Relevant bibliographies by topics / Winogrand

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers

Academic literature on the topic 'Winogrand'

Author: Grafiati
Published: 4 June 2021
Last updated: 28 July 2025

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Journal articles on the topic "Winogrand"

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Constantine, Simon. "From the Museum to the Street: Garry Winogrand’s Public Relations and the Actuality of Protest." Arts 8, no. 2 (2019): 59. http://dx.doi.org/10.3390/arts8020059.

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Focusing on Garry Winogrand’s Public Relations (1977), this article explores the problematic encounter between street photography and protest during the Vietnam War era. In doing so, it considers the extent to which Winogrand’s engagement with protest altered the formalist discourse that had surrounded his practice and the ‘genre’ of street photography more broadly since the 1950s. It is suggested that, although Winogrand never abandoned his debt to this framework, the logic of protest also intensified its internal contradictions, prompting a new attitude towards the crowd, art institution, st
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Parry Janis, Eugenia. "Winogrand; Excesses of a Modern Mannerist." History of Photography 13, no. 3 (1989): 257–58. http://dx.doi.org/10.1080/03087298.1989.10441202.

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Anderson, Kathy J. "WINOGRAND: FIGMENTS FROM THE REAL WORLD. John Szarkowski." Art Documentation: Journal of the Art Libraries Society of North America 7, no. 4 (1988): 171–72. http://dx.doi.org/10.1086/adx.7.4.27947982.

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Sakaguchi, Keisuke, Ronan Le Bras, Chandra Bhagavatula, and Yejin Choi. "WinoGrande: An Adversarial Winograd Schema Challenge at Scale." Proceedings of the AAAI Conference on Artificial Intelligence 34, no. 05 (2020): 8732–40. http://dx.doi.org/10.1609/aaai.v34i05.6399.

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The Winograd Schema Challenge (WSC) (Levesque, Davis, and Morgenstern 2011), a benchmark for commonsense reasoning, is a set of 273 expert-crafted pronoun resolution problems originally designed to be unsolvable for statistical models that rely on selectional preferences or word associations. However, recent advances in neural language models have already reached around 90% accuracy on variants of WSC. This raises an important question whether these models have truly acquired robust commonsense capabilities or whether they rely on spurious biases in the datasets that lead to an overestimation
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Baer, Ulrich. "Seeing the Future in an Image from the Past: Hannah Arendt, Garry Winogrand, and Photographing the World." Yearbook of Comparative Literature 55, no. 1 (2009): 226–63. http://dx.doi.org/10.1353/cgl.2011.0000.

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Sakaguchi, Keisuke, Ronan Le Bras, Chandra Bhagavatula, and Yejin Choi. "WinoGrande." Communications of the ACM 64, no. 9 (2021): 99–106. http://dx.doi.org/10.1145/3474381.

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Commonsense reasoning remains a major challenge in AI, and yet, recent progresses on benchmarks may seem to suggest otherwise. In particular, the recent neural language models have reported above 90% accuracy on the Winograd Schema Challenge (WSC), a commonsense benchmark originally designed to be unsolvable for statistical models that rely simply on word associations. This raises an important question---whether these models have truly acquired robust commonsense capabilities or they rely on spurious biases in the dataset that lead to an overestimation of the true capabilities of machine commo
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Rembiszewska, Dorota Krystyna, and Janusz Siatkowski. "Jakie zapożyczenie i skąd? O wyrazie winohrad, winograd ‘winnica’, ‘winorośl’, ‘winogrono’." TEKA Komisji Polsko-Ukraińskich Związków Kulturowych 6 (December 14, 2021): 173–81. http://dx.doi.org/10.31743/teka.13354.

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Przedmiotem omówienia jest rozstrzygnięcie problemu, jak traktować wyrazy, które mogą być pożyczkami leksykalnymi lub adaptacją fonetyczną. Zagadnienie to zostało omówione na przykładzie wyrazu winohrad, winograd ‘winnica’, ‘winorośl’, winogrono’ – dawna pożyczka germańska, która przeniknęła do języków wschodniosłowiańskich.
 Zgromadzone w dotychczasowych opracowaniach bogate materiały, w tym z polskich słowników historycznych i gwarowych, pozwalają na ustalenie, w jakim stopniu wpływał tu język czeski, a w jakim języki wschodniosłowiańskie. Przytaczamy więc bardzo bogaty materiał źródłow
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Yang, Tao, Zhezhi He, Tengchuan Kou, et al. "BISWSRBS: A Winograd-based CNN Accelerator with a Fine-grained Regular Sparsity Pattern and Mixed Precision Quantization." ACM Transactions on Reconfigurable Technology and Systems 14, no. 4 (2021): 1–28. http://dx.doi.org/10.1145/3467476.

