[
  {
    "id": "dl3-b-label-noise-identifiability-1",
    "type": "paper-conference",
    "title": "Learning with Noisy Labels",
    "author": [
      {
        "literal": "Nagarajan Natarajan"
      },
      {
        "literal": "Inderjit S. Dhillon"
      },
      {
        "literal": "Pradeep K. Ravikumar"
      },
      {
        "literal": "Ambuj Tewari"
      }
    ],
    "issued": {
      "date-parts": [
        [
          2013
        ]
      ]
    },
    "URL": "https://papers.nips.cc/paper_files/paper/2013/hash/3871bd64012152bfb53fdf04b401193f-Abstract.html",
    "container-title": "Advances in Neural Information Processing Systems",
    "note": "Primary publisher or author arXiv abstract and metadata inspected via web on 2026-10-28; no independent proof or benchmark replication.",
    "volume": "26",
    "page": "1196-1204"
  },
  {
    "id": "dl3-b-label-noise-identifiability-2",
    "type": "paper-conference",
    "title": "Classification with Asymmetric Label Noise: Consistency and Maximal Denoising",
    "author": [
      {
        "literal": "Clayton Scott"
      },
      {
        "literal": "Gilles Blanchard"
      },
      {
        "literal": "Gregory Handy"
      }
    ],
    "issued": {
      "date-parts": [
        [
          2013
        ]
      ]
    },
    "URL": "https://proceedings.mlr.press/v30/Scott13.html",
    "container-title": "Proceedings of the 26th Annual Conference on Learning Theory",
    "note": "Primary publisher or author arXiv abstract and metadata inspected via web on 2026-10-28; no independent proof or benchmark replication.",
    "volume": "30",
    "page": "489-511"
  },
  {
    "id": "dl3-b-label-noise-identifiability-3",
    "type": "paper-conference",
    "title": "Making Deep Neural Networks Robust to Label Noise: A Loss Correction Approach",
    "author": [
      {
        "literal": "Giorgio Patrini"
      },
      {
        "literal": "Alessandro Rozza"
      },
      {
        "literal": "Aditya Krishna Menon"
      },
      {
        "literal": "Richard Nock"
      },
      {
        "literal": "Lizhen Qu"
      }
    ],
    "issued": {
      "date-parts": [
        [
          2017
        ]
      ]
    },
    "URL": "https://openaccess.thecvf.com/content_cvpr_2017/html/Patrini_Making_Deep_Neural_CVPR_2017_paper.html",
    "container-title": "Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)",
    "note": "Official CVF primary abstract and bibliographic metadata inspected through indexed web search on 2026-10-28; direct page access returned HTTP 403. No full proof or benchmark replication.",
    "page": "1944-1952"
  },
  {
    "id": "dl3-b-label-noise-identifiability-4",
    "type": "article",
    "title": "Confident Learning: Estimating Uncertainty in Dataset Labels",
    "author": [
      {
        "literal": "Curtis G. Northcutt"
      },
      {
        "literal": "Lu Jiang"
      },
      {
        "literal": "Isaac L. Chuang"
      }
    ],
    "issued": {
      "date-parts": [
        [
          2019
        ]
      ]
    },
    "URL": "https://arxiv.org/abs/1911.00068",
    "container-title": "arXiv preprint",
    "note": "Primary publisher or author arXiv abstract and metadata inspected via web on 2026-10-28; no independent proof or benchmark replication.",
    "archive": "arXiv",
    "archive_location": "1911.00068"
  },
  {
    "id": "dl3-b-label-noise-identifiability-5",
    "type": "article",
    "title": "Co-teaching: Robust Training of Deep Neural Networks with Extremely Noisy Labels",
    "author": [
      {
        "literal": "Bo Han"
      },
      {
        "literal": "Quanming Yao"
      },
      {
        "literal": "Xingrui Yu"
      },
      {
        "literal": "Gang Niu"
      },
      {
        "literal": "Miao Xu"
      },
      {
        "literal": "Weihua Hu"
      },
      {
        "literal": "Ivor W. Tsang"
      },
      {
        "literal": "Masashi Sugiyama"
      }
    ],
    "issued": {
      "date-parts": [
        [
          2018
        ]
      ]
    },
    "URL": "https://arxiv.org/abs/1804.06872",
    "container-title": "arXiv preprint",
    "note": "Primary publisher or author arXiv abstract and metadata inspected via web on 2026-10-28; no independent proof or benchmark replication.",
    "archive": "arXiv",
    "archive_location": "1804.06872"
  },
  {
    "id": "dl3-b-label-noise-identifiability-6",
    "type": "article",
    "title": "Generalized Cross Entropy Loss for Training Deep Neural Networks with Noisy Labels",
    "author": [
      {
        "literal": "Zhilu Zhang"
      },
      {
        "literal": "Mert R. Sabuncu"
      }
    ],
    "issued": {
      "date-parts": [
        [
          2018
        ]
      ]
    },
    "URL": "https://arxiv.org/abs/1805.07836",
    "container-title": "arXiv preprint",
    "note": "Primary publisher or author arXiv abstract and metadata inspected via web on 2026-10-28; no independent proof or benchmark replication.",
    "archive": "arXiv",
    "archive_location": "1805.07836"
  }
]