HaohanWang / PAR_experimentsLinks
Learning Robust Global Representations by Penalizing Local Predictive Power (NeurIPS 2019))
☆18Updated 2 years ago
Alternatives and similar repositories for PAR_experiments
Users that are interested in PAR_experiments are comparing it to the libraries listed below
Sorting:
- Pre-Training Buys Better Robustness and Uncertainty Estimates (ICML 2019)☆100Updated 3 years ago
- Example implementation for the paper: (ICLR Oral) Learning Robust Representations by Projecting Superficial Statistics Out☆27Updated 4 years ago
- [CVPR 2020] Adversarial Robustness: From Self-Supervised Pre-Training to Fine-Tuning☆85Updated 3 years ago
- Implementation of Patch-wise Adversarial Regularization from "Learning Robust Global Representations by Penalizing Local Predictive Power…☆18Updated 5 years ago
- ☆46Updated 2 years ago
- Official code of "Discover the Unknown Biased Attribute of an Image Classifier" (ICCV 2021)☆20Updated 3 years ago
- "Maximum-Entropy Adversarial Data Augmentation for Improved Generalization and Robustness" (NeurIPS 2020).☆51Updated 4 years ago
- ICLR 2021, Fair Mixup: Fairness via Interpolation☆57Updated 4 years ago
- Unsupervised Domain Adaptation through Self-Supervision☆79Updated 3 years ago
- Implementation of our proposed algorithm in domain adaptation for image classification☆67Updated 5 years ago
- LaTex Poster for TOM-Net (CVPR 2018)☆47Updated 7 years ago
- Official Implementation of "Random Path Selection for Incremental Learning" paper. NeurIPS 2019☆53Updated 2 years ago
- Trained model weights, training and evaluation code from the paper "A simple way to make neural networks robust against diverse image cor…☆61Updated 2 years ago
- Project page for our paper: Interpreting Adversarially Trained Convolutional Neural Networks☆66Updated 6 years ago
- Automatic model evaluation (AutoEval) in CVPR'21&TPAMI'22☆36Updated 2 years ago
- ☆57Updated last year
- Source code accompanying our CVPR 2019 paper: "NetTailor: Tuning the architecture, not just the weights."☆53Updated 4 years ago
- Code for the paper "Addressing Model Vulnerability to Distributional Shifts over Image Transformation Sets", ICCV 2019☆27Updated 5 years ago
- Compressing Representations for Self-Supervised Learning☆78Updated 4 years ago
- Self-supervised Label Augmentation via Input Transformations (ICML 2020)☆105Updated 4 years ago
- PyTorch implementation of Weighted Batch-Normalization layers☆37Updated 5 years ago
- Towards Achieving Adversarial Robustness by Enforcing Feature Consistency Across Bit Planes☆23Updated 5 years ago
- Official PyTorch implementation of "Co-Mixup: Saliency Guided Joint Mixup with Supermodular Diversity" (ICLR'21 Oral)☆106Updated 3 years ago
- ☆17Updated 3 years ago
- REPresentAtion bIas Removal (REPAIR) of datasets☆56Updated 2 years ago
- ☆24Updated 4 years ago
- Class Normalization for Continual Zero-Shot Learning☆34Updated 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
- ☆23Updated 3 years ago
- ☆85Updated 3 years ago