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Field-programmable Gate Array (FPGA) is a high-performance computing platform for Convolution Neural Networks (CNNs) inference. Winograd algorithm, weight pruning, and quantization are widely adopted to reduce the storage and arithmetic overhead of CNNs on FPGAs. Recent studies strive to prune the weights in the Winograd domain, however, resulting in irregular sparse patterns and leading to low parallelism and reduced utilization of resources. Besides, there are few works to discuss a suitable quantization scheme for Winograd. In this article, we propose a regular sparse pruning pattern in the
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Lyakhov, P. A., N. N. Nagornov, N. F. Semyonova, and A. S. Abdulsalyamova. "Development of digital image processing algorithms based on the Winograd method in general form and analysis of their computational complexity." Computer Optics 47, no. 1 (2023): 68–78. http://dx.doi.org/10.18287/2412-6179-co-1146.

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The fast increase of the amount of quantitative and qualitative characteristics of digital visual data calls for the improvement of the performance of modern image processing devices. This article proposes new algorithms for 2D digital image processing based on the Winograd method in a general form. An analysis of the obtained results showed that the use of the Winograd method reduces the computational complexity of image processing by up to 84% compared to the traditional direct digital filtering method depending on the filter parameters and image fragments, while not affecting the quality of
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Mori, Pierpaolo, Mohammad Shanur Rahman, Lukas Frickenstein, et al. "End-to-End Deployment of Winograd-Based DNNs on Edge GPU." Electronics 13, no. 22 (2024): 4538. http://dx.doi.org/10.3390/electronics13224538.

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The Winograd algorithm reduces the computational complexity of convolutional neural networks (CNNs) by minimizing the number of multiplications required for convolutions, making it particularly suitable for resource-constrained edge devices. Concurrently, most edge hardware accelerators utilize 8-bit integer arithmetic to enhance energy efficiency and reduce inference latency, requiring the quantization of CNNs before deployment. Combining Winograd-based convolution with quantization offers the potential for both performance acceleration and reduced energy consumption. However, prior research
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Dissertations / Theses on the topic "Winogrand"

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TABLADA, Claudio Javier. "Aproximações para a dct Baseadas nos Algoritmos de Feig-winograd e Chen." Universidade Federal de Pernambuco, 2014. https://repositorio.ufpe.br/handle/123456789/12303.

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Submitted by Etelvina Domingos (etelvina.domingos@ufpe.br) on 2015-03-12T19:56:16Z No. of bitstreams: 2 TESE Claudio Javier Tablada.pdf: 2444677 bytes, checksum: 2dcc68c8d3d0abc3074f8f0081738d37 (MD5) license_rdf: 1232 bytes, checksum: 66e71c371cc565284e70f40736c94386 (MD5)<br>Made available in DSpace on 2015-03-12T19:56:16Z (GMT). No. of bitstreams: 2 TESE Claudio Javier Tablada.pdf: 2444677 bytes, checksum: 2dcc68c8d3d0abc3074f8f0081738d37 (MD5) license_rdf: 1232 bytes, checksum: 66e71c371cc565284e70f40736c94386 (MD5) Previous issue date: 2014-02<br>CAPES<br>Nos últimos anos, a comun
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Bruand, Aline Vanessa [Verfasser], and M. [Akademischer Betreuer] Papenbrock. "„The Epic American... – Garry Winogrands Blick auf die USA“ / Aline Vanessa Bruand ; Betreuer: M. Papenbrock." Karlsruhe : KIT-Bibliothek, 2020. http://d-nb.info/1221186892/34.

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Qureshi, Fahad, Mario Garrido, and Oscar Gustafsson. "Unified architecture for 2, 3, 4, 5, and 7-point DFTs based on Winograd Fourier transform algorithm." Linköpings universitet, Elektroniksystem, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-74760.

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A unified hardware architecture that can be reconfigured to calculate 2, 3, 4, 5, or 7-point DFTs is presented. The architecture is based on the Winograd Fourier transform algorithm and the complexity is equal to a 7-point DFT in terms of adders/subtractors and multipliers plus only seven multiplexers introduced to enable reconfigurability. The processing element finds potential use in memory-based FFTs, where non-power-of-two sizes are required such as in DMB-T.
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Stothers, Andrew James. "On the complexity of matrix multiplication." Thesis, University of Edinburgh, 2010. http://hdl.handle.net/1842/4734.

