Journal articles on the topic 'Shortcut learning'
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Lyu, Zhaoyan, and Miguel R. D. Rodrigues. "Exploring the Impact of Additive Shortcuts in Neural Networks via Information Bottleneck-like Dynamics: From ResNet to Transformer." Entropy 26, no. 11 (2024): 974. http://dx.doi.org/10.3390/e26110974.
Full textKim, Doyoung, Dongmin Park, Yooju Shin, Jihwan Bang, Hwanjun Song, and Jae-Gil Lee. "Adaptive Shortcut Debiasing for Online Continual Learning." Proceedings of the AAAI Conference on Artificial Intelligence 38, no. 12 (2024): 13122–31. http://dx.doi.org/10.1609/aaai.v38i12.29211.
Full textLi, Zihao, Ruixiang Tang, Lu Cheng, Shuaiqiang Wang, Dawei Yin, and Mengnan Du. "DBR: Divergence-Based Regularization for Debiasing Natural Language Understanding Models." ACM SIGKDD Explorations Newsletter 27, no. 1 (2025): 1–9. https://doi.org/10.1145/3748239.3748241.
Full textNauta, Meike, Ricky Walsh, Adam Dubowski, and Christin Seifert. "Uncovering and Correcting Shortcut Learning in Machine Learning Models for Skin Cancer Diagnosis." Diagnostics 12, no. 1 (2021): 40. http://dx.doi.org/10.3390/diagnostics12010040.
Full textGeirhos, Robert, Jörn-Henrik Jacobsen, Claudio Michaelis, et al. "Shortcut learning in deep neural networks." Nature Machine Intelligence 2, no. 11 (2020): 665–73. http://dx.doi.org/10.1038/s42256-020-00257-z.
Full textPOTAPOV, ALEXEI B., and M. K. ALI. "LEARNING, EXPLORATION AND CHAOTIC POLICIES." International Journal of Modern Physics C 11, no. 07 (2000): 1455–64. http://dx.doi.org/10.1142/s0129183100001309.
Full textFay, Louisa, Erick Cobos, Bin Yang, Sergios Gatidis, and Thomas Küstner. "Avoiding Shortcut-Learning by Mutual Information Minimization in Deep Learning-Based Image Processing." IEEE Access 11 (2023): 64070–86. http://dx.doi.org/10.1109/access.2023.3289397.
Full textHAN, FANG, MARIAN WIERCIGROCH, JIAN-AN FANG, and ZHIJIE WANG. "EXCITEMENT AND SYNCHRONIZATION OF SMALL-WORLD NEURONAL NETWORKS WITH SHORT-TERM SYNAPTIC PLASTICITY." International Journal of Neural Systems 21, no. 05 (2011): 415–25. http://dx.doi.org/10.1142/s0129065711002924.
Full textMORIHIRO, KOICHIRO, NOBUYUKI MATSUI, and HARUHIKO NISHIMURA. "CHAOTIC EXPLORATION EFFECTS ON REINFORCEMENT LEARNING IN SHORTCUT MAZE TASK." International Journal of Bifurcation and Chaos 16, no. 10 (2006): 3015–22. http://dx.doi.org/10.1142/s0218127406016616.
Full textDu, Mengnan, Fengxiang He, Na Zou, Dacheng Tao, and Xia Hu. "Shortcut Learning of Large Language Models in Natural Language Understanding." Communications of the ACM 67, no. 1 (2023): 110–20. http://dx.doi.org/10.1145/3596490.
Full textHu, Ruilin, Yajun Du, Jingrong Hu, and Hui Li. "Cross-community shortcut detection based on network representation learning and structural features." Intelligent Data Analysis 27, no. 3 (2023): 709–32. http://dx.doi.org/10.3233/ida-216513.
Full textZhong, Yujie, Xiao Li, Jiangjian Xie, and Junguo Zhang. "A Lightweight Automatic Wildlife Recognition Model Design Method Mitigating Shortcut Learning." Animals 13, no. 5 (2023): 838. http://dx.doi.org/10.3390/ani13050838.
