Model compression
Cristian Buciluǎ low, Rich Caruana, Alexandru Niculescu-Mizil
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Citation edge evidence
- Distilling the Knowledge in a Neural Network→Model compressionLegacy edge — source detail unavailable
- Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challe…→Model compressionLegacy edge — source detail unavailable
- On the Dangers of Stochastic Parrots→Model compressionLegacy edge — source detail unavailable
- Active Learning Literature Survey→Model compressionLegacy edge — source detail unavailable
- Ensemble learning: A survey→Model compressionLegacy edge — source detail unavailable
- Relational Knowledge Distillation→Model compressionLegacy edge — source detail unavailable
- Pre-trained models for natural language processing: A survey→Model compressionLegacy edge — source detail unavailable
- Transferability in Machine Learning: from Phenomena to Black-Box Attacks using Adversaria…→Model compressionLegacy edge — source detail unavailable
- Model compression→Random ForestsLegacy edge — source detail unavailable
- Model compression→Bagging PredictorsLegacy edge — source detail unavailable
- Model compression→Density Estimation for Statistics and Data AnalysisLegacy edge — source detail unavailable
- Model compression→Advances in neural information processing systems 7Legacy edge — source detail unavailable
- Model compression→UCI Repository of machine learning databasesLegacy edge — source detail unavailable
- Model compression→Stacked generalizationLegacy edge — source detail unavailable
- Model compression→Making Large-Scale SVM Learning PracticalLegacy edge — source detail unavailable
- Model compression→The Boosting Approach to Machine Learning: An OverviewLegacy edge — source detail unavailable
- The Boosting Approach to Machine Learning: An Overview→UCI Repository of machine learning databasesLegacy edge — source detail unavailable
- Transferability in Machine Learning: from Phenomena to Black-Box Attacks using Adversaria…→Distilling the Knowledge in a Neural NetworkLegacy edge — source detail unavailable
- Ensemble learning: A survey→Stacked generalizationLegacy edge — source detail unavailable
- Ensemble learning: A survey→Random ForestsLegacy edge — source detail unavailable
- Active Learning Literature Survey→Bagging PredictorsLegacy edge — source detail unavailable
- Random Forests→Bagging PredictorsLegacy edge — source detail unavailable
- Relational Knowledge Distillation→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
- Pre-trained models for natural language processing: A survey→Distilling the Knowledge in a Neural NetworkLegacy edge — source detail unavailable
- Pre-trained models for natural language processing: A survey→Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challe…Legacy edge — source detail unavailable
What this paper cites, inside the corpus
| Paper | Year | Cited |
|---|---|---|
| Random Forests | 2001 | 131,109 |
| Bagging Predictors | 1996 | 17,191 |
| Density Estimation for Statistics and Data Analysis | 2018 | 16,034 |
| Advances in neural information processing systems 7 | 1996 | 14,393 |
| UCI Repository of machine learning databases | 1998 | 10,546 |
| Stacked generalization | 1992 | 7,777 |
| Making Large-Scale SVM Learning Practical | 2006 | 4,326 |
| The Boosting Approach to Machine Learning: An Overview | 2003 | 2,023 |
What cites it, inside the corpus
Links
Topics
| Machine Learning and Data Classification | Computer Science |
| Machine Learning and Algorithms | Computer Science |
| Gaussian Processes and Bayesian Inference | Computer Science |
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- supports3 author record(s) attached.
- supports26 reference(s) recorded.
- neutralThe DOI carries no year to check against.
- supportsA title is present.
Provenance
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