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Dynamic Instance Domain Adaptation
[article]
2022
arXiv
pre-print
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Feature alignment across domains is thus redundant. Instead, we propose to perform dynamic instance domain adaptation (DIDA). ...
Concretely, a dynamic neural network with adaptive convolutional kernels is developed to generate instance-adaptive residuals to adapt domain-agnostic deep features to each individual instance. ...
Instead, we propose to perform dynamic instance domain adaptation (DIDA). ...
arXiv:2203.05028v2
fatcat:oollro63b5ho5kp3uqtguevlym
An intelligent connector based framework for dynamic architecture
2005
The Fifth International Conference on Computer and Information Technology (CIT'05)
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Ontology is introduced to provide the common base for communication and auto-adaptation. The domain ontology also provides a knowledge base for event inference and service assembling. ...
An intelligent connector based framework for dynamic architecture is proposed, in which the global agent and connector agents can perform auto-adaptation on the system-level and component-level respectively ...
Adaptable systems provide open ability of dynamic reconfiguration for external actors. ...
doi:10.1109/cit.2005.73
dblp:conf/IEEEcit/PengZZW05
fatcat:3tai5zz3fvb6llynb7bvylowlu
Instance Weighting for Neural Machine Translation Domain Adaptation
2017
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing
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In this paper, two instance weighting technologies, i.e., sentence weighting and domain weighting with a dynamic weight learning strategy, are proposed for NMT domain adaptation. ...
Instance weighting has been widely applied to phrase-based machine translation domain adaptation. ...
Conclusion and Future Work In this paper, we proposed two straightforward instance weighting methods with a dynamic weight learning strategy for NMT domain adaptation. ...
doi:10.18653/v1/d17-1155
dblp:conf/emnlp/WangULCS17
fatcat:kkhaw4b6w5chnfmiuutc6sejba
Dynamic Domain Generalization
[article]
2022
arXiv
pre-print
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To tackle this problem, we develop a brand-new DG variant, namely Dynamic Domain Generalization (DDG), in which the model learns to twist the network parameters to adapt the data from different domains ...
To enable this process, DomainMix is exploited to simulate data from diverse domains during teaching the meta-adjuster to adapt to the upcoming agnostic target domains. ...
DDG mainly focuses on learning to twist the network parameters to adapt the instances from diverse novel domains. In this paper, each instance is assumed to be an independent latent domain. ...
arXiv:2205.13913v1
fatcat:k75uecf2ivh5plzmirpfhauij4
OWPA: An Ontology-Based Approach to Adaptable Workflow Participant Assignment
2010
IEICE transactions on information and systems
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Moreover, OWPA is bound to the workflow modeling tool and the workflow monitor respectively to adapt to dynamic workflow modification in workflow definitions and workflow instances. ...
OWPA introduces domain ontology to organize the enterprise data and uses a welldefined OWPA rule to express an authorization constraint. ...
They, however, are not adaptable to dynamic workflow modification, especially workflow instance modification. ...
doi:10.1587/transinf.e93.d.1572
fatcat:mvjlntm6bjgpthj2a47bwoewau
Dynamic adaptation of service-based applications: a design for adaptation approach
2020
Journal of Internet Services and Applications
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The proposed approach has been implemented and evaluated in a real-world case study in the mobility domain. ...
of new services that can easily join the application, and (ii) the operation of applications under dynamic circumstances, to face the openness and dynamicity of the environment. ...
Journal of Internet Services
Definition 11 ( 11 Adaptive System Instance) An adaptive system instance AS I of an adaptive system AS = {o 1 , . . . , o n } is a set of domain object instances AS I = { ...
doi:10.1186/s13174-020-00123-6
fatcat:zbo6saksaffvfdz7nlt4e2ssee
An Approach to Dynamically Reconfiguring Service-Oriented Applications from a Business Perspective
[chapter]
2004
Lecture Notes in Computer Science
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service-oriented application instances, which can realize the dynamic reconfiguration of service-oriented applications in a straightforward way to timely adapt to business requirement changes. ...
to respectively express changes in the business domain and the software domain. ...
Principle of CAFISE adapt Approach The convergence concept is firstly presented by David Taylor at 1995 to bridge the gap between the business domain and the software domain, expecting to construct software ...
doi:10.1007/978-3-540-30483-8_43
fatcat:gshul24tlzf2voetxhxysi3kwy
Metadata and Adaptive Object-Models
[chapter]
2000
Lecture Notes in Computer Science
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A way to meet such requirements is to use an Adaptive Object-Model (AOM). This paper describes common architectures for adaptive object-models and summarizes the results from our ECOOP 2000 workshop. ...
