Towards Balanced Active Learning for Multimodal Classification

Author:

Shen Meng1ORCID,Huang Yizheng2ORCID,Yin Jianxiong3ORCID,Zou Heqing1ORCID,Rajan Deepu1ORCID,See Simon4ORCID

Affiliation:

1. Nanyang Technological University, Singapore, Singapore

2. Institute for Infocomm Research, A*STAR, Singapore, Singapore

3. NVIDIA, Singapore, Singapore

4. NVIDIA AI Tech Center, Singapore, Singapore

Publisher

ACM

Reference45 articles.

1. Look, Listen and Learn

2. David Arthur and Sergei Vassilvitskii . 2007 . k-means: the advantages of careful seeding . In Proceedings of the Eighteenth Annual ACM-SIAM Symposium on Discrete Algorithms, SODA 2007 , New Orleans, Louisiana, USA , January 7-9, 2007. SIAM, 1027--1035. http://dl.acm.org/citation.cfm?id=1283383.1283494 David Arthur and Sergei Vassilvitskii. 2007. k-means: the advantages of careful seeding. In Proceedings of the Eighteenth Annual ACM-SIAM Symposium on Discrete Algorithms, SODA 2007, New Orleans, Louisiana, USA, January 7-9, 2007. SIAM, 1027--1035. http://dl.acm.org/citation.cfm?id=1283383.1283494

3. Jordan T. Ash , Chicheng Zhang , Akshay Krishnamurthy , John Langford , and Alekh Agarwal . 2020 . Deep Batch Active Learning by Diverse , Uncertain Gradient Lower Bounds. In 8th International Conference on Learning Representations, ICLR 2020 , Addis Ababa, Ethiopia , April 26-30, 2020. OpenReview.net. https://openreview.net/forum?id=ryghZJBKPS Jordan T. Ash, Chicheng Zhang, Akshay Krishnamurthy, John Langford, and Alekh Agarwal. 2020. Deep Batch Active Learning by Diverse, Uncertain Gradient Lower Bounds. In 8th International Conference on Learning Representations, ICLR 2020, Addis Ababa, Ethiopia, April 26-30, 2020. OpenReview.net. https://openreview.net/forum?id=ryghZJBKPS

4. Multimodal Machine Learning: A Survey and Taxonomy

5. The Power of Ensembles for Active Learning in Image Classification

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