Data-to-Model Distillation: Data-Efficient Learning Framework | Paper Citation Record

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This paper cites High Performance Convolution Using Sparsity and Patterns for Inference in Deep Convolutional Neural Networks.

Data-to-Model Distillation: Data-Efficient Learning Framework High Performance Convolution Using Sparsity and Patterns for Inference in Deep Convolutional Neural Networks

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Data-to-Model Distillation: Data-Efficient Learning Framework In: Proceedings of the IEEE/CVF winter conference on applications of computer vision

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Data-to-Model Distillation: Data-Efficient Learning Framework In: International Conference on Learning Representations (2018)

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Data-to-Model Distillation: Data-Efficient Learning Framework Advances in neural information processing systems33, 1877–1901 (2020)

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Data-to-Model Distillation: Data-Efficient Learning Framework In: Proceedings of the IEEE/CVF Confer- ence on Computer Vision and Pattern Recognition

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Data-to-Model Distillation: Data-Efficient Learning Framework In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition

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This paper cites Advances in Neural Information Processing Systems35, 14678–14690 (2022).

Data-to-Model Distillation: Data-Efficient Learning Framework Advances in Neural Information Processing Systems35, 14678–14690 (2022)

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Data-to-Model Distillation: Data-Efficient Learning Framework In:ProceedingsoftheIEEEconferenceoncomputervisionandpatternrecognition

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Data-to-Model Distillation: Data-Efficient Learning Framework Advances in neural information processing systems29 (2016)

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This paper cites Data Distillation Can Be Like Vodka: Distilling More Times For Better Quality.

Data-to-Model Distillation: Data-Efficient Learning Framework Data Distillation Can Be Like Vodka: Distilling More Times For Better Quality

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Data-to-Model Distillation: Data-Efficient Learning Framework In: International Conference on Learning Representations (2021)

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Data-to-Model Distillation: Data-Efficient Learning Framework In: Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision

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Data-to-Model Distillation: Data-Efficient Learning Framework In: International Conference on Machine Learning

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Data-to-Model Distillation: Data-Efficient Learning Framework In: 2009 IEEE conference on computer vision and pattern recognition

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Data-to-Model Distillation: Data-Efficient Learning Framework An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

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Data-to-Model Distillation: Data-Efficient Learning Framework In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition

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Data-to-Model Distillation: Data-Efficient Learning Framework Advances in Neural Information Processing Systems36 (2024)

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Data-to-Model Distillation: Data-Efficient Learning Framework In: International Conference on Machine Learning

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This paper cites Advances in neural infor- mation processing systems27 (2014).

Data-to-Model Distillation: Data-Efficient Learning Framework Advances in neural infor- mation processing systems27 (2014)

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Data-to-Model Distillation: Data-Efficient Learning Framework In: Proceedings of the AAAI Conference on Artificial Intelligence (AAAI) (2024)

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Data-to-Model Distillation: Data-Efficient Learning Framework In: The Twelfth In- ternational Conference on Learning Representations (2024),https://openreview

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Data-to-Model Distillation: Data-Efficient Learning Framework In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition

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Data-to-Model Distillation: Data-Efficient Learning Framework In: Proceedings of the IEEE interna- tional conference on computer vision

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Data-to-Model Distillation: Data-Efficient Learning Framework In: Proceedings of the Advances in Neural Information Processing Systems (NeurIPS) (2023)

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Data-to-Model Distillation: Data-Efficient Learning Framework Distilling the Knowledge in a Neural Network

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Data-to-Model Distillation: Data-Efficient Learning Framework Advances in neural information processing systems29 (2016)

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Data-to-Model Distillation: Data-Efficient Learning Framework In: Proceedings of the IEEE conference on computer vision and pattern recognition

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Data-to-Model Distillation: Data-Efficient Learning Framework In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition

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Data-to-Model Distillation: Data-Efficient Learning Framework The Need for Speed: Pruning Transformers with One Recipe

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Data-to-Model Distillation: Data-Efficient Learning Framework In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition

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Data-to-Model Distillation: Data-Efficient Learning Framework In: Interna- tional Conference on Machine Learning

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Data-to-Model Distillation: Data-Efficient Learning Framework Communications of the ACM60(6), 84–90 (2017)

