HaohanWang / PAR_experiments
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
- ☆46Updated 2 years ago
- Example implementation for the paper: (ICLR Oral) Learning Robust Representations by Projecting Superficial Statistics Out☆27Updated 4 years ago
- Official adversarial mixup resynthesis repository☆35Updated 5 years ago
- Implementation of Patch-wise Adversarial Regularization from "Learning Robust Global Representations by Penalizing Local Predictive Power…☆18Updated 5 years ago
- Automatic model evaluation (AutoEval) in CVPR'21&TPAMI'22☆36Updated 2 years ago
- models and tools for -What makes ImageNet good for Transfer Learning?☆25Updated 7 years ago
- PyTorch implementation of Weighted Batch-Normalization layers☆37Updated 4 years ago
- ICLR 2021, Fair Mixup: Fairness via Interpolation☆55Updated 3 years ago
- ☆19Updated 5 years ago
- ☆23Updated 3 years ago
- The code repository for "Learning Classifier Synthesis for Generalized Few-shot Learning"☆22Updated 3 years ago
- ☆17Updated 2 years ago
- ☆19Updated 4 years ago
- [CVPR 2020] Adversarial Robustness: From Self-Supervised Pre-Training to Fine-Tuning☆85Updated 3 years ago
- Official code of "Discover the Unknown Biased Attribute of an Image Classifier" (ICCV 2021)☆19Updated 3 years ago
- Codebase for "Exploring the Landscape of Spatial Robustness" (ICML'19, https://arxiv.org/abs/1712.02779).☆26Updated 5 years ago
- Evaluation of semi-supervised learning on challenging datasets☆36Updated 3 years ago
- Official code for "Mean Shift for Self-Supervised Learning"☆57Updated 3 years ago
- Official repository for "Stylized Adversarial Training" (TPAMI 2022)☆11Updated 2 years ago
- ☆20Updated 3 years ago
- ☆24Updated 3 years ago
- Pre-Training Buys Better Robustness and Uncertainty Estimates (ICML 2019)☆100Updated 3 years ago
- Robust Contrastive Learning Using Negative Samples with Diminished Semantics (NeurIPS 2021)☆38Updated 3 years ago
- Official Caffe implementation of Boosting Domain Adaptation by Discovering Latent Domains.☆23Updated 4 years ago
- ☆28Updated 3 years ago
- Implementation for What it Thinks is Important is Important: Robustness Transfers through Input Gradients (CVPR 2020 Oral)☆16Updated 2 years ago
- Compressing Representations for Self-Supervised Learning☆78Updated 4 years ago
- An implementation of the Residual Flow algorithm for out-of-distribution detection.☆30Updated 2 years ago
- Source code accompanying our CVPR 2019 paper: "NetTailor: Tuning the architecture, not just the weights."☆52Updated 3 years ago
- Towards Achieving Adversarial Robustness by Enforcing Feature Consistency Across Bit Planes☆23Updated 4 years ago