seshuad / IMagenet
Tiny Imagenet Visual Recognition Challenge
☆36Updated 6 years ago
Alternatives and similar repositories for IMagenet:
Users that are interested in IMagenet are comparing it to the libraries listed below
- Data-Free Network Quantization With Adversarial Knowledge Distillation PyTorch☆29Updated 3 years ago
- ZSKD with PyTorch☆30Updated last year
- On the Importance of Gradients for Detecting Distributional Shifts in the Wild☆55Updated 2 years ago
- Code and checkpoints of compressed networks for the paper titled "HYDRA: Pruning Adversarially Robust Neural Networks" (NeurIPS 2020) (ht…☆89Updated 2 years ago
- Data-free knowledge distillation using Gaussian noise (NeurIPS paper)☆15Updated last year
- ☆22Updated 5 years ago
- Generative Feature Replay For Class-Incremental Learning☆37Updated 4 years ago
- Reverse Cross Entropy for Adversarial Detection (NeurIPS 2018)☆45Updated 3 years ago
- Code for CVPR2021 paper: MOOD: Multi-level Out-of-distribution Detection☆38Updated last year
- Unofficial pytorch implementation of Fourier Heat Map proposed in 'A Fourier Perspective on Model Robustness in Computer Vision' [Yin+, N…☆73Updated 10 months ago
- [ICLR 2022] "Deep Ensembling with No Overhead for either Training or Testing: The All-Round Blessings of Dynamic Sparsity" by Shiwei Liu,…☆27Updated 2 years ago
- ☆46Updated 4 years ago
- [ICLR 2021] "Robust Overfitting may be mitigated by properly learned smoothening" by Tianlong Chen*, Zhenyu Zhang*, Sijia Liu, Shiyu Chan…☆46Updated 3 years ago
- ☆107Updated 3 years ago
- Code for the paper "A Light Recipe to Train Robust Vision Transformers" [SaTML 2023]☆53Updated 2 years ago
- ICLR 2021, "Learning with feature-dependent label noise: a progressive approach"☆43Updated 2 years ago
- CVPR2021: Out-of-Distribution Detection Using Union of 1-Dimensional Subspaces☆22Updated 3 years ago
- Code for the paper: Learning Adversarially Robust Representations via Worst-Case Mutual Information Maximization (https://arxiv.org/abs/2…☆22Updated 4 years ago
- ☆21Updated 4 years ago
- A generic code base for neural network pruning, especially for pruning at initialization.☆30Updated 2 years ago
- Adversarial Defense by Restricting the Hidden Space of Deep Neural Networks, in ICCV 2019☆59Updated 5 years ago
- ☆10Updated 5 years ago
- Accompanying code for the paper "Zero-shot Knowledge Transfer via Adversarial Belief Matching"☆140Updated 4 years ago
- ☆26Updated 4 years ago
- NeurIPS 2021, "Fine Samples for Learning with Noisy Labels"☆39Updated 3 years ago
- Feature Fusion for Online Mutual Knowledge Distillation Code☆24Updated 4 years ago
- Accelerating Transfer Learning with Robust Neural Nets☆11Updated 4 years ago
- [NeurIPS 2021] “When does Contrastive Learning Preserve Adversarial Robustness from Pretraining to Finetuning?”☆48Updated 3 years ago
- A pytorch implement of scalable neural netowrks.☆23Updated 4 years ago
- On the effectiveness of adversarial training against common corruptions [UAI 2022]☆30Updated 2 years ago