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ZENODO
Software . 2020
Data sources: Datacite
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ZENODO
Software . 2020
Data sources: ZENODO
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shenweichen/DeepCTR-Torch: v0.2.2

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 09 Oct 2020Publisher:Zenodo
Authors: ZhangYuefeng; zhangwutong; Zeng Kai; Junyi huo; Uchiha.Lin; 7d; tangaqi;

doi: 10.5281/zenodo.4074954

shenweichen/DeepCTR-Torch: v0.2.2

Abstract

Change Log Major Features and Improvements Improve the reproducibility of models Bug Fixes and Other Changes Fix RuntimeError: one of the variables needed for gradient computation has been modified by an inplace operation: [torch.cuda.FloatTensor [128]], which is output 0 of SelectBackward, is at version 2; expected version 1 instead. Hint: enable anomaly detection to find the operation that failed to compute its gradient, with torch.autograd.set_detect_anomaly(True) in : https://github.com/shenweichen/DeepCTR-Torch/issues/88 https://github.com/shenweichen/DeepCTR-Torch/issues/98 https://github.com/shenweichen/DeepCTR-Torch/issues/90 https://github.com/shenweichen/DeepCTR-Torch/issues/102

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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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