UATTA-EB: Uncertainty-Aware Test-Time Augmented Ensemble of BERTs for Classifying Common Mental Illnesses on Social Media Posts

10 April 2023

Papers citing "UATTA-EB: Uncertainty-Aware Test-Time Augmented Ensemble of BERTs for Classifying Common Mental Illnesses on Social Media Posts"

29 / 29 papers shown

Title
Mental Illness Classification on Social Media Texts using Deep Learning and Transfer Learning Iqra Ameer M. Arif Grigori Sidorov Helena Gómez-Adorno Alexander Gelbukh AI4MH 41 23 0 03 Jul 2022
Uncertainty-aware deep learning methods for robust diabetic retinopathy classification J. Jaskari J. Sahlsten Theodoros Damoulas Jeremias Knoblauch Simo Särkkä L. Kärkkäinen K. Hietala K. Kaski BDL UQCV 42 28 0 22 Jan 2022
Evaluating Predictive Uncertainty and Robustness to Distributional Shift Using Real World Data Kumud Lakara Akshat Bhandari Pratinav Seth Ujjwal Verma OOD 55 4 0 08 Nov 2021
Better Aggregation in Test-Time Augmentation Divya Shanmugam Davis W. Blalock Guha Balakrishnan John Guttag ViT 67 148 0 23 Nov 2020
An Analysis of Simple Data Augmentation for Named Entity Recognition Xiang Dai Heike Adel 97 198 0 22 Oct 2020
DeBERTa: Decoding-enhanced BERT with Disentangled Attention Pengcheng He Xiaodong Liu Jianfeng Gao Weizhu Chen AAML 161 2,737 0 05 Jun 2020
Pretrained Transformers Improve Out-of-Distribution Robustness Dan Hendrycks Xiaoyuan Liu Eric Wallace Adam Dziedzic R. Krishnan Basel Alomair OOD 191 434 0 13 Apr 2020
An Exploration of Data Augmentation and Sampling Techniques for Domain-Agnostic Question Answering Shayne Longpre Yi Lu Zhucheng Tu Christopher DuBois 61 70 0 04 Dec 2019
Calibration tests in multi-class classification: A unifying framework David Widmann Fredrik Lindsten Dave Zachariah 78 94 0 24 Oct 2019
DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter Victor Sanh Lysandre Debut Julien Chaumond Thomas Wolf 232 7,520 0 02 Oct 2019
Controllable Data Synthesis Method for Grammatical Error Correction Liner Yang Chencheng Wang Yuxiang Chen Yongping Du Erhong Yang 48 17 0 29 Sep 2019
ALBERT: A Lite BERT for Self-supervised Learning of Language Representations Zhenzhong Lan Mingda Chen Sebastian Goodman Kevin Gimpel Piyush Sharma Radu Soricut SSL AIMat 368 6,455 0 26 Sep 2019
RoBERTa: A Robustly Optimized BERT Pretraining Approach Yinhan Liu Myle Ott Naman Goyal Jingfei Du Mandar Joshi Danqi Chen Omer Levy M. Lewis Luke Zettlemoyer Veselin Stoyanov AIMat 662 24,464 0 26 Jul 2019
Generalized Data Augmentation for Low-Resource Translation Mengzhou Xia X. Kong Antonios Anastasopoulos Graham Neubig 67 121 0 10 Jun 2019
Can You Trust Your Model's Uncertainty? Evaluating Predictive Uncertainty Under Dataset Shift Yaniv Ovadia Emily Fertig Jie Jessie Ren Zachary Nado D. Sculley Sebastian Nowozin Joshua V. Dillon Balaji Lakshminarayanan Jasper Snoek UQCV 170 1,695 0 06 Jun 2019
XLDA: Cross-Lingual Data Augmentation for Natural Language Inference and Question Answering Jasdeep Singh Bryan McCann N. Keskar Caiming Xiong R. Socher ELM 48 81 0 27 May 2019
Good-Enough Compositional Data Augmentation Jacob Andreas 68 234 0 21 Apr 2019
Data Augmentation for BERT Fine-Tuning in Open-Domain Question Answering Wei Yang Yuqing Xie Luchen Tan Kun Xiong Ming Li Jimmy J. Lin RALM OOD 52 64 0 14 Apr 2019
Certified Adversarial Robustness via Randomized Smoothing Jeremy M. Cohen Elan Rosenfeld J. Zico Kolter AAML 152 2,044 0 08 Feb 2019
Deflecting Adversarial Attacks with Pixel Deflection Aaditya (Adi) Prakash N. Moran Solomon Garber Antonella DiLillo J. Storer AAML 61 303 0 26 Jan 2018
Deep Neural Networks as Gaussian Processes Jaehoon Lee Yasaman Bahri Roman Novak S. Schoenholz Jeffrey Pennington Jascha Narain Sohl-Dickstein UQCV BDL 128 1,093 0 01 Nov 2017
Multi-Task Learning Using Uncertainty to Weigh Losses for Scene Geometry and Semantics Alex Kendall Y. Gal R. Cipolla 3DH 272 3,123 0 19 May 2017
Active Bias: Training More Accurate Neural Networks by Emphasizing High Variance Samples Haw-Shiuan Chang Erik Learned-Miller Andrew McCallum 75 353 0 24 Apr 2017
Data Recombination for Neural Semantic Parsing Robin Jia Percy Liang 84 466 0 11 Jun 2016
Improving Neural Machine Translation Models with Monolingual Data Rico Sennrich Barry Haddow Alexandra Birch 248 2,722 0 20 Nov 2015
Variational Dropout and the Local Reparameterization Trick Diederik P. Kingma Tim Salimans Max Welling BDL 226 1,514 0 08 Jun 2015
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 827 9,318 0 06 Jun 2015
Probabilistic Backpropagation for Scalable Learning of Bayesian Neural Networks José Miguel Hernández-Lobato Ryan P. Adams UQCV BDL 130 946 0 18 Feb 2015
Going Deeper with Convolutions Christian Szegedy Wei Liu Yangqing Jia P. Sermanet Scott E. Reed Dragomir Anguelov D. Erhan Vincent Vanhoucke Andrew Rabinovich 477 43,658 0 17 Sep 2014