drimpossible / BudgetCL
Code for CVPR paper: Computationally Budgeted Continual Learning: What Does Matter?
☆18Updated 11 months ago
Alternatives and similar repositories for BudgetCL:
Users that are interested in BudgetCL are comparing it to the libraries listed below
- PyTorch code for our CoLLAs-2022 paper "Online Continual Learning for Embedded Devices"☆12Updated 2 years ago
- SparCL: Sparse Continual Learning on the Edge @ NeurIPS 22☆29Updated last year
- ☆19Updated 11 months ago
- [Spotlight ICLR 2023 paper] Continual evaluation for lifelong learning with neural networks, identifying the stability gap.☆27Updated last year
- ☆12Updated last year
- ☆15Updated 6 months ago
- RanPAC: Random Projections and Pre-trained Models for Continual Learning - Official code repository for NeurIPS 2023 Published Paper☆44Updated last month
- Official repository for the paper "Self-Supervised Models are Continual Learners" (CVPR 2022)☆122Updated 2 years ago
- Revisiting Class-Incremental Learning with Pre-Trained Models: Generalizability and Adaptivity are All You Need (IJCV 2024)☆135Updated 6 months ago
- Code for the paper "Representational Continuity for Unsupervised Continual Learning" (ICLR 22)☆95Updated 2 years ago
- ☆63Updated last year
- Co^2L: Contrastive Continual Learning (ICCV2021)☆93Updated 2 years ago
- Official PyTorch implementation of "Dataset Condensation via Efficient Synthetic-Data Parameterization" (ICML'22)☆111Updated last year
- Code for "Surgical Fine-Tuning Improves Adaptation to Distribution Shifts" published at ICLR 2023☆29Updated last year
- Code for NeurIPS 2021 paper "Flattening Sharpness for Dynamic Gradient Projection Memory Benefits Continual Learning".☆16Updated 3 years ago
- PyTorch implementation of our NeurIPS 2021 paper "Class-Incremental Learning via Dual Augmentation"☆36Updated 2 years ago
- Code Implementation for CVPR 2023 Paper: Class-Incremental Exemplar Compression for Class-Incremental Learning☆24Updated last year
- The code repository for "A Model or 603 Exemplars: Towards Memory-Efficient Class-Incremental Learning" (ICLR'23) in PyTorch☆41Updated last year
- ☆84Updated 2 years ago
- Official implementation of "On the Effectiveness of Lipschitz-Driven Rehearsal in Continual Learning"☆14Updated 2 years ago
- Hierarchical Decomposition of Prompt-Based Continual Learning: Rethinking Obscured Sub-optimality (NeurIPS 2023, Spotlight)☆82Updated 4 months ago
- Official [ICLR] Code Repository for "Gradient Projection Memory for Continual Learning"☆88Updated 3 years ago
- ☆29Updated last year
- CLEAR benchmark (NeurIPS 2021 Dataset & Benchmark)☆25Updated last year
- ☆25Updated 3 years ago
- Code for CVPR2022 paper "Not Just Selection, but Exploration: Online Class-Incremental Continual Learning via Dual View Consistency"☆24Updated 2 years ago
- The code implementation of the <Achieving a Better Stability-Plasticity Trade-off via Auxiliary Networks in Continual Learning> in The Co…☆11Updated last year
- ☆21Updated this week
- Online Coreset Selection for Rehearsal-based Continual Learning, ICLR 2022☆24Updated 2 years ago
- Proxy-based Contrastive Replay for Online Class-Incremental Continual Learning☆26Updated last year