hlml / fortuitous_forgetting
☆19Updated 2 years ago
Alternatives and similar repositories for fortuitous_forgetting:
Users that are interested in fortuitous_forgetting are comparing it to the libraries listed below
- Code to implement the AND-mask and geometric mean to do gradient based optimization, from the paper "Learning explanations that are hard …☆39Updated 4 years ago
- ☆35Updated last year
- ☆34Updated 3 years ago
- Gradient Starvation: A Learning Proclivity in Neural Networks☆61Updated 4 years ago
- ☆54Updated 4 years ago
- ☆34Updated 3 years ago
- Simple data balancing baselines for worst-group-accuracy benchmarks.☆41Updated last year
- ☆44Updated 4 years ago
- Pytorch implementation for "The Surprising Positive Knowledge Transfer in Continual 3D Object Shape Reconstruction"☆33Updated 2 years ago
- Code for "Supermasks in Superposition"☆121Updated last year
- Fine-grained ImageNet annotations☆29Updated 4 years ago
- CIFAR-5m dataset☆38Updated 4 years ago
- ☆44Updated 2 years ago
- ☆36Updated 3 years ago
- DiWA: Diverse Weight Averaging for Out-of-Distribution Generalization☆29Updated 2 years ago
- Code for the CVPR 2021 paper: Understanding Failures of Deep Networks via Robust Feature Extraction☆35Updated 2 years ago
- Linear Mode Connectivity in Multitask and Continual Learning: https://arxiv.org/abs/2010.04495☆11Updated 4 years ago
- ☆107Updated last year
- Towards Understanding Sharpness-Aware Minimization [ICML 2022]☆35Updated 2 years ago
- ☆17Updated 2 years ago
- A modern look at the relationship between sharpness and generalization [ICML 2023]☆43Updated last year
- Implementation of the models and datasets used in "An Information-theoretic Approach to Distribution Shifts"☆25Updated 3 years ago
- ☆38Updated 3 years ago
- Contains code for the NeurIPS 2020 paper by Pan et al., "Continual Deep Learning by FunctionalRegularisation of Memorable Past"☆44Updated 4 years ago
- Do input gradients highlight discriminative features? [NeurIPS 2021] (https://arxiv.org/abs/2102.12781)☆13Updated 2 years ago
- Toy datasets to evaluate algorithms for domain generalization and invariance learning.☆42Updated 3 years ago
- ☆14Updated 2 years ago
- The Pitfalls of Simplicity Bias in Neural Networks [NeurIPS 2020] (http://arxiv.org/abs/2006.07710v2)☆39Updated last year
- Official Implementation of Remembering for the Right Reasons (ICLR 2021)☆30Updated 3 years ago
- The official repository for our paper "Are Neural Nets Modular? Inspecting Functional Modularity Through Differentiable Weight Masks". We…☆46Updated last year