Add spacy.TextCatParametricAttention.v1 #13201
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danieldk
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This layer provides is a simplification of the ensemble classifier that only uses paramteric attention. We have found empirically that with a sufficient amount of training data, using the ensemble classifier with BoW does not provide significant improvement in classifier accuracy. However, plugging in a BoW classifier does reduce GPU training and inference performance substantially, since it uses a GPU-only kernel.
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jordankanter
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Mar 14, 2024
* Add spacy.TextCatParametricAttention.v1 This layer provides is a simplification of the ensemble classifier that only uses paramteric attention. We have found empirically that with a sufficient amount of training data, using the ensemble classifier with BoW does not provide significant improvement in classifier accuracy. However, plugging in a BoW classifier does reduce GPU training and inference performance substantially, since it uses a GPU-only kernel. * Fix merge fallout
jordankanter
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Mar 29, 2024
* Add spacy.TextCatParametricAttention.v1 This layer provides is a simplification of the ensemble classifier that only uses paramteric attention. We have found empirically that with a sufficient amount of training data, using the ensemble classifier with BoW does not provide significant improvement in classifier accuracy. However, plugging in a BoW classifier does reduce GPU training and inference performance substantially, since it uses a GPU-only kernel. * Fix merge fallout
jordankanter
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Apr 17, 2024
* Add spacy.TextCatParametricAttention.v1 This layer provides is a simplification of the ensemble classifier that only uses paramteric attention. We have found empirically that with a sufficient amount of training data, using the ensemble classifier with BoW does not provide significant improvement in classifier accuracy. However, plugging in a BoW classifier does reduce GPU training and inference performance substantially, since it uses a GPU-only kernel. * Fix merge fallout
jordankanter
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Apr 17, 2024
* Add spacy.TextCatParametricAttention.v1 This layer provides is a simplification of the ensemble classifier that only uses paramteric attention. We have found empirically that with a sufficient amount of training data, using the ensemble classifier with BoW does not provide significant improvement in classifier accuracy. However, plugging in a BoW classifier does reduce GPU training and inference performance substantially, since it uses a GPU-only kernel. * Fix merge fallout
jordankanter
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May 3, 2024
* Add spacy.TextCatParametricAttention.v1 This layer provides is a simplification of the ensemble classifier that only uses paramteric attention. We have found empirically that with a sufficient amount of training data, using the ensemble classifier with BoW does not provide significant improvement in classifier accuracy. However, plugging in a BoW classifier does reduce GPU training and inference performance substantially, since it uses a GPU-only kernel. * Fix merge fallout
jordankanter
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May 3, 2024
* Add spacy.TextCatParametricAttention.v1 This layer provides is a simplification of the ensemble classifier that only uses paramteric attention. We have found empirically that with a sufficient amount of training data, using the ensemble classifier with BoW does not provide significant improvement in classifier accuracy. However, plugging in a BoW classifier does reduce GPU training and inference performance substantially, since it uses a GPU-only kernel. * Fix merge fallout
jordankanter
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May 10, 2024
* Add spacy.TextCatParametricAttention.v1 This layer provides is a simplification of the ensemble classifier that only uses paramteric attention. We have found empirically that with a sufficient amount of training data, using the ensemble classifier with BoW does not provide significant improvement in classifier accuracy. However, plugging in a BoW classifier does reduce GPU training and inference performance substantially, since it uses a GPU-only kernel. * Fix merge fallout
jordankanter
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May 10, 2024
* Add spacy.TextCatParametricAttention.v1 This layer provides is a simplification of the ensemble classifier that only uses paramteric attention. We have found empirically that with a sufficient amount of training data, using the ensemble classifier with BoW does not provide significant improvement in classifier accuracy. However, plugging in a BoW classifier does reduce GPU training and inference performance substantially, since it uses a GPU-only kernel. * Fix merge fallout
jordankanter
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May 10, 2024
* Add spacy.TextCatParametricAttention.v1 This layer provides is a simplification of the ensemble classifier that only uses paramteric attention. We have found empirically that with a sufficient amount of training data, using the ensemble classifier with BoW does not provide significant improvement in classifier accuracy. However, plugging in a BoW classifier does reduce GPU training and inference performance substantially, since it uses a GPU-only kernel. * Fix merge fallout
jordankanter
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May 10, 2024
* Add spacy.TextCatParametricAttention.v1 This layer provides is a simplification of the ensemble classifier that only uses paramteric attention. We have found empirically that with a sufficient amount of training data, using the ensemble classifier with BoW does not provide significant improvement in classifier accuracy. However, plugging in a BoW classifier does reduce GPU training and inference performance substantially, since it uses a GPU-only kernel. * Fix merge fallout
jordankanter
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May 10, 2024
* Add spacy.TextCatParametricAttention.v1 This layer provides is a simplification of the ensemble classifier that only uses paramteric attention. We have found empirically that with a sufficient amount of training data, using the ensemble classifier with BoW does not provide significant improvement in classifier accuracy. However, plugging in a BoW classifier does reduce GPU training and inference performance substantially, since it uses a GPU-only kernel. * Fix merge fallout
jordankanter
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May 10, 2024
* Add spacy.TextCatParametricAttention.v1 This layer provides is a simplification of the ensemble classifier that only uses paramteric attention. We have found empirically that with a sufficient amount of training data, using the ensemble classifier with BoW does not provide significant improvement in classifier accuracy. However, plugging in a BoW classifier does reduce GPU training and inference performance substantially, since it uses a GPU-only kernel. * Fix merge fallout
