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Learning to Explain: Generating Stable Explanations Fast ...
Abstract: Read paper: https://www.aclanthology.org/2021.acl-long.415 Abstract: The importance of explaining the outcome of a machine learning model, especially a black-box model, is widely acknowledged. Recent approaches explain an outcome by identifying the contributions of input features to this outcome. In environments involving large black-box models or complex inputs, this leads to computationally demanding algorithms. Further, these algorithms often suffer from low stability, with explanations varying significantly across similar examples. In this paper, we propose a Learning to Explain (L2E) approach that learns the behaviour of an underlying explanation algorithm simultaneously from all training examples. Once the explanation algorithm is distilled into an explainer network, it can be used to explain new instances. Our experiments on three classification tasks, which compare our approach to six explanation algorithms, show that L2E is between 5 and 7.5×10^4 times faster than these algorithms, while generating ...
Keyword: Computational Linguistics; Condensed Matter Physics; Deep Learning; Electromagnetism; FOS Physical sciences; Information and Knowledge Engineering; Neural Network; Semantics
URL: https://underline.io/lecture/25839-learning-to-explain-generating-stable-explanations-fast
https://dx.doi.org/10.48448/qw95-9969
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2
The importance of social identity on password formulations [<Journal>]
Grobler, Marthie [Verfasser]; Chamikara, M. A. P. [Verfasser]; Abbott, Jacob [Verfasser].
DNB Subject Category Language
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3
DAN: Dual-View Representation Learning for Adapting Stance Classifiers to New Domains ...
Xu, Chang; Paris, Cecile; Nepal, Surya. - : arXiv, 2020
BASE
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4
Assessing Social License to Operate from the Public Discourse on Social Media ...
BASE
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5
Understanding the Mood of Social Media Messages
BASE
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6
Recognising Agreement and Disagreement between Stances with Reason Comparing Networks ...
Xu, Chang; Paris, Cecile; Nepal, Surya. - : arXiv, 2019
BASE
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7
Catering to your concerns: Automatic generation of personalised security-centric descriptions for Android apps
In: ACM Transactions on Cyber-Physical Systems, Vol. 3, no. 4 (Sep 2019), article no. 36 (2019)
BASE
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8
Figurative Usage Detection of Symptom Words to Improve Personal Health Mention Detection
BASE
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9
Cross-Target Stance Classification with Self-Attention Networks ...
Xu, Chang; Paris, Cecile; Nepal, Surya. - : arXiv, 2018
BASE
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10
Catering to Your Concerns: Automatic Generation of Personalised Security-Centric Descriptions for Android Apps ...
BASE
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11
Evaluating the Usability of a Controlled Language Authoring Assistant
In: Prague Bulletin of Mathematical Linguistics , Vol 108, Iss 1, Pp 147-158 (2017) (2017)
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12
Query-oriented evidence extraction to support evidence-based medicine practice
Sarker, Abeed; Mollá, Diego; Paris, Cecile. - : Elsevier, 2016
BASE
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13
Incorporating tweet relationships into topic derivation
Nugroho, Robertus; Molla-Aliod, Diego; Yang, Jian. - : Singapore : Springer, 2016
BASE
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14
A Corpus for research in text processing for evidence based medicine
BASE
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15
Focused and aggregated search: A perspective from natural language generation
In: Information Retrieval (2015)
BASE
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16
Focused and aggregated search: A perspective from natural language generation
In: Information Retrieval (2015)
BASE
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17
Outcome polarity identification of medical papers
Sarker, Abeed; Mollá-Aliod, Diego; Paris, Cécile. - : Melbourne : Australian Language Technology Association, 2011
BASE
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18
Discourse planning for information composition and delivery: a reusable platform
In: Natural language engineering. - Cambridge : Cambridge University Press 16 (2010) 1, 61-98
BLLDB
OLC Linguistik
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19
Spanning tree approaches for statistical sentence generation
Wan, Stephen; Dras, Mark; Dale, Robert. - : Berlin : Springer, 2010
BASE
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20
Detecting emails containing requests for action
Lampert, Andrew; Dale, Robert; Paris, Cecile. - : Stroudsburg, PA : Association for Computational Linguistics, 2010
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