MadryLab / data-transfer
☆36Updated 2 years ago
Alternatives and similar repositories for data-transfer:
Users that are interested in data-transfer are comparing it to the libraries listed below
- Code release for paper Extremely Simple Activation Shaping for Out-of-Distribution Detection☆52Updated 8 months ago
- [ICLR'22] Self-supervised learning optimally robust representations for domain shift.☆23Updated 3 years ago
- ☆45Updated 2 years ago
- DiWA: Diverse Weight Averaging for Out-of-Distribution Generalization☆30Updated 2 years ago
- Recycling diverse models☆44Updated 2 years ago
- Code for the ICCV 2023 paper "Benchmarking Low-Shot Robustness to Natural Distribution Shifts"☆11Updated last year
- LISA for ICML 2022☆48Updated 2 years ago
- Visual Representation Learning Benchmark for Self-Supervised Models☆36Updated last year
- Code for the paper "A Whac-A-Mole Dilemma Shortcuts Come in Multiples Where Mitigating One Amplifies Others"☆48Updated 9 months ago
- baseline mode for the ObjectNet competition☆17Updated 4 years ago
- ☆12Updated 2 years ago
- Code and results accompanying our paper titled RLSbench: Domain Adaptation under Relaxed Label Shift☆34Updated last year
- ☆26Updated 3 years ago
- ☆25Updated 2 years ago
- Code for Continuously Changing Corruptions (CCC) benchmark + evaluation☆35Updated 8 months ago
- Code for the paper "Efficient Dataset Distillation using Random Feature Approximation"☆37Updated 2 years ago
- This repository includes the official project of L2B, from our paper "Learning to Bootstrap for Combating Label Noise".☆32Updated last month
- ☆26Updated last year
- Github code for the paper Maximum Class Separation as Inductive Bias in One Matrix. Arxiv link: https://arxiv.org/abs/2206.08704☆29Updated 2 years ago
- HIVE: Evaluating the Human Interpretability of Visual Explanations (ECCV 2022)☆19Updated 2 years ago
- Codebase for the paper titled "Continual learning with local module selection"☆25Updated 3 years ago
- Code for ECCV 2022 paper "DICE: Leveraging Sparsification for Out-of-Distribution Detection"☆40Updated 2 years ago
- Official implementation of the paper "Provable Stochastic Optimization for Global Contrastive Learning: Small Batch Does Not Harm Perform…☆20Updated 2 years ago
- ☆43Updated 5 months ago
- Code for CVPR2021 paper: MOOD: Multi-level Out-of-distribution Detection☆38Updated last year
- Official code for "Can We Talk Models Into Seeing the World Differently?" (ICLR 2025).☆23Updated 3 months ago
- On the Importance of Gradients for Detecting Distributional Shifts in the Wild☆56Updated 2 years ago
- Repo for the paper "Extrapolating from a Single Image to a Thousand Classes using Distillation"☆36Updated 9 months ago
- ☆34Updated 2 weeks ago
- ☆23Updated 2 years ago