1,720,962 research outputs found
Teach sample-specific knowledge: Separated distillation based on samples
No full textRecent advancements in deep neural networks have revolutionized computer vision, enabling practical applications like classification and object detection. However, deploying these models on resource-constrained devices remains a critical challenge due to their high computational demands. Knowledge Distillation (KD) has emerged as an effective technique to address this issue by transferring knowledge from complex teacher models to lightweight student models, enhancing efficiency while maintaining high performance. Traditional logit-based KD methods use forward Kullback-Leibler divergence (FKLD) to transfer meaningful knowledge. However, FKLD typically exhibits a mode-averaging property, causing students to focus on non-target information, whether the teacher's samples are correct or incorrect. Additionally, when handling uncertain samples, even teacher models may fail to classify them accurately, leading to incorrect predictions and confusing the students. To address these issues, we classify the dataset into two groups based on the teacher's predictions: correct and incorrect samples. To ensure a more reliable transfer of knowledge from teacher to student for correct samples, we employ both forward Kullback-Leibler divergence (FKLD) and reverse Kullback-Leibler divergence (RKLD), which has mode-focusing properties. We also reduce temperature scaling for RKLD to enhance the focus on target information, ensuring that the student model prioritizes meaningful knowledge while minimizing the influence of non-target information. Conversely, for incorrect predictions, our method minimizes the teacher's knowledge, encouraging students to rely more on the true labels by focusing on cross-entropy loss. Experimental results on both classification and object detection tasks demonstrate that our method, Teach Sample-Specific Knowledge (TSSK), outperforms state-of-the-art KD methods, making it ideal for deployment on-devices in real-world scenarios.
Maximizing discrimination capability of knowledge distillation with energy function
No full textTo apply the latest computer vision techniques that require a large computational cost in real industrial applications, knowledge distillation methods (KDs) are essential. Existing logit-based KDs apply the constant temperature scaling to all samples in dataset, limiting the utilization of knowledge inherent in each sample individually. In our approach, we classify the dataset into two categories (i.e., low energy and high energy samples) based on their energy score. Through experiments, we have confirmed that low energy samples exhibit high confidence scores, indicating certain predictions, while high energy samples yield low confidence scores, meaning uncertain predictions. To distill optimal knowledge by adjusting non -target class predictions, we apply a higher temperature to low energy samples to create smoother distributions and a lower temperature to high energy samples to achieve sharper distributions. When compared to previous logit-based and feature -based methods, our energy -based KD (Energy KD) achieves better performance on various datasets. Especially, Energy KD shows significant improvements on CIFAR-100-LT and ImageNet datasets, which contain many challenging samples. Furthermore, we propose high energy -based data augmentation (HE -DA) for further improving the performance. We demonstrate that higher performance improvement could be achieved by augmenting only a portion of the dataset rather than the entire dataset, suggesting that it can be employed on resource -limited devices. To the best of our knowledge, this paper represents the first attempt to make use of energy function in knowledge distillation and data augmentation, and we believe it will greatly contribute to future research.
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Full text link“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Full text linkWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
Full text linkWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
Histoire de la Corée moderne
Full text linkAlain Delissen, directeur d’études Histoire sociale de la Corée coloniale Après quelques séances liminaires consacrées à des travaux récents d’histoire de la Corée coloniale, menant du plus général à l’historiographie du droit civil et des coutumes (Marie Kim Seonghak), le séminaire a repris un fil qu’il avait commencé à démêler en 2008-2009 : la question foncière. À Séoul, elle demeure remarquablement apte à révéler les forces et acteurs à l’œuvre dans la grande transformation urbaine qui s’..
koamabayili/VECTRON-author-checklist: VECTRON author checklist
No full textWe have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
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