vcl-iisc / ZSKD
Zero-Shot Knowledge Distillation in Deep Networks
☆65Updated 3 years ago
Alternatives and similar repositories for ZSKD:
Users that are interested in ZSKD are comparing it to the libraries listed below
- Accompanying code for the paper "Zero-shot Knowledge Transfer via Adversarial Belief Matching"☆141Updated 5 years ago
- Unofficial pytorch implementation of Born-Again Neural Networks.☆53Updated 4 years ago
- Zero-Shot Knowledge Distillation in Deep Networks in ICML2019☆49Updated 5 years ago
- Knowledge Distillation with Adversarial Samples Supporting Decision Boundary (AAAI 2019)☆71Updated 5 years ago
- Source code accompanying our CVPR 2019 paper: "NetTailor: Tuning the architecture, not just the weights."☆52Updated 3 years ago
- Official Implementation of "Random Path Selection for Incremental Learning" paper. NeurIPS 2019☆53Updated 2 years ago
- Self-supervised Label Augmentation via Input Transformations (ICML 2020)☆106Updated 4 years ago
- Full implementation of the paper "Rethinking Softmax with Cross-Entropy: Neural Network Classifier as Mutual Information Estimator".☆101Updated 5 years ago
- Compressing Representations for Self-Supervised Learning☆78Updated 4 years ago
- Official adversarial mixup resynthesis repository☆35Updated 5 years ago
- [ICLR 2021 Spotlight Oral] "Undistillable: Making A Nasty Teacher That CANNOT teach students", Haoyu Ma, Tianlong Chen, Ting-Kuei Hu, Che…☆81Updated 3 years ago
- Cheap distillation for convolutional neural networks.☆33Updated 6 years ago
- Net2Net implementation on PyTorch for any possible vision layers.☆38Updated 7 years ago
- Code for Piggyback: Adapting a Single Network to Multiple Tasks by Learning to Mask Weights☆182Updated 6 years ago
- (NeurIPS 2020) Meta-Consolidation for Continual Learning☆37Updated 4 years ago
- Knowledge Transfer via Distillation of Activation Boundaries Formed by Hidden Neurons (AAAI 2019)☆104Updated 5 years ago
- ☆34Updated 6 years ago
- Code for Unsupervised Learning via Meta-Learning.☆65Updated 4 years ago
- SpotTune: Transfer Learning through Adaptive Fine-tuning☆90Updated 5 years ago
- [CVPR 2021] "The Lottery Tickets Hypothesis for Supervised and Self-supervised Pre-training in Computer Vision Models" Tianlong Chen, Jon…☆69Updated 2 years ago
- Pre-Training Buys Better Robustness and Uncertainty Estimates (ICML 2019)☆100Updated 3 years ago
- Regularizing Meta-Learning via Gradient Dropout☆53Updated 5 years ago
- ☆175Updated 9 months ago
- [CVPR 2020] Code for paper "AdversarialNAS: Adversarial Neural Architecture Search for GANs".☆71Updated last year
- Code for the paper "Generalizing to Unseen Domains via Adversarial Data Augmentation", NeurIPS 2018☆121Updated 5 years ago
- ICCV 2019 Overcoming Catastrophic Forgetting with Unlabeled Data in the Wild☆80Updated 2 years ago
- Official implementation of "iTAML : An Incremental Task-Agnostic Meta-learning Approach". CVPR 2020☆97Updated last year
- Code for our paper "Informative Dropout for Robust Representation Learning: A Shape-bias Perspective" (ICML 2020)☆125Updated 2 years ago
- ☆14Updated 5 years ago
- Improving generalization by controlling label-noise information in neural network weights.☆40Updated 4 years ago