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The evaluation of the product of two matrices can be very computationally expensive. The multiplication of two n×n matrices, using the “default” algorithm can take O(n3) field operations in the underlying field k. It is therefore desirable to find algorithms to reduce the “cost” of multiplying two matrices together. If multiplication of two n × n matrices can be obtained in O(nα) operations, the least upper bound for α is called the exponent of matrix multiplication and is denoted by ω. A bound for ω < 3 was found in 1968 by Strassen in his algorithm. He found that multiplication of two 2 × 2
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Suter, Frédéric. "Parallélisme mixte et prédiction de performances sur réseaux hétérogènes de machines parallèles." Lyon, École normale supérieure (sciences), 2002. http://www.theses.fr/2002ENSL0233.

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"Avec la généralisation de l'Internet, il est désormais possible pour les utilisateurs de calcul numérique d'accéder aux machines les plus puissantes disponibles de par le monde et ce depuis leur station de travail. A grande échelle, ce type d'accès distant est appelé "metacomputing". Les travaux effectués au cours de cette thèsze ont tout d'abord concerné la parallélisation du logiciel SCILAB, en suivant, entre autres, une aproche basée sur des serveurs de calcul. Au cours de ces dévéloppements, les lacunes des environnements de ce type ont été exhibées, notamment le problème de goulot d'étra
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顏景池. "A multiple-functional-unit data-path chip for a winograd FFT processor." Thesis, 1992. http://ndltd.ncl.edu.tw/handle/49088508935897731344.

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"An intelligent co-reference resolver for Winograd schema sentences containing resolved semantic entities." Master's thesis, 2013. http://hdl.handle.net/2286/R.I.20798.

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abstract: There has been a lot of research in the field of artificial intelligence about thinking machines. Alan Turing proposed a test to observe a machine's intelligent behaviour with respect to natural language conversation. The Winograd schema challenge is suggested as an alternative, to the Turing test. It needs inferencing capabilities, reasoning abilities and background knowledge to get the answer right. It involves a coreference resolution task in which a machine is given a sentence containing a situation which involves two entities, one pronoun and some more information about the situ
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"Solving Winograd Schema Challenge : Using Semantic Parsing, Automatic Knowledge Acquisition and Logical Reasoning." Master's thesis, 2014. http://hdl.handle.net/2286/R.I.27387.

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abstract: Turing test has been a benchmark scale for measuring the human level intelligence in computers since it was proposed by Alan Turing in 1950. However, for last 60 years, the applications such as ELIZA, PARRY, Cleverbot and Eugene Goostman, that claimed to pass the test. These applications are either based on tricks to fool humans on a textual chat based test or there has been a disagreement between AI communities on them passing the test. This has led to the school of thought that it might not be the ideal test for predicting the human level intelligence in machines. Consequently, t
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Kardaś, Bartosz. "Winnica w Krzeszowie nad Sanem." Praca dyplomowa, 2019. http://hdl.handle.net/11315/26018.

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"Wino to lustrzane odbicie historii terenów i ludzi, którzy je zamieszkują. Żadna z upraw nie zależy w tak dużym stopniu od lokalnych uwarunkowań. Wybór tematu projektu był podyktowany chęcią wykorzystania unikalnego potencjału miejsca z jego specyficznym mikroklimatem, odpowiednimi dla uprawy winogron glebami, konfiguracją objętego opracowaniem terenu. Projekt winnicy jest nawiązaniem i odrodzeniem zapomnianych tradycji obecnych na tym terenie przed setkami lat."(...)
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"Towards Understanding Natural Language: Semantic Parsing, Commonsense Knowledge Acquisition, Reasoning Framework and Applications." Doctoral diss., 2019. http://hdl.handle.net/2286/R.I.54850.

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abstract: Reasoning with commonsense knowledge is an integral component of human behavior. It is due to this capability that people know that a weak person may not be able to lift someone. It has been a long standing goal of the Artificial Intelligence community to simulate such commonsense reasoning abilities in machines. Over the years, many advances have been made and various challenges have been proposed to test their abilities. The Winograd Schema Challenge (WSC) is one such Natural Language Understanding (NLU) task which was also proposed as an alternative to the Turing Test. It is made
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Books on the topic "Winogrand"

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Wilner, Stack Trudy, and University of Arizona. Center for Creative Photography. Garry Winogrand Archive., eds. Winogrand: 1964. Arena Editions, 2002.

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Jiménez, Eva M. Vives. Garry Winogrand. Fundación MAPFRE, 2021.

