Generating Plausible Counterfactual Explanations for Deep Transformers in Financial Text Classification

23 October 2020

Yi Yang

Papers citing "Generating Plausible Counterfactual Explanations for Deep Transformers in Financial Text Classification"

24 / 24 papers shown

Title
Interpreting Language Reward Models via Contrastive Explanations Junqi Jiang Tom Bewley Saumitra Mishra Freddy Lecue Manuela Veloso 109 2 0 25 Nov 2024
On Generating Plausible Counterfactual and Semi-Factual Explanations for Deep Learning Eoin M. Kenny Mark T. Keane 42 100 0 10 Sep 2020
Good Counterfactuals and Where to Find Them: A Case-Based Technique for Generating Counterfactuals for Explainable AI (XAI) Mark T. Keane Barry Smyth CML 49 146 0 26 May 2020
Adversarial Training for Large Neural Language Models Xiaodong Liu Hao Cheng Pengcheng He Weizhu Chen Yu Wang Hoifung Poon Jianfeng Gao AAML 65 184 0 20 Apr 2020
DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter Victor Sanh Lysandre Debut Julien Chaumond Thomas Wolf 78 7,386 0 02 Oct 2019
Learning the Difference that Makes a Difference with Counterfactually-Augmented Data Divyansh Kaushik Eduard H. Hovy Zachary Chase Lipton CML 41 567 0 26 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 230 6,420 0 26 Sep 2019
AllenNLP Interpret: A Framework for Explaining Predictions of NLP Models Eric Wallace Jens Tuyls Junlin Wang Sanjay Subramanian Matt Gardner Sameer Singh MILM 39 137 0 19 Sep 2019
On Identifiability in Transformers Gino Brunner Yang Liu Damian Pascual Oliver Richter Massimiliano Ciaramita Roger Wattenhofer ViT 44 188 0 12 Aug 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 336 24,160 0 26 Jul 2019
Explainable Text-Driven Neural Network for Stock Prediction Linyi Yang Zheng Zhang Su Xiong Lirui Wei James Ng Lina Xu Ruihai Dong AIFin AI4TS 22 51 0 13 Feb 2019
Interpretable Credit Application Predictions With Counterfactual Explanations Rory Mc Grath Luca Costabello Chan Le Van Paul Sweeney F. Kamiab Zhao Shen Freddy Lecue FAtt 31 109 0 13 Nov 2018
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding Jacob Devlin Ming-Wei Chang Kenton Lee Kristina Toutanova VLM SSL SSeg 751 93,936 0 11 Oct 2018
Hierarchical interpretations for neural network predictions Chandan Singh W. James Murdoch Bin Yu 42 145 0 14 Jun 2018
Robustness May Be at Odds with Accuracy Dimitris Tsipras Shibani Santurkar Logan Engstrom Alexander Turner Aleksander Madry AAML 54 1,772 0 30 May 2018
Beyond Word Importance: Contextual Decomposition to Extract Interactions from LSTMs W. James Murdoch Peter J. Liu Bin Yu 45 209 0 16 Jan 2018
Counterfactual Explanations without Opening the Black Box: Automated Decisions and the GDPR Sandra Wachter Brent Mittelstadt Chris Russell MLAU 43 2,332 0 01 Nov 2017
Towards Deep Learning Models Resistant to Adversarial Attacks Aleksander Madry Aleksandar Makelov Ludwig Schmidt Dimitris Tsipras Adrian Vladu SILM OOD 181 11,962 0 19 Jun 2017
Attention Is All You Need Ashish Vaswani Noam M. Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan Gomez Lukasz Kaiser Illia Polosukhin 3DV 278 129,831 0 12 Jun 2017
Towards Evaluating the Robustness of Neural Networks Nicholas Carlini D. Wagner OOD AAML 146 8,497 0 16 Aug 2016
Adversarial Training Methods for Semi-Supervised Text Classification Takeru Miyato Andrew M. Dai Ian Goodfellow GAN 46 1,053 0 25 May 2016
Explaining and Harnessing Adversarial Examples Ian Goodfellow Jonathon Shlens Christian Szegedy AAML GAN 122 18,922 0 20 Dec 2014
Neural Machine Translation by Jointly Learning to Align and Translate Dzmitry Bahdanau Kyunghyun Cho Yoshua Bengio AIMat 308 27,205 0 01 Sep 2014
Convolutional Neural Networks for Sentence Classification Yoon Kim AILaw VLM 514 13,395 0 25 Aug 2014