xiaocangshengGR / DDGR
Code for ICML2023 paper, DDGR: Continual Learning with Deep Diffusion-based Generative Replay.
☆36Updated last year
Alternatives and similar repositories for DDGR:
Users that are interested in DDGR are comparing it to the libraries listed below
- [ICLR 2024] - Elastic Feature Consolidation for Cold Start Exemplar-Free Incremental Learning☆22Updated 5 months ago
- ☆15Updated 6 months ago
- Hierarchical Decomposition of Prompt-Based Continual Learning: Rethinking Obscured Sub-optimality (NeurIPS 2023, Spotlight)☆82Updated 4 months ago
- ICLR2024 paper on Continual Learning☆33Updated 11 months ago
- RanPAC: Random Projections and Pre-trained Models for Continual Learning - Official code repository for NeurIPS 2023 Published Paper☆44Updated last month
- [ICCV 2023] A Unified Continual Learning Framework with General Parameter-Efficient Tuning☆78Updated 5 months ago
- Revisiting Class-Incremental Learning with Pre-Trained Models: Generalizability and Adaptivity are All You Need (IJCV 2024)☆135Updated 6 months ago
- Official code of "Generating Instance-level Prompts for Rehearsal-free Continual Learning (ICCV 2023)"☆42Updated last year
- [ICLR 2023] The official code for our ICLR 2023 (top25%) paper: "Neural Collapse Inspired Feature-Classifier Alignment for Few-Shot Class…☆85Updated last year
- Consistent Prompting for Rehearsal-Free Continual Learning [CVPR2024]☆31Updated 9 months ago
- The official implementation of the CVPR'2024 work Interference-Free Low-Rank Adaptation for Continual Learning☆69Updated last week
- ☆17Updated 10 months ago
- Code for ICML 2024 paper (Oral) — Test-Time Model Adaptation with Only Forward Passes☆70Updated 7 months ago
- Code for our NeurIPS´24 paper☆26Updated 4 months ago
- Multi-level Online Sequential Experts (MOSE) for online continual learning problem. (CVPR2024)☆21Updated 8 months ago
- [ECCV 2024] Mind the Interference: Retaining Pre-trained Knowledge in Parameter Efficient Continual Learning of Vision-Language Models☆42Updated 8 months ago
- Domain Generalization through Distilling CLIP with Language Guidance☆28Updated last year
- Instruction Tuning in Continual Learning paradigm☆43Updated last month
- ✌[ICLR 2024] Class Incremental Learning via Likelihood Ratio Based Task Prediction☆29Updated 4 months ago
- ☆33Updated 4 months ago
- Preventing Zero-Shot Transfer Degradation in Continual Learning of Vision-Language Models☆91Updated last year
- The code repository for "A Model or 603 Exemplars: Towards Memory-Efficient Class-Incremental Learning" (ICLR'23) in PyTorch☆41Updated 2 years ago
- This is the official PyTorch Implementation of "SoTTA: Robust Test-Time Adaptation on Noisy Data Streams (NeurIPS '23)" by Taesik Gong*, …☆20Updated last year
- [ICML23] On Pitfalls of Test-Time Adaptation☆113Updated 11 months ago
- Proxy-based Contrastive Replay for Online Class-Incremental Continual Learning☆26Updated last year
- Official implementation for CVPR'23 paper "BlackVIP: Black-Box Visual Prompting for Robust Transfer Learning"☆110Updated last year
- ☆48Updated last year
- [NeurIPS 2024] Code for Dual Prototype Evolving for Test-Time Generalization of Vision-Language Models☆36Updated last week
- ☆26Updated 6 months ago
- [CVPR23] "Understanding and Improving Visual Prompting: A Label-Mapping Perspective" by Aochuan Chen, Yuguang Yao, Pin-Yu Chen, Yihua Zha…☆53Updated last year