Atenrev / diffusion_continual_learning
PyTorch implementation of various distillation approaches for continual learning of Diffusion Models.
☆22Updated 2 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:
- [Spotlight ICLR 2023 paper] Continual evaluation for lifelong learning with neural networks, identifying the stability gap.☆28Updated 2 years ago
- CoSCL: Cooperation of Small Continual Learners is Stronger than a Big One (ECCV 2022)☆18Updated last year
- The Continual Learning in Multimodality Benchmark☆67Updated last year
- Code for ICML2023 paper, DDGR: Continual Learning with Deep Diffusion-based Generative Replay.☆37Updated last year
- Hierarchical Decomposition of Prompt-Based Continual Learning: Rethinking Obscured Sub-optimality (NeurIPS 2023, Spotlight)☆83Updated 5 months ago
- Code for the CVPR 2023 Paper: "Real-Time Evaluation in Online Continual Learning: A New Hope"☆18Updated 8 months ago
- Official repository for the paper "Self-Supervised Models are Continual Learners" (CVPR 2022)☆124Updated 2 years ago
- [CVPR 2023] Regularizing Second-Order Influences for Continual Learning☆35Updated last year
- Code for NeurIPS 2021 paper "Flattening Sharpness for Dynamic Gradient Projection Memory Benefits Continual Learning".☆16Updated 3 years ago
- Official Code for Dataset Distillation using Neural Feature Regression (NeurIPS 2022)☆47Updated 2 years ago
- ☆16Updated 8 months ago
- Official Implementation of CVPR 2022 paper: "Mimicking the Oracle: An Initial Phase Decorrelation Approach for Class Incremental Learning…☆34Updated 2 years ago
- ☆16Updated 2 years ago
- PyTorch code for the CVPR'23 paper: "ConStruct-VL: Data-Free Continual Structured VL Concepts Learning"☆14Updated last year
- "Scalable and Order-robust Continual Learning with Additive Parameter Decomposition", ICLR 2020☆22Updated 2 years ago
- RanPAC: Random Projections and Pre-trained Models for Continual Learning - Official code repository for NeurIPS 2023 Published Paper☆47Updated 2 months ago
- Official repository for Do Pre-trained Models Benefit Equally in Continual Learning? (Accepted to WACV'23)☆25Updated 6 months ago
- ☆10Updated 3 months ago
- Official repository for "CLIP model is an Efficient Continual Learner".☆95Updated 2 years ago
- Multi-level Online Sequential Experts (MOSE) for online continual learning problem. (CVPR2024)☆22Updated last month
- Code for Continuously Changing Corruptions (CCC) benchmark + evaluation☆35Updated 8 months ago
- Revisiting Class-Incremental Learning with Pre-Trained Models: Generalizability and Adaptivity are All You Need (IJCV 2024)☆137Updated 8 months ago
- [NeurIPS'25] MLLM-CompBench evaluates the comparative reasoning of MLLMs with 40K image pairs and questions across 8 dimensions of relati…☆38Updated 3 weeks ago
- Official pytorch implementation of "Interpreting the Second-Order Effects of Neurons in CLIP"☆39Updated 5 months ago
- ✌[ICLR 2024] Class Incremental Learning via Likelihood Ratio Based Task Prediction☆31Updated 6 months ago
- A PyTorch implementation of Centered Kernel Alignment (CKA) with GPU acceleration.☆46Updated last year
- ☆64Updated 3 years ago
- Code for the paper "Representational Continuity for Unsupervised Continual Learning" (ICLR 22)☆96Updated 2 years ago
- CVPR 2022 Continual Learning in Computer Vision Workshop Challenge☆27Updated 2 years ago
- 🔥 🔥 [ECCV 2024 Oral ] Official code for "Weighted Ensemble Models Are Strong Continual Learners"☆25Updated 3 weeks ago