RenkunNi / MetaAugLinks
☆29Updated 4 years ago
Alternatives and similar repositories for MetaAug
Users that are interested in MetaAug are comparing it to the libraries listed below
Sorting:
- Code Release for Learning to Adapt to Evolving Domains☆31Updated 4 years ago
- Official implementation of paper Gradient Matching for Domain Generalization☆122Updated 3 years ago
- ICLR 2021, Fair Mixup: Fairness via Interpolation☆59Updated 4 years ago
- Learning from Failure: Training Debiased Classifier from Biased Classifier (NeurIPS 2020)☆92Updated 5 years ago
- "Maximum-Entropy Adversarial Data Augmentation for Improved Generalization and Robustness" (NeurIPS 2020).☆51Updated 4 years ago
- This repository is the official implementation of Unleashing the Power of Contrastive Self-Supervised Visual Models via Contrast-Regulari…☆21Updated 2 years ago
- Pytorch implementation of regularization methods for deep networks obtained via kernel methods.☆22Updated 5 years ago
- This is a public repository for:☆39Updated 4 years ago
- ☆39Updated last year
- On the Importance of Gradients for Detecting Distributional Shifts in the Wild☆56Updated 3 years ago
- [TPAMI 2019] The implementation for "Direction Concentration Learning: Enhancing Congruency in Machine Learning"☆23Updated 5 years ago
- ☆27Updated 2 years ago
- ☆49Updated 3 years ago
- ☆33Updated 4 years ago
- [ICML 2021] “ Self-Damaging Contrastive Learning”, Ziyu Jiang, Tianlong Chen, Bobak Mortazavi, Zhangyang Wang☆63Updated 3 years ago
- Energy-Based Models for Continual Learning Official Repository (PyTorch)☆44Updated 3 years ago
- Code for the paper "Adversarial Self-supervised Contrastive Learning" (NeurIPS 2020)☆172Updated 3 years ago
- [ICLR'22] Self-supervised learning optimally robust representations for domain shift.☆24Updated 3 years ago
- ☆109Updated 2 years ago
- Code Release for "Self-supervised Learning is More Robust to Dataset Imbalance"☆39Updated 3 years ago
- ☆37Updated 4 years ago
- ☆22Updated 2 years ago
- [NeurIPS] TTT++: When Does Self-supervised Test-time Training Fail or Thrive?☆71Updated 3 years ago
- ICLR 2021 i-Mix: A Domain-Agnostic Strategy for Contrastive Representation Learning☆79Updated last year
- Code for the paper "Representational Continuity for Unsupervised Continual Learning" (ICLR 22)☆98Updated 2 years ago
- ICLR 2022 (Spolight): Continual Learning With Filter Atom Swapping☆16Updated 2 years ago
- This is a Pytorch implementation of contrastive Learning(CL) baselines.☆14Updated 3 years ago
- Learning Representations that Support Robust Transfer of Predictors☆20Updated 4 years ago
- PyTorch implementation of "Online Hyperparameter Optimization for Class-Incremental Learning" (AAAI 2023 Oral)☆17Updated 2 years ago
- ☆12Updated 3 years ago