Full textDobos, Petra, and Péter Pongrácz. "Body Awareness Does Not Need a Pedigree: Mixed-Breed Dogs Rely More on Self-Representation Than Social Learning in a Spatial Task." Animals 15, no. 3 (2025): 432. https://doi.org/10.3390/ani15030432.
Full textLao, Mingrui, Nan Pu, Yu Liu, Kai He, Erwin M. Bakker, and Michael S. Lew. "COCA: COllaborative CAusal Regularization for Audio-Visual Question Answering." Proceedings of the AAAI Conference on Artificial Intelligence 37, no. 11 (2023): 12995–3003. http://dx.doi.org/10.1609/aaai.v37i11.26527.
Full textTrivedi, Anusua, Caleb Robinson, Marian Blazes, et al. "Deep learning models for COVID-19 chest x-ray classification: Preventing shortcut learning using feature disentanglement." PLOS ONE 17, no. 10 (2022): e0274098. http://dx.doi.org/10.1371/journal.pone.0274098.
Full textNatsir, Siti Zahra Mulianti, Bibin Rubini, Didit Ardianto, and Nurhaedah Madjid. "Interactive Learning Multimedia: A Shortcut for Boosting Gen-Z’s Digital literacy in Science Classroom." Jurnal Penelitian Pendidikan IPA 8, no. 5 (2022): 2168–75. http://dx.doi.org/10.29303/jppipa.v8i5.1897.
Full textYang, Shuo, Bardh Prenkaj, and Gjergji Kasneci. "RAZOR: Sharpening Knowledge by Cutting Bias with Unsupervised Text Rewriting." Proceedings of the AAAI Conference on Artificial Intelligence 39, no. 24 (2025): 25633–41. https://doi.org/10.1609/aaai.v39i24.34754.
Full textFathima, Sheeba. "Music Genre Classification using Deep Learning." International Journal for Research in Applied Science and Engineering Technology 9, no. VII (2021): 66–71. http://dx.doi.org/10.22214/ijraset.2021.36087.
Full textRees, Simon, Megan Bruce, and Steven Bradley. "Utilising data-driven learning in chemistry teaching: A shortcut to improving chemical language comprehension." New Directions in the Teaching of Physical Sciences, no. 10 (June 1, 2014): 12–19. http://dx.doi.org/10.29311/ndtps.v0i10.511.
Full textSelby, Ian, Eduardo González Solares, Anna Breger, et al. "Improving the generalisation of radiographic AI using automated data curation to mitigate shortcut learning." Royal College of Radiologists Open 3 (January 2025): 100232. https://doi.org/10.1016/j.rcro.2024.100232.
Full textRees, Simon, Megan Bruce, and Steven Bradley. "Utilising Data-driven Learning in Chemistry Teaching: a Shortcut to Improving Chemical Language Comprehension." New Directions 10, no. 1 (2014): 12–19. http://dx.doi.org/10.11120/ndir.2014.00028.
Full textWilkinson, Anna, Karin Kuenstner, Julia Mueller, and Ludwig Huber. "Social learning in a non-social reptile ( Geochelone carbonaria )." Biology Letters 6, no. 5 (2010): 614–16. http://dx.doi.org/10.1098/rsbl.2010.0092.
Full textMengue-Topio, Hursula, Yannick Courbois, Emily K. Farran, and Pascal Sockeel. "Route learning and shortcut performance in adults with intellectual disability: A study with virtual environments." Research in Developmental Disabilities 32, no. 1 (2011): 345–52. http://dx.doi.org/10.1016/j.ridd.2010.10.014.
Full textClegg, Benjamin A. "Stimulus-Specific Sequence Representation in Serial Reaction Time Tasks." Quarterly Journal of Experimental Psychology Section A 58, no. 6 (2005): 1087–101. http://dx.doi.org/10.1080/02724980443000485.
Full textSong, Rui, Fausto Giunchiglia, Yingji Li, Mingjie Tian, and Hao Xu. "TACIT: A Target-Agnostic Feature Disentanglement Framework for Cross-Domain Text Classification." Proceedings of the AAAI Conference on Artificial Intelligence 38, no. 17 (2024): 18999–9007. http://dx.doi.org/10.1609/aaai.v38i17.29866.