Participants to this workshop focused on comparisons between the Adaptive Object-Model's approach and those of Reflection and Metamodeling. ...
An instance of that specification An instance of that specification A domain-specific language A domain-specific language A system specification A system specification Type Cube (Fig. 1 ) is an example ...
doi:10.1007/3-540-44555-2_9
fatcat:sbulerdfefadrmp5vrn74uqx2m
Adaptive faceted browser for navigation in open information spaces
2007
Proceedings of the 16th international conference on World Wide Web - WWW '07
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We propose a method of navigation in open information spaces based on an enhanced faceted browser with support for dynamic facet generation and adaptation based on user characteristics. ...
ADAPTIVE FACETED NAVIGATION We propose the enhancement of (adaptive) faceted browsers with support for dynamic facet generation based on data stored in the domain and user ontologies. ...
Dynamic facet generation During facet generation we examine the attributes of the desired instances within the information space as defined by the respective domain ontology. ...
doi:10.1145/1242572.1242825
dblp:conf/www/TvarozekB07
fatcat:gdppmq32kney7mx74ai6qadshm
Domain Adaptive Person Search
[article]
2022
arXiv
pre-print
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In this paper, we take a further step and present Domain Adaptive Person Search (DAPS), which aims to generalize the model from a labeled source domain to the unlabeled target domain. ...
To address these challenges, we propose a strong baseline framework with two dedicated designs. 1) We design a domain alignment module including image-level and task-sensitive instance-level alignments ...
Domain Adaptation for Person ReID Unsupervised domain adaptation (UDA) ReID [7, 10, 28, 15, 17, 32, 42] typically trains a model with labelled source domain and transfers to the target domain under the ...
arXiv:2207.11898v1
fatcat:pl4qnodjfbcfrgedypsj7g2g6e
Multi-Domain Neural Machine Translation through Unsupervised Adaptation
2017
Proceedings of the Second Conference on Machine Translation
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instances and each test sentence, dynamically sets the hyperparameters of the learning algorithm and updates the generic model on-the-fly. ...
To tackle the weaknesses of current NMT technology in this unsupervised multi-domain setting, we explore an efficient instance-based adaptation method that, by exploiting the similarity between the training ...
Adaptive Dynamic-Lrate). ...
doi:10.18653/v1/w17-4713
dblp:conf/wmt/FarajianTNF17
fatcat:dhx34uld7zhidf4zw77nguisse
Learning Heuristic Selection with Dynamic Algorithm Configuration
[article]
2021
arXiv
pre-print
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To learn dynamic heuristic selection, we propose an approach based on reinforcement learning and show empirically that domain-wise learned policies, which take the internal search dynamics of a planning ...
Since the performance of a heuristic varies from instance to instance, approaches such as algorithm selection can be successfully applied. ...
A possible explanation is that a dynamic policy is the key to solving difficult instances in this domain. ...
arXiv:2006.08246v3
fatcat:3hlnm2crwzckpgnqecjhzdgh6i
Enhancing Accuracy of Hybrid Recommender Systems through Adapting the Domain Trends
2010
ACM Conference on Recommender Systems
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In this paper, we propose an adaptive method for hybrid recommender systems, in which the combination of algorithms are learned and dynamically updated from the results of previous predictions. ...
, and adapt the combination of content-based and collaborative algorithms to have better results. ...
Fixed strategy may be suboptimal for dynamic domains&user behaviors. Moreover they are unable to adapt to domain drifts. ...
dblp:conf/recsys/AkselB10
fatcat:sekiny7jsrczphnqxbgejzfq3a
Personalized Navigation in the Semantic Web
[chapter]
2006
Lecture Notes in Computer Science
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The proposed approach takes advantage of adaptive hypermedia in an enhanced faceted browser capable of dynamically adapting the set of available facets with additional support for data retrieval from an ...
ontology and adaptive annotation of search results. ...
The most interesting are the facets, their dynamic generation from a domain ontology and their adaptation based on a user model. ...
doi:10.1007/11768012_71
fatcat:hvauepa3m5hxja3d2rnfdy54ci
Combining Adaptive Hypermedia Techniques and Ontology Reasoning to Produce Dynamic Personalized News Services
[chapter]
2006
Lecture Notes in Computer Science
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Applying traditional Adaptive Hypermedia techniques to the personalization of news can pose a number of problems. ...
The first main difficulty is the fact that news is inherently dynamic, thus producing an ever shifting pool from which content can be sourced. ...
What has changed, and is the main source of dynamism in this news domain, are the instances (and possibly number of instances). For example, the driver line ups of teams change year on year. ...
doi:10.1007/11768012_10
fatcat:ppjakmhgwvggven3jvtykszkbu
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