singlasahil14 / barlow
Code for the CVPR 2021 paper: Understanding Failures of Deep Networks via Robust Feature Extraction
☆35Updated 2 years ago
Alternatives and similar repositories for barlow:
Users that are interested in barlow are comparing it to the libraries listed below
- Fine-grained ImageNet annotations☆29Updated 4 years ago
- ☆55Updated 4 years ago
- ☆35Updated last year
- ☆38Updated 3 years ago
- ☆25Updated 4 years ago
- ☆34Updated 3 years ago
- Gradient Starvation: A Learning Proclivity in Neural Networks☆61Updated 4 years ago
- Model Patching: Closing the Subgroup Performance Gap with Data Augmentation☆42Updated 4 years ago
- Source code of "Hold me tight! Influence of discriminative features on deep network boundaries"☆22Updated 3 years ago
- SGD with large step sizes learns sparse features [ICML 2023]☆32Updated last year
- This code reproduces the results of the paper, "Measuring Data Leakage in Machine-Learning Models with Fisher Information"☆49Updated 3 years ago
- ☆17Updated 2 years ago
- ☆19Updated 4 years ago
- Simple data balancing baselines for worst-group-accuracy benchmarks.☆41Updated last year
- CIFAR-5m dataset☆38Updated 4 years ago
- ☆44Updated 2 years ago
- ☆34Updated 3 years ago
- PRIME: A Few Primitives Can Boost Robustness to Common Corruptions☆42Updated 2 years ago
- ☆44Updated 4 years ago
- DiWA: Diverse Weight Averaging for Out-of-Distribution Generalization☆29Updated last year
- ☆95Updated 2 years ago
- Do input gradients highlight discriminative features? [NeurIPS 2021] (https://arxiv.org/abs/2102.12781)☆13Updated 2 years ago
- [ICLR'22] Self-supervised learning optimally robust representations for domain shift.☆23Updated 2 years ago
- Active and Sample-Efficient Model Evaluation☆24Updated 3 years ago
- [JMLR] TRADES + random smoothing for certifiable robustness☆14Updated 4 years ago
- ☆62Updated 3 years ago
- Combating hidden stratification with GEORGE☆62Updated 3 years ago
- 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
- Self-Distillation with weighted ground-truth targets; ResNet and Kernel Ridge Regression☆17Updated 3 years ago
- Pytorch implementation for "The Surprising Positive Knowledge Transfer in Continual 3D Object Shape Reconstruction"☆33Updated 2 years ago