Atenrev / diffusion_continual_learningLinks
PyTorch implementation of various distillation approaches for continual learning of Diffusion Models.
☆24Updated 3 months ago
Alternatives and similar repositories for diffusion_continual_learning
Users that are interested in diffusion_continual_learning are comparing it to the libraries listed below
Sorting:
- Code for ICML2023 paper, DDGR: Continual Learning with Deep Diffusion-based Generative Replay.☆37Updated last year
- [Spotlight ICLR 2023 paper] Continual evaluation for lifelong learning with neural networks, identifying the stability gap.☆28Updated 2 years ago
- Hierarchical Decomposition of Prompt-Based Continual Learning: Rethinking Obscured Sub-optimality (NeurIPS 2023, Spotlight)☆86Updated 7 months ago
- CoSCL: Cooperation of Small Continual Learners is Stronger than a Big One (ECCV 2022)☆18Updated last year
- ☆10Updated 5 months ago
- A PyTorch implementation of Centered Kernel Alignment (CKA) with GPU acceleration.☆49Updated last year
- ☆114Updated 2 years ago
- source code for NeurIPS'23 paper "Dream the Impossible: Outlier Imagination with Diffusion Models"☆68Updated 2 months ago
- Official repository for the paper "Self-Supervised Models are Continual Learners" (CVPR 2022)☆124Updated 2 years ago
- Official Code for Dataset Distillation using Neural Feature Regression (NeurIPS 2022)☆47Updated 2 years ago
- ☆16Updated 9 months ago
- [ICLR 2024] - Elastic Feature Consolidation for Cold Start Exemplar-Free Incremental Learning☆28Updated last month
- Code for NeurIPS 2021 paper "Flattening Sharpness for Dynamic Gradient Projection Memory Benefits Continual Learning".☆16Updated 3 years ago
- ✌[ICLR 2024] Class Incremental Learning via Likelihood Ratio Based Task Prediction☆31Updated 7 months ago
- SparCL: Sparse Continual Learning on the Edge @ NeurIPS 22☆29Updated 2 years ago
- [CVPR 2023] Regularizing Second-Order Influences for Continual Learning☆35Updated 2 years ago
- Code for "A Comprehensive Empirical Evaluation on Online Continual Learning" ICCVW 2023 VCL Workshop☆40Updated last year
- Revisiting Class-Incremental Learning with Pre-Trained Models: Generalizability and Adaptivity are All You Need (IJCV 2024)☆144Updated 10 months ago
- Code for Continuously Changing Corruptions (CCC) benchmark + evaluation☆35Updated 10 months ago
- Official pytorch implementation of "Interpreting the Second-Order Effects of Neurons in CLIP"☆39Updated 7 months ago
- Multi-level Online Sequential Experts (MOSE) for online continual learning problem. (CVPR2024)☆22Updated 2 months ago
- [CVPR2024 highlight] Generalized Large-Scale Data Condensation via Various Backbone and Statistical Matching (G-VBSM)☆28Updated 8 months ago
- This repositorie es the code of the paper Optimizing Reusable Knowledge for Continual Learning via Metalearning.☆11Updated 3 years ago
- This is the official PyTorch Implementation of "SoTTA: Robust Test-Time Adaptation on Noisy Data Streams (NeurIPS '23)" by Taesik Gong*, …☆22Updated last year
- Code for the paper "Representational Continuity for Unsupervised Continual Learning" (ICLR 22)☆96Updated 2 years ago
- Official Implementation of CVPR 2022 paper: "Mimicking the Oracle: An Initial Phase Decorrelation Approach for Class Incremental Learning…☆34Updated 2 years ago
- Official repository for "CLIP model is an Efficient Continual Learner".☆97Updated 2 years ago
- Code Implementation for CVPR 2023 Paper: Class-Incremental Exemplar Compression for Class-Incremental Learning☆25Updated 2 years ago
- "Scalable and Order-robust Continual Learning with Additive Parameter Decomposition", ICLR 2020☆23Updated 3 years ago
- [NeurIPS21] TTT++: When Does Self-supervised Test-time Training Fail or Thrive?☆70Updated 3 years ago