hlml / fortuitous_forgettingLinks
☆19Updated 3 years ago
Alternatives and similar repositories for fortuitous_forgetting
Users that are interested in fortuitous_forgetting are comparing it to the libraries listed below
Sorting:
- Code for "Supermasks in Superposition"☆125Updated 2 years ago
- ☆38Updated 2 years ago
- Gradient Starvation: A Learning Proclivity in Neural Networks☆61Updated 5 years ago
- Code to implement the AND-mask and geometric mean to do gradient based optimization, from the paper "Learning explanations that are hard …☆41Updated 5 years ago
- ☆34Updated 4 years ago
- Fine-grained ImageNet annotations☆30Updated 5 years ago
- ☆56Updated 5 years ago
- ☆133Updated 4 years ago
- ☆37Updated 3 years ago
- Explores the ideas presented in Deep Ensembles: A Loss Landscape Perspective (https://arxiv.org/abs/1912.02757) by Stanislav Fort, Huiyi …☆66Updated 5 years ago
- Last-layer Laplace approximation code examples☆83Updated 4 years ago
- Implementation of the models and datasets used in "An Information-theoretic Approach to Distribution Shifts"☆25Updated 4 years ago
- ☆96Updated 3 years ago
- Pytorch code for "Improving Self-Supervised Learning by Characterizing Idealized Representations"☆41Updated 3 years ago
- CIFAR-5m dataset☆40Updated 5 years ago
- ☆45Updated 5 years ago
- ☆57Updated 4 years ago
- Codebase for Learning Invariances in Neural Networks☆96Updated 3 years ago
- Improving Transformation Invariance in Contrastive Representation Learning☆13Updated 4 years ago
- The official repository for our paper "Are Neural Nets Modular? Inspecting Functional Modularity Through Differentiable Weight Masks". We…☆46Updated 2 years ago
- Pytorch implementation for "The Surprising Positive Knowledge Transfer in Continual 3D Object Shape Reconstruction"☆33Updated 3 years ago
- Collection of snippets for PyTorch users☆25Updated 3 years ago
- Code release for REPAIR: REnormalizing Permuted Activations for Interpolation Repair☆52Updated 2 years ago
- The original code for the paper "How to train your MAML" along with a replication of the original "Model Agnostic Meta Learning" (MAML) p…☆41Updated 5 years ago
- ☆62Updated 4 years ago
- Towards Understanding Sharpness-Aware Minimization [ICML 2022]☆38Updated 3 years ago
- ☆47Updated 6 years ago
- Data for "Datamodels: Predicting Predictions with Training Data"☆97Updated 2 years ago
- Framework code with wandb, checkpointing, logging, configs, experimental protocols. Useful for fine-tuning models or training from scratc…☆153Updated 3 years ago
- ☆47Updated 3 years ago