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2020 – today
- 2020
[c9]Wei Wu, Fei Wang, Arianna Yuan, Fei Wu, Jiwei Li:
CorefQA: Coreference Resolution as Query-based Span Prediction. ACL 2020: 6953-6963- [c8]Arianna Yuan, Yang Li:
Modeling Human Visual Search Performance on Realistic Webpages Using Analytical and Deep Learning Methods. CHI 2020: 1-12 - [i9]Xiaoya Li, Yuxian Meng, Arianna Yuan, Fei Wu, Jiwei Li:
LAVA NAT: A Non-Autoregressive Translation Model with Look-Around Decoding and Vocabulary Attention. CoRR abs/2002.03084 (2020) - [i8]Arianna Yuan, Yang Li:
Modeling Human Visual Search Performance on Realistic Webpages Using Analytical and Deep Learning Methods. CoRR abs/2005.03784 (2020) - [i7]Xiaoya Li, Mingxin Zhou, Jiawei Wu, Arianna Yuan, Fei Wu, Jiwei Li:
Analyzing COVID-19 on Online Social Media: Trends, Sentiments and Emotions. CoRR abs/2005.14464 (2020)
2010 – 2019
- 2019
- [c7]Xiaoya Li, Fan Yin, Zijun Sun, Xiayu Li, Arianna Yuan, Duo Chai, Mingxin Zhou, Jiwei Li:
Entity-Relation Extraction as Multi-Turn Question Answering. ACL (1) 2019: 1340-1350 - [c6]Xiaoya Li, Yuxian Meng, Xiaofei Sun, Qinghong Han, Arianna Yuan, Jiwei Li:
Is Word Segmentation Necessary for Deep Learning of Chinese Representations? ACL (1) 2019: 3242-3252 - [c5]Arianna Yuan, Jay McClelland:
Modeling Number Sense Acquisition in A Number Board Game by Coordinating Verbal, Visual, and Grounded Action Components. CogSci 2019: 3186-3192 - [i6]Yuxian Meng, Xiaoya Li, Xiaofei Sun, Qinghong Han, Arianna Yuan, Jiwei Li:
Is Word Segmentation Necessary for Deep Learning of Chinese Representations? CoRR abs/1905.05526 (2019) - [i5]Xiaoya Li, Fan Yin, Zijun Sun, Xiayu Li, Arianna Yuan, Duo Chai, Mingxin Zhou, Jiwei Li:
Entity-Relation Extraction as Multi-Turn Question Answering. CoRR abs/1905.05529 (2019) - [i4]Yuxian Meng, Xiangyuan Ren, Zijun Sun, Xiaoya Li, Arianna Yuan, Fei Wu, Jiwei Li:
Large-scale Pretraining for Neural Machine Translation with Tens of Billions of Sentence Pairs. CoRR abs/1909.11861 (2019) - [i3]Wei Wu, Fei Wang, Arianna Yuan, Fei Wu, Jiwei Li:
Coreference Resolution as Query-based Span Prediction. CoRR abs/1911.01746 (2019) - 2018
- [c4]Arianna Yuan, Will Monroe, Yu Bai, Nate Kushman:
Understanding the Rational Speech Act model. CogSci 2018 - [c3]Shengjia Zhao, Hongyu Ren, Arianna Yuan, Jiaming Song, Noah D. Goodman, Stefano Ermon:
Bias and Generalization in Deep Generative Models: An Empirical Study. NeurIPS 2018: 10815-10824 - [i2]Shuqing Bian, Zhenpeng Deng, Fei Li, Will Monroe, Peng Shi, Zijun Sun, Wei Wu, Sikuang Wang, William Yang Wang, Arianna Yuan, Tianwei Zhang, Jiwei Li:
IcoRating: A Deep-Learning System for Scam ICO Identification. CoRR abs/1803.03670 (2018) - [i1]Shengjia Zhao, Hongyu Ren, Arianna Yuan, Jiaming Song, Noah D. Goodman, Stefano Ermon:
Bias and Generalization in Deep Generative Models: An Empirical Study. CoRR abs/1811.03259 (2018) - 2017
- [c2]Arianna Yuan:
Domain-General Learning of Neural Network Models to Solve Analogy Task - A Large-Scale Simulation. CogSci 2017 - 2016
- [c1]Arianna Yuan, Te-Lin Wu, James L. McClelland:
Emergence of Euclidean geometrical intuitions in hierarchical generative models. CogSci 2016
Coauthor Index
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