Title |
|---|
 SuperMix: Supervising the Mixing Data AugmentationComputer Vision and Pattern Recognition (CVPR), 2020 |
 |
 QUEST: Quantized embedding space for transferring knowledgeEuropean Conference on Computer Vision (ECCV), 2019 |
 Similarity-Preserving Knowledge DistillationIEEE International Conference on Computer Vision (ICCV), 2019 |
 Contrastive Multiview CodingEuropean Conference on Computer Vision (ECCV), 2019 |
 |
 Knowledge Transfer via Distillation of Activation Boundaries Formed by
Hidden NeuronsAAAI Conference on Artificial Intelligence (AAAI), 2018 |
 Learning Deep Representations with Probabilistic Knowledge Transfer Nikolaos Passalis Anastasios Tefas |
 |
 Understanding intermediate layers using linear classifier probesInternational Conference on Learning Representations (ICLR), 2016 |
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 FitNets: Hints for Thin Deep NetsInternational Conference on Learning Representations (ICLR), 2014 |
 On distinguishability criteria for estimating generative modelsInternational Conference on Learning Representations (ICLR), 2014 |
 Very Deep Convolutional Networks for Large-Scale Image RecognitionInternational Conference on Learning Representations (ICLR), 2014 |
 Do Deep Nets Really Need to be Deep?Neural Information Processing Systems (NeurIPS), 2013 Lei Jimmy Ba R. Caruana |
