seshuad / IMagenetLinks
Tiny Imagenet Visual Recognition Challenge
☆38Updated 7 years ago
Alternatives and similar repositories for IMagenet
Users that are interested in IMagenet are comparing it to the libraries listed below
Sorting:
- Accompanying code for the paper "Zero-shot Knowledge Transfer via Adversarial Belief Matching"☆143Updated 5 years ago
- Code for CVPR2021 paper: MOOD: Multi-level Out-of-distribution Detection☆38Updated 2 years ago
- Generative Feature Replay For Class-Incremental Learning☆38Updated 5 years ago
- On the Importance of Gradients for Detecting Distributional Shifts in the Wild☆56Updated 3 years ago
- Data-free knowledge distillation using Gaussian noise (NeurIPS paper)☆15Updated 2 years ago
- Code for Active Mixup in 2020 CVPR☆23Updated 3 years ago
- ZSKD with PyTorch☆31Updated 2 years ago
- [SafeAI'21] Feature Space Singularity for Out-of-Distribution Detection.☆79Updated 4 years ago
- Pytorch implementation of End-to-End Incremental Learning [2018 ECCV Castro]☆63Updated 6 years ago
- Official PyTorch implementation of “Flexible Dataset Distillation: Learn Labels Instead of Images”☆42Updated 4 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
- 🔬 Some personal research code on analyzing CNNs. Started with a thorough exploration of Stanford's Tiny-Imagenet-200 dataset.☆105Updated 6 years ago
- [ICLR 2022] "Deep Ensembling with No Overhead for either Training or Testing: The All-Round Blessings of Dynamic Sparsity" by Shiwei Liu,…☆27Updated 3 years ago
- ☆22Updated 4 years ago
- (NeurIPS 2019) Deep Model Transferbility from Attribution Maps☆20Updated 6 years ago
- ☆27Updated 4 years ago
- Model Zoos for Continual Learning (ICLR 22)☆45Updated 2 years ago
- ☆23Updated 5 years ago
- Image classification on Tiny ImageNet☆75Updated 2 years ago
- Data-Free Network Quantization With Adversarial Knowledge Distillation PyTorch☆30Updated 4 years ago
- Official [ICLR] Code Repository for "Gradient Projection Memory for Continual Learning"☆97Updated 4 years ago
- A Closer Look at Accuracy vs. Robustness☆88Updated 4 years ago
- ☆108Updated 3 years ago
- [ICLR 2020] ”Triple Wins: Boosting Accuracy, Robustness and Efficiency Together by Enabling Input-Adaptive Inference“☆24Updated 3 years ago
- ☆46Updated 4 years ago
- Code for "Neuron Shapley: Discovering the Responsible Neurons"☆27Updated last year
- Code to reproduce the experiments of "Rethinking Experience Replay: a Bag of Tricks for Continual Learning"☆50Updated 2 years ago
- [NeurIPS'21] "AugMax: Adversarial Composition of Random Augmentations for Robust Training" by Haotao Wang, Chaowei Xiao, Jean Kossaifi, Z…☆125Updated 3 years ago
- Robust Out-of-distribution Detection in Neural Networks☆73Updated 3 years ago
- PyTorch implementation of the REMIND method from our ECCV-2020 paper "REMIND Your Neural Network to Prevent Catastrophic Forgetting"☆82Updated 2 years ago