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Robustness Gym: Unifying the NLP Evaluation Landscape
[article]
2021
arXiv
pre-print
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In this work, we identify challenges with evaluating NLP systems and propose a solution in the form of Robustness Gym (RG), a simple and extensible evaluation toolkit that unifies 4 standard evaluation ...
Robustness Gym can be found at https://robustnessgym.com/ ...
KG and NR conceived the idea of Robustness Gym. KG, NR, and JV made significant overall contributions to the toolkit. ST and JW ran initial experiments on some NLP tasks. ...
arXiv:2101.04840v1
fatcat:gky3ggyvavgr3atajqjnhgs52i
Robustness Gym: Unifying the NLP Evaluation Landscape
2021
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Demonstrations
unpublished
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In this work, we identify challenges with evaluating NLP systems and propose a solution in the form of Robustness Gym (RG), 1 a simple and extensible evaluation toolkit that unifies 4 standard evaluation ...
Robustness Gym is under active development and we welcome feedback & contributions from the community. 2. Transformations. Perturb data to check that the model responds correctly to changes. ...
In response to these challenges, we introduce Robustness Gym (RG), a simple, extensible and unified toolkit for evaluating robustness and sharing findings ( Figure 1 ). ...
doi:10.18653/v1/2021.naacl-demos.6
fatcat:unrw4gmueffrznwvfx7pn4vfem
Thinking Beyond Distributions in Testing Machine Learned Models
[article]
2021
arXiv
pre-print
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While recent work on robustness and fairness testing within the ML community has pointed to the importance of testing against distributional shifts, these efforts also focus on estimating the likelihood ...
as the training dataset. ...
Robustness gym: Unifying the NLP evaluation landscape. ...
arXiv:2112.03057v1
fatcat:af2ih6jo5vdhrgvouhygmx4wfe
Identifying Adversarial Attacks on Text Classifiers
[article]
2022
arXiv
pre-print
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The landscape of adversarial attacks against text classifiers continues to grow, with new attacks developed every year and many of them available in standard toolkits, such as TextAttack and OpenAttack ...
In response, there is a growing body of work on robust learning, which reduces vulnerability to these attacks, though sometimes at a high cost in compute time or accuracy. ...
This work benefited from access to the University of Oregon high performance computer, Talapas. ...
arXiv:2201.08555v1
fatcat:bknr7chhaza2bhnrwveufhot2m
NL-Augmenter: A Framework for Task-Sensitive Natural Language Augmentation
[article]
2021
arXiv
pre-print
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Data augmentation is an important component in the robustness evaluation of models in natural language processing (NLP) and in enhancing the diversity of the data they are trained on. ...
The infrastructure, datacards and robustness analysis results are available publicly on the NL-Augmenter repository (). ...
Robust- semantic role labeling using parameterized neigh-
ness Gym: Unifying the NLP evaluation landscape. borhood memory adaptation. ...
arXiv:2112.02721v1
fatcat:uqizuxc4wzgxnnfsc6azh6ckpq
A Compression-Based Method for Detecting Anomalies in Textual Data
2021
Entropy
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The results obtained show the validity and flexibility of our approach in different security scenarios with a low configuration burden. ...
Defence mechanisms are generally articulated around tools that trace and store information in several ways, the simplest one being the generation of plain text files coined as security logs. ...
now chilling out and cleaning the gym oiss easy!! ...
doi:10.3390/e23050618
pmid:34065721
pmcid:PMC8156803
fatcat:uyvkt7ntnnhzfaomroihi35kwy
Reinforcement Learning in Practice: Opportunities and Challenges
[article]
2022
arXiv
pre-print
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Various groups of readers, like researchers, engineers, students, managers, investors, officers, and people wanting to know more about the field, may find the article interesting. ...
The article is based on both historical and recent research papers, surveys, tutorials, talks, blogs, books, (panel) discussions, and workshops/conferences. ...
Powell (2019) proposes a unified framework based on stochastic control. ...
arXiv:2202.11296v2
fatcat:xdtsmme22rfpfn6rgfotcspnhy
ECLIPSE: Efficient Long-range Video Retrieval using Sight and Sound
[article]
2022
arXiv
pre-print
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Our method, named ECLIPSE (Efficient CLIP with Sound Encoding), adapts the popular CLIP model to an audiovisual video setting, by adding a unified audiovisual transformer block that captures complementary ...
cues from the video and audio streams. ...