Full textHusain, Arshi, and Virendra P. Vishvakarma. "Optimized deterministic multikernel extreme learning machine for classification of COVID-19 chest Xray images." Journal of Information and Optimization Sciences 44, no. 4 (2023): 771–93. http://dx.doi.org/10.47974/jios-1319.
Full textSuparjan, Suparjan, and Nining Ismiyani. "The Use of Tanjungpura University’s e-Learning-Moodle LMS during Online Learning: Problems, Solutions and Continuation." Ta'dib 26, no. 1 (2023): 71. http://dx.doi.org/10.31958/jt.v26i1.7902.
Full textSudirman and Merlin Novayanti Nepa Burenia. "Peningkatan Kemampuan Berpikir Kritis Menyimak Video Melalui Media Wordwall“Open The Box” Peserta Didik X C SMAN 5 Kupang." Transformatika: Jurnal Bahasa, Sastra, dan Pengajarannya 9, no. 1 (2024): 254–68. https://doi.org/10.31002/transformatika.v9i1.2163.
Full textXu, Chendong, Weigang Wang, Yunwei Zhang, Jie Qin, Shujuan Yu, and Yun Zhang. "An Indoor Localization System Using Residual Learning with Channel State Information." Entropy 23, no. 5 (2021): 574. http://dx.doi.org/10.3390/e23050574.
Full textArun, K., and A. Srinagesh. "Multilingual twitter sentiment analysis using machine learning." International Journal of Electrical and Computer Engineering (IJECE) 10, no. 6 (2020): 5992. http://dx.doi.org/10.11591/ijece.v10i6.pp5992-6000.
Full textZheng, Hui, Yizhi Cao, Min Sun, et al. "Mixed Structure with 3D Multi-Shortcut-Link Networks for Hyperspectral Image Classification." Remote Sensing 14, no. 5 (2022): 1230. http://dx.doi.org/10.3390/rs14051230.
Full textWang, Zitong, Zeyi Wang, and Pengyu Sun. "Deep learning model for gastrointestinal polyp segmentation." PeerJ Computer Science 11 (May 28, 2025): e2924. https://doi.org/10.7717/peerj-cs.2924.
Full textNibedita Patra. "Deep Learning-Based Single Image De-Raining Using Discrete Hartley Transformation." Journal of Information Systems Engineering and Management 10, no. 26s (2025): 395–408. https://doi.org/10.52783/jisem.v10i26s.4242.
Full textK., Arun, and Srinagesh A. "Multi-lingual Twitter sentiment analysis using machine learning." International Journal of Electrical and Computer Engineering (IJECE) 10, no. 6 (2020): 5992–6000. https://doi.org/10.11591/ijece.v10i6.pp5992-6000.
Full textHolmberg, Linn. "Right and Wrong Ways of Knowing." 1700-tal: Nordic Journal for Eighteenth-Century Studies 20 (December 20, 2023): 8–33. http://dx.doi.org/10.7557/4.7203.
Full textSun, Chaoyue, Ruogu Fang, Marco Salemi, Mattia Prosperi, and Brittany Rife Magalis. "DeepDynaForecast: Phylogenetic-informed graph deep learning for epidemic transmission dynamic prediction." PLOS Computational Biology 20, no. 4 (2024): e1011351. http://dx.doi.org/10.1371/journal.pcbi.1011351.
Full textWelte, Peter O. "Caveat Examiner: Beware Clever Students." Perceptual and Motor Skills 77, no. 3_suppl (1993): 1213–14. http://dx.doi.org/10.2466/pms.1993.77.3f.1213.
Full textPollock, Mica. "Flipping Our Scripts about Undocumented Immigration." Genealogy 4, no. 1 (2020): 29. http://dx.doi.org/10.3390/genealogy4010029.
Full textMah, Christopher, Hillary Walker, Lena Phalen, Sarah Levine, Sarah W. Beck, and Jaylen Pittman. "Beyond CheatBots: Examining Tensions in Teachers’ and Students’ Perceptions of Cheating and Learning with ChatGPT." Education Sciences 14, no. 5 (2024): 500. http://dx.doi.org/10.3390/educsci14050500.
