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20172026
most citedCausally Regularized Learning with Agnostic Data Selection Bias

97 citations · 563 across the 101 of their papers we have counts for

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Showing 2020Show all

8 papers · 1 filter

cs.CV2020★ 64 cited

DeVLBert: Learning Deconfounded Visio-Linguistic Representations

Shengyu Zhang, Tan Jiang, Tan Wang +6

In this paper, we propose to investigate the problem of out-of-domain visio-linguistic pretraining, where the pretraining data distribution differs from that of downstream data on…

cs.CV2020★ 25 cited

Poet: Product-oriented Video Captioner for E-commerce

Shengyu Zhang, Ziqi Tan, Jin Yu +6

In e-commerce, a growing number of user-generated videos are used for product promotion. How to generate video descriptions that narrate the user-preferred product characteristics…

cs.CV2020★ 24 cited

Comprehensive Information Integration Modeling Framework for Video Titling

Shengyu Zhang, Ziqi Tan, Jin Yu +6

In e-commerce, consumer-generated videos, which in general deliver consumers' individual preferences for the different aspects of certain products, are massive in volume. To recomm…

cs.LG2020★ 3 cited

Stable Prediction via Leveraging Seed Variable

Kun Kuang, Bo Li, Peng Cui +4

In this paper, we focus on the problem of stable prediction across unknown test data, where the test distribution is agnostic and might be totally different from the training one.…

cs.LG2020

Balance-Subsampled Stable Prediction

Kun Kuang, Hengtao Zhang, Fei Wu +2

In machine learning, it is commonly assumed that training and test data share the same population distribution. However, this assumption is often violated in practice because the s…

cs.LG2020★ 27 cited

Algorithmic Decision Making with Conditional Fairness

Renzhe Xu, Peng Cui, Kun Kuang +4

Nowadays fairness issues have raised great concerns in decision-making systems. Various fairness notions have been proposed to measure the degree to which an algorithm is unfair. I…