1. Arazo, E., Ortego, D., Albert, P., O’Connor, N. E. & McGuinness, K. (2020). Pseudo-labeling and confirmation bias in deep semi-supervised learning. In IJCNN.
2. Bachman, P., Alsharif, O. & Precup, D. (2014). Learning with pseudo-ensembles. In NeurIPS.
3. Berthelot, D., Carlini, N., Goodfellow, I., Papernot, N., Oliver, A. & Raffel, C. (2019). MixMatch: a holistic approach to semi-supervised learning. In NeurIPS.
4. Berthelot, D., Carlini, N., Cubuk, E. D., Kurakin, A., Sohn, K., Zhang, H. & Raffel, C. (2020). Remixmatch: semi-supervised learning with distribution alignment and augmentation anchoring. In ICLR.
5. Cai, Z. & Vasconcelos, N. (2019). Cascade R-CNN: high quality object detection and instance segmentation. TPAMI.