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Improved Distribution Matching Distillation for Fast Image Synthesis
Neural Information Processing SystemsRecent approaches have shown promises distilling diffusion models into efficient one-step generators. Among them, Distribution Matching Distillation (DMD) produces one-step generators that match their teacher in distribution, without enforcing a one-to ...
Tianwei Yin +6 more
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Preventive Medicine, 1995
Matching is an intuitively appealing design strategy for ensuring balance on one or more potential confounding variables, usually either among subjects who were exposed or unexposed to a suspected risk factor for disease in a cohort study or between diseased and nondiseased subjects in a case-control study.
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Matching is an intuitively appealing design strategy for ensuring balance on one or more potential confounding variables, usually either among subjects who were exposed or unexposed to a suspected risk factor for disease in a cohort study or between diseased and nondiseased subjects in a case-control study.
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The British Accounting Review, 2005
Abstract This paper analyses the income smoothing effect of the matching principle in accounting. Income smoothing, under Gibbins and Willett [Gibbins, M., Willett, R., 1997. New light on accrual, aggregation and allocation, using an axiomatic analysis of accounting numbers' fundamental and statistical character.
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Abstract This paper analyses the income smoothing effect of the matching principle in accounting. Income smoothing, under Gibbins and Willett [Gibbins, M., Willett, R., 1997. New light on accrual, aggregation and allocation, using an axiomatic analysis of accounting numbers' fundamental and statistical character.
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Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2020
Community Question Answering (CQA) has become a primary means for people to acquire knowledge, where people are free to ask questions or submit answers. To enhance the efficiency of the service, similar question identification becomes a core task in CQA which aims to find a similar question from the archived repository whenever a new question is asked.
Zizhen Wang 0001 +8 more
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Community Question Answering (CQA) has become a primary means for people to acquire knowledge, where people are free to ask questions or submit answers. To enhance the efficiency of the service, similar question identification becomes a core task in CQA which aims to find a similar question from the archived repository whenever a new question is asked.
Zizhen Wang 0001 +8 more
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Neural Information Processing Systems
Despite Flow Matching and diffusion models having emerged as powerful generative paradigms for continuous variables such as images and videos, their application to high-dimensional discrete data, such as language, is still limited.
Itai Gat +7 more
semanticscholar +1 more source
Despite Flow Matching and diffusion models having emerged as powerful generative paradigms for continuous variables such as images and videos, their application to high-dimensional discrete data, such as language, is still limited.
Itai Gat +7 more
semanticscholar +1 more source
arXiv.org
Flow Matching (FM) is a recent framework for generative modeling that has achieved state-of-the-art performance across various domains, including image, video, audio, speech, and biological structures. This guide offers a comprehensive and self-contained
Y. Lipman +9 more
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Flow Matching (FM) is a recent framework for generative modeling that has achieved state-of-the-art performance across various domains, including image, video, audio, speech, and biological structures. This guide offers a comprehensive and self-contained
Y. Lipman +9 more
semanticscholar +1 more source
Stacked Cross Attention for Image-Text Matching
European Conference on Computer Vision, 2018In this paper, we study the problem of image-text matching. Inferring the latent semantic alignment between objects or other salient stuffs (e.g. snow, sky, lawn) and the corresponding words in sentences allows to capture fine-grained interplay between ...
Kuang-Huei Lee +4 more
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DEIM: DETR with Improved Matching for Fast Convergence
Computer Vision and Pattern RecognitionWe introduce DEIM, an innovative and efficient training framework designed to accelerate convergence in real-time object detection with Transformer-based architectures (DETR).
Shihua Huang +5 more
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Why Propensity Scores Should Not Be Used for Matching
Political Analysis, 2019We show that propensity score matching (PSM), an enormously popular method of preprocessing data for causal inference, often accomplishes the opposite of its intended goal—thus increasing imbalance, inefficiency, model dependence, and bias.
Gary King, Richard Nielsen
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ACM Transactions on Programming Languages and Systems, 1996
A relation between recursive object types, called matching , has been proposed as a generalization of subtyping. Unlike subtyping, matching does not support subsumption, but it does support inheritance of binary methods. We argue that matching is a good idea, but that it should not be regarded as a form of F-bounded
Martín Abadi, Luca Cardelli
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A relation between recursive object types, called matching , has been proposed as a generalization of subtyping. Unlike subtyping, matching does not support subsumption, but it does support inheritance of binary methods. We argue that matching is a good idea, but that it should not be regarded as a form of F-bounded
Martín Abadi, Luca Cardelli
openaire +1 more source