sseung0703 / Zero-shot_Knowledge_DistillationLinks
Zero-Shot Knowledge Distillation in Deep Networks in ICML2019
☆49Updated 6 years ago
Alternatives and similar repositories for Zero-shot_Knowledge_Distillation
Users that are interested in Zero-shot_Knowledge_Distillation are comparing it to the libraries listed below
Sorting:
- ☆51Updated 6 years ago
- Zero-Shot Knowledge Distillation in Deep Networks☆67Updated 3 years ago
- Knowledge Transfer via Distillation of Activation Boundaries Formed by Hidden Neurons (AAAI 2019)☆105Updated 5 years ago
- Improving generalization by controlling label-noise information in neural network weights.☆40Updated 4 years ago
- Role-Wise Data Augmentation for Knowledge Distillation☆19Updated 2 years ago
- Full implementation of the paper "Rethinking Softmax with Cross-Entropy: Neural Network Classifier as Mutual Information Estimator".☆101Updated 5 years ago
- ☆57Updated 4 years ago
- ☆52Updated 4 years ago
- Knowledge Distillation with Adversarial Samples Supporting Decision Boundary (AAAI 2019)☆71Updated 5 years ago
- Codes for DATA: Differentiable ArchiTecture Approximation.☆11Updated 4 years ago
- Source code accompanying our CVPR 2019 paper: "NetTailor: Tuning the architecture, not just the weights."☆53Updated 4 years ago
- Unofficial pytorch implementation of Born-Again Neural Networks.☆55Updated 4 years ago
- Official MXNet implementation of "Embedding Expansion: Augmentation in Embedding Space for Deep Metric Learning" (CVPR 2020)☆79Updated 2 years ago
- ☆23Updated 4 years ago
- Pytorch implementation of CVPR2021 paper: SuperMix: Supervising the Mixing Data Augmentation☆92Updated 3 years ago
- official pytorch implementation of "Deep Metric Learning with Spherical Embedding", NeurIPS 2020☆42Updated 4 years ago
- [CVPR 2021] "The Lottery Tickets Hypothesis for Supervised and Self-supervised Pre-training in Computer Vision Models" Tianlong Chen, Jon…☆68Updated 2 years ago
- NeurIPS'19: Meta-Weight-Net: Learning an Explicit Mapping For Sample Weighting (Pytorch implementation for class imbalance).☆34Updated 5 years ago
- ☆37Updated 5 years ago
- Self-supervised Label Augmentation via Input Transformations (ICML 2020)☆105Updated 4 years ago
- Knowledge Distillation Algorithms implemented with PyTorch☆17Updated 6 years ago
- ContextLab: A Toolbox for Context Feature Augmentation developed with PyTorch☆39Updated 5 years ago
- ☆42Updated 4 years ago
- Compressing Representations for Self-Supervised Learning☆78Updated 4 years ago
- Code for SelfAugment☆27Updated 4 years ago
- tf2.0 implementation of circle loss☆32Updated 5 years ago
- A pytorch reimplement of paper "Momentum Contrast for Unsupervised Visual Representation Learning"☆43Updated 5 years ago
- Stochastic Downsampling for Cost-Adjustable Inference and Improved Regularization in Convolutional Networks☆18Updated 5 years ago
- CVPR 2019: Ranked List Loss for Deep Metric Learning, with extension for TPAMI submission☆66Updated 5 years ago
- Neural Rejuvenation: Improving Deep Network Training by Enhancing Computational Resource Utilization at CVPR'19☆48Updated 6 years ago