domain-incremental-learning
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PyTorch implementation of various methods for continual learning (XdG, EWC, SI, LwF, FROMP, DGR, BI-R, ER, A-GEM, iCaRL, Generative Classifier) in three different scenarios.
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Nov 5, 2025 - Jupyter Notebook
RanPAC: Random Projections and Pre-trained Models for Continual Learning - Official code repository for NeurIPS 2023 Published Paper
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Feb 15, 2025 - Python
[NeurIPS 2023] A Unified Approach to Domain Incremental Learning with Memory: Theory and Algorithm
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Jan 26, 2025 - Python
Dual Consolidation for Pre-Trained Model-Based Domain-Incremental Learning (CVPR 2025)
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Jan 28, 2026 - Python
[ICPR 2024] Exemplar-free continual deepfake detector that leverages CLIP and domain-specific multi-modal prompts
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Aug 1, 2024 - Python
Dual Cognitive Architecture: Incorporating Biases and Multi-Memory Systems for Lifelong Learning
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Oct 17, 2023 - Python
🏷️ multi-label cardinality-incremental experiments of our CVWW 2026 submission.
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Jan 21, 2026 - Jupyter Notebook
Implementation of Dark Experience Replay with Reservoir Sampling from scratch, benchmarked on CIL, TIL and DIL.
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Mar 9, 2025 - Jupyter Notebook
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