On Sensitivity of Deep Learning Based Text Classification Algorithms to Practical Input Perturbations

2 January 2022

Papers citing "On Sensitivity of Deep Learning Based Text Classification Algorithms to Practical Input Perturbations"

9 / 9 papers shown

Title
Evaluating Deep Learning Approaches for Covid19 Fake News Detection Apurva Wani Isha Joshi Snehal Khandve Vedangi Wagh Raviraj Joshi GNN 112 110 0 11 Jan 2021
Robustness Testing of Language Understanding in Task-Oriented Dialog Jiexi Liu Ryuichi Takanobu Jiaxin Wen Dazhen Wan Hongguang Li Weiran Nie Cheng Li Wei Peng Minlie Huang ELM 69 48 0 30 Dec 2020
Challenges in Deploying Machine Learning: a Survey of Case Studies Andrei Paleyes Raoul-Gabriel Urma Neil D. Lawrence 35 394 0 18 Nov 2020
Attention Meets Perturbations: Robust and Interpretable Attention with Adversarial Training Shunsuke Kitada Hitoshi Iyatomi OOD AAML 24 26 0 25 Sep 2020
Beyond Accuracy: Behavioral Testing of NLP models with CheckList Marco Tulio Ribeiro Tongshuang Wu Carlos Guestrin Sameer Singh ELM 133 1,089 0 08 May 2020
Deep Learning for Hindi Text Classification: A Comparison Ramchandra Joshi Purvi Goel Raviraj Joshi VLM 19 40 0 19 Jan 2020
Is BERT Really Robust? A Strong Baseline for Natural Language Attack on Text Classification and Entailment Di Jin Zhijing Jin Qiufeng Wang Peter Szolovits SILM AAML 115 1,064 0 27 Jul 2019
Black-box Generation of Adversarial Text Sequences to Evade Deep Learning Classifiers Ji Gao Jack Lanchantin M. Soffa Yanjun Qi AAML 112 716 0 13 Jan 2018
A Sensitivity Analysis of (and Practitioners' Guide to) Convolutional Neural Networks for Sentence Classification Ye Zhang Byron C. Wallace AAML 86 1,192 0 13 Oct 2015