منابع مشابه
DISTILL: Learning Domain-Specific Planners by Example
An interesting alternative to domain-independent planning is to provide example plans to demonstrate how to solve problems in a particular domain and to use that information to learn domainspecific planners. Others have used example plans for case-based planning, but the retrieval and adaptation mechanisms for the inevitably large case libraries raise efficiency issues of concern. In this paper...
متن کاملDISTILL: Towards Learning Domain-Specific Planners by Example
Domain-independent general-purpose planning has focused on reducing the search involved in an existing generalpurpose planning algorithm. An interesting alternative is to use example plans to demonstrate how to solve problems in a particular domain and to use that information to solve new problems independently of a domain-independent planner. Others have used example plans for case-based plann...
متن کاملLike What You Like: Knowledge Distill via Neuron Selectivity Transfer
Despite deep neural networks have demonstrated extraordinary power in various applications, their superior performances are at expenses of high storage and computational cost. Consequently, the acceleration and compression of neural networks have attracted much attention recently. Knowledge Transfer (KT), which aims at training a smaller student network by transferring knowledge from a larger t...
متن کاملBiometrics on visual preferences: A "pump and distill" regression approach
IEEE International Conference on Image Processing ICIP 2014 [email protected] References [1] A.K. Jain, P. Flynn, and A.A. Ross, Handbook of Biometrics,Springer, 2008. [2] P. Lovato, A. Perina, N. Sebe, O. Zandonà, A. Montagnini, M. Bicego, M. Cristani: "Tell Me What You Like and I'll Tell You What You Are: Discriminating Visual Preferences on Flickr Data", ACCV 2012, pp. 45-56 [3] Leo ...
متن کاملLearning to Distill: The Essence Vector Modeling Framework
In the context of natural language processing, representation learning has emerged as a newly active research subject because of its excellent performance in many applications. Learning representations of words is a pioneering study in this school of research. However, paragraph (or sentence and document) embedding learning is more suitable/reasonable for some tasks, such as sentiment classific...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: ACM Transactions on Embedded Computing Systems
سال: 2019
ISSN: 1539-9087,1558-3465
DOI: 10.1145/3360512