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Data-to-Model Distillation: Data-Efficient Learning Framework CS 231N7(7), 3 (2015)

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Data-to-Model Distillation: Data-Efficient Learning Framework In: Proceedings of the IEEE conference on computer vision and pattern recognition

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Data-to-Model Distillation: Data-Efficient Learning Framework Advances in Neural Information Processing Systems35, 1100–1113 (2022)

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Data-to-Model Distillation: Data-Efficient Learning Framework In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition

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Data-to-Model Distillation: Data-Efficient Learning Framework DREAM: Efficient Dataset Distillation by Representative Matching

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Data-to-Model Distillation: Data-Efficient Learning Framework Advances in Neural Information Processing Systems35, 13877–13891 (2022) 18 Ahmad Sajedi *, Samir Khaki* et al

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Data-to-Model Distillation: Data-Efficient Learning Framework In: Proceedings of the IEEE international conference on computer vision

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Data-to-Model Distillation: Data-Efficient Learning Framework Journal of machine learning research 9(11) (2008)

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Data-to-Model Distillation: Data-Efficient Learning Framework Conditional Generative Adversarial Nets

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Data-to-Model Distillation: Data-Efficient Learning Framework In: International Conference on Learning Representations (2021), https: //openreview.net/forum?id=l-PrrQrK0QR

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This paper cites Advances in Neural Information Processing Systems34, 5186–5198 (2021).

Data-to-Model Distillation: Data-Efficient Learning Framework Advances in Neural Information Processing Systems34, 5186–5198 (2021)

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Data-to-Model Distillation: Data-Efficient Learning Framework In: Proceedings of the IEEE conference on Computer Vision and Pattern Recognition

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Data-to-Model Distillation: Data-Efficient Learning Framework FitNets: Hints for Thin Deep Nets

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Data-to-Model Distillation: Data-Efficient Learning Framework In: Proceedings of the IEEE conference on computer vision and pattern recognition

Reference 63

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Data-to-Model Distillation: Data-Efficient Learning Framework In: Proceedings of the IEEE/CVF International Conference on Computer Vision

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Data-to-Model Distillation: Data-Efficient Learning Framework End-to-End Supervised Multilabel Contrastive Learning

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Data-to-Model Distillation: Data-Efficient Learning Framework In: 2022 IEEE 14th Image, Video, and Multidimen- sional Signal Processing Workshop (IVMSP)

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Data-to-Model Distillation: Data-Efficient Learning Framework On the Efficiency of Subclass Knowledge Distillation in Classification Tasks

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Data-to-Model Distillation: Data-Efficient Learning Framework Advances in neural information processing systems 28 (2015)

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Data-to-Model Distillation: Data-Efficient Learning Framework In: International conference on machine learning

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Data-to-Model Distillation: Data-Efficient Learning Framework In: International Conference on Learning Representations (2019)

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Data-to-Model Distillation: Data-Efficient Learning Framework Scientific data 5(1), 1–9 (2018)

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Data-to-Model Distillation: Data-Efficient Learning Framework Instance Normalization: The Missing Ingredient for Fast Stylization

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Data-to-Model Distillation: Data-Efficient Learning Framework DiM: Distilling Dataset into Generative Model

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Data-to-Model Distillation: Data-Efficient Learning Framework In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition

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Data-to-Model Distillation: Data-Efficient Learning Framework In: Proceedings of the IEEE conference on computer vision and pattern recognition

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Data-to-Model Distillation: Data-Efficient Learning Framework Dataset Distillation

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Data-to-Model Distillation: Data-Efficient Learning Framework In: 2021 20th IEEE International Conference on Machine Learning and Applications (ICMLA)

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Data-to-Model Distillation: Data-Efficient Learning Framework In: Proceedings of the IEEE conference on computer vision and pattern recognition

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Data-to-Model Distillation: Data-Efficient Learning Framework Advances in Neural Information Processing Systems 36 (2024)

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Data-to-Model Distillation: Data-Efficient Learning Framework Scientific Data 10(1), 41 (2023)

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Data-to-Model Distillation: Data-Efficient Learning Framework In: Proceedings of the Advances in Neural Information Processing Systems (NeurIPS) (2023) 20 Ahmad Sajedi *, Samir Khaki* et al

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This paper cites In: Advances in Neural Information Processing Systems (2022).

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Reference 98

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