kaist-dmlab / AccuACLLinks
Active Learning for Continual Learning: Keeping the Past Alive in the Present
☆19Updated 2 months ago
Alternatives and similar repositories for AccuACL
Users that are interested in AccuACL are comparing it to the libraries listed below
Sorting:
- Mitigating Source Label Dependency in Time-Series Domain Adaptation under Label Shifts☆19Updated 2 months ago
- Repository for the paper, "Exploiting Representation Curvature for Boundary Detection in Time Series" accepted at NeurIPS 2024☆19Updated last year
- Implementation of the paper "Context Consistency Regularization for Label Sparsity in Time Series" (ICML'23)☆22Updated 2 years ago
- ☆26Updated last year
- ☆33Updated 3 years ago
- ☆12Updated 3 years ago
- Implementation of ICLR'22 Coherence-based Label Propagation over Time Series for Accelerated Active Learning☆20Updated 3 years ago
- [CVPR 2024] The code repository for "Expandable Subspace Ensemble for Pre-Trained Model-Based Class-Incremental Learning" in PyTorch.☆80Updated 9 months ago
- [KDD2024] Class-incremental Learning for Time Series: Benchmark and Evaluation☆65Updated last year
- Codes and data for the paper "Hi-COVIDNet: Deep Learning Approach to Predict Inbound COVID-19 Patients and Case Study in South Korea", KD…☆34Updated 3 years ago
- Source code for the paper "Adapt Your Teacher: Improving Knowledge Distillation for Exemplar-free Continual Learning" from WACV 2024☆12Updated last year
- Dual Consolidation for Pre-Trained Model-Based Domain-Incremental Learning （CVPR 2025）☆28Updated 7 months ago
- TensorSparkML brings scalable in-memory machine learning to TensorFlow on Apache Spark clusters.☆18Updated 2 years ago
- A PyTorch framework for Continual Learning research.☆23Updated 2 years ago
- Official Implementation of VarDrop(AAAI25)☆20Updated 2 months ago
- Code for CLVision workshop (CVPR 2024) paper - Calibrating Higher-Order Statistics for Few-Shot Class-Incremental Learning with Pre-train…☆11Updated last year
- The code repository for "Task-Agnostic Guided Feature Expansion for Class-Incremental Learning" (CVPR25)☆23Updated last week
- Official PyTorch Implementation of RA-TTA (ICLR25)☆21Updated 8 months ago
- Code for NeurIPS 2023 paper - FeCAM: Exploiting the Heterogeneity of Class Distributions in Exemplar-Free Continual Learning☆41Updated last year
- ☆33Updated 2 years ago
- ☆24Updated 3 years ago
- A repository and benchmark for online test-time adaptation.☆261Updated 7 months ago
- [NeurIPS 2023] A Unified Approach to Domain Incremental Learning with Memory: Theory and Algorithm☆51Updated 11 months ago
- [CVPR'22] Official Implementation of "CNLL: A Semi-supervised Approach for Continual Noisy Label Learning"☆18Updated last year
- Awesome Few-Shot Class-Incremental Learning☆248Updated last year
- Learnable drift compensation (LDC) reduces semantic drift in continual learning using a trainable projector to map between tasks.☆18Updated last year
- This is the source code of F-OAL: Forward-only Online Analytic Learning with Fast Training and Low Memory Footprint in Class Incremental …☆10Updated last year
- ☆12Updated last year
- PyTorch Implementation of Learning to Prompt (L2P) for Continual Learning @ CVPR22☆201Updated 2 years ago
- ☆14Updated 2 years ago