Information-Theoretic Decoupled Prompt Tuning for Continual Learning

arXiv:2609.26257 · cs.LG · Submitted 2026-08-13 · Read on arXiv

cs.LG

Submitted: 2026-08-13

Updated: 2026-08-13

Code: https://github.com/Cloudfly-Z/DPT4CL

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Continual Learning — 28× in this paper · explained in 2 episodes
• Generalization — 18× in this paper · explained in 13 episodes
• Accuracy — 16× in this paper · explained in 1 episode
• Distillation — 16× in this paper · explained in 2 episodes
• Catastrophic Forgetting — 13× in this paper · explained in 5 episodes
• Adaptation — 10× in this paper · explained in 1 episode
• Benchmark — 9× in this paper · explained in 2 episodes
• Information Bottleneck — 7× in this paper
• Consistency — 4× in this paper · explained in 3 episodes
• Decoupling — 4× in this paper · explained in 2 episodes
• Ablation — 3× in this paper · explained in 1 episode
• Ablation study — 3× in this paper · explained in 1 episode
• Redundancy — 3× in this paper · explained in 2 episodes
• Regularization — 3× in this paper · explained in 3 episodes
• Transformer — 3× in this paper · explained in 2 episodes
• Cosine Similarity — 2× in this paper · explained in 3 episodes
• Fine-Tuning — 2× in this paper · explained in 5 episodes
• Loss Function — 2× in this paper · explained in 2 episodes
• Transfer Learning — 2× in this paper · explained in 10 episodes
• Bayesian Framework — 1× in this paper · explained in 3 episodes
• Contrastive Learning — 1× in this paper · explained in 5 episodes
• Distribution Shift — 1× in this paper · explained in 5 episodes
• Generalizability — 1× in this paper · explained in 6 episodes
• Knowledge Distillation — 1× in this paper · explained in 11 episodes
• Latent Representation — 1× in this paper · explained in 2 episodes
• Latent Representations — 1× in this paper · explained in 3 episodes
• Objective Function — 1× in this paper · explained in 2 episodes
• Parameter Efficiency — 1× in this paper · explained in 3 episodes
• Parameter-Efficient Fine-Tuning — 1× in this paper · explained in 2 episodes
• Representation Learning — 1× in this paper · explained in 2 episodes
• Robustness — 1× in this paper · explained in 5 episodes

Sources

• On Tiny Episodic Memories in Continual Learning
• CLIP model is an Efficient Continual Learner
• The information bottleneck method
• UCF101: A Dataset of 101 Human Actions Classes From Videos in The Wild
• Preserving Cross-Modal Consistency for CLIP-based Class-Incremental Learning

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