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20132025
most citedNeural-Symbolic Computing: An Effective Methodology for Principled Integration of Machine Learning and Reasoning

99 citations · 187 across the 23 of their papers we have counts for

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Showing 2019Show all

5 papers · 1 filter

cs.CV2019★ 2 cited

Fashion Outfit Complementary Item Retrieval

Yen-Liang Lin, Son Tran, Larry S. Davis

Complementary fashion item recommendation is critical for fashion outfit completion. Existing methods mainly focus on outfit compatibility prediction but not in a retrieval setting…

cs.CV2019★ 3 cited

Searching for Apparel Products from Images in the Wild

Son Tran, Ming Du, Sampath Chanda +2

In this age of social media, people often look at what others are wearing. In particular, Instagram and Twitter influencers often provide images of themselves wearing different out…

cs.AI2019★ 99 cited

Neural-Symbolic Computing: An Effective Methodology for Principled Integration of Machine Learning and Reasoning

Artur d'Avila Garcez, Marco Gori, Luis C. Lamb +3

Current advances in Artificial Intelligence and machine learning in general, and deep learning in particular have reached unprecedented impact not only across research communities,…

cs.CL2019★ 6 cited

dpUGC: Learn Differentially Private Representation for User Generated Contents

Xuan-Son Vu, Son N. Tran, Lili Jiang

This paper firstly proposes a simple yet efficient generalized approach to apply differential privacy to text representation (i.e., word embedding). Based on it, we propose a user-…

cs.CL2019★ 4 cited

ETNLP: a visual-aided systematic approach to select pre-trained embeddings for a downstream task

Xuan-Son Vu, Thanh Vu, Son N. Tran +1

Given many recent advanced embedding models, selecting pre-trained word embedding (a.k.a., word representation) models best fit for a specific downstream task is non-trivial. In th…