ars22 / RCAD-regularizerLinks
☆16Updated 3 years ago
Alternatives and similar repositories for RCAD-regularizer
Users that are interested in RCAD-regularizer are comparing it to the libraries listed below
Sorting:
- ☆36Updated 3 years ago
- ☆96Updated 3 years ago
- ☆18Updated 3 years ago
- PRIME: A Few Primitives Can Boost Robustness to Common Corruptions☆41Updated 3 years ago
- Code for "Supermasks in Superposition"☆125Updated 2 years ago
- Pytorch implementation for "The Surprising Positive Knowledge Transfer in Continual 3D Object Shape Reconstruction"☆33Updated 3 years ago
- Data for "Datamodels: Predicting Predictions with Training Data"☆97Updated 2 years ago
- Gradient Starvation: A Learning Proclivity in Neural Networks☆61Updated 5 years ago
- ModelDiff: A Framework for Comparing Learning Algorithms☆58Updated 2 years ago
- Code release for REPAIR: REnormalizing Permuted Activations for Interpolation Repair☆52Updated 2 years ago
- A modern look at the relationship between sharpness and generalization [ICML 2023]☆43Updated 2 years ago
- ☆47Updated 3 years ago
- ☆26Updated 3 years ago
- ☆56Updated 5 years ago
- ☆45Updated 5 years ago
- ☆111Updated 2 years ago
- Source code of "Hold me tight! Influence of discriminative features on deep network boundaries"☆21Updated 4 years ago
- NEVIS'22: Benchmarking the next generation of never-ending learners☆102Updated 3 years ago
- Official Implementation of Remembering for the Right Reasons (ICLR 2021)☆30Updated 4 years ago
- ☆39Updated last year
- LISA for ICML 2022☆52Updated 2 years ago
- Simple data balancing baselines for worst-group-accuracy benchmarks.☆43Updated 2 years ago
- Official repo for the paper "Make Some Noise: Reliable and Efficient Single-Step Adversarial Training" (https://arxiv.org/abs/2202.01181)☆25Updated 3 years ago
- Code for Active Learning at The ImageNet Scale. This repository implements many popular active learning algorithms and allows training wi…☆54Updated 4 years ago
- ☆58Updated 2 years ago
- This code reproduces the results of the paper, "Measuring Data Leakage in Machine-Learning Models with Fisher Information"☆49Updated 4 years ago
- ☆38Updated 4 years ago
- Recycling diverse models☆46Updated 3 years ago
- A Continual Learning Library in PyTorch and JAX☆13Updated 2 years ago
- Model Zoos for Continual Learning (ICLR 22)☆45Updated 2 years ago