Distilling the Knowledge in a Neural Network

Citation edge evidence

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• Xception: Deep Learning with Depthwise Separable Convolutions→Distilling the Knowledge in a Neural NetworkLegacy edge — source detail unavailable
• Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challe…→Distilling the Knowledge in a Neural NetworkLegacy edge — source detail unavailable
• Peeking Inside the Black-Box: A Survey on Explainable Artificial Intelligence (XAI)→Distilling the Knowledge in a Neural NetworkLegacy edge — source detail unavailable
• Emerging Properties in Self-Supervised Vision Transformers→Distilling the Knowledge in a Neural NetworkLegacy edge — source detail unavailable
• DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter→Distilling the Knowledge in a Neural NetworkLegacy edge — source detail unavailable
• Membership Inference Attacks Against Machine Learning Models→Distilling the Knowledge in a Neural NetworkLegacy edge — source detail unavailable
• Deep Reinforcement Learning: A Brief Survey→Distilling the Knowledge in a Neural NetworkLegacy edge — source detail unavailable
• Learning without Forgetting→Distilling the Knowledge in a Neural NetworkLegacy edge — source detail unavailable
• Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer→Distilling the Knowledge in a Neural NetworkLegacy edge — source detail unavailable
• Unsupervised Feature Learning via Non-parametric Instance Discrimination→Distilling the Knowledge in a Neural NetworkLegacy edge — source detail unavailable
• Deep Convolutional Neural Networks for Image Classification: A Comprehensive Review→Distilling the Knowledge in a Neural NetworkLegacy edge — source detail unavailable
• Grad-CAM++: Generalized Gradient-Based Visual Explanations for Deep Convolutional Networks→Distilling the Knowledge in a Neural NetworkLegacy edge — source detail unavailable
• Continual lifelong learning with neural networks: A review→Distilling the Knowledge in a Neural NetworkLegacy edge — source detail unavailable
• Language Models are Few-Shot Learners→Distilling the Knowledge in a Neural NetworkLegacy edge — source detail unavailable
• On the Opportunities and Risks of Foundation Models→Distilling the Knowledge in a Neural NetworkLegacy edge — source detail unavailable
• Deep visual domain adaptation: A survey→Distilling the Knowledge in a Neural NetworkLegacy edge — source detail unavailable
• Ensemble deep learning: A review→Distilling the Knowledge in a Neural NetworkLegacy edge — source detail unavailable
• Threat of Adversarial Attacks on Deep Learning in Computer Vision: A Survey→Distilling the Knowledge in a Neural NetworkLegacy edge — source detail unavailable
• Machine Learning Interpretability: A Survey on Methods and Metrics→Distilling the Knowledge in a Neural NetworkLegacy edge — source detail unavailable
• Adversarial Examples: Attacks and Defenses for Deep Learning→Distilling the Knowledge in a Neural NetworkLegacy edge — source detail unavailable
• ZOO→Distilling the Knowledge in a Neural NetworkLegacy edge — source detail unavailable
• On Calibration of Modern Neural Networks→Distilling the Knowledge in a Neural NetworkLegacy edge — source detail unavailable
• TinyBERT: Distilling BERT for Natural Language Understanding→Distilling the Knowledge in a Neural NetworkLegacy edge — source detail unavailable
• AutoML: A survey of the state-of-the-art→Distilling the Knowledge in a Neural NetworkLegacy edge — source detail unavailable
• Text Data Augmentation for Deep Learning→Distilling the Knowledge in a Neural NetworkLegacy edge — source detail unavailable
• Explainable Artificial Intelligence (XAI): What we know and what is left to attain Trustw…→Distilling the Knowledge in a Neural NetworkLegacy edge — source detail unavailable
• Relational Knowledge Distillation→Distilling the Knowledge in a Neural NetworkLegacy edge — source detail unavailable
• A Gift from Knowledge Distillation: Fast Optimization, Network Minimization and Transfer …→Distilling the Knowledge in a Neural NetworkLegacy edge — source detail unavailable
• A continual learning survey: Defying forgetting in classification tasks→Distilling the Knowledge in a Neural NetworkLegacy edge — source detail unavailable
• Unsupervised Data Augmentation for Consistency Training→Distilling the Knowledge in a Neural NetworkLegacy edge — source detail unavailable
• Distilling the Knowledge in a Neural Network→Dropout: a simple way to prevent neural networks from overfittingLegacy edge — source detail unavailable
• Distilling the Knowledge in a Neural Network→Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Fou…Legacy edge — source detail unavailable
• Distilling the Knowledge in a Neural Network→Ensemble Methods in Machine LearningLegacy edge — source detail unavailable
• Distilling the Knowledge in a Neural Network→Improving neural networks by preventing co-adaptation of feature detectorsLegacy edge — source detail unavailable
• Distilling the Knowledge in a Neural Network→Adaptive Mixtures of Local ExpertsLegacy edge — source detail unavailable
• Distilling the Knowledge in a Neural Network→Model compressionLegacy edge — source detail unavailable
• Improving neural networks by preventing co-adaptation of feature detectors→Adaptive Mixtures of Local ExpertsLegacy edge — source detail unavailable
• Membership Inference Attacks Against Machine Learning Models→Dropout: a simple way to prevent neural networks from overfittingLegacy edge — source detail unavailable
• Deep Convolutional Neural Networks for Image Classification: A Comprehensive Review→Improving neural networks by preventing co-adaptation of feature detectorsLegacy edge — source detail unavailable
• Deep Convolutional Neural Networks for Image Classification: A Comprehensive Review→Dropout: a simple way to prevent neural networks from overfittingLegacy edge — source detail unavailable
• Deep Convolutional Neural Networks for Image Classification: A Comprehensive Review→Xception: Deep Learning with Depthwise Separable ConvolutionsLegacy edge — source detail unavailable
