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20212026
most citedNon-negative matrix factorization algorithms generally improve topic model fits

19 citations · 20 across the 7 of their papers we have counts for

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cs.LG2026

Algorithmic Separation between Constant-Depth and Logarithmic-Depth Neural Networks

Yunwei Ren, Zihao Wang, Jason D. Lee

Despite the empirical advantages of deep networks over shallow ones, theoretical depth separations largely concern approximation power, while algorithmic results are mostly limited…

cs.LG2026

Phase Transitions for Feature Learning in Neural Networks

Andrea Montanari, Zihao Wang

According to a popular viewpoint, neural networks learn from data by first identifying low-dimensional representations, and subsequently fitting the best model in this space. Recen…