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Why are Adaptive Methods Good for Attention Models?
[article]
2020
arXiv
pre-print
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The settings under which SGD performs poorly in comparison to adaptive methods are not well understood yet. ...
We provide the first tight upper and lower convergence bounds for adaptive gradient methods under heavy-tailed noise. ...
training attention models. ...
arXiv:1912.03194v2
fatcat:eyzh4eiswbhybjahjbvktu47he
WHY NOT MODEL PHYSIOLOGICALLY ?
1993
British Journal of Anaesthesia
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As may occur with mathematically based kinetic modelling when inappropriate weighting techniques, poor sampling regimens or incorrect "fitting" methods are used, so physiological modelling is liable to ...
However, the modelling is only as good as the data on which it is based. ...
doi:10.1093/bja/70.3.243
pmid:8471363
fatcat:oun3kz3jnfdc5iwlqtqv7jnwke
An evolutionary model of premenstrual syndrome
2008
Medical Hypotheses
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cycle for some women. ...
PMS is not evolutionarily adaptive in and of itself. ...
Funding for this work was provided by an Andrew W. ...
doi:10.1016/j.mehy.2007.08.031
pmid:18053655
fatcat:hajgceo6t5depfj4ziibcjsaoi
Open-Domain Dialogue Generation Based on Pre-trained Language Models
[article]
2020
arXiv
pre-print
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We then propose two correction methods to reduce the discrepancies, and both improve the model performance. ...
Pre-trained language models have been successfully used in response generation for open-domain dialogue. ...
The choice of a pre-trained language model and the way to adapt it are still an art. ...
arXiv:2010.12780v1
fatcat:66lxzni7zjctrpl35mcfd3vdyy
Visualizing and Explaining Language Models
[article]
2022
arXiv
pre-print
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Due to their black-box nature, such models are difficult to interpret and explain to third parties. ...
the underlying models. ...
This dynamic nature of the explainability is rarely explained, but it is one of the reason why visualizations in particular are a good fit for creating explanations in the first place. ...
arXiv:2205.10238v1
fatcat:z5vtlhx62fe25mmdxytpi3k2o4
Symbolic Models and Emergent Models: A Review
2012
IEEE Transactions on Autonomous Mental Development
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There exists a large conceptual gap between symbolic models and emergent models for the mind. ...
A fundamental challenge for emergent models is abstraction, which symbolic models enjoy through human handcrafting. The term abstract refers to properties disassociated with any particular form. ...
Adapted from Horn & Schunck [59]. 3-D shape of the object being modeled are of primary interest. ...
doi:10.1109/tamd.2011.2159113
fatcat:op2i6qg2frc6fcflzg7g5lv4uy
User-centric Integration of Contexts for A Unified Context-aware Application Model
2005
Internaltional Workshop on Personalized Context Modeling and Management for UbiComp Applications
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In this paper, we propose a unified method of user-centric integration of contexts for context-aware applications. ...
However, the existing research activities don't consider much how contexts are integrated in a unified way. ...
ACKNOWLEDGMENT We'd like to thank to Dahee Kim (Virtual Simulator Design) and Wonwoo Lee (Technical support for MRWindow). ...
dblp:conf/ubipcmm/OhLW05
fatcat:53ltowb3tjhg5aps2fyww7u3da
Beware the Rationalization Trap! When Language Model Explainability Diverges from our Mental Models of Language
[article]
2022
arXiv
pre-print
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We further emphasize the need for human-centered design to explain the model from multiple perspectives, progressively adapting explanations to changing user expectations. ...
We introduce a decision tree model to showcase potential reasons why current explanations fail to reach their objectives. ...
It is assumed that users can easily understand why models make their decisions or when models pay attention to the wrong words [Fleisher, 2021] by examining the most salient part(s) in the text. ...
arXiv:2207.06897v1
fatcat:g6ezni2d3ncwhjnfpp764c2dqi
Reasoning Through Models
[chapter]
2022
Frontiers in Artificial Intelligence and Applications
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They are universal instruments. Reasoning through and by models is, however, different from those that we use in 'exact' sciences and is far less understood. ...
Models are used everywhere, in daily life, sciences, engineering, and thoughts. They represent, support, and enable our thinking, acting, reflecting, communication, and understanding. ...
, context-enhancement, assumptionslicing with attention restriction, why-it-must-be, why-this-question-and-notother, why-not-rephrasing, observation-in-context dependencies, immersioninto-context, why-finish ...
doi:10.3233/faia210479
fatcat:vkdei3p36vcmjpzn6ynr6hs6eq
Building an Automated Modeling System to Explore a Universe of Spatial Interaction Models
2010
Geographical Analysis
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A number of automatic methods for identifying “good” models exist, for instance, step-wise regression and the automatic inter- action detector. ...
model-building methods. ...
doi:10.1111/j.1538-4632.1988.tb00161.x
fatcat:4ljlyayjjvb5jjs3nmdtlxm7zu
The ground state of the two-dimensional Hubbard model
2000
Physica. B, Condensed matter
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1999 pre-print arXiv:cond-mat/9909074v1 fatcat:u32fcjgsjzc7zis4xruesoyqce
We have studied the ground state of the two-dimensional Hubbard model by using the adaptive sampling quantum monte carlo method. ...
mixed estimator method for measurements and its variants which are indispensable to the CP method. ...
This should be one of the main reasons why our ASQMC method gives more accurate results than the CP method. ...
doi:10.1016/s0921-4526(99)00875-3
fatcat:boxycfhtanbdtgwjnuiqqj7s2a
Models for Understanding
1989
Review of Educational Research
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One promising instructional technique for improving students' understanding of scientific explanations is the use of conceptual models. ...
What can be done to empower students to be creative when they are faced with problems? ...
Good models are presented at a level of detail that is appropriate for the learner. ...
doi:10.3102/00346543059001043
fatcat:lwwcpzp2nzf4lm2b46du5tyyqi
Models for Understanding
1989
Review of Educational Research
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One promising instructional technique for improving students' understanding of scientific explanations is the use of conceptual models. ...
What can be done to empower students to be creative when they are faced with problems? ...
Good models are presented at a level of detail that is appropriate for the learner. ...
doi:10.2307/1170446
fatcat:5xnawo3borczhcmhy3op3jqpfu
Identifying models of environmental systems' behaviour
1982
Mathematical Modelling
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This paper addresses the question of how theories are developed about the behaviour of large, complex systems such as those typically encountered in managing environmental quality. ...
The specific problem considered is that of model structure identification by reference to experimental, in situ field data. ...
Department of the Environment for permission to use the field data from the Bedford Ouse Study. ...
doi:10.1016/0270-0255(82)90043-4
fatcat:pfe2u4lngjbwjmejsxhxhi5gxm
Improved Attention Models for Memory Augmented Neural Network Adaptive Controllers
[article]
2020
arXiv
pre-print
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In the above work, we used a soft-attention mechanism for the adaptive controller. ...
Controllers that use soft attention or hard attention mechanisms are limited either because they can forget the information or fail to shift attention when the information they are reading becomes less ...
The natural question to ask is what is a good attention mechanism for such an application? ...
arXiv:1910.01189v7
fatcat:6xjsmsxbbjfgbmygkebccozu6y
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