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Thuật ngữ AI

Từ điển đầy đủ về Trí tuệ nhân tạo

162
danh mục
2.032
danh mục con
23.060
thuật ngữ
📂
danh mục con

Incremental Learning

Methods enabling models to learn from new samples without requiring a complete retraining from scratch.

4 thuật ngữ
📂
danh mục con

Knowledge Distillation

Technique for transferring knowledge from an old model to a new model to preserve performance on previous tasks.

4 thuật ngữ
📂
danh mục con

Elastic Weight Consolidation

Regularization approach identifying important weights for previous tasks and limiting their modification during new learning.

15 thuật ngữ
📂
danh mục con

Episodic Memories

Selective storage systems of past examples used for relearning and prevention of catastrophic forgetting.

14 thuật ngữ
📂
danh mục con

Génération de Replay

Création synthétique d'exemples représentatifs des tâches passées pour maintenir les performances sans stocker de vraies données.

17 thuật ngữ
📂
danh mục con

Dynamic Architectures

Models capable of extending or modifying their network structure to integrate new knowledge without affecting previous ones.

10 thuật ngữ
📂
danh mục con

Concept Drift Detection

Algorithms identifying changes in data distribution to continuously adapt learning models.

17 thuật ngữ
📂
danh mục con

Continual Reinforcement Learning

Application of lifelong learning principles to reinforcement learning systems facing evolving environments.

7 thuật ngữ
📂
danh mục con

Continual Meta-Learning

Approaches learning to efficiently learn new tasks while retaining previously acquired capabilities.

12 thuật ngữ
📂
danh mục con

Lifelong Learning Evaluation

Specific protocols and metrics to measure the ability of systems to learn continuously without forgetting.

10 thuật ngữ
📂
danh mục con

Stability-Plasticity Dilemma

Study of the optimal balance between the capacity to learn new information (plasticity) and the preservation of knowledge (stability).

13 thuật ngữ
📂
danh mục con

Progressive Multi-Task Learning

Sequential management of multiple tasks where each new task is learned without degrading performance on previous tasks.

1 thuật ngữ
📂
danh mục con

Neural Network Compaction

Efficient compression techniques for accumulated knowledge to maintain reasonably sized models.

17 thuật ngữ
📂
danh mục con

Continual Transfer Learning

Adaptive methods for transferring knowledge between evolving domains while preserving prior skills.

12 thuật ngữ
📂
danh mục con

Catastrophic Forgetting Regularization

Set of techniques designed to counter catastrophic forgetting during sequential learning of multiple tasks.

15 thuật ngữ
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