bhheo / BSS_distillationLinks
Knowledge Distillation with Adversarial Samples Supporting Decision Boundary (AAAI 2019)
☆71Updated 5 years ago
Alternatives and similar repositories for BSS_distillation
Users that are interested in BSS_distillation are comparing it to the libraries listed below
Sorting:
- Knowledge Transfer via Distillation of Activation Boundaries Formed by Hidden Neurons (AAAI 2019)☆105Updated 5 years ago
- Accompanying code for the paper "Zero-shot Knowledge Transfer via Adversarial Belief Matching"☆142Updated 5 years ago
- ☆61Updated 5 years ago
- Unofficial pytorch implementation of Born-Again Neural Networks.☆55Updated 4 years ago
- Code for NeurIPS 2019 Paper, "L_DMI: An Information-theoretic Noise-robust Loss Function"☆119Updated 2 years ago
- Further improve robustness of mixup-trained models in inference (ICLR 2020)☆60Updated 5 years ago
- Self-supervised Label Augmentation via Input Transformations (ICML 2020)☆105Updated 4 years ago
- Project page for our paper: Interpreting Adversarially Trained Convolutional Neural Networks☆66Updated 6 years ago
- Source code accompanying our CVPR 2019 paper: "NetTailor: Tuning the architecture, not just the weights."☆53Updated 4 years ago
- Zero-Shot Knowledge Distillation in Deep Networks☆67Updated 3 years ago
- [AAAI-2020] Official implementation for "Online Knowledge Distillation with Diverse Peers".☆74Updated 2 years ago
- [ICLR 2021 Spotlight Oral] "Undistillable: Making A Nasty Teacher That CANNOT teach students", Haoyu Ma, Tianlong Chen, Ting-Kuei Hu, Che…☆82Updated 3 years ago
- [ICCV'19] Improving Adversarial Robustness via Guided Complement Entropy☆40Updated 6 years ago
- [CVPR 2020] Adversarial Robustness: From Self-Supervised Pre-Training to Fine-Tuning☆85Updated 3 years ago
- Pre-Training Buys Better Robustness and Uncertainty Estimates (ICML 2019)☆100Updated 3 years ago
- ☆26Updated 6 years ago
- ☆108Updated 3 years ago
- "Maximum-Entropy Adversarial Data Augmentation for Improved Generalization and Robustness" (NeurIPS 2020).☆51Updated 4 years ago
- Code release for Transferable Adversarial Training: A General Approach to Adapting Deep Classifiers (ICML2019)☆81Updated 6 years ago
- ☆171Updated 4 years ago
- Official Implementation of MEAL: Multi-Model Ensemble via Adversarial Learning on AAAI 2019☆177Updated 5 years ago
- PyTorch implementation of Weighted Batch-Normalization layers☆37Updated 5 years ago
- Code and pretrained models for paper: Data-Free Adversarial Distillation☆98Updated 2 years ago
- Unsupervised Domain Adaptation through Self-Supervision☆79Updated 3 years ago
- SpotTune: Transfer Learning through Adaptive Fine-tuning☆90Updated 6 years ago
- BlockDrop: Dynamic Inference Paths in Residual Networks☆142Updated 2 years ago
- Meta-Learning based Noise-Tolerant Training☆126Updated 5 years ago
- ICML'19 How does Disagreement Help Generalization against Label Corruption?☆88Updated 6 years ago
- Self-Paced Multi-view Co-training for person re-id experiment☆30Updated 4 years ago
- ☆51Updated 6 years ago