While these approaches are effective in NLP, they are still very costly in the video domain due to the high dimensionality of video inputs. ...
arXiv:2204.02874v3
fatcat:rxkjg5r22zgxbp24kuvqq2lvfi
Deep Reinforcement Learning: An Overview
[article]
2018
arXiv
pre-print
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Hu et al. (2017) unified GANs and Variational Autoencoders (VAEs). ...
Its open source based on OpenAI Gym is available at https://github.com/siemens/industrialbenchmark. ...
arXiv:1701.07274v6
fatcat:x2es3yf3crhqblbbskhxelxf2q
Deep Reinforcement Learning
[article]
2018
arXiv
pre-print
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After that, we discuss RL applications, including games, robotics, natural language processing (NLP), computer vision, finance, business management, healthcare, education, energy, transportation, computer ...
Lanctot et al. (2017) observe that independent RL, in which each agent learns by interacting with the environment, oblivious to other agents, can overfit the learned policies to other agents' policies ...
The authors present an implementation with centralized training for decentralized execution, as discussed below. The authors experiment with grid world coordination, a partially observable game, ...
arXiv:1810.06339v1
fatcat:kp7atz5pdbeqta352e6b3nmuhy
Creativity in Motion: Examining the Creative Potential System and Enriched Movement Activities as a Way to Ignite It
2021
Frontiers in Psychology
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To address this limitation, the first goal of this paper is to review the creativity science literature to identify the elements that underpin the realization of an individual's creative potential. ...
The summary of the literature is presented using a framework which highlights the interactions between environmental elements (i.e., cultural values, social interactions, and material world) and actors ...
The authors also want to thank Makenzie Thomas for her help in the design of the Figures. ...
doi:10.3389/fpsyg.2021.690710
pmid:34659006
pmcid:PMC8514639
fatcat:nltotzdobjflrhftkongokrprq
Explainable AI: A Review of Machine Learning Interpretability Methods
2020
Entropy
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, ultimately, the way that they come to decisions. ...
As a result, scientific interest in the field of Explainable Artificial Intelligence (XAI), a field that is concerned with the development of new methods that explain and interpret machine learning models ...
and robust than the existing methods. ...
doi:10.3390/e23010018
pmid:33375658
pmcid:PMC7824368
fatcat:gv42gcovm5cxzl2kmdsluiegdi
Deep Learning in Mobile and Wireless Networking: A Survey
[article]
2019
arXiv
pre-print
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In this paper we bridge the gap between deep learning and mobile and wireless networking research, by presenting a comprehensive survey of the crossovers between the two areas. ...
The rapid uptake of mobile devices and the rising popularity of mobile applications and services pose unprecedented demands on mobile and wireless networking infrastructure. ...
However, at the moment, the centralized approach dominates the WSN data analysis landscape. ...
arXiv:1803.04311v3
fatcat:awuvyviarvbr5kd5ilqndpfsde
Deep Learning in Mobile and Wireless Networking: A Survey
2019
IEEE Communications Surveys and Tutorials
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In this paper we bridge the gap between deep learning and mobile and wireless networking research, by presenting a comprehensive survey of the crossovers between the two areas. ...
The rapid uptake of mobile devices and the rising popularity of mobile applications and services pose unprecedented demands on mobile and wireless networking infrastructure. ...
However, at the moment, the centralized approach dominates the WSN data analysis landscape. ...
doi:10.1109/comst.2019.2904897
fatcat:xmmrndjbsfdetpa5ef5e3v4xda
Opportunities and Challenges of Automatic Speech Recognition Systems for Low-Resource Language Speakers
2022
CHI Conference on Human Factors in Computing Systems
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Yiza nemifuno xa ubuya Transcription: isiXhosa Figure 1: Artist's representation of the Automatic Speech Recognition systems we developed and feld-tested in partnership with two communities in South Africa ...
ACKNOWLEDGMENTS We would like to thank Minah and Manik as well as the workshop participants in Langa & Dharavi for their contribution to this work. ...
We had initially hoped that the Langa workshops would provide a rich 'in-context' data-set that we could utilise as a robust test data-set to evaluate against. ...
doi:10.1145/3491102.3517639
fatcat:2fz45jcstfadrblp3mi3aczcmi
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