jhairgallardo / awesome-continual-self-supervised-learningLinks
List of papers that combine self-supervision and continual learning
☆68Updated 5 months ago
Alternatives and similar repositories for awesome-continual-self-supervised-learning
Users that are interested in awesome-continual-self-supervised-learning are comparing it to the libraries listed below
Sorting:
- Official repository for the paper "Self-Supervised Models are Continual Learners" (CVPR 2022)☆124Updated 2 years ago
- Dynamic Token Expansion with Continual Transformers, accepted at CVPR 2022☆143Updated 3 years ago
- Co^2L: Contrastive Continual Learning (ICCV2021)☆98Updated 3 years ago
- ☆64Updated 3 years ago
- Code for the paper "Representational Continuity for Unsupervised Continual Learning" (ICLR 22)☆98Updated 2 years ago
- [ICML 2023] On Pitfalls of Test-Time Adaptation☆120Updated last year
- This codebase is the official implementation of Test-Time Classifier Adjustment Module for Model-Agnostic Domain Generalization (NeurIPS2…☆100Updated 3 years ago
- 🔥 🔥 [ECCV 2024 Oral ] Official code for "Weighted Ensemble Models Are Strong Continual Learners"☆28Updated 4 months ago
- Revisiting Class-Incremental Learning with Pre-Trained Models: Generalizability and Adaptivity are All You Need (IJCV 2024)☆149Updated last year
- Code for TMLR 2023 paper "OpenCon: Open-world Contrastive Learning"☆37Updated 2 years ago
- Code for ICML 2022 paper — Efficient Test-Time Model Adaptation without Forgetting☆128Updated 2 years ago
- Code for ICLR 2023 paper (Oral) — Towards Stable Test-Time Adaptation in Dynamic Wild World☆191Updated last year
- Code for the ICLR2022 paper on Subspace Regularization for few-shot class incremental image classification☆30Updated 2 years ago
- [NeurIPS] TTT++: When Does Self-supervised Test-time Training Fail or Thrive?☆70Updated 3 years ago
- ☆58Updated 3 years ago
- The code repository for "A Model or 603 Exemplars: Towards Memory-Efficient Class-Incremental Learning" (ICLR'23) in PyTorch☆46Updated 2 years ago
- Code Implementation for CVPR 2023 Paper: Class-Incremental Exemplar Compression for Class-Incremental Learning☆25Updated 2 years ago
- Repository for the paper `DASO: Distribution-Aware Semantics-Oriented Pseudo-label Imbalanced Semi-Supervised Learning'.☆72Updated 3 years ago
- Robustness and adaptation of ImageNet scale models. Pre-Release, stay tuned for updates.☆137Updated 2 years ago
- Code for our CVPR 2022 workshop paper "Towards Exemplar-Free Continual Learning in Vision Transformers"☆23Updated 3 years ago
- PyTorch implementation of CIDER (How to exploit hyperspherical embeddings for out-of-distribution detection), ICLR 2023☆62Updated 2 years ago
- Official repository of CVPR '22 paper "Contrastive Test-Time Adaptation"☆103Updated 3 years ago
- This code accompanies the paper "Parameter-free Online Test-time Adaptation".☆75Updated 3 years ago
- Official repository for "CLIP model is an Efficient Continual Learner".☆98Updated 2 years ago
- ☆54Updated last year
- [ICLR 2022] Open-World Semi-Supervised Learning☆102Updated 3 years ago
- Code for CVPR2022 paper "Not Just Selection, but Exploration: Online Class-Incremental Continual Learning via Dual View Consistency"☆26Updated 3 years ago
- The official PyTorch code for ICLR'22 Paper "Learning Fast, Learning Slow: A General Continual Learning Method based on Complementary Lea…☆51Updated 2 years ago
- ☆29Updated last year
- Code for Continuously Changing Corruptions (CCC) benchmark + evaluation☆36Updated last year