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1510.03820
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A Sensitivity Analysis of (and Practitioners' Guide to) Convolutional Neural Networks for Sentence Classification
13 October 2015
Ye Zhang
Byron C. Wallace
AAML
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Papers citing
"A Sensitivity Analysis of (and Practitioners' Guide to) Convolutional Neural Networks for Sentence Classification"
50 / 197 papers shown
Title
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Empirical Comparisons of CNN with Other Learning Algorithms for Text Classification in Legal Document Review
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Show Your Work: Improved Reporting of Experimental Results
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A Sensitivity Analysis of Attention-Gated Convolutional Neural Networks for Sentence Classification
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Self-Balanced Dropout
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Heterogeneous causal effects with imperfect compliance: a Bayesian machine learning approach
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Convolutional Poisson Gamma Belief Network
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Argument Identification in Public Comments from eRulemaking
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Explainability in Human-Agent Systems
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Patent Analytics Based on Feature Vector Space Model: A Case of IoT
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Implicit Regularization of Stochastic Gradient Descent in Natural Language Processing: Observations and Implications
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Exploiting Effective Representations for Chinese Sentiment Analysis Using a Multi-Channel Convolutional Neural Network
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Using Neural Network for Identifying Clickbaits in Online News Media
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SGM: Sequence Generation Model for Multi-label Classification
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Transformation Networks for Target-Oriented Sentiment Classification
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153
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Multimodal Emotion Recognition for One-Minute-Gradual Emotion Challenge
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Xingwei Chen
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19
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Utilizing Neural Networks and Linguistic Metadata for Early Detection of Depression Indications in Text Sequences
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Product Characterisation towards Personalisation: Learning Attributes from Unstructured Data to Recommend Fashion Products
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Extracting Action Sequences from Texts Based on Deep Reinforcement Learning
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Hankui Zhuo
S. Kambhampati
22
59
0
07 Mar 2018
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