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cs.LG2023
Taming Small-sample Bias in Low-budget Active Learning
Linxin Song, Jieyu Zhang, Xiaotian Lu +1
Active learning (AL) aims to minimize the annotation cost by only querying a few informative examples for each model training stage. However, training a model on a few queried exam…
cs.LG2023★ 1 cited
Condensed Prototype Replay for Class Incremental Learning
Jiangtao Kong, Zhenyu Zong, Tianyi Zhou +1
Incremental learning (IL) suffers from catastrophic forgetting of old tasks when learning new tasks. This can be addressed by replaying previous tasks' data stored in a memory, whi…