Rich Hein/Sun-Times, File Share NEW YORK — George Wendt, an actor with an everyman charm who played the affable, beer-loving barfly Norm on the hit 1980s TV comedy “Cheers” and later crafted ...

As above, training with --fp16 will cause FloatingPointError: Minimum loss scale reached (0.0001) during some random epoch. So I check the code about this. In fairseq ...

Construction of New Objective Functions Traditional objective functions based on the L2 norm are prone to falling into local minima. In contrast, objective functions constructed based on the ...

Abstract: This paper proposes a metric learning algorithm based on the L2-Norm (L2ML) in the context of the face pair-matching problem as an attempt to overcome the low discriminatory power of most ...

This strategy leverages the correlation between the L2 norm of key embeddings and the corresponding attention scores, enabling the model to retain only the most impactful KV pairs. Unlike prior ...

I'm having trouble identifying high-norm tokens, as mentioned in the "Vision Transformers Needs Registers" paper. I've seen that it is also mentioned at #293. I used the L2 norm and the code from #306 ...

The whole purpose of L2 regularization is to reduce the chance of model overfitting. There are other techniques that have the same purpose. These anti-overfitting techniques include dropout, jittering ...