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20202026
most citedFair Classification with Group-Dependent Label Noise

35 citations · 91 across the 20 of their papers we have counts for

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Showing 2021Show all

5 papers · 1 filter

cond-mat.mtrl-sci2021★ 15 cited

Commensurate stacking phase transitions in an intercalated transition metal dichalcogenide

Xiaohui Yang, Jin-Ke Bao, Zhefeng Lou +17

Intercalation and stacking order modulation are two active ways in manipulating the interlayer interaction of transition metal dichalcogenides (TMDCs), which lead to a variety of e…

cs.CV2021★ 1 cited

RADA: Robust Adversarial Data Augmentation for Camera Localization in Challenging Weather

Jialu Wang, Muhamad Risqi U. Saputra, Chris Xiaoxuan Lu +2

Camera localization is a fundamental and crucial problem for many robotic applications. In recent years, using deep-learning for camera-based localization has become a popular rese…

cs.CV2021

Are Gender-Neutral Queries Really Gender-Neutral? Mitigating Gender Bias in Image Search

Jialu Wang, Yang Liu, Xin Eric Wang

Internet search affects people's cognition of the world, so mitigating biases in search results and learning fair models is imperative for social good. We study a unique gender bia…

cs.LG2021★ 3 cited

Can Less be More? When Increasing-to-Balancing Label Noise Rates Considered Beneficial

Yang Liu, Jialu Wang

In this paper, we answer the question of when inserting label noise (less informative labels) can instead return us more accurate and fair models. We are primarily inspired by thre…

cs.CL2021★ 4 cited

Assessing Multilingual Fairness in Pre-trained Multimodal Representations

Jialu Wang, Yang Liu, Xin Eric Wang

Recently pre-trained multimodal models, such as CLIP, have shown exceptional capabilities towards connecting images and natural language. The textual representations in English can…