Official implementation of the paper "Masked Autoencoders are Efficient Class Incremental Learners"
☆43Jun 4, 2024Updated 2 years ago
Alternatives and similar repositories for MAE-CIL
Users that are interested in MAE-CIL are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- [ICCV-2023] Heterogeneous Forgetting Compensation for Class-Incremental Learning☆12Dec 4, 2023Updated 2 years ago
- ☆31Nov 29, 2023Updated 2 years ago
- Official repository for Do Pre-trained Models Benefit Equally in Continual Learning? (Accepted to WACV'23)☆26Oct 20, 2024Updated last year
- PyTorch code for the CVPR'23 paper: "CODA-Prompt: COntinual Decomposed Attention-based Prompting for Rehearsal-Free Continual Learning"☆161Oct 5, 2023Updated 2 years ago
- Revisiting Class-Incremental Learning with Pre-Trained Models: Generalizability and Adaptivity are All You Need (IJCV 2024)☆154Aug 25, 2024Updated 2 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- (WACV'24) Kaizen: Practical self-supervised continual learning with continual fine-tuning☆19Oct 29, 2024Updated last year
- Official repository for the paper "Self-Supervised Models are Continual Learners" (CVPR 2022)☆129Sep 25, 2022Updated 3 years ago
- SLCA: Slow Learner with Classifier Alignment for Continual Learning on a Pre-trained Model @ ICCV 2023 **AND** SLCA++: Unleash the Power …☆56Aug 17, 2024Updated 2 years ago
- Class-Incremental Learning: A Survey (TPAMI 2024)☆288Nov 7, 2024Updated last year
- Code Implementation for CVPR 2023 Paper: Class-Incremental Exemplar Compression for Class-Incremental Learning☆28Jun 21, 2023Updated 3 years ago
- GET: Unlocking the Multi-modal Potential of CLIP for Generalized Category Discovery (CVPR2025)☆37Mar 31, 2025Updated last year
- This is official code implementation of the <Revisiting Neural Networks for Continual Learning: An Architectural Perspective> in IJCAI 20…☆13Nov 25, 2024Updated last year
- Code for "Inducer-tuning: Connecting Prefix-tuning and Adapter-tuning" (EMNLP 2022) and "Empowering Parameter-Efficient Transfer Learning…☆11Feb 6, 2023Updated 3 years ago
- Code for NeurIPS 2022 paper “S-Prompts Learning with Pre-trained Transformers: An Occam’s Razor for Domain Incremental Learning“☆106Sep 26, 2024Updated last year
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- Code for "Self-Sustaining Representation Expansion for Non-Exemplar Class-Incremental Learning"☆21Oct 26, 2022Updated 3 years ago
- ☆52Apr 5, 2025Updated last year
- PyTorch code for our CoLLAs-2022 paper "Online Continual Learning for Embedded Devices"☆13Aug 4, 2022Updated 4 years ago
- Code for NeurIPS 2023 paper - FeCAM: Exploiting the Heterogeneity of Class Distributions in Exemplar-Free Continual Learning☆45Nov 12, 2024Updated last year
- [NeurIPS 2024] GACL: Exemplar-Free Generalized Analytic Continual Learning☆19Nov 5, 2024Updated last year
- PyTorch implementation of "Continual Detection Transformer for Incremental Object Detection" (CVPR 2023)☆112Jan 26, 2025Updated last year
- ☆11Jul 21, 2023Updated 3 years ago
- ☆13Oct 24, 2023Updated 2 years ago
- ☆20Mar 12, 2025Updated last year
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- ☆12Jul 4, 2024Updated 2 years ago
- ☆14Jun 6, 2024Updated 2 years ago
- Official repository for "CLIP model is an Efficient Continual Learner".☆112Dec 13, 2022Updated 3 years ago
- ☆16May 10, 2026Updated 4 months ago
- PyCIL: A Python Toolbox for Class-Incremental Learning☆1,106Jan 29, 2026Updated 7 months ago
- This is an official PyTorch implementation of CBA: Improving Online Continual Learning via Continual Bias Adaptor.☆17Mar 11, 2026Updated 6 months ago
- Learnable Global Pooling Layers Based on Regularized Optimal Transport (ROT)☆16Mar 17, 2024Updated 2 years ago
- ☆15Aug 5, 2024Updated 2 years ago
- ☆36Jun 13, 2023Updated 3 years ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- Generative Feature Replay For Class-Incremental Learning☆38Apr 16, 2020Updated 6 years ago
- ☆10Nov 15, 2023Updated 2 years ago
- ☆14Jun 19, 2023Updated 3 years ago
- ☆10Jun 21, 2019Updated 7 years ago
- [ICML'25] Kernel-based Unsupervised Embedding Alignment for Enhanced Visual Representation in Vision-language Models☆25Sep 7, 2025Updated last year
- Code for the paper "No Train, all Gain: Self-Supervised Gradients Improve Deep Frozen Representations"☆11Oct 31, 2024Updated last year
- 📝 🎉 A curated list of awesome papers for incremental learning with pre-trained models☆57Jun 9, 2025Updated last year