jordankanter
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May 21, 2024
* Add spacy.TextCatParametricAttention.v1 This layer provides is a simplification of the ensemble classifier that only uses paramteric attention. We have found empirically that with a sufficient amount of training data, using the ensemble classifier with BoW does not provide significant improvement in classifier accuracy. However, plugging in a BoW classifier does reduce GPU training and inference performance substantially, since it uses a GPU-only kernel. * Fix merge fallout
jordankanter
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May 21, 2024
* Add spacy.TextCatParametricAttention.v1 This layer provides is a simplification of the ensemble classifier that only uses paramteric attention. We have found empirically that with a sufficient amount of training data, using the ensemble classifier with BoW does not provide significant improvement in classifier accuracy. However, plugging in a BoW classifier does reduce GPU training and inference performance substantially, since it uses a GPU-only kernel. * Fix merge fallout
jordankanter
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May 21, 2024
* Add spacy.TextCatParametricAttention.v1 This layer provides is a simplification of the ensemble classifier that only uses paramteric attention. We have found empirically that with a sufficient amount of training data, using the ensemble classifier with BoW does not provide significant improvement in classifier accuracy. However, plugging in a BoW classifier does reduce GPU training and inference performance substantially, since it uses a GPU-only kernel. * Fix merge fallout
jordankanter
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May 21, 2024
* Add spacy.TextCatParametricAttention.v1 This layer provides is a simplification of the ensemble classifier that only uses paramteric attention. We have found empirically that with a sufficient amount of training data, using the ensemble classifier with BoW does not provide significant improvement in classifier accuracy. However, plugging in a BoW classifier does reduce GPU training and inference performance substantially, since it uses a GPU-only kernel. * Fix merge fallout
jordankanter
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May 21, 2024
* Add spacy.TextCatParametricAttention.v1 This layer provides is a simplification of the ensemble classifier that only uses paramteric attention. We have found empirically that with a sufficient amount of training data, using the ensemble classifier with BoW does not provide significant improvement in classifier accuracy. However, plugging in a BoW classifier does reduce GPU training and inference performance substantially, since it uses a GPU-only kernel. * Fix merge fallout
jordankanter
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May 21, 2024
* Add spacy.TextCatParametricAttention.v1 This layer provides is a simplification of the ensemble classifier that only uses paramteric attention. We have found empirically that with a sufficient amount of training data, using the ensemble classifier with BoW does not provide significant improvement in classifier accuracy. However, plugging in a BoW classifier does reduce GPU training and inference performance substantially, since it uses a GPU-only kernel. * Fix merge fallout
jordankanter
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May 21, 2024
* Add spacy.TextCatParametricAttention.v1 This layer provides is a simplification of the ensemble classifier that only uses paramteric attention. We have found empirically that with a sufficient amount of training data, using the ensemble classifier with BoW does not provide significant improvement in classifier accuracy. However, plugging in a BoW classifier does reduce GPU training and inference performance substantially, since it uses a GPU-only kernel. * Fix merge fallout
jordankanter
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May 21, 2024
* Add spacy.TextCatParametricAttention.v1 This layer provides is a simplification of the ensemble classifier that only uses paramteric attention. We have found empirically that with a sufficient amount of training data, using the ensemble classifier with BoW does not provide significant improvement in classifier accuracy. However, plugging in a BoW classifier does reduce GPU training and inference performance substantially, since it uses a GPU-only kernel. * Fix merge fallout
jordankanter
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May 21, 2024
* Add spacy.TextCatParametricAttention.v1 This layer provides is a simplification of the ensemble classifier that only uses paramteric attention. We have found empirically that with a sufficient amount of training data, using the ensemble classifier with BoW does not provide significant improvement in classifier accuracy. However, plugging in a BoW classifier does reduce GPU training and inference performance substantially, since it uses a GPU-only kernel. * Fix merge fallout
jordankanter
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May 21, 2024
* Add spacy.TextCatParametricAttention.v1 This layer provides is a simplification of the ensemble classifier that only uses paramteric attention. We have found empirically that with a sufficient amount of training data, using the ensemble classifier with BoW does not provide significant improvement in classifier accuracy. However, plugging in a BoW classifier does reduce GPU training and inference performance substantially, since it uses a GPU-only kernel. * Fix merge fallout
jordankanter
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May 21, 2024
* Add spacy.TextCatParametricAttention.v1 This layer provides is a simplification of the ensemble classifier that only uses paramteric attention. We have found empirically that with a sufficient amount of training data, using the ensemble classifier with BoW does not provide significant improvement in classifier accuracy. However, plugging in a BoW classifier does reduce GPU training and inference performance substantially, since it uses a GPU-only kernel. * Fix merge fallout
jordankanter
pushed a commit
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May 21, 2024
* Add spacy.TextCatParametricAttention.v1 This layer provides is a simplification of the ensemble classifier that only uses paramteric attention. We have found empirically that with a sufficient amount of training data, using the ensemble classifier with BoW does not provide significant improvement in classifier accuracy. However, plugging in a BoW classifier does reduce GPU training and inference performance substantially, since it uses a GPU-only kernel. * Fix merge fallout
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Description
This layer provides is a simplification of the ensemble classifier that only uses paramteric attention. We have found empirically that with a sufficient amount of training data, using the ensemble classifier with BoW does not provide significant improvement in classifier accuracy. However, plugging in a BoW classifier does reduce GPU training and inference performance substantially, since it uses a GPU-only kernel.
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