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Interpretable Learning for Self-Driving Cars by Visualizing Causal Attention
[article]
2017
arXiv
pre-print
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We first show that training with attention does not degrade the performance of the end-to-end network. ...
In the first stage, we use a visual attention model to train a convolution network end-to-end from images to steering angle. ...
Our model shows 1. 18-4.15 in terms of MAE on testing dataset. This confirms that incorporation of attention does not degrade control accuracy. ...
arXiv:1703.10631v1
fatcat:c36w7lssivhxlpvpwkcarq54fm
Modeling Abnormal Priming in Alzheimer's Patients with a Free Association Network
2011
PLoS ONE
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Then we turn to priming in degraded cognition: hyperpriming can be readily understood in the scope of a progressive degradation of the semantic network structure. ...
Here, we first show that network modeling is an appropriate approach to account for semantic priming in normal subjects. ...
Semantic Network Degradation We next turn our attention to model the effects of Alzheimer's disease in cognitive processes by considering that the structural deterioration inherent to the disease affects ...
doi:10.1371/journal.pone.0022651
pmid:21829639
pmcid:PMC3148236
fatcat:q7v55vuxnbe5zfx5ufuxescc6u
Analysis and mitigation of NBTI-induced performance degradation for power-gated circuits
2011
IEEE/ACM International Symposium on Low Power Electronics and Design
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Device aging, which causes significant loss on circuit performance and lifetime, has been a main factor in reliability degradation of nanoscale designs. ...
In this paper, for power-gated circuits, we present a novel methodology for analyzing and mitigating NBTI-induced performance degradation. ...
The detailed explanation of each parameter can be found in [6] . ...
doi:10.1109/islped.2011.5993626
fatcat:5nedumge75bs7mhwvwqsav7z44
Textual Explanations for Self-Driving Vehicles
[chapter]
2018
Lecture Notes in Computer Science
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The attention maps of controller and explanation model are aligned so that explanations are grounded in the parts of the scene that mattered to the controller. ...
Second, we use an attention-based video-to-text model to produce textual explanations of model actions. ...
We observe that sparser attention maps improves the performance of generating textual explanations, while control performance is slightly degraded. course, and is trained end-to-end from scratch. ...
doi:10.1007/978-3-030-01216-8_35
fatcat:lsao4sre6vewvhuhsqgpazw6de
Textual Explanations for Self-Driving Vehicles
[article]
2018
arXiv
pre-print
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The attention maps of controller and explanation model are aligned so that explanations are grounded in the parts of the scene that mattered to the controller. ...
Second, we use an attention-based video-to-text model to produce textual explanations of model actions. ...
We observe that sparser attention maps improves the performance of generating textual explanations, while control performance is slightly degraded. course, and is trained end-to-end from scratch. ...
arXiv:1807.11546v1
fatcat:b5jh6llnhbha5lioxivyqh4lje
Dynamic mechanistic explanation: computational modeling of circadian rhythms as an exemplar for cognitive science
2010
Studies in History and Philosophy of Science Part A
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Models in these two fields differ in the extent of their empirical grounding, but they share the goal of achieving dynamic mechanistic explanation. ...
That is, they augment a proposed mechanistic explanation with a computational model that enables exploration of the mechanism's dynamics. ...
These strategies for developing dynamic mechanistic explanations are evident in the modeling of circadian mechanisms to which we now turn. ...
doi:10.1016/j.shpsa.2010.07.003
pmid:21466124
fatcat:ep23ejlabjgujeofock4ejwxnu
Driving Behavior Explanation with Multi-level Fusion
[article]
2020
arXiv
pre-print
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We present BEEF, for BEhavior Explanation with Fusion, a deep architecture which explains the behavior of a trajectory prediction model. ...
In this work, we focus on generating high-level driving explanations as the vehicle drives. ...
Interestingly, BLOCK is the only fusion model that does not degrade the driving performance, while unstructured bilinear models heavily degrade the driving capacity. ...
arXiv:2012.04983v1
fatcat:d47h46kdqbhizc3mgw5jha66fu
How Good is your Explanation? Algorithmic Stability Measures to Assess the Quality of Explanations for Deep Neural Networks
[article]
2021
arXiv
pre-print
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Here, we propose two new measures to evaluate explanations borrowed from the field of algorithmic stability: mean generalizability MeGe and relative consistency ReCo. ...