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1928-1984, Winogrand Garry, San Francisco Museum of Modern Art, and National Gallery of Art (U.S.), eds. Garry Winogrand. San Francisco Museum of Modern Art, 2013.

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Garry, Winogrand, and University of Arizona. Center for Creative Photography., eds. Garry Winogrand: Early work. Center for Creative Photography, University of Arizona, 1990.

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Szarkowski, John. Winogrand: Figments from the real world. Museum of Modern Art, 1996.

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Bone, Sebastian. Garry Winogrand - the social and formal. Derbyshire College of Higher Education, 1990.

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John, Szarkowski, and Museum of Modern Art (New York, N.Y.), eds. Winogrand: Figments from the real world. Museum of Modern Art, 1988.

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Museum of Modern Art (New York, N.Y.), ed. The animals. 2nd ed. Museum of Modern Art, 2004.

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Tod, Papageorge, and Museum of Modern Art (New York, N.Y.), eds. Public relations. Museum of Modern Art, 2004.

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SBM, Wydawnictwo, ed. Zdrowie i uroda z natury: Herbata, kawa, kakao i czekolada, miód, winogrona, zioła. Wydawnictwo SBM, 2013.

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Book chapters on the topic "Winogrand"

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Neri, Hugo, and Fabio G. Cozman. "Who Killed the Winograd Schema Challenge?" In Intelligent Systems. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-45392-2_14.

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Wei, Hui, Enjie Liu, Youbing Zhao, and Hongqing Yu. "Efficient Non-fused Winograd on GPUs." In Advances in Computer Graphics. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-61864-3_35.

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Do, Cong Thuan, and Hoang Anh Nguyen. "Optimizing Winograd-Based Convolution on GPUs." In Communications in Computer and Information Science. Springer Nature Singapore, 2025. https://doi.org/10.1007/978-981-96-4291-5_39.

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Liu, Zhi-Gang, and Matthew Mattina. "Efficient Residue Number System Based Winograd Convolution." In Computer Vision – ECCV 2020. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-58529-7_4.

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Barabasz, Barbara, and David Gregg. "Winograd Convolution for DNNs: Beyond Linear Polynomials." In Lecture Notes in Computer Science. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-35166-3_22.

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Fähndrich, Johannes, Sabine Weber, and Hannes Kanthak. "A Marker Passing Approach to Winograd Schemas." In Semantic Technology. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-04284-4_12.

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Wang, Zelong, Qiang Lan, Hongjun He, and Chunyuan Zhang. "Winograd Algorithm for 3D Convolution Neural Networks." In Artificial Neural Networks and Machine Learning – ICANN 2017. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-68612-7_69.

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Protsenko, Vladimir, Vladimir Kryzhanovskiy, and Alexander Filippov. "Quantization-Friendly Winograd Transformations for Convolutional Neural Networks." In Lecture Notes in Computer Science. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-73636-0_11.

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Jiang, Jingbo, Xizi Chen, and Chi-Ying Tsui. "Accelerating Large Kernel Convolutions with Nested Winograd Transformation." In IFIP Advances in Information and Communication Technology. Springer Nature Switzerland, 2024. https://doi.org/10.1007/978-3-031-70947-0_6.

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Dumas, Jean-Guillaume, Pascal Lafourcade, Julio Lopez Fenner, et al. "Secure Multiparty Matrix Multiplication Based on Strassen-Winograd Algorithm." In Advances in Information and Computer Security. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-26834-3_5.

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Conference papers on the topic "Winogrand"

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Xing, Yunlong, Mingxin Deng, Zhiwei Li, Yinan Wang, and Qingjiang Li. "A Memristor-Based Winograd Fast Fourier Transform Computation Circuit." In 2024 4th International Conference on Electronic Information Engineering and Computer (EIECT). IEEE, 2024. https://doi.org/10.1109/eiect64462.2024.10866317.

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Park, Brendan, Madeline Janecek, Naser Ezzati-Jivan, Yifeng Li, and Ali Emami. "Picturing Ambiguity: A Visual Twist on the Winograd Schema Challenge." In Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). Association for Computational Linguistics, 2024. http://dx.doi.org/10.18653/v1/2024.acl-long.22.

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Zahraei, Pardis Sadat, and Ali Emami. "WSC+: Enhancing The Winograd Schema Challenge Using Tree-of-Experts." In Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers). Association for Computational Linguistics, 2024. https://doi.org/10.18653/v1/2024.eacl-long.99.

