You will be shown an excerpt from a computer science scientific research paper, followed by a question about the paper. Please answer the question. Do not include any text in your response other than the answer.

Context: The MI term in Eq. 4 takes a minimum value when collapsing happens.MIRA naturally avoids collapsed solution via penalizing assignment that exhibits low MI.Specifically, unless starting from the collapsed state, MIRA finds MI-maximizing points around the model prediction; it will not choose collapsed pseudo-labels.Hence, the iterative training to predict such labels will not collapse whenever the prediction of pseudo-labels is achievable.Our empirical results verify that MIRA does not require extra training techniques or artificial constraints to address collapsing.

Question: How does the proposed method address the issue of cluster collapse?
Mutual information regularizer unfavors collapsed representation.