jgamper / intrinsic-dimensionality
Use this package to compute intrinsic dimensionality of your task given a fixed neural network in PYTORCH!
☆33Updated last year
Related projects ⓘ
Alternatives and complementary repositories for intrinsic-dimensionality
- Model Patching: Closing the Subgroup Performance Gap with Data Augmentation☆42Updated 3 years ago
- This repository contains the code of the distribution shift framework presented in A Fine-Grained Analysis on Distribution Shift (Wiles e…☆81Updated 2 weeks ago
- Data for "Datamodels: Predicting Predictions with Training Data"☆90Updated last year
- Code for "Just Train Twice: Improving Group Robustness without Training Group Information"☆66Updated 5 months ago
- ☆55Updated 4 years ago
- Combating hidden stratification with GEORGE☆62Updated 3 years ago
- Estimating Example Difficulty using Variance of Gradients☆63Updated last year
- ImageNetV2 Pytorch Dataset☆37Updated last year
- An Investigation of Why Overparameterization Exacerbates Spurious Correlations☆30Updated 4 years ago
- [ICLR'22] Self-supervised learning optimally robust representations for domain shift.☆23Updated 2 years ago
- Code for the CVPR 2021 paper: Understanding Failures of Deep Networks via Robust Feature Extraction☆35Updated 2 years ago
- LISA for ICML 2022☆47Updated last year
- Official PyTorch implementation of the Fishr regularization for out-of-distribution generalization☆83Updated 2 years ago
- Natural Language Descriptions of Deep Visual Features, ICLR 2022☆62Updated last year
- MetaShift: A Dataset of Datasets for Evaluating Contextual Distribution Shifts and Training Conflicts (ICLR 2022)☆108Updated 2 years ago
- Gradient Starvation: A Learning Proclivity in Neural Networks☆60Updated 3 years ago
- ☆58Updated 2 years ago
- Pytorch code for "Improving Self-Supervised Learning by Characterizing Idealized Representations"☆40Updated last year
- Code for paper "Can contrastive learning avoid shortcut solutions?" NeurIPS 2021.☆47Updated 2 years ago
- ☆65Updated 4 years ago
- Official implementation of paper Gradient Matching for Domain Generalization☆116Updated 2 years ago
- ☆33Updated 3 years ago
- ☆34Updated 3 years ago
- Code for the ICCV 2023 paper "Benchmarking Low-Shot Robustness to Natural Distribution Shifts"☆11Updated 9 months ago
- Code for Active Learning at The ImageNet Scale. This repository implements many popular active learning algorithms and allows training wi…☆52Updated 2 years ago
- ☆19Updated 2 years ago
- Implementation of Beyond Neural Scaling beating power laws for deep models and prototype-based models☆32Updated 2 months ago
- ☆41Updated last year
- Crowdsourcing metrics and test datasets beyond ImageNet (ICML 2022 workshop)☆37Updated 5 months ago
- Algorithms for abstention, calibration and domain adaptation to label shift.☆36Updated 3 years ago