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deep_learning:incremental_learning:incremental_learning_papers [2021/08/25 19:17]
jordan 		deep_learning:incremental_learning:incremental_learning_papers [2023/03/08 16:11] (current)
xujianglong ↷ Links adapted because of a move operation
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 **Joint Training**: **All parameters $\theta_s$, $\theta_o$, $\theta_n$ are jointly optimized.**  **Drawback**: Joint training becomes increasingly cumbersome in training as more tasks are learned and is not possible if the training data for previously learned tasks is unavailable. **Joint Training**: **All parameters $\theta_s$, $\theta_o$, $\theta_n$ are jointly optimized.**  **Drawback**: Joint training becomes increasingly cumbersome in training as more tasks are learned and is not possible if the training data for previously learned tasks is unavailable.
  
-{{:deep_learning:incremental_learning:illustration_lwf_others.png}}+{{deep_learning:incremental_learning:illustration_lwf_others.png}}
  
 **Algorithm of LwF** **Algorithm of LwF**
  
-{{:deep_learning:incremental_learning:procedure_lwf.png}}+{{deep_learning:incremental_learning:procedure_lwf.png}}
  
 **Backbone** **Backbone**
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   * prioritized exemplar selection based on herding   * prioritized exemplar selection based on herding
   * representation learning using knowledge distillation and prototype rehearsal   * representation learning using knowledge distillation and prototype rehearsal
 +
 +**Introduction**
 +
 +Classification
 +
 +{{deep_learning:incremental_learning:icarl_algorithm1.png?nolink&405x242}}
 +
 +Training
 +
 +{{deep_learning:incremental_learning:icarl_algorithm2.png?nolink&398x316}}
  
 **Why nearest-mean-of-exemplars classification** **Why nearest-mean-of-exemplars classification**
deep_learning/incremental_learning/incremental_learning_papers.1629890265.txt.gz · Last modified: 2021/08/25 19:17 by jordan

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