Micromodels for Efficient, Explainable, and Reusable Systems: A Case Study on Mental Health

28 September 2021

Andrew Lee

Jonathan K. Kummerfeld

Lawrence C. An

Rada Mihalcea

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Papers citing "Micromodels for Efficient, Explainable, and Reusable Systems: A Case Study on Mental Health"

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Title
Gender and Racial Fairness in Depression Research using Social Media Carlos Alejandro Aguirre Keith Harrigian Mark Dredze 108 38 0 18 Mar 2021
Infusing Finetuning with Semantic Dependencies Zhaofeng Wu Hao Peng Noah A. Smith 51 37 0 10 Dec 2020
Finding Universal Grammatical Relations in Multilingual BERT Ethan A. Chi John Hewitt Christopher D. Manning 38 151 0 09 May 2020
A Survey on Incorporating Domain Knowledge into Deep Learning for Medical Image Analysis Xiaozhen Xie J. Niu Xuefeng Liu Zhengsu Chen Shaojie Tang Shui Yu 52 15 0 25 Apr 2020
InterpretML: A Unified Framework for Machine Learning Interpretability Harsha Nori Samuel Jenkins Paul Koch R. Caruana AI4CE 150 487 0 19 Sep 2019
K-BERT: Enabling Language Representation with Knowledge Graph Weijie Liu Peng Zhou Zhe Zhao Zhiruo Wang Qi Ju Haotang Deng Ping Wang 303 789 0 17 Sep 2019
Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks Nils Reimers Iryna Gurevych 1.3K 12,193 0 27 Aug 2019
ERNIE: Enhanced Language Representation with Informative Entities Zhengyan Zhang Xu Han Zhiyuan Liu Xin Jiang Maosong Sun Qun Liu 98 1,397 0 17 May 2019
What do you learn from context? Probing for sentence structure in contextualized word representations Ian Tenney Patrick Xia Berlin Chen Alex Jinpeng Wang Adam Poliak ... Najoung Kim Benjamin Van Durme Samuel R. Bowman Dipanjan Das Ellie Pavlick 175 859 0 15 May 2019
Outlier Detection for Improved Data Quality and Diversity in Dialog Systems Stefan Larson Anish Mahendran Andrew Lee Jonathan K. Kummerfeld Parker Hill M. Laurenzano Johann Hauswald Lingjia Tang Jason Mars 36 48 0 05 Apr 2019
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding Jacob Devlin Ming-Wei Chang Kenton Lee Kristina Toutanova VLM SSL SSeg 1.8K 94,770 0 11 Oct 2018
SMHD: A Large-Scale Resource for Exploring Online Language Usage for Multiple Mental Health Conditions Arman Cohan Bart Desmet Andrew Yates Luca Soldaini Sean MacAvaney Nazli Goharian AI4MH 37 140 0 13 Jun 2018
Attention-Based LSTM for Psychological Stress Detection from Spoken Language Using Distant Supervision Genta Indra Winata Onno P. Kampman Pascale Fung 38 43 0 31 May 2018
Training Classifiers with Natural Language Explanations Braden Hancock P. Varma Stephanie Wang Martin Bringmann Percy Liang Christopher Ré FAtt 62 154 0 10 May 2018
Universal Sentence Encoder Daniel Cer Yinfei Yang Sheng-yi Kong Nan Hua Nicole Limtiaco ... Steve Yuan Chris Tar Yun-hsuan Sung B. Strope R. Kurzweil 439 1,904 0 29 Mar 2018
Evaluating Layers of Representation in Neural Machine Translation on Part-of-Speech and Semantic Tagging Tasks Yonatan Belinkov Lluís Màrquez i Villodre Hassan Sajjad Nadir Durrani Fahim Dalvi James R. Glass 60 164 0 23 Jan 2018
Multi-Task Learning for Mental Health using Social Media Text Dirk Hovy Margaret Mitchell Adrian Benton AI4MH 46 135 0 10 Dec 2017
Depression and Self-Harm Risk Assessment in Online Forums Andrew Yates Arman Cohan Nazli Goharian AI4MH 35 282 0 06 Sep 2017
A Unified Approach to Interpreting Model Predictions Scott M. Lundberg Su-In Lee FAtt 1.1K 21,906 0 22 May 2017
Data Programming: Creating Large Training Sets, Quickly Alexander Ratner Christopher De Sa Sen Wu Daniel Selsam Christopher Ré 183 716 0 25 May 2016
"Why Should I Trust You?": Explaining the Predictions of Any Classifier Marco Tulio Ribeiro Sameer Singh Carlos Guestrin FAtt FaML 1.2K 16,976 0 16 Feb 2016