
Informative Class Activation Maps
We study how to evaluate the quantitative information content of a regio...
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Neural Network Classifier as Mutual Information Evaluator
Crossentropy loss with softmax output is a standard choice to train neu...
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Beyond LowPass Filters: Adaptive Feature Propagation on Graphs
Graph neural networks (GNNs) have been extensively studied for predictio...
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Roughly Collected Dataset for Contact Force Sensing Catheter
With rise of interventional cardiology, Catheter Ablation Therapy (CAT) ...
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word2word: A Collection of Bilingual Lexicons for 3,564 Language Pairs
We present word2word, a publicly available dataset and an opensource Py...
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Rethinking Softmax with CrossEntropy: Neural Network Classifier as Mutual Information Estimator
Mutual information is widely applied to learn latent representations of ...
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Softmax Is Not an Artificial Trick: An InformationTheoretic View of Softmax in Neural Networks
Despite great popularity of applying softmax to map the nonnormalised o...
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Tracking the Digital Traces of Russian Trolls: Distinguishing the Roles and Strategy of Trolls On Twitter
Online trolling has raised serious concerns about manipulating public op...
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SelfBounded Prediction Suffix Tree via Approximate String Matching
Prediction suffix trees (PST) provide an effective tool for sequence mod...
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Neural Dynamic Programming for Musical Self Similarity
We present a neural sequence model designed specifically for symbolic mu...
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Joint Modeling of Topics, Citations, and Topical Authority in Academic Corpora
Much of scientific progress stems from previously published findings, bu...
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Computer Assisted Composition with Recurrent Neural Networks
Sequence modeling with neural networks has lead to powerful models of sy...
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Probabilistic Knowledge Graph Construction: Compositional and Incremental Approaches
Knowledge graph construction consists of two tasks: extracting informati...
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Hierarchical learning of grids of microtopics
The counting grid is a grid of microtopics, sparse word/feature distribu...
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Variable Selection for Latent Dirichlet Allocation
In latent Dirichlet allocation (LDA), topics are multinomial distributio...
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Dongwoo Kim
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