Shortcut learning in deep neural networks

Citation edge evidence

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• On the Opportunities and Risks of Foundation Models→Shortcut learning in deep neural networksLegacy edge — source detail unavailable
• Shortcut learning in deep neural networks→Exploiting Generative AI to Scale up Intelligent Tutoring SystemsLegacy edge — source detail unavailable
• Shortcut learning in deep neural networks→AI-Assisted Pipeline for Dynamic Generation of Trustworthy Health Supplement Content at S…Legacy edge — source detail unavailable
• Shortcut learning in deep neural networks→BERT: Pre-training of Deep Bidirectional Transformers for Language UnderstandingLegacy edge — source detail unavailable
• Shortcut learning in deep neural networks→Multilayer feedforward networks are universal approximatorsLegacy edge — source detail unavailable
• Shortcut learning in deep neural networks→"Why Should I Trust You?"Legacy edge — source detail unavailable
• Shortcut learning in deep neural networks→Mastering the game of Go with deep neural networks and tree searchLegacy edge — source detail unavailable
• Shortcut learning in deep neural networks→No free lunch theorems for optimizationLegacy edge — source detail unavailable
• Shortcut learning in deep neural networks→Multilayer feedforward networks are universal approximatorsLegacy edge — source detail unavailable
• Shortcut learning in deep neural networks→Attention Is All You NeedLegacy edge — source detail unavailable
• Shortcut learning in deep neural networks→Model-Agnostic Meta-Learning for Fast Adaptation of Deep NetworksLegacy edge — source detail unavailable
• Shortcut learning in deep neural networks→Intriguing properties of neural networksLegacy edge — source detail unavailable
• Shortcut learning in deep neural networks→“Why Should I Trust You?”: Explaining the Predictions of Any ClassifierLegacy edge — source detail unavailable
• Shortcut learning in deep neural networks→Deep learning and process understanding for data-driven Earth system scienceLegacy edge — source detail unavailable
• Shortcut learning in deep neural networks→On Assessing ML Model Robustness: A Methodological Framework (Academic Track)Legacy edge — source detail unavailable
• Shortcut learning in deep neural networks→Fairness through awarenessLegacy edge — source detail unavailable
• Shortcut learning in deep neural networks→Domain randomization for transferring deep neural networks from simulation to the real wo…Legacy edge — source detail unavailable
• Shortcut learning in deep neural networks→Deep visual domain adaptation: A surveyLegacy edge — source detail unavailable
• Shortcut learning in deep neural networks→The Unreasonable Effectiveness of DataLegacy edge — source detail unavailable
• Shortcut learning in deep neural networks→Agnostic Learning with Unknown UtilitiesLegacy edge — source detail unavailable
• Shortcut learning in deep neural networks→Learning deep representations by mutual information estimation and maximizationLegacy edge — source detail unavailable
• Multilayer feedforward networks are universal approximators→Multilayer feedforward networks are universal approximatorsLegacy edge — source detail unavailable
• Agnostic Learning with Unknown Utilities→Intriguing properties of neural networksLegacy edge — source detail unavailable
• Agnostic Learning with Unknown Utilities→Fairness through awarenessLegacy edge — source detail unavailable
• Agnostic Learning with Unknown Utilities→Mastering the game of Go with deep neural networks and tree searchLegacy edge — source detail unavailable
• “Why Should I Trust You?”: Explaining the Predictions of Any Classifier→"Why Should I Trust You?"Legacy edge — source detail unavailable
• On the Opportunities and Risks of Foundation Models→No free lunch theorems for optimizationLegacy edge — source detail unavailable
• On the Opportunities and Risks of Foundation Models→Mastering the game of Go with deep neural networks and tree searchLegacy edge — source detail unavailable
• On the Opportunities and Risks of Foundation Models→Agnostic Learning with Unknown UtilitiesLegacy edge — source detail unavailable
• On the Opportunities and Risks of Foundation Models→Model-Agnostic Meta-Learning for Fast Adaptation of Deep NetworksLegacy edge — source detail unavailable
• On the Opportunities and Risks of Foundation Models→BERT: Pre-training of Deep Bidirectional Transformers for Language UnderstandingLegacy edge — source detail unavailable