neu-spiral / SparCLLinks
SparCL: Sparse Continual Learning on the Edge @ NeurIPS 22
☆28Updated 2 years ago
Alternatives and similar repositories for SparCL
Users that are interested in SparCL 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
- Official PyTorch implementation of "Dataset Condensation via Efficient Synthetic-Data Parameterization" (ICML'22)☆113Updated last year
- Code for the paper "Representational Continuity for Unsupervised Continual Learning" (ICLR 22)☆98Updated 2 years ago
- [Spotlight ICLR 2023 paper] Continual evaluation for lifelong learning with neural networks, identifying the stability gap.☆29Updated 2 years ago
- Code for NeurIPS 2021 paper "Flattening Sharpness for Dynamic Gradient Projection Memory Benefits Continual Learning".☆16Updated 3 years ago
- Hierarchical Decomposition of Prompt-Based Continual Learning: Rethinking Obscured Sub-optimality (NeurIPS 2023, Spotlight)☆86Updated 9 months ago
- RanPAC: Random Projections and Pre-trained Models for Continual Learning - Official code repository for NeurIPS 2023 Published Paper☆51Updated 6 months ago
- Co^2L: Contrastive Continual Learning (ICCV2021)☆98Updated 3 years ago
- ☆27Updated 3 years ago
- PyTorch code for the CVPR'23 paper: "CODA-Prompt: COntinual Decomposed Attention-based Prompting for Rehearsal-Free Continual Learning"☆146Updated last year
- ☆67Updated 2 years ago
- Revisiting Class-Incremental Learning with Pre-Trained Models: Generalizability and Adaptivity are All You Need (IJCV 2024)☆149Updated last year
- Online Coreset Selection for Rehearsal-based Continual Learning, ICLR 2022☆24Updated 2 years ago
- Source code for "Gradient Based Memory Editing for Task-Free Continual Learning", 4th Lifelong ML Workshop@ICML 2020☆17Updated 2 years ago
- Metrics for "Beyond neural scaling laws: beating power law scaling via data pruning " (NeurIPS 2022 Outstanding Paper Award)☆56Updated 2 years ago
- [CVPR 2023] Regularizing Second-Order Influences for Continual Learning☆35Updated 2 years ago
- Official implementation of AAAI 2023 paper "Parameter-efficient Model Adaptation for Vision Transformers"☆105Updated 2 years ago
- [ECCV 2024] MagMax: Leveraging Model Merging for Seamless Continual Learning (official repository)☆26Updated last year
- 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
- ☆64Updated 3 years ago
- Official code of "Generating Instance-level Prompts for Rehearsal-free Continual Learning (ICCV 2023)"☆43Updated last year
- Code Implementation for CVPR 2023 Paper: Class-Incremental Exemplar Compression for Class-Incremental Learning☆25Updated 2 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 for "Surgical Fine-Tuning Improves Adaptation to Distribution Shifts" published at ICLR 2023☆29Updated 2 years ago
- Code for CVPR paper: Computationally Budgeted Continual Learning: What Does Matter?☆18Updated last year
- Official Implementation of CVPR 2022 paper: "Mimicking the Oracle: An Initial Phase Decorrelation Approach for Class Incremental Learning…☆34Updated 2 years ago
- Codebase for the paper titled "Continual learning with local module selection"☆25Updated 3 years ago
- Official [ICLR] Code Repository for "Gradient Projection Memory for Continual Learning"☆95Updated 4 years ago
- 🔥 🔥 [ECCV 2024 Oral ] Official code for "Weighted Ensemble Models Are Strong Continual Learners"☆28Updated 4 months ago
- Code for the paper "Efficient Dataset Distillation using Random Feature Approximation"☆37Updated 2 years ago