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  "author": "Daniel T. Chang",
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      "title": "Concept Representation Learning"
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      "title": "Concept Representation Learning"
            
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      "description": "",
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      "description": "",
            
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      "name": "contrastive-self-supervised-learning",
            
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      "title": "Contrastive Self-Supervised Learning"
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      "title": "Contrastive Self-Supervised Learning"
            
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pt-representation-learning-with-contrastive-self-supervised-learning",
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pt-representation-learning-with-contrastive-self-supervised-learning",
            
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  "notes": "Concept-oriented deep learning (CODL) is a general 
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  "notes": "Concept-oriented deep learning (CODL) is a general 
            
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approach to meet the future challenges for deep learning: learning 
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approach to meet the future challenges for deep learning: learning 
            
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with little or no external supervision, coping with test examples that 
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with little or no external supervision, coping with test examples that 
            
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come from a different distribution than the training examples, and 
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come from a different distribution than the training examples, and 
            
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integrating deep learning with symbolic AI.",
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integrating deep learning with symbolic AI.",
            
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      "display_name": "Deep Learning",
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  "title": "Concept Representation Learning with Contrastive 
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  "title": "Concept Representation Learning with Contrastive 
            
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Self-Supervised Learning",
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Self-Supervised Learning",
            
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}
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}