A plethora of methods have been proposed to explain how deep neural networks reach their decisions but comparatively, little effort has been made to ensure that the explanations produced by these methods ...
The computing hardware was supported in part by NIH Office of the Director grant S10OD025181. ...
arXiv:2009.04521v3
fatcat:5sugnvzovve2zpmixyye556xom
Page 313 of Journal of Cognitive Neuroscience Vol. 11, Issue 3
[page]
1999
Journal of Cognitive Neuroscience
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Damaging the visual feature units degraded the network’s performance on natural kind items, whereas damaging the functional feature units degraded the net- work’s performance on artifact items. ...
They would show a more linear pattern of degradation. ...
Non-sample based parameters design for system performance reliability improvement
2009
Journal of Mechanical Science and Technology
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As design methods for quality over time (performance reliability), which minimizes effects of unavoidable component degradations as well as component variations on system performance change, system model-based ...
Design methods for quality generally help to improve quality over time, but do not consider change of system performance over time, resulting from degradation in components. ...
Then, the unified degradation model of any impedance versus time is written as Voltages of the power supply (E 0 ) and Zener diode (E z ) do not degrade in this example, so their degradation models are ...
doi:10.1007/s12206-009-0719-3
fatcat:eri2zeellfdwtd6oz5jrslvf64
Page 138 of None Vol. 50, Issue 4
[page]
2004
None
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The urea pool is large and turns over with a half-life of 8-10 h (16, 19, 37). ...
An explanation for the dis- crepancy between the leucine and urea data is that leucine metabolism during exercise is not representative of the fate of the other amino acids that are present in proteins ...
Pixel-Level Face Image Quality Assessment for Explainable Face Recognition
[article]
2021
arXiv
pre-print
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2021 pre-print arXiv:2110.11001v2 fatcat:qsmqlhd2vfdefmlbdqdt2i77imOther Versions
An essential factor to achieve high performance in face recognition systems is the quality of its samples. ...
In the experiments, we qualitatively and quantitatively investigated the meaningfulness of our proposed pixel-level qualities based on real and artificial disturbances and by comparing the explanation ...
The impact of these variabilities on the FR performance is measured in terms of face image quality (FIQ). ...
arXiv:2110.11001v3
fatcat:jrs2ci6ce5cgrcf4k25hbzvvwq
Missingness Bias in Model Debugging
[article]
2022
arXiv
pre-print
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model debugging in practice. ...
Missingness, or the absence of features from an input, is a concept fundamental to many model debugging tools. However, in computer vision, pixels cannot simply be removed from an image. ...
ACKNOWLEDGEMENTS Work supported in part by the NSF grants CCF-1553428 and CNS-1815221. ...
arXiv:2204.08945v1
fatcat:76adblilzng2plvo6ochyuzmvy
Gout, tophi and the wonders of NETs
2014
Arthritis Research & Therapy
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An important set of experiments in the study by Schauer and colleagues used murine models of gouty inflammation in vivo. ...
These insights in turn lead to a reconceptualization of the NETfrom Wild West desperado into the sheriff bringing law and order. ...
doi:10.1186/s13075-014-0431-2
pmid:25606589
pmcid:PMC4149263
fatcat:jnyqabaosvfzbfn2lg2z2ten6m
Investigating Fatigue in Marine Accident Investigations
2015
Procedia Manufacturing
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Research has shownthat people need about 8 hours of sleep a day, and receiving less than thatcan lead to fatigue-degraded performance. ...
This paper proposes a systematic method to determine whether fatigue adversely affected mariner performance in an accident. ...
The sequence of collisions began shortly thereafter. The pilot's errors of being late in recognizing the need for and in ordering the turn are consistent with degraded cognitive performance. ...
doi:10.1016/j.promfg.2015.07.859
fatcat:duj3jagobjaixamznupsuvc26e
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