Showing 61 - 80 results of 85 for search 'explicit contrastive learning', query time: 0.10s Refine Results
  1. 61

    Latent Graph Attention for Spatial Context in Light-Weight Networks: Multi-Domain Applications in Visual Perception Tasks by Ayush Singh, Yash Bhambhu, Himanshu Buckchash, Deepak K. Gupta, Dilip K. Prasad

    Published 2024-11-01
    “…Moreover, the depth of the graph network can be used to adapt the extent of contextual spread to the target dataset, thereby able to explicitly control the added computational cost. To enhance the learning mechanism of LGA, we also introduce a novel contrastive loss term that helps our LGA module to couple well with the original architecture at the expense of minimal additional computational load. …”
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  2. 62

    Efficient Text Encoders for Labor Market Analysis by Jens-Joris Decorte, Jeroen van Hautte, Chris Develder, Thomas Demeester

    Published 2025-01-01
    “…In this paper, we propose ConTeXT-match, a novel contrastive learning approach with token-level attention that is well-suited for the extreme multi-label classification task of skill classification. …”
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  3. 63

    Multi-Modal CLIP-Informed Protein Editing by Mingze Yin, Hanjing Zhou, Yiheng Zhu, Miao Lin, Yixuan Wu, Jialu Wu, Hongxia Xu, Chang-Yu Hsieh, Tingjun Hou, Jintai Chen, Jian Wu

    Published 2024-01-01
    “…Methods: To fill these gaps, we propose a novel method called ProtET for efficient CLIP-informed protein editing through multi-modality learning. Our approach comprises 2 stages: In the pretraining stage, contrastive learning aligns protein–biotext representations encoded by 2 large language models (LLMs). …”
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  4. 64

    Reflexivity as a transformative capacity for sustainability science: introducing a critical systems approach by Anita Lazurko, Michele-Lee Moore, L. Jamila Haider, Simon West, Daniel D. P. McCarthy

    Published 2025-01-01
    “…Yet, transdisciplinary research involves diverse actors who hold contrasting and sometimes conflicting perspectives and worldviews. …”
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  5. 65

    The impact of orthographic knowledge on speech processing by Régine Kolinsky, Chotiga Pattamadilok, José Morais

    Published 2012-12-01
    “…in this contribution, we first briefly review the main ideas and evidence supporting the role of learning to read in the alphabetic system in the development of conscious representations of phonemes, and we contrast conscious and unconscious representations of phonemes. …”
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  6. 66

    AstroM3: A Self-supervised Multimodal Model for Astronomy by M. Rizhko, J. S. Bloom

    Published 2025-01-01
    “…Here we construct an astronomical multimodal dataset and propose AstroM ^3 , a self-supervised pretraining approach that enables a model to learn from multiple modalities simultaneously. We extend the Contrastive Language-Image Pretraining (CLIP) model to a trimodal setting, allowing the integration of time-series photometry data, spectra, and astrophysical metadata. …”
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  7. 67

    Identifying and Understanding the Language Curriculum Across the World by Christine N. Ferrer, Aubrey S. Somera

    Published 2022-09-01
    “… This article compares and contrasts the Language Curriculum in the United States, United Arab Emirates, Mongolia, Philippines and Indian Language Curriculum for the year 2022. …”
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  8. 68

    A multimodal framework for pepper diseases and pests detection by Jun Liu, Xuewei Wang

    Published 2024-11-01
    “…This model decomposes complex multimodal features of language and images into explicit attribute features and employs fine-grained multimodal attribute contrast learning strategies. …”
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  9. 69

    Teachers' and students' perceptions of AI-generated concept explanations: Implications for integrating generative AI in computer science education by Soohwan Lee, Ki-Sang Song

    Published 2024-12-01
    “…The study proposes strategies for designing GAI-based explanations that cater to learners' needs and emphasizes the necessity of explicit AI literacy instruction. Limitations and future research directions are discussed, underlining the need for larger-scale studies and experimental designs that assess the impact of GAI on actual learning outcomes.…”
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  10. 70

    A qualitative investigation of the influences of gender among low-socioeconomic status students’ motivations to study biology by Svetlana Masjutina, Elizabeth Stearns

    Published 2025-02-01
    “…For LSES men, these experiences were mostly related to engaging academic content, while explicit encouragement and support from teachers was particularly impactful for LSES women. …”
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  11. 71

