
In this paper, we propose an unlearning framework that eficiently and efectively unlearns a given collection of data without retrain-ing the model from scratch.
ERIC - ED654166 - Queering Futures with Data-Driven ...
Queering' questions, unlearns, disrupts, and transforms approaches, expectations, and realities. Futures are time and change. The approach I have designed to operationalize Queering and …
Reinforcement Learning in Multidimensional Environments ...
2015年5月5日 · That having been said, the fRL+decay model learns equally about all features of a chosen stimulus, and later “unlearns” the values of those features that are not consistently …
Prefrontal cortical regulation of fear learning - PMC
The prefrontal cortex regulates the expression of fear based on previously learned information. Recently, this brain area has emerged as critical in the initial formation of fear memories, …
Long-lasting desynchronization in rat hippocampal slice ...
In computational models it has been shown that appropriate stimulation protocols may reshape the connectivity pattern of neural or oscillator networks with synaptic plasticity in a way that the …
Data reorganization refers to the technique that a model provider unlearns data by reorganizing the training dataset. It mainly includes three diferent processing methods according to the …
Protocol - Exploring types of individual unlearning by local ...
2011年1月1日 · Wiping is a form of unlearning focussed relatively narrowly on a particular practice, or activity, where a person consciously unlearns through making deliberate efforts to …