Full textThanuja, B. "Machine Learning Based Crime Rate Analysis Using Python." International Journal for Research in Applied Science and Engineering Technology 10, no. 11 (2022): 1312–16. http://dx.doi.org/10.22214/ijraset.2022.47574.
Full textPetrov, Sergei, Tapan Mukerji, Xin Zhang, and Xinfei Yan. "Shape Carving Methods of Geologic Body Interpretation from Seismic Data Based on Deep Learning." Energies 15, no. 3 (2022): 1064. http://dx.doi.org/10.3390/en15031064.
Full textWang, Tong, Yuan Yao, Feng Xu, Miao Xu, Shengwei An, and Ting Wang. "Inspecting Prediction Confidence for Detecting Black-Box Backdoor Attacks." Proceedings of the AAAI Conference on Artificial Intelligence 38, no. 1 (2024): 274–82. http://dx.doi.org/10.1609/aaai.v38i1.27780.
Full textAlgabri, Malek, and Firdaus Alhrazi. "Approach to Plagiarism Detection in Programming Assignments." Journal of Engineering and Technological Sciences - JOEATS 3, no. 1 (2025): 91–100. https://doi.org/10.59421/joeats.v3i1.2478.
Full textNizamli, Yasser, Yasser Nizamli, Anton Filatov, Weaam Fadel, Yulia Shichkina, and Kinda Mreish. "A Lightweight CNN Architecture for Efficient Brain Tumor Detection in MRI Scans." International Journal of Electrical and Electronics Research 13, no. 2 (2025): 296–305. https://doi.org/10.37391/ijeer.130213.
Full textSulistyo, Totok, and Rohmat Fauzi. "Soil Infiltration Rate Prediction using Machine Learning Regression Model: A Case Study on Sepinggan River Basin, Balikpapan, Indonesia." Indonesian Journal on Geoscience 10, no. 3 (2023): 335–47. http://dx.doi.org/10.17014/ijog.10.3.335-347.
Full textKURAKAMI, Takeru, Kazuyoshi SOUMA, Takashi MIYAMOTO, Takahiko FURUYA, Jun MAGOME, and Hiroshi ISHIDAIRA. "APPLICATION OF A DEEP-LEARNING METHOD INCLUDING SHORTCUT PATHS TO CORRECT THE PRECIPITATION OUTPUTS OF A NUMERICAL WEATHER PREDICTION MODEL." Journal of Japan Society of Civil Engineers, Ser. G (Environmental Research) 76, no. 5 (2020): I_471—I_478. http://dx.doi.org/10.2208/jscejer.76.5_i_471.
Full textLópez-Cabrera, José Daniel, Rubén Orozco-Morales, Jorge Armando Portal-Díaz, Orlando Lovelle-Enríquez, and Marlén Pérez-Díaz. "Current limitations to identify covid-19 using artificial intelligence with chest x-ray imaging (part ii). The shortcut learning problem." Health and Technology 11, no. 6 (2021): 1331–45. http://dx.doi.org/10.1007/s12553-021-00609-8.
Full textRamsgaard Thomsen, Mette, Paul Nicholas, Martin Tamke, Sebastian Gatz, Yuliya Sinke, and Gabriella Rossi. "Towards machine learning for architectural fabrication in the age of industry 4.0." International Journal of Architectural Computing 18, no. 4 (2020): 335–52. http://dx.doi.org/10.1177/1478077120948000.
Full textAsghar, Ali Chandio, Leghari Mehwish, Orangzeb Panhwar Ali, Zaman Nizamani Shah, and Leghari Mehjabeen. "Deep learning-based isolated handwritten Sindhi character recognition." Indian Journal of Science and Technology 13, no. 25 (2020): 2565–74. https://doi.org/10.17485/IJST/v13i25.914.
Full textZhao, Yu, Rennong Yang, Guillaume Chevalier, Ximeng Xu, and Zhenxing Zhang. "Deep Residual Bidir-LSTM for Human Activity Recognition Using Wearable Sensors." Mathematical Problems in Engineering 2018 (December 30, 2018): 1–13. http://dx.doi.org/10.1155/2018/7316954.
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