the IEEE conference on computer vision and pattern recognition","author":"He K","unstructured":"He K, Zhang X, Ren S and 2016 Deep residual learning for image recognition Proceedings of the IEEE conference on computer vision and pattern recognition pp 770-778."},{"key":"e_1_3_2_1_24_1","unstructured":"Krizhevsky A and Hinton G 2009 Learning multiple layers of features from tiny images."},{"key":"e_1_3_2_1_25_1","volume-title":"Ibarz J and 2013 Multi-digit number recognition from street view imagery using deep convolutional neural networks arXiv preprint arXiv:1312.6082","author":"Goodfellow I J","year":"2013","unstructured":"Goodfellow I J, Bulatov Y, Ibarz J and 2013 Multi-digit number recognition from street view imagery using deep convolutional neural networks arXiv preprint arXiv:1312.6082, 2013."},{"key":"e_1_3_2_1_26_1","volume-title":"Rasul K and Vollgraf R 2017 Fashion-mnist: a novel image dataset for benchmarking machine learning algorithms arXiv preprint arXiv:1708","author":"Xiao H","year":"2017","unstructured":"Xiao H, Rasul K and Vollgraf R 2017 Fashion-mnist: a novel image dataset for benchmarking machine learning algorithms arXiv preprint arXiv:1708.07747, 2017."},{"key":"e_1_3_2_1_27_1","first-page":"6872","volume-title":"Tsang I W 2021 Distribution disagreement via lorentzian focal representation IEEE Transactions on Pattern Analysis and Machine Intelligence 44(10)","author":"Cao X","unstructured":"Cao X and Tsang I W 2021 Distribution disagreement via lorentzian focal representation IEEE Transactions on Pattern Analysis and Machine Intelligence 44(10): 6872-6889."},{"key":"e_1_3_2_1_28_1","doi-asserted-by":"crossref","unstructured":"Cao X Tsang I W and Xu 2023 Data-efficient learning via minimizing hyperspherical energy IEEE Transactions on Pattern Analysis and Machine Intelligence.","DOI":"10.1109\/TPAMI.2023.3290544"},{"key":"e_1_3_2_1_29_1","doi-asserted-by":"crossref","unstructured":"Cao X and Tsang I W 2020 Shattering distribution for active learning IEEE transactions on neural networks and learning systems 33(1): 215-228.","DOI":"10.1109\/TNNLS.2020.3027605"},{"key":"e_1_3_2_1_30_1","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2021.3069956"}],"event":{"name":"CSAIDE 2024: 2024 3rd International Conference on Cyber Security, Artificial Intelligence and Digital Economy","acronym":"CSAIDE 2024","location":"Nanjing China"},"container-title":["Proceedings of the 2024 3rd International Conference on Cyber Security, Artificial Intelligence and Digital Economy"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3672919.3672942","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3672919.3672942","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,8,22]],"date-time":"2025-08-22T16:36:31Z","timestamp":1755880591000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3672919.3672942"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,3]]},"references-count":30,"alternative-id":["10.1145\/3672919.3672942","10.1145\/3672919"],"URL":"https:\/\/doi.org\/10.1145\/3672919.3672942","relation":{},"subject":[],"published":{"date-parts":[[2024,3]]},"assertion":[{"value":"2024-07-24","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}