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检索条件"丛书名=Lecture notes in artificial intelligence,"
57438 条 记 录,以下是4881-4890 订阅
排序:
Creating High-Resolution Adversarial Images Against Convolutional Neural Networks with the Noise Blowing-Up Method  15th
Creating High-Resolution Adversarial Images Against Convolut...
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15th Asian Conference on Intelligent Information and Database Systems (ACIIDS)
作者: Leprevost, Franck Topal, Ali Osman Mancellari, Enea Univ Luxembourg House Numbers6Ave Fonte L-4364 Esch Sur Alzette Luxembourg
Convolutional Neural Networks (CNNs) are widely used for image recognition tasks but are vulnerable to attacks. Most existing attacks create adversarial images of a size equal to the CNN's input size;mainly becaus...
来源: 评论
Learning from Patterns via Pre-trained Masked Language Model for Semi-supervised Automated Essay Scoring  19th
Learning from Patterns via Pre-trained Masked Language Model...
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19th International Conference on Advanced Intelligent Computing Technology and Applications (ICIC)
作者: Sun, Jingbo Peng, Weiming Song, Tianbao Song, Jihua Beijing Normal Univ Sch Artificial Intelligence Beijing 100875 Peoples R China Beijing Normal Univ Chinese Character Res & Applicat Lab Beijing 100875 Peoples R China Univ Penn Linguist Data Consortium Philadelphia PA 19104 USA Beijing Technol & Business Univ Sch Comp Sci & Engn Beijing 100048 Peoples R China
Automated essay scoring is one of the key applications of natural language processing technology in the field of education. Currently, pre-trained language models for automated essay scoring systems have no significan...
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Improvement of Graph Convolution Network of Missing Data Based on P Systems  1
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19th International Conference on Advanced Intelligent Computing Technology and Applications (ICIC)
作者: Chi, Runpu Liu, Xiyu Shandong Normal Univ Business Sch Jinan Peoples R China Shandong Normal Univ Acad Management Sci Jinan Peoples R China
The graph convolutional network has achieved great success since its proposal. Since GCN can be used to study non-Euclidean data, it extends convolutional networks for real-world applications. Graph data is a prevalen...
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Network Flow Based IoT Anomaly Detection Using Graph Neural Network  1
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16th International Conference on Knowledge Science, Engineering and Management (KSEM)
作者: Wei, Chongbo Xie, Gaogang Diao, Zulong Chinese Acad Sci Inst Comp Technol Beijing Peoples R China Univ Chinese Acad Sci Beijing Peoples R China Chinese Acad Sci Comp Network Informat Ctr Beijing Peoples R China Purple Mt Labs Nanjing Peoples R China
Deep learning-based traffic anomaly detection methods are usually fed with high-dimensional statistical features. The greatest challenges are how to detect complex inter-feature relationships and localize and explain ...
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A Rule-Free Approach for Cardiological Registry Filling from Italian Clinical notes with Question Answering Transformers  21st
A Rule-Free Approach for Cardiological Registry Filling from...
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21st International Conference on artificial intelligence in Medicine (AIME)
作者: Buonocore, Tommaso Mario Parimbelli, Enea Tibollo, Valentina Napolitano, Carlo Priori, Silvia Bellazzi, Riccardo Univ Pavia Dept Elect Comp & Biomed Engn Pavia Italy ICS Maugeri Dept Mol Med LISRC Pavia Italy ICS Maugeri Dept Mol Cardiol Pavia Italy
The huge volume of textual information generated in hospitals constitutes an essential but underused asset that could be exploited to improve patient care and management. The encoding of raw medical texts into fixed d...
来源: 评论
Towards Memory-Efficient Training for Extremely Large Output Spaces - Learning with 670k Labels on a Single Commodity GPU
Towards Memory-Efficient Training for Extremely Large Output...
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5th International Workshop on Learning with Imbalanced Domains - Theory and Applications / European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD)
作者: Schultheis, Erik Babbar, Rohit Aalto Univ Espoo Finland Univ Bath Bath Avon England
In classification problems with large output spaces (up to millions of labels), the last layer can require an enormous amount of memory. Using sparse connectivity would drastically reduce the memory requirements, but ...
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Transformer Based Motion In-Betweening  1
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21st International Conference of the Italian-Association-for-artificial-intelligence (AIxIA)
作者: Sridhar, Pavithra Aananth, V. Aggarwal, Madhav Velusamy, R. Leela Natl Inst Technol Tiruchirappalli Tiruchirappalli 620015 TN India
In-betweening is the process of drawing transition frames between temporally-sparse keyframes to create a smooth animation sequence. This work presents a novel transformer-based in-betweening technique that serves as ...
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A New Calculus for Intuitionistic Strong Lob Logic: Strong Termination and Cut-Elimination, Formalised  32nd
A New Calculus for Intuitionistic Strong Lob Logic: Strong T...
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32nd International Conference on Automated Reasoning with Analytic Tableaux and Related Methods (TABLEAUX)
作者: Shillito, Ian van der Giessen, Iris Gore, Rajeev Iemhoff, Rosalie Australian Natl Univ Canberra Australia Univ Birmingham Birmingham England Vienna Univ Technol Vienna Austria Polish Acad Sci Warsaw Poland Univ Utrecht Utrecht Netherlands
We provide a new sequent calculus that enjoys syntactic cut-elimination and strongly terminating backward proof search for the intuitionistic Strong Lob logic iSL, an intuitionistic modal logic with a provability inte...
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ADAM: A Prototype of Hierarchical Neuro-Symbolic AGI  16th
ADAM: A Prototype of Hierarchical Neuro-Symbolic AGI
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16th International Conference on artificial General intelligence (AGI)
作者: Shumsky, Sergey Baskov, Oleg Moscow Inst Phys & Technol Dolgoprudnyi 141701 Russia
Intelligent agents are characterized primarily by their farsighted expedient behavior. We present a working prototype of an intelligent agent (ADAM) based on a novel hierarchical neuro-symbolic architecture (Deep Cont...
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Boosting Definability Bipartition Computation Using SAT Witnesses  18th
Boosting Definability Bipartition Computation Using SAT Witn...
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18th European Conference on Logics in artificial intelligence (JELIA)
作者: Lagniez, Jean-Marie Marquis, Pierre Univ Artois CNRS CRIL Lens France Inst Univ France Paris France
Bipartitioning the set of variables Var (Sigma) of a propositional formula Sigma w.r.t. definability consists in pointing out a bipartition of Var (Sigma) such that S defines the variables of O (outputs) in terms of ...
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