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DORB: Dynamically Optimizing Multiple Rewards with Bandits

Nov 15, 2020
Ramakanth Pasunuru, Han Guo, Mohit Bansal

* EMNLP 2020 (15 pages) 

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Multi-Source Domain Adaptation for Text Classification via DistanceNet-Bandits

Jan 17, 2020
Han Guo, Ramakanth Pasunuru, Mohit Bansal

* AAAI 2020 (10 pages) 

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AutoSeM: Automatic Task Selection and Mixing in Multi-Task Learning

Apr 08, 2019
Han Guo, Ramakanth Pasunuru, Mohit Bansal

* NAACL 2019 (12 pages) 

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Dynamic Multi-Level Multi-Task Learning for Sentence Simplification

Jun 19, 2018
Han Guo, Ramakanth Pasunuru, Mohit Bansal

* COLING 2018 (15 pages) 

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Soft Layer-Specific Multi-Task Summarization with Entailment and Question Generation

May 28, 2018
Han Guo, Ramakanth Pasunuru, Mohit Bansal

* ACL 2018 (16 pages) 

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Video Denoising and Enhancement via Dynamic Video Layering

Oct 05, 2017
Han Guo, Namrata Vaswani

* Shorter version with title "Video Denoising via Online Sparse and Low-rank Matrix Decomposition" appeared in Statistical Signal Processing Workshop (SSP) 2016 

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Spice up Your Chat: The Intentions and Sentiment Effects of Using Emoji

Mar 08, 2017
Tianran Hu, Han Guo, Hao Sun, Thuy-vy Thi Nguyen, Jiebo Luo

* 10 pages, published at ICWSM'17 

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Correlated-PCA: Principal Components' Analysis when Data and Noise are Correlated

Nov 02, 2016
Namrata Vaswani, Han Guo

* NIPS 2016 (to appear). Longer version submitted to IEEE Trans. Sig. Proc. is at http://www.ece.iastate.edu/~namrata/TSP_corPCA.pdf 

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