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Lv, Xinpeng, and Xin Zhang. "Design and Implementation of a Winograd-Based Convolutional Neural Network Accelerator." In 2024 20th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD). IEEE, 2024. http://dx.doi.org/10.1109/icnc-fskd64080.2024.10702338.

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Cozman, Fábio, and Hugo Munhoz. "The Winograd Schemas from Hell." In Encontro Nacional de Inteligência Artificial e Computacional. Sociedade Brasileira de Computação - SBC, 2020. http://dx.doi.org/10.5753/eniac.2020.12157.

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The Winograd Challenge has been advocated as a test of computer understanding with respect to commonsense reasoning. The challenge is based on Winograd Schemas: sentences that contain correferential ambiguities. Most Winograd Schemas are relatively easy for human subjects, and today the best computer systems for the Winograd Challenge can work close to human performance. In this paper, we examine the assumptions behind the Winograd Challenge, and investigate how far we can push the difficulty level of Winograd Schemas, proposing various strategies to build really challenging schemas.
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Melo, Gabriela, Vinicius Imaizumi, and Fábio Cozman. "Winograd Schemas in Portuguese." In Encontro Nacional de Inteligência Artificial e Computacional. Sociedade Brasileira de Computação - SBC, 2019. http://dx.doi.org/10.5753/eniac.2019.9334.

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The Winograd Schema Challenge has become a common benchmark for question answering and natural language processing. The original set of Winograd Schemas was created in English; in order to stimulate the development of Natural Language Processing in Portuguese, we have developed a set of Winograd Schemas in Portuguese. We have also adapted solutions proposed for the English-based version of the challenge so as to have an initial baseline for its Portuguese-based version; to do so, we created a language model for Portuguese based on a set of Wikipedia documents.
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Tong, Gan, and Libo Huang. "Fast Convolution based on Winograd Minimum Filtering: Introduction and Development." In 5th International Conference on Computer Science and Information Technology (COMIT 2021). Academy and Industry Research Collaboration Center (AIRCC), 2021. http://dx.doi.org/10.5121/csit.2021.111716.

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Convolutional Neural Network (CNN) has been widely used in various fields and played an important role. Convolution operators are the fundamental component of convolutional neural networks, and it is also the most time-consuming part of network training and inference. In recent years, researchers have proposed several fast convolution algorithms including FFT and Winograd. Among them, Winograd convolution significantly reduces the multiplication operations in convolution, and it also takes up less memory space than FFT convolution. Therefore, Winograd convolution has quickly become the first c
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Xue, Xinghua, Haitong Huang, Cheng Liu, Tao Luo, Lei Zhang, and Ying Wang. "Winograd convolution." In DAC '22: 59th ACM/IEEE Design Automation Conference. ACM, 2022. http://dx.doi.org/10.1145/3489517.3530531.

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Pereira, Artur H. C., and Marcus V. Lamar. "Case Study on the Use of Winograd-Based Convolution for CNN Inference in FPGA." In Anais Estendidos do Simpósio em Sistemas Computacionais de Alto Desempenho. Sociedade Brasileira de Computação - SBC, 2023. http://dx.doi.org/10.5753/wscad_estendido.2023.235889.

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This work explores the implementation of Convolutional Neural Networks (CNNs) on FPGAs. Two circuits are investigated: one based on the spatial 2-D convolution algorithm and another based on the Winograd algorithm for convolution. The Winograd algorithm simplifies the convolution process through linear transformations that reduce the number of multiplications required. However, there is an increase in circuit complexity due to the additional logic to perform the transformations. The two implementations are compared in a case study of a simple architecture to solve the handwritten digits classi
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do Nascimento, Thiago Gomes, and Diogo Cortiz. "Avaliação do senso comum em modelos de linguagem através de benchmarks: Desafio de Winograd aplicado ao ChatGPT em português brasileiro." In Simpósio Brasileiro de Tecnologia da Informação e da Linguagem Humana. Sociedade Brasileira de Computação, 2023. http://dx.doi.org/10.5753/stil.2023.233957.

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O desempenho em benchmarks é apresentado como uma forma de avaliação efetiva dos limites de compreensão dos modelos de linguagem. Neste sentido, o desafio de esquemas de Winograd, que se propõe a avaliar o senso comum por meio de tarefas de desambiguação de pronomes, deu origem a diferentes métricas e datasets. Ao aplicar a tradução do desafio de Winograd ao ChatGPT em português brasileiro, identificamos resultados equiparáveis aos obtidos em inglês. Contudo, é preciso ter cautela ao interpretar estes dados, visto que existem vieses associados ao treinamento dos modelos e lacunas quanto às dim
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