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Speeding Up Entmax von Tezekbayev, Maxat, Nikoulina, Vassilina, Gallé, Matthias, Assylbekov, Zhenisbek

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Semantics- and Syntax-related Subvectors in the Skip-gram Embeddings von Tezekbayev, Maxat, Assylbekov, Zhenisbek, Takhanov, Rustem

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Autoencoders for a manifold learning problem with a Jacobian rank constraint von Takhanov, Rustem, Y Sultan Abylkairov, Tezekbayev, Maxat

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Gradient Descent Fails to Learn High-frequency Functions and Modular Arithmetic von Takhanov, Rustem, Tezekbayev, Maxat, Pak, Artur, Bolatov, Arman, Assylbekov, Zhenisbek

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The Rediscovery Hypothesis: Language Models Need to Meet Linguistics von Nikoulina, Vassilina, Tezekbayev, Maxat, Kozhakhmet, Nuradil, Babazhanova, Madina, Gallé, Matthias, Assylbekov, Zhenisbek

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Speeding Up Entmax von Tezekbayev, Maxat, Nikoulina, Vassilina, Gallé, Matthias, Assylbekov, Zhenisbek

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Intractability of Learning the Discrete Logarithm with Gradient-Based Methods von Takhanov, Rustem, Tezekbayev, Maxat, Pak, Artur, Bolatov, Arman, Kadyrsizova, Zhibek, Assylbekov, Zhenisbek

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Long-Tail Theory under Gaussian Mixtures von Bolatov, Arman, Tezekbayev, Maxat, Melnykov, Igor, Pak, Artur, Nikoulina, Vassilina, Assylbekov, Zhenisbek

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Semantics- and Syntax-related Subvectors in the Skip-gram Embeddings von Tezekbayev, Maxat, Assylbekov, Zhenisbek, Takhanov, Rustem

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