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What is Wrong with End-to-End Learning for Phase Retrieval?
[article]
2024
arXiv
pre-print
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We take far-field phase retrieval (FFPR), which is central to many areas of scientific imaging, as an example and show that symmetric breaking can substantially improve data-driven learning. ...
When data-driven deep learning approaches are used to solve such problems, these intrinsic symmetries can cause substantial learning difficulties. ...
Symmetry breaking for phase retrieval A crucial question now is how to derive an effective symmetry-breaking algorithm for FFPR, which has three symmetries. ...
arXiv:2403.15448v1
fatcat:e6m5dc75rzdkvixvr2mv2lrcom
Retrieval-Based Learning
[chapter]
2014
The psychology of learning and motivation
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Retrieval practice involves attempting to reinstate a prior learning context, and when retrieval is successful, the representation of context is updated to include features of retrieved contexts and the ...
Practicing retrieval is a powerful way to promote learning and long-term retention. This chapter addresses the theoretical underpinnings of retrieval-based learning. ...
The subjects then took final tests either immediately (at the end of the session) or 1 week after the learning phase. ...
doi:10.1016/b978-0-12-800283-4.00007-1
fatcat:qnph523gfbfchd6zdpp2qmjwda
Retrieval attempts enhance learning regardless of time spent trying to retrieve
2016
Memory
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Attempting to retrieve information from memory is an engaging cognitive activity. We predicted that people would learn more when they had spent more time attempting to retrieve. ...
Showing the answer for longer (7 versus 2 seconds) increased learning in Experiments 2a and 2b. ...
On the other hand, if your goal is to learn the answer with minimal fuss, it would be more efficient to avoid spending too much time trying to think of the answer and just find out what it is. 1 The ...
doi:10.1080/09658211.2016.1170152
pmid:27078516
fatcat:wvotpjpf35chpgohfzrsohowq4
Generative Question Refinement with Deep Reinforcement Learning in Retrieval-based QA System
[article]
2019
arXiv
pre-print
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The basic idea is to learn a Seq2Seq model to generate a new question from the original one. ...
the model with deep reinforcement learning techniques that considers an appropriate wording of the generation as an immediate reward and the correlation between generated question and answer as time-delayed ...
ACKNOWLEDGEMENTS This work is supported in part by NSF under grants III-1526499, III-1763325, III-1909323, SaTC-1930941, and CNS-1626432. ...
arXiv:1908.05604v3
fatcat:2sh5rplrgzhtppav3ldtz4pa4a
Explainable Information Retrieval: A Survey
[article]
2022
arXiv
pre-print
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Explainable information retrieval is an emerging research area aiming to make transparent and trustworthy information retrieval systems. ...
Given the increasing use of complex machine learning models in search systems, explainability is essential in building and auditing responsible information retrieval models. ...
The first work to propose end-to-end methods for ranking tasks is [70] . ...
arXiv:2211.02405v1
fatcat:tjb74brixnfyllkb6uaicihf24
Unsuccessful retrieval attempts enhance subsequent learning
2009
Journal of Experimental Psychology. Learning, Memory and Cognition
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., "What peace treaty ended the Calumet War?"). ...
Unsuccessful retrieval attempts enhanced learning with both types of materials. ...
There is extensive evidence that successful retrieval is a "memory modifier" (Bjork, 1975) . What, though, is the effect of an unsuccessful retrieval attempt? ...
doi:10.1037/a0015729
pmid:19586265
fatcat:z62n5v3gd5ak7phfxdo4svplfm
Generative Multi-hop Retrieval
[article]
2022
arXiv
pre-print
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A common practice for text retrieval is to use an encoder to map the documents and the query to a common vector space and perform a nearest neighbor search (NNS); multi-hop retrieval also often adopts ...
the same paradigm, usually with a modification of iteratively reformulating the query vector so that it can retrieve different documents at each hop. ...
Acknowledgements We would like to thank Eunbi Choi, Joel ...
arXiv:2204.13596v3
fatcat:yse32gjxj5cynm7ozeiotbqpea
The Critical Importance of Retrieval for Learning
2008
Science
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Learning is often considered complete when a student can produce the correct answer to a question. ...
The results demonstrate the critical role of retrieval practice in consolidating learning and show that even university students seem unaware of this fact. registered trademark of AAAS. is a Science ...
