Two Routes to the Middle: Placement Search and Brain Readouts Converge on Where Continual Learners Should Specialize

arXiv:2610.01590 · cs.LG, cs.CV · Submitted 2026-10-01 · Read on arXiv

cs.LG, cs.CV

Submitted: 2026-10-01

Updated: 2026-10-01

Terminology

• Accuracy — 29× in this paper · explained in 1 episode
• Continual Learning — 10× in this paper · explained in 2 episodes
• Adaptation — 8× in this paper · explained in 1 episode
• In International Conference on Learning Representations — 8× in this paper
• Benchmark — 6× in this paper · explained in 2 episodes
• Computer Vision and Pattern Recognition — 5× in this paper
• Transformer — 5× in this paper · explained in 2 episodes
• CVF International Conference on Computer Vision — 4× in this paper
• Fine-Tuning — 4× in this paper · explained in 5 episodes
• International Conference on Machine Learning — 3× in this paper
• Aggregation — 2× in this paper · explained in 1 episode
• Alignment — 2× in this paper · explained in 1 episode
• Generalizability — 2× in this paper · explained in 6 episodes
• Instruction Tuning — 2× in this paper · explained in 2 episodes
• Robustness — 2× in this paper · explained in 5 episodes
• Adam — 1× in this paper · explained in 2 episodes
• Adaptivity — 1× in this paper · explained in 1 episode
• Benchmarking — 1× in this paper · explained in 3 episodes
• Decode — 1× in this paper · explained in 2 episodes
• Decoupling — 1× in this paper · explained in 2 episodes
• Distribution Shift — 1× in this paper · explained in 5 episodes
• Generalization — 1× in this paper · explained in 13 episodes
• Generative AI — 1× in this paper · explained in 2 episodes
• Parameter-Efficient Fine-Tuning — 1× in this paper · explained in 2 episodes
• Pruning — 1× in this paper · explained in 4 episodes
• Regularization — 1× in this paper · explained in 3 episodes
• Semantic Understanding — 1× in this paper · explained in 2 episodes
• Trace — 1× in this paper · explained in 2 episodes
• Transfer Learning — 1× in this paper · explained in 10 episodes

Sources

• Continuous Knowledge-Preserving Decomposition with Adaptive Layer Selection for Few-Shot Class-Incremental Learning
• BrainWavLM: Fine-tuning Speech Representations with Brain Responses to Language
• Adapter-Enhanced Semantic Prompting for Continual Learning

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