Yue Fan (PhD Student)

MSc Yue Fan

Address
Max-Planck-Institut für Informatik
Saarland Informatics Campus
Campus E1 4
66123 Saarbrücken
Standort
E1 4 - 608
Telefon
+49 681 9325 2138
Fax
+49 681 9325 2099

Personal Information

Publications

2023

  1. Conference paper
    D2
    “SoftMatch: Addressing the Quantity-Quality Tradeoff in Semi-supervised Learning,” in Eleventh International Conference on Learning Representations (ICLR 2023), Kigali, Rwanda.
  2. Conference paper
    D2
    “FreeMatch: Self-adaptive Thresholding for Semi-supervised Learning,” in Eleventh International Conference on Learning Representations (ICLR 2023), Kigali, Rwanda.
  3. Conference paper
    D2
    “SSB: Simple but Strong Baseline for Boosting Performance of Open-Set Semi-Supervised Learning,” in IEEE/CVF International Conference on Computer Vision (ICCV 2023), Paris, France, 2023.
  4. Article
    D2
    “Revisiting Consistency Regularization for Semi-supervised Learning,” International Journal of Computer Vision, vol. 131, 2023.

2022

  1. Conference paper
    D4D2
    “USB: A Unified Semi-supervised Learning Benchmark for Classification,” in Advances in Neural Information Processing Systems 35 (NeurIPS 2022), New Orleans, LA, USA, 2022.
  2. Conference paper
    D2
    “CoSSL: Co-Learning of Representation and Classifier for Imbalanced Semi-Supervised Learning,” in IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2022), New Orleans, LA, USA, 2022.
  3. Paper
    D2
    “An Embarrassingly Simple Baseline for Imbalanced Semi-Supervised Learning,” 2022. [Online]. Available: https://arxiv.org/abs/2211.11086.

2021

  1. Conference paper
    D2
    “Revisiting Consistency Regularization for Semi-supervised Learning,” in Pattern Recognition (GCPR 2021), Bonn, Germany, 2022.

2020

  1. Conference paper
    D2
    “Analyzing the Dependency of ConvNets on Spatial Information,” in Pattern Recognition (GCPR 2020), Tübingen, Germany, 2021.
  2. Paper
    D2
    “Analyzing the Dependency of ConvNets on Spatial Information,” 2020. [Online]. Available: https://arxiv.org/abs/2002.01827.