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Machine learning researchers seek alternatives to EMA teachers for distillation

By PulseAugur Editorial · [1 sources] ·

A user on the r/MachineLearning subreddit is seeking information about alternative methods for distillation in machine learning. They are specifically looking for research papers or works that explore different types of "teachers" beyond the commonly used Exponential Moving Average (EMA) approach. The goal is to find stable teacher models that improve alongside the student model without causing drift. AI

IMPACT Explores alternative distillation methods, potentially improving model training efficiency and stability.

RANK_REASON User query on a subreddit about alternative ML techniques.

Read on r/MachineLearning →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Machine learning researchers seek alternatives to EMA teachers for distillation

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User query on a subreddit about alternative ML techniques.
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COVERAGE [1]

  1. r/MachineLearning TIER_1 English(EN) · /u/ifaposto ·

    Teachers other than EMA for distillation ? [R]

    <!-- SC_OFF --><div class="md"><p>Hi guys,</p> <p>Self-distillation methods, see Self-Distillation Fine Tuning SDFT, usually use an EMA (Exponential Moving Average) teacher to get synced and stable targets. I wanted to ask the community for research papers/ works that consider di…

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