Multiview Representation Learning from Crowdsourced Triplet Comparisons

Author:

Lu Xiaotian1ORCID,Li Jiyi2ORCID,Takeuchi Koh1ORCID,Kashima Hisashi1ORCID

Affiliation:

1. Kyoto University, Japan

2. University of Yamanashi, Japan

Funder

Japan Science and Technology Agency

Publisher

ACM

Reference29 articles.

1. Ehsan Amid and Antti Ukkonen . 2015 . Multiview triplet embedding: Learning attributes in multiple maps . In Proceedings of the 32nd International Conference on Machine Learning (ICML). 1472–1480 . Ehsan Amid and Antti Ukkonen. 2015. Multiview triplet embedding: Learning attributes in multiple maps. In Proceedings of the 32nd International Conference on Machine Learning (ICML). 1472–1480.

2. Ting Chen , Simon Kornblith , Mohammad Norouzi , and Geoffrey Hinton . 2020 . A simple framework for contrastive learning of visual representations . In Proceedings of the 37th International Conference on Machine Learning (CIML). PMLR, 1597–1607 . Ting Chen, Simon Kornblith, Mohammad Norouzi, and Geoffrey Hinton. 2020. A simple framework for contrastive learning of visual representations. In Proceedings of the 37th International Conference on Machine Learning (CIML). PMLR, 1597–1607.

3. Structured Probabilistic End-to-End Learning from Crowds

4. Learning a Similarity Metric Discriminatively, with Application to Face Verification

5. Learning from Crowds by Modeling Common Confusions

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1. A Comparative Study on Annotation Quality of Crowdsourcing and LLm Via Label Aggregation;ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2024-04-14

2. Learning Representations for Sparse Crowd Answers;Neural Information Processing;2023-11-14

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