"zero-shot learning" meaning in English

{
  "head_templates": [
    {
      "args": {
        "1": "-",
        "head": "zero-shot learning"
      },
      "expansion": "zero-shot learning (uncountable)",
      "name": "en-noun"
    }
  ],
  "lang": "English",
  "lang_code": "en",
  "pos": "noun",
  "senses": [
    {
      "categories": [
        {
          "kind": "other",
          "name": "English entries with incorrect language header",
          "parents": [
            "Entries with incorrect language header",
            "Entry maintenance"
          ],
          "source": "w"
        },
        {
          "kind": "other",
          "name": "Pages with 1 entry",
          "parents": [],
          "source": "w"
        },
        {
          "kind": "other",
          "name": "Pages with entries",
          "parents": [],
          "source": "w"
        },
        {
          "kind": "topical",
          "langcode": "en",
          "name": "Machine learning",
          "orig": "en:Machine learning",
          "parents": [
            "Artificial intelligence",
            "Computer science",
            "Cybernetics",
            "Computing",
            "Sciences",
            "Applied mathematics",
            "Systems theory",
            "Technology",
            "All topics",
            "Mathematics",
            "Systems",
            "Fundamental",
            "Formal sciences",
            "Interdisciplinary fields",
            "Society"
          ],
          "source": "w"
        }
      ],
      "glosses": [
        "A problem setup in machine learning, where, at test time, a learner observes samples from classes that were not observed during training and attempts to predict the class that they belong to, typically based on auxiliary information."
      ],
      "id": "en-zero-shot_learning-en-noun-xKdCPg6z",
      "links": [
        [
          "machine learning",
          "machine learning"
        ],
        [
          "problem",
          "problem"
        ],
        [
          "setup",
          "setup"
        ],
        [
          "test",
          "test"
        ],
        [
          "learner",
          "learner"
        ],
        [
          "observe",
          "observe"
        ],
        [
          "sample",
          "sample"
        ],
        [
          "class",
          "class"
        ],
        [
          "training",
          "training"
        ],
        [
          "predict",
          "predict"
        ],
        [
          "auxiliary",
          "auxiliary"
        ],
        [
          "information",
          "information"
        ]
      ],
      "qualifier": "machine learning",
      "raw_glosses": [
        "(machine learning) A problem setup in machine learning, where, at test time, a learner observes samples from classes that were not observed during training and attempts to predict the class that they belong to, typically based on auxiliary information."
      ],
      "tags": [
        "uncountable"
      ]
    }
  ],
  "word": "zero-shot learning"
}

{
  "head_templates": [
    {
      "args": {
        "1": "-",
        "head": "zero-shot learning"
      },
      "expansion": "zero-shot learning (uncountable)",
      "name": "en-noun"
    }
  ],
  "lang": "English",
  "lang_code": "en",
  "pos": "noun",
  "senses": [
    {
      "categories": [
        "English entries with incorrect language header",
        "English lemmas",
        "English multiword terms",
        "English nouns",
        "English uncountable nouns",
        "Pages with 1 entry",
        "Pages with entries",
        "en:Machine learning"
      ],
      "glosses": [
        "A problem setup in machine learning, where, at test time, a learner observes samples from classes that were not observed during training and attempts to predict the class that they belong to, typically based on auxiliary information."
      ],
      "links": [
        [
          "machine learning",
          "machine learning"
        ],
        [
          "problem",
          "problem"
        ],
        [
          "setup",
          "setup"
        ],
        [
          "test",
          "test"
        ],
        [
          "learner",
          "learner"
        ],
        [
          "observe",
          "observe"
        ],
        [
          "sample",
          "sample"
        ],
        [
          "class",
          "class"
        ],
        [
          "training",
          "training"
        ],
        [
          "predict",
          "predict"
        ],
        [
          "auxiliary",
          "auxiliary"
        ],
        [
          "information",
          "information"
        ]
      ],
      "qualifier": "machine learning",
      "raw_glosses": [
        "(machine learning) A problem setup in machine learning, where, at test time, a learner observes samples from classes that were not observed during training and attempts to predict the class that they belong to, typically based on auxiliary information."
      ],
      "tags": [
        "uncountable"
      ]
    }
  ],
  "word": "zero-shot learning"
}