Condition At the end of the learning phase, students in all four conditions were asked to predict how many of the 40 pairs they would recall on a final test in 1 week. ...
doi:10.1126/science.1152408
pmid:18276894
fatcat:2gzboq35x5h2vdxwxec3riy7ti
Information Retrieval Methods
[chapter]
2016
Methods of Architectural Programming (Routledge Revivals)
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First published in 1977, this volume is intended as a sourcebook for designers and attempts to specify the ingredients necessary to develop a design program rather than postulate a model program for which ...
As such it filled a void in the existing literature, which seldom covered programming with much depth, and provides technical aids to guide designers. ...
These techniques for information retrieval are prerequisites for systematic learning and thus for improving the facility for better design. ...
doi:10.4324/9781315541877-10
fatcat:kiu2c7s3yvf2vmfgg44nldinjq
Towards Retrieval-based Conversational Recommendation
[article]
2021
arXiv
pre-print
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The most recent approaches rely on neural models trained on recorded dialogs between humans, implementing an end-to-end learning process. ...
An alternative to such generation-based approaches is to retrieve responses from pre-recorded dialog data and to adapt them if needed. ...
Many current works in the area of CRS adapt an end-to-end learning process, e.g., [4, 5, 6] . ...
arXiv:2109.02311v1
fatcat:jrbmijepfzdlpmoa4rsbzvmowi
Evaluation in Music Information Retrieval
2013
Journal of Intelligent Information Systems
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The community recently acknowledged this problem and showed interest in addressing it, though it is not clear what to do to improve the situation. ...
The field of Music Information Retrieval has always acknowledged the need for rigorous scientific evaluations, and several efforts have set out to develop and provide the infrastructure, technology and ...
Once experiments are finished the Interpretation of results is carried out, which leads to a phase of Learning why the system worked well or bad and under what circumstances. ...
doi:10.1007/s10844-013-0249-4
fatcat:uslx5lxeyrge7b5utjv75yxk3q
Policy-directed certificate retrieval
2000
Software, Practice & Experience
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This takes place automatically, without intervention by the requester; there is no additional burden placed on the requester or the policy writer for the retrieval service we provide. ...
Unlike previous verifiers, QCM can take further action if the policy is not satisfied: QCM can examine the policy to decide what certificates might help satisfy it and obtain them from remote servers on ...
We may add such tags to QCM in future versions, as we learn more about the needs of end applications. ...
doi:10.1002/1097-024x(200012)30:15<1609::aid-spe334>3.0.co;2-5
fatcat:luxpxnxfc5c55cncfvrnf3ptcq
Music Information Retrieval and Contemporary Classical Music: A Successful Failure
2020
Transactions of the International Society for Music Information Retrieval
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This paper is about the story of my relationship, as a contemporary music composer, with computational tools that are situated in the areas of signal processing, machine learning and music information ...
retrieval (MIR). ...
Deep learning made us forget many things that we learned in the past years. The desire of finding end-to-end machines that magically solve all our problems brought us on the wrong path. ...
doi:10.5334/tismir.55
fatcat:rvytyjyozjf4jkeqnad6h5cyye
Extremely Dilute Modular Neuronal Networks: Neocortical Memory Retrieval Dynamics
[article]
2004
arXiv
pre-print
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2001 pre-print arXiv:cond-mat/0107612v1 fatcat:a5w6iewnobd7ffd25dkksofvfuOther Versions
, but not necessarily the correct one for what concerns the retrieval of the pattern corresponding to the cue. ...
The following abbreviations have been introduced: w stays for 'wrong', c stays for 'correct', a ∼ 5% of the pattern to retrieve. ...
In this way, one only has to discriminate the state of any module among correct local retrieval, wrong local retrieval, and quiescence, without having to specify what particular feature belonging to what ...
arXiv:cond-mat/0107612v2
fatcat:wwy7b7bunvg67hbw2mzuzgsihm
Neural Matching Models for Question Retrieval and Next Question Prediction in Conversation
[article]
2017
arXiv
pre-print
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Our evaluations investigate the potential of neural matching models with representation learning for question retrieval and next question prediction in conversations. ...
This task can be modeled as a "sequence matching" problem, where two sequences are given and the aim is to learn a model that maps any pair of sequences to a matching probability. ...
ACKNOWLEDGMENTS is work was supported in part by the Center for Intelligent Information Retrieval, in part by NSF IIS-1160894, and in part by NSF grant #IIS-1419693. ...
arXiv:1707.05409v1
fatcat:szimicqsijh2zb6lkizgi5zbxa
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