Prototypical Model with Information-Theoretic Loss Functions for Generalized Zero-Shot Learning - researchr publication related

researchr

You are not signed in
Sign in
Sign up

Chunlin Ji, Zhan Xiong, Meiying Zhang, Huiwen Yang, Feng Chen, Hanchun Shen. Prototypical Model with Information-Theoretic Loss Functions for Generalized Zero-Shot Learning. In Berrin Yanikoglu, Wray L. Buntine, editors, Asian Conference on Machine Learning, 11-14 November 2023, Istanbul, Turkey. Volume 222 of Proceedings of Machine Learning Research, pages 566-581, PMLR, 2023. [doi]

The following publications are possibly variants of this publication:

Dual Prototype Relaxation for Generalized Zero Shot LearningJie Zhang 0005, Haofeng Zhang, BingZhang Hu. icmcs 2021: 1-6 [doi]

Learning discriminative domain-invariant prototypes for generalized zero shot learningYinduo Wang, Haofeng Zhang, Zheng Zhang, Yang Long 0001, Ling Shao 0001. kbs, 196:105796, 2020. [doi]

Prototype-Augmented Self-Supervised Generative Network for Generalized Zero-Shot LearningJiamin Wu, Tianzhu Zhang, Zheng-Jun Zha, Jiebo Luo, Yongdong Zhang 0001, Feng Wu 0001. TIP, 33:1938-1951, 2024. [doi]

Dual Progressive Prototype Network for Generalized Zero-Shot LearningChaoqun Wang, Shaobo Min, Xuejin Chen, Xiaoyan Sun 0001, Houqiang Li. nips 2021: 2936-2948 [doi]

A Prototype-Based Generalized Zero-Shot Learning Framework for Hand Gesture RecognitionJinting Wu, Yujia Zhang, Xiaoguang Zhao. icpr 2021: 3435-3442 [doi]

Contrastive Prototype-Guided Generation for Generalized Zero-Shot LearningYunyun Wang, Jian Mao, Chenguang Guo, Songcan Chen. NN, 176:106324, 2024. [doi]

Generalized zero-shot domain adaptation with target unseen class prototype learningXiao Li, Min Fang, Bo Chen. nca, 34(20):17793-17807, 2022. [doi]

runs on WebDSL