Jul 5, 2024 · Continual learning and few-shot learning are important ... Expanding continual few-shot learning benchmarks to include recognition of specific instances.

Jul 18, 2024 · This benchmark aims to model a realistic CL setting for the multi-label classification problem in medical imaging. Additionally, it encompasses a greater number ...

Jul 10, 2024 · Continual Learning (CL) on time series data represents a promising but under-studied avenue for real-world applications. We propose two new CL benchmarks for ...

Jul 23, 2024 · Continual Learning. 927 papers with code • 29 benchmarks • 30 datasets. Continual Learning (also known as Incremental Learning, Life- ...

Jul 17, 2024 · The results show a better overall accuracy (Figure 2), as well as a much lower forgetting rate over time, when using continual learning models, compared to the ...

8 days ago · Abstract:Parameter-efficient fine-tuning for continual learning (PEFT-CL) has shown promise in adapting pre-trained models to sequential tasks while ...

Missing: benchmarks | Show results with:benchmarks

Jul 23, 2024 · For this new problem, we build 4 new benchmarks from the wilds dataset (Koh et al., 2021), and implement 12 algorithms and baselines including both supervised ...

Jul 11, 2024 · The strong performance of these pre-trained models (PTMs) presents a promising avenue for developing continual learning algorithms that can effectively adapt to ...

Jul 10, 2024 · CVM overcome state-of-the-art continual learning methods on five benchmarks and offers a promising avenue for addressing generalization capabilities in ...