Towards Effective Visual Representations for Partial-Label Learning

Author:

Xia Shiyu1,Lv Jiaqi2,Xu Ning1,Niu Gang2,Geng Xin1

Affiliation:

1. Southeast University

2. RIKEN Center for Advanced Intelligence Project

Publisher

IEEE

Reference41 articles.

1. Learning from Ambiguously Labeled Face Images

2. A simple framework for contrastive learning of visual representations;Chen,2020

3. Learning from partial labels;Cour;Journal of Machine Learning Research,2011

4. Provably consistent partial-label learning;Feng;Advances in Neural Information Processing Systems 33 (NeurIPS20),2020

5. Bootstrap your own latent - a new approach to self-supervised learning;Grill;Advances in Neural Information Processing Systems 33 (NeurIPS20),2020

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3. Self-distillation and self-supervision for partial label learning;Pattern Recognition;2024-02

4. Generalized Contrastive Partial Label Learning for Cross-Subject EEG-Based Emotion Recognition;IEEE Transactions on Instrumentation and Measurement;2024

5. Optimizing Transformer Training Based on Computation and Accessing Memory Features with Deep Learning Processor;2023 IEEE 29th International Conference on Parallel and Distributed Systems (ICPADS);2023-12-17

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