[
  {
    "id": "dl3-b-curriculum-sampling-objectives-1",
    "type": "paper-conference",
    "title": "Curriculum Learning",
    "author": [
      {
        "literal": "Yoshua Bengio"
      },
      {
        "literal": "Jérôme Louradour"
      },
      {
        "literal": "Ronan Collobert"
      },
      {
        "literal": "Jason Weston"
      }
    ],
    "issued": {
      "date-parts": [
        [
          2009
        ]
      ]
    },
    "URL": "https://ronan.collobert.com/pub/matos/2009_curriculum_icml.pdf",
    "container-title": "Proceedings of the 26th 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."
  },
  {
    "id": "dl3-b-curriculum-sampling-objectives-2",
    "type": "paper-conference",
    "title": "Self-Paced Learning for Latent Variable Models",
    "author": [
      {
        "literal": "M. Pawan Kumar"
      },
      {
        "literal": "Benjamin Packer"
      },
      {
        "literal": "Daphne Koller"
      }
    ],
    "issued": {
      "date-parts": [
        [
          2010
        ]
      ]
    },
    "URL": "https://papers.nips.cc/paper/2010/hash/e57c6b956a6521b28495f2886ca0977a-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": "23",
    "page": "1189-1197"
  },
  {
    "id": "dl3-b-curriculum-sampling-objectives-3",
    "type": "paper-conference",
    "title": "On The Power of Curriculum Learning in Training Deep Networks",
    "author": [
      {
        "literal": "Guy Hacohen"
      },
      {
        "literal": "Daphna Weinshall"
      }
    ],
    "issued": {
      "date-parts": [
        [
          2019
        ]
      ]
    },
    "URL": "https://proceedings.mlr.press/v97/hacohen19a.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": "2535-2544"
  },
  {
    "id": "dl3-b-curriculum-sampling-objectives-4",
    "type": "article",
    "title": "Prioritized Experience Replay",
    "author": [
      {
        "literal": "Tom Schaul"
      },
      {
        "literal": "John Quan"
      },
      {
        "literal": "Ioannis Antonoglou"
      },
      {
        "literal": "David Silver"
      }
    ],
    "issued": {
      "date-parts": [
        [
          2015
        ]
      ]
    },
    "URL": "https://arxiv.org/abs/1511.05952",
    "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": "1511.05952"
  },
  {
    "id": "dl3-b-curriculum-sampling-objectives-5",
    "type": "paper-conference",
    "title": "Not All Samples Are Created Equal: Deep Learning with Importance Sampling",
    "author": [
      {
        "literal": "Angelos Katharopoulos"
      },
      {
        "literal": "François Fleuret"
      }
    ],
    "issued": {
      "date-parts": [
        [
          2018
        ]
      ]
    },
    "URL": "https://proceedings.mlr.press/v80/katharopoulos18a.html",
    "container-title": "Proceedings of the 35th 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": "80",
    "page": "2525-2534"
  },
  {
    "id": "dl3-b-curriculum-sampling-objectives-6",
    "type": "article-journal",
    "title": "Importance Sampling for Minibatches",
    "author": [
      {
        "literal": "Dominik Csiba"
      },
      {
        "literal": "Peter Richtárik"
      }
    ],
    "issued": {
      "date-parts": [
        [
          2018
        ]
      ]
    },
    "URL": "https://www.jmlr.org/papers/v19/16-241.html",
    "container-title": "Journal of Machine Learning Research",
    "note": "Primary publisher or author arXiv abstract and metadata inspected via web on 2026-10-28; no independent proof or benchmark replication.",
    "volume": "19",
    "issue": "27",
    "page": "1-21"
  }
]