• Unsupervised Data Augmentation for Consistency Training→Xception: Deep Learning with Depthwise Separable ConvolutionsLegacy edge — source detail unavailable
• Threat of Adversarial Attacks on Deep Learning in Computer Vision: A Survey→Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Fou…Legacy edge — source detail unavailable
• Threat of Adversarial Attacks on Deep Learning in Computer Vision: A Survey→ZOOLegacy edge — source detail unavailable
• Relational Knowledge Distillation→Model compressionLegacy edge — source detail unavailable
• Relational Knowledge Distillation→A Gift from Knowledge Distillation: Fast Optimization, Network Minimization and Transfer …Legacy edge — source detail unavailable
• Adversarial Examples: Attacks and Defenses for Deep Learning→Membership Inference Attacks Against Machine Learning ModelsLegacy edge — source detail unavailable
• Adversarial Examples: Attacks and Defenses for Deep Learning→ZOOLegacy edge — source detail unavailable
• Machine Learning Interpretability: A Survey on Methods and Metrics→Peeking Inside the Black-Box: A Survey on Explainable Artificial Intelligence (XAI)Legacy edge — source detail unavailable
• AutoML: A survey of the state-of-the-art→Learning without ForgettingLegacy edge — source detail unavailable
• AutoML: A survey of the state-of-the-art→Xception: Deep Learning with Depthwise Separable ConvolutionsLegacy edge — source detail unavailable
• AutoML: A survey of the state-of-the-art→A Gift from Knowledge Distillation: Fast Optimization, Network Minimization and Transfer …Legacy edge — source detail unavailable
• Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challe…→Model compressionLegacy edge — source detail unavailable
• Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challe…→Peeking Inside the Black-Box: A Survey on Explainable Artificial Intelligence (XAI)Legacy edge — source detail unavailable
• Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challe…→Adversarial Examples: Attacks and Defenses for Deep LearningLegacy edge — source detail unavailable
• Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer→Dropout: a simple way to prevent neural networks from overfittingLegacy edge — source detail unavailable
• Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer→DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighterLegacy edge — source detail unavailable
• Language Models are Few-Shot Learners→Unsupervised Data Augmentation for Consistency TrainingLegacy edge — source detail unavailable
• Language Models are Few-Shot Learners→DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighterLegacy edge — source detail unavailable
• Language Models are Few-Shot Learners→TinyBERT: Distilling BERT for Natural Language UnderstandingLegacy edge — source detail unavailable
• A continual learning survey: Defying forgetting in classification tasks→Improving neural networks by preventing co-adaptation of feature detectorsLegacy edge — source detail unavailable
• A continual learning survey: Defying forgetting in classification tasks→Dropout: a simple way to prevent neural networks from overfittingLegacy edge — source detail unavailable
• A continual learning survey: Defying forgetting in classification tasks→Continual lifelong learning with neural networks: A reviewLegacy edge — source detail unavailable
• TinyBERT: Distilling BERT for Natural Language Understanding→DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighterLegacy edge — source detail unavailable
• Ensemble deep learning: A review→Ensemble Methods in Machine LearningLegacy edge — source detail unavailable
• Ensemble deep learning: A review→Dropout: a simple way to prevent neural networks from overfittingLegacy edge — source detail unavailable
• Emerging Properties in Self-Supervised Vision Transformers→Unsupervised Feature Learning via Non-parametric Instance DiscriminationLegacy edge — source detail unavailable
• Emerging Properties in Self-Supervised Vision Transformers→Unsupervised Data Augmentation for Consistency TrainingLegacy edge — source detail unavailable
• Text Data Augmentation for Deep Learning→Dropout: a simple way to prevent neural networks from overfittingLegacy edge — source detail unavailable
• Text Data Augmentation for Deep Learning→Unsupervised Data Augmentation for Consistency TrainingLegacy edge — source detail unavailable
• Text Data Augmentation for Deep Learning→AutoML: A survey of the state-of-the-artLegacy edge — source detail unavailable
• Text Data Augmentation for Deep Learning→DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighterLegacy edge — source detail unavailable
• On the Opportunities and Risks of Foundation Models→Ensemble Methods in Machine LearningLegacy edge — source detail unavailable
• On the Opportunities and Risks of Foundation Models→Membership Inference Attacks Against Machine Learning ModelsLegacy edge — source detail unavailable
• On the Opportunities and Risks of Foundation Models→Continual lifelong learning with neural networks: A reviewLegacy edge — source detail unavailable
• On the Opportunities and Risks of Foundation Models→Unsupervised Feature Learning via Non-parametric Instance DiscriminationLegacy edge — source detail unavailable
• On the Opportunities and Risks of Foundation Models→DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighterLegacy edge — source detail unavailable
• On the Opportunities and Risks of Foundation Models→Language Models are Few-Shot LearnersLegacy edge — source detail unavailable
• Explainable Artificial Intelligence (XAI): What we know and what is left to attain Trustw…→Peeking Inside the Black-Box: A Survey on Explainable Artificial Intelligence (XAI)Legacy edge — source detail unavailable
• Explainable Artificial Intelligence (XAI): What we know and what is left to attain Trustw…→Machine Learning Interpretability: A Survey on Methods and MetricsLegacy edge — source detail unavailable
• Explainable Artificial Intelligence (XAI): What we know and what is left to attain Trustw…→Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challe…Legacy edge — source detail unavailable