abietti / kernel_regLinks
Pytorch implementation of regularization methods for deep networks obtained via kernel methods.
☆22Updated 5 years ago
Alternatives and similar repositories for kernel_reg
Users that are interested in kernel_reg are comparing it to the libraries listed below
Sorting:
- ICLR 2021, Fair Mixup: Fairness via Interpolation☆57Updated 3 years ago
- Code Release for Learning to Adapt to Evolving Domains☆31Updated 4 years ago
- "Maximum-Entropy Adversarial Data Augmentation for Improved Generalization and Robustness" (NeurIPS 2020).☆51Updated 4 years ago
- Code for paper "Not All Unlabeled Data are Equal: Learning to Weight Data in Semi-supervised Learning", Ren et al., NeurIPS'20☆25Updated 4 years ago
- Official implementation of paper Gradient Matching for Domain Generalization☆122Updated 3 years ago
- Code for "BayesAdapter: Being Bayesian, Inexpensively and Robustly, via Bayeisan Fine-tuning"☆31Updated last year
- ☆19Updated 4 years ago
- Pre-Training Buys Better Robustness and Uncertainty Estimates (ICML 2019)☆100Updated 3 years ago
- ☆31Updated 4 years ago
- ☆22Updated 2 years ago
- [ICLR'22] Self-supervised learning optimally robust representations for domain shift.☆24Updated 3 years ago
- Distributional and Outlier Robust Optimization (ICML 2021)☆27Updated 4 years ago
- [NeurIPS 2020] "Once-for-All Adversarial Training: In-Situ Tradeoff between Robustness and Accuracy for Free" by Haotao Wang*, Tianlong C…☆44Updated 3 years ago
- Learning Representations that Support Robust Transfer of Predictors☆20Updated 3 years ago
- Code for ICLR 2022 Paper, "Controlling Directions Orthogonal to a Classifier"☆35Updated 2 years ago
- ☆37Updated 4 years ago
- A Closer Look at Accuracy vs. Robustness☆88Updated 4 years ago
- Code for the paper "MMA Training: Direct Input Space Margin Maximization through Adversarial Training"☆34Updated 5 years ago
- On the Loss Landscape of Adversarial Training: Identifying Challenges and How to Overcome Them [NeurIPS 2020]☆36Updated 4 years ago
- ☆28Updated 3 years ago
- This repository hosts the dataset and source code for "A causal view of compositional zero-shot recognition". Yuval Atzmon, Felix Kreuk, …☆27Updated 4 years ago
- Example implementation for the paper: (ICLR Oral) Learning Robust Representations by Projecting Superficial Statistics Out☆27Updated 4 years ago
- [TPAMI 2019] The implementation for "Direction Concentration Learning: Enhancing Congruency in Machine Learning"☆23Updated 5 years ago
- ☆11Updated 4 years ago
- Robust Optimal Transport code☆43Updated 2 years ago
- Project page for our paper: Interpreting Adversarially Trained Convolutional Neural Networks☆66Updated 6 years ago
- ☆24Updated 4 years ago
- PyTorch implementation of JEM++: Improved Techniques for Training JEM☆13Updated 2 years ago
- ☆19Updated 5 years ago
- [CVPR 2020] Adversarial Robustness: From Self-Supervised Pre-Training to Fine-Tuning☆85Updated 3 years ago