[
  {
    "id": "dl3-b-mixup-vicinal-risk-1",
    "type": "article",
    "title": "mixup: Beyond Empirical Risk Minimization",
    "author": [
      {
        "literal": "Hongyi Zhang"
      },
      {
        "literal": "Moustapha Cisse"
      },
      {
        "literal": "Yann N. Dauphin"
      },
      {
        "literal": "David Lopez-Paz"
      }
    ],
    "issued": {
      "date-parts": [
        [
          2017
        ]
      ]
    },
    "URL": "https://arxiv.org/abs/1710.09412",
    "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": "1710.09412"
  },
  {
    "id": "dl3-b-mixup-vicinal-risk-2",
    "type": "paper-conference",
    "title": "Manifold Mixup: Better Representations by Interpolating Hidden States",
    "author": [
      {
        "literal": "Vikas Verma"
      },
      {
        "literal": "Alex Lamb"
      },
      {
        "literal": "Christopher Beckham"
      },
      {
        "literal": "Amir Najafi"
      },
      {
        "literal": "Ioannis Mitliagkas"
      },
      {
        "literal": "David Lopez-Paz"
      },
      {
        "literal": "Yoshua Bengio"
      }
    ],
    "issued": {
      "date-parts": [
        [
          2019
        ]
      ]
    },
    "URL": "https://proceedings.mlr.press/v97/verma19a.html",
    "container-title": "Proceedings of the 36th International Conference on Machine Learning",
    "note": "Primary publisher or author arXiv abstract and metadata inspected via web on 2026-10-28; no independent proof or benchmark replication.",
    "volume": "97",
    "page": "6438-6447"
  },
  {
    "id": "dl3-b-mixup-vicinal-risk-3",
    "type": "article",
    "title": "CutMix: Regularization Strategy to Train Strong Classifiers with Localizable Features",
    "author": [
      {
        "literal": "Sangdoo Yun"
      },
      {
        "literal": "Dongyoon Han"
      },
      {
        "literal": "Seong Joon Oh"
      },
      {
        "literal": "Sanghyuk Chun"
      },
      {
        "literal": "Junsuk Choe"
      },
      {
        "literal": "Youngjoon Yoo"
      }
    ],
    "issued": {
      "date-parts": [
        [
          2019
        ]
      ]
    },
    "URL": "https://arxiv.org/abs/1905.04899",
    "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": "1905.04899"
  },
  {
    "id": "dl3-b-mixup-vicinal-risk-4",
    "type": "article",
    "title": "How Does Mixup Help With Robustness and Generalization?",
    "author": [
      {
        "literal": "Linjun Zhang"
      },
      {
        "literal": "Zhun Deng"
      },
      {
        "literal": "Kenji Kawaguchi"
      },
      {
        "literal": "Amirata Ghorbani"
      },
      {
        "literal": "James Zou"
      }
    ],
    "issued": {
      "date-parts": [
        [
          2020
        ]
      ]
    },
    "URL": "https://arxiv.org/abs/2010.04819",
    "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": "2010.04819"
  },
  {
    "id": "dl3-b-mixup-vicinal-risk-5",
    "type": "paper-conference",
    "title": "When and How Mixup Improves Calibration",
    "author": [
      {
        "literal": "Linjun Zhang"
      },
      {
        "literal": "Zhun Deng"
      },
      {
        "literal": "Kenji Kawaguchi"
      },
      {
        "literal": "James Zou"
      }
    ],
    "issued": {
      "date-parts": [
        [
          2022
        ]
      ]
    },
    "URL": "https://proceedings.mlr.press/v162/zhang22f.html",
    "container-title": "Proceedings of the 39th International Conference on Machine Learning",
    "note": "Primary publisher or author arXiv abstract and metadata inspected via web on 2026-10-28; no independent proof or benchmark replication.",
    "volume": "162",
    "page": "26135-26160"
  },
  {
    "id": "dl3-b-mixup-vicinal-risk-6",
    "type": "paper-conference",
    "title": "The Benefits of Mixup for Feature Learning",
    "author": [
      {
        "literal": "Difan Zou"
      },
      {
        "literal": "Yuan Cao"
      },
      {
        "literal": "Yuanzhi Li"
      },
      {
        "literal": "Quanquan Gu"
      }
    ],
    "issued": {
      "date-parts": [
        [
          2023
        ]
      ]
    },
    "URL": "https://proceedings.mlr.press/v202/zou23a.html",
    "container-title": "Proceedings of the 40th International Conference on Machine Learning",
    "note": "Primary publisher or author arXiv abstract and metadata inspected via web on 2026-10-28; no independent proof or benchmark replication.",
    "volume": "202",
    "page": "43423-43479"
  }
]