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Concept Bottleneck Models
[article]
2020
arXiv
pre-print
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On x-ray grading and bird identification, concept bottleneck models achieve competitive accuracy with standard end-to-end models, while enabling interpretation in terms of high-level clinical concepts ...
By construction, we can intervene on these concept bottleneck models by editing their predicted concept values and propagating these changes to the final prediction. ...
Theoretically analyzing concept bottlenecks. In OAI, we found that concept bottleneck models outperform standard models on task accuracy. ...
arXiv:2007.04612v3
fatcat:jd5hh7sp2vbg5dgsmao4z3qt3a
Concept Bottleneck Model with Additional Unsupervised Concepts
[article]
2022
arXiv
pre-print
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We refer to the proposed model as the concept bottleneck model with additional unsupervised concepts (CBM-AUC). We experimentally confirmed that the proposed model outperformed CBM and SENN. ...
However, most methods utilize post-hoc approaches rather than training the interpretable model. In this article, we propose a novel interpretable model based on the concept bottleneck model (CBM). ...
One interpretable model is called the concept bottleneck model (CBM) [2]. ...
arXiv:2202.01459v1
fatcat:lrx7ps3nhrhxljypvzz3fkliuq
Concept Bottleneck Model With Additional Unsupervised Concepts
2022
IEEE Access
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We refer to the proposed model as the concept bottleneck model with additional unsupervised concepts (CBM-AUC). We experimentally confirmed that the proposed model outperformed CBM and SENN. ...
INDEX TERMS Explainability, interpretability, concept bottleneck model, self-explaining neural network. ...
One interpretable model is called the concept bottleneck model (CBM) [2] . ...
doi:10.1109/access.2022.3167702
fatcat:sfpahk5nwvewfemvbpm5v3po44
Do Concept Bottleneck Models Learn as Intended?
[article]
2021
arXiv
pre-print
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Concept bottleneck models map from raw inputs to concepts, and then from concepts to targets. ...
However, we find that concept bottleneck models struggle to meet these goals. ...
The saliency maps of Concept Bottleneck Models consistently focus on areas outside the concept of interest. Figure 5: Independent model "bill shape" concept. ...
arXiv:2105.04289v1
fatcat:elhnhx3gurelxajivnokjjceve
Debiasing Concept-based Explanations with Causal Analysis
[article]
2021
arXiv
pre-print
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2021 pre-print arXiv:2007.11500v3 fatcat:celmi3e3sfbidlli3sjp5fmp54Other Versions
We also model the completeness of the concepts set and show that our debiasing method works when the concepts are not complete. ...
Concept-based explanation approach is a popular model interpertability tool because it expresses the reasons for a model's predictions in terms of concepts that are meaningful for the domain experts. ...
We predict d as a function of y and use it in place of the concepts in the concept bottleneck models. ...
arXiv:2007.11500v4
fatcat:nwn25nigqrg37ftmzhsovecqqm
Explainable Neural Network-based Modulation Classification via Concept Bottleneck Models
[article]
2021
arXiv
pre-print
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This work investigates the use of CB models as a means to provide inherent decision explanations in the context of DL-based AMC. ...
While RFML is expected to be a key enabler of future wireless standards, a significant challenge to the widespread adoption of RFML techniques is the lack of explainability in deep learning models. ...
CONCEPT BOTTLENECK MODELS Concept Bottleneck (CB) models first predict a number of concepts, provided during training, then use these predicted concepts to predict the target label. ...
arXiv:2101.01239v1
fatcat:yy6suf4aq5bwfelhfhdpy3fc3i
Promises and Pitfalls of Black-Box Concept Learning Models
[article]
2021
arXiv
pre-print
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Machine learning models that incorporate concept learning as an intermediate step in their decision making process can match the performance of black-box predictive models while retaining the ability to ...
However, we demonstrate that the concept representations learned by these models encode information beyond the pre-defined concepts, and that natural mitigation strategies do not fully work, rendering ...
This has significant consequences for decision-making based on interpretations of Concept Bottleneck Models. ...
arXiv:2106.13314v1
fatcat:zby6rcz6sfeb7dw5rsn72m46z4
Smart Manufacturing through TOC based Efficiency Monitoring System (TBEMS)
2018
International Journal of Engineering & Technology
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In a manufacturing environment, thus, there had been a number of techniques and concepts adapted to improvise the effectiveness thereby profits continuously. ...
This paper deals with a novel idea of implementing TOC concept blended with Internet of Things (IoT), thereby, the speed of implementation could be augmented for early results. ...