    Att lära om naturen från naturen och i naturen by Sara Planting-Bergloo, Emma Rova, Charlotte Lennartsdotter, Per Rohlin, Maria Andrée

    Published 2025-02-01
    “…Studien kan vidare fungera som ett stöd för lärare hur man explicit kan adressera dessa fältpraktiker i undervisningen – inför, under och efter genomförande av fältstudier. …”
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  12. 72

    Relating sparse and predictive coding to divisive normalization. by Yanbo Lian, Anthony N Burkitt

    Published 2025-05-01
    “…Simulations show that the model can learn simple cells in the primary visual cortex with the property of contrast saturation, which has previously been explained by divisive normalization. …”
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  13. 73

    Collaborating Across Organizational Boundaries to Develop, Evaluate, and Implement eHealth: Scoping Review by Aafke G Coopmans, Remco S Mannak, Anna M Braspenning, Eveline J M Wouters, Inge M B Bongers

    Published 2025-06-01
    “…A dialogical learning mechanism, defined as a learning process that occurs when boundaries hinder IOC, can support learning how to navigate such boundaries. …”
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  14. 74

    Evaluating the level of digitalization of the innovation process with artificial intelligence approach in the digital transformation of knowledge-based companies by ali Bagheri, reza radfar, sepehr ghazinoory

    Published 2025-02-01
    “…The scientific study of algorithms and statistical models are used by computer systems that use patterns and inference to perform tasks rather than using clear instructions. Machine learning is the science of making computers learn about a specific subject without the need for an explicit program. …”
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  15. 75

    Adaptive Toeplitz convolution- enhanced classifier for anomaly detection in ECG big data by Lili Wu, Tao Li, Majid Khan Majahar Ali, Chenmin Ni, Ying Tian, Xiaojie Zhou

    Published 2025-03-01
    “…Various autoencoder (AE) models within machine learning (ML) have been proposed for this task. However, these models often do not explicitly consider the specific patterns in ECG time series, thereby impacting their learning efficiency. …”
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  16. 76

    Integrated Bidding and Battery Scheduling in a Microgrid for Sealed-Bid Double Auction Power Trading With Peer Microgrids Under Uncertainty and Its Blockchain-Based Implementation by Zubin J. B., Sunitha R., Gopakumar Pathirikkat

    Published 2025-01-01
    “…This paper proposes a novel framework for conducting sealed-bid double auctions in power trading for multi-microgrid networks, addressing the critical challenge of jointly optimizing bidding decisions and battery scheduling under uncertainty in renewable energy generation and load demand. In contrast to existing approaches that treat these components independently, our method explicitly models their interdependency for maximizing trading efficiency. …”
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  17. 77

    Metacognitive States in Language, Communication and Cognition by N. K. Ryabtseva

    Published 2017-05-01
    “…The main problem with this is the fact that metacognitive states can be expressed in language not only directly and explicitly, but they can be hidden, implicit, as well as syncretic with other important communicative meanings. …”
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  18. 78

    Ambroxol confers neuroprotection against scopolamine-induced Alzheimer’s-like pathology by modulating oxidative stress, neuroinflammation, and cognitive deficits via Nrf-2/JNK/GSK-... by Waqas Ahmad, Kyonghwan Choe, Kyonghwan Choe, Riaz Ahmad, Tae Ju Park, Myeong Ok Kim, Myeong Ok Kim

    Published 2025-07-01
    “…Scopolamine also compromised synaptic integrity and induced deficits in memory formation and spatial learning. In contrast, ambroxol promoted synaptic integrity by upregulating the expression of SNAP-23 and PSD-95, thereby ameliorating scopolamine-induced impairments in spatial learning and memory.…”
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  19. 79

    GLIHamba: global–local context image harmonization based on Mamba by Jinsheng SUN, Jiao PAN, Yu GUO, Chao YAO

    Published 2025-07-01
    “…In recent years, harmonization methods based on deep learning have achieved significant progress. Pixel-wise matching methods utilize convolutional encoder-decoder models to learn the transformations from background to foreground pixel features. …”
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  20. 80

    Students field independent-dependent solving surface area of square pyramid: Commognitive perspective by Ing Diar Maswal Ningrum, Rita Lefrida, Pathuddin, Alfisyahra

    Published 2024-12-01
    “…The findings indicate that FI students approach problem-solving with greater detail, clarity, efficiency, and accuracy, explicitly demonstrating all four aspects of commognition. …”
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