In a production planning environment, TOC seeks to identify and manage the bottleneck operations, which is popularly termed as DBR (Drum Buffer Rope) concept. ...
doi:10.14419/ijet.v7i4.10.20820
fatcat:lnk2wvjvw5hffpusiv3tolrb5q
Proposed Data-Driven Performance Measures for Comparing and Ranking Traffic Bottlenecks
2016
Transportation Research Procedia
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It will present concepts and evidence to imply superiority of the proposed new measures. ...
There has been a movement towards "reliability" modeling, which attempts to capture these annual effects. ...
Figure 1 : 1 HCM Reliability Modeling Concepts (Transportation Research Board, 2010)
Figure 2 : 2 Illustrations of ARM and STM Concepts
Figure 3 : 3 Example ARM Based on Vehicle-Hours of Delay, as ...
doi:10.1016/j.trpro.2016.06.041
fatcat:6d4zbtpmezavnf4ecnuqcjngye
Concept Embedding Analysis: A Review
[article]
2022
arXiv
pre-print
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For the computer vision domain in specific, practical assessment of DNNs requires a globally valid association of human interpretable concepts with internals of the model. ...
The research field of concept (embedding) analysis (CA) tackles this problem: CA aims to find global, assessable associations of humanly interpretable semantic concepts (e.g., eye, bearded) with internal ...
Concept bottleneck models General concept enforcement will ensure a set of interpretable outputs. ...
arXiv:2203.13909v1
fatcat:tpu2eobm2zeo7evuerphqoj7di
Deep hierarchical bottleneck MRASTA features for LVCSR
2013
2013 IEEE International Conference on Acoustics, Speech and Signal Processing
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The final system based on deep bottleneck TANDEM features clearly outperforms the hybrid approach, even if the long-term features are also presented to the deep MLP acoustic model. ...
Furthermore, introducing a deeper structure in the hierarchical bottleneck processing the relative gain increases to 25%. ...
As [9] has shown, the combination of the bottleneck and hierarchical concept resulted in better performance. ...
doi:10.1109/icassp.2013.6639013
dblp:conf/icassp/TuskeSN13
fatcat:adoujiz3tzheflnoztob7xhfgy
Stochastic or deterministic: what is the effective population size of HIV-1?
2006
Trends in Microbiology
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There are important assumptions underlying the concept of N e that represent potential pitfalls when applying this concept to real data. ...
Differential impact of bottlenecks on neutral and selected diversity Here, we consider an extension of the Wright-Fisher model incorporating selection and bottlenecks. ...
doi:10.1016/j.tim.2006.10.001
pmid:17049239
fatcat:egac5adflzaxxfeus4tl2xxbou
Experiences with backward simulation based approach for lot release planning
1997
Proceedings of the 29th conference on Winter simulation - WSC '97
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Bottleneck based scheduling approach suggests planning the release of lots based on the capacity of the bottleneck machines in the manufacturing process. ...
Many scheduling systems determine the start of the first operation of the lot based on backward scheduling from its operation on the bottleneck machine. ...
A base simulation model was built for modeling the current lot release procedures and executed with the data. ...
doi:10.1145/268437.268622
fatcat:5peim4naa5fdnmhs5mlnqb75vi
Monitoring Bottlenecks in Agile and Lean Software Development Projects – A Method and Its Industrial Use
[chapter]
2011
Lecture Notes in Computer Science
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To achieve the desired high speed of the projects and the optimal capacity, bottlenecks existing in the projects have to be monitored and effectively removed. ...
helping other organizations to start monitoring bottlenecks in an effective way -in particular what to focus on when designing such a measurement system. ...
Their approach was based on building a model of requirements engineering phase and using simulations to identify where bottlenecks appear. We used similar concepts as Höst et al. ...
doi:10.1007/978-3-642-21843-9_3
fatcat:uwgbdamdvvfx3gphjtxrqt3kqm
Librarians and instructors developing student learning outcomes
2014
Reference Services Review
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Practical Implications (if applicable): This study can serve as a model for future collaborations with any department faculty, especially when information literacy learning outcomes need to be articulated ...
Three significant frameworks, including threshold concepts, backward design, and decoding the disciplines, were used to facilitate effective discussion and revise learning outcomes. ...
model, describing "learning bottlenecks" (2004). ...
doi:10.1108/rsr-04-2014-0007
fatcat:sdpfhf7k4fgbnkova6eji75blu
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