Ijcai 2019 accepted papers. IJCAI 2019

Discussion in '2019' started by Faetaxe , Saturday, March 19, 2022 5:24:44 AM.

  1. Tygojas

    Tygojas

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    Vardi Rice University. Disentangled Spatiotemporal Graph Generative Model. We present an approach to avert the data misalignment problem and faithfully preserve pose, expression and identity information during cross-spectral face hallucination. The present paper shows that topic modeling with pre-trained word embedding vectors can be viewed as implementing a neighborhood aggregation algorithm where messages are passed through a network defined over words. Furthermore, it provides modern infrastructure and a choice from thousands of rooms in a suite of hotels, bars and lounges, theatres, shopping malls, etc. Paper ID: - How to select one preferred assertional-based repair from inconsistent and uncertain Description Logic knowledge bases? Pattern Recognitionimpact factor: 7.
     
  2. Tygoshakar

    Tygoshakar

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    An Efficient Algorithm for Skeptical Preferred Acceptance in Dynamic Argumentation Frameworks: Gianvincenzo Alfano, Sergio Greco, Francesco Parisi.In this paper, we introduce a novel coarse-to-fine framework, which decomposes vehicle detection into segmentation-based vehicle localization and generalized zero-shot vehicle classification.
     
  3. Gurn

    Gurn

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    Abstract submission deadline: February 19, (PM UTC) · Paper submission deadline February 25, (PM UTC) · Rebuttal period: April 15, In this paper, we propose to capture the shared information on the one hand and meta-learn how to quickly abstract the specific information about a task on the other hand.
    Ijcai 2019 accepted papers. Artificial Intelligence. IJCAI 2019 International Workshops
     
  4. Samukazahn

    Samukazahn

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    Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, IJCAI , Macao, China, August We propose shallow model trees as a way to combine simple and highly transparent predictive models for higher predictive power without losing the transparency of the original models.
     
  5. Moogutilar

    Moogutilar

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    NeSy'19 @ IJCAI forum? Twenty-eighth IJCAI (IJCAI ). Macao Proceedings Twenty-seventh IJCAI (IJCAI-ECAI ). Stockholm Proceedings Twenty-sixth IJCAI.In this study we propose the first privacy-preserving DCOP algorithm that is immune against coalitions, under the assumption of honest majority.
     
  6. Yozshum

    Yozshum

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    In this paper we devise an efficient algorithm for computing the skeptical preferred acceptance in dynamic AFs. 4, Strategic Signaling for.We introduce Interpolation Consistency Training ICTa simple and computation efficient algorithm for training Deep Neural Networks in the semi-supervised learning paradigm.
     
  7. Nikoramar

    Nikoramar

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    IJCAI Accepted papers Paper ID: 51 - Modeling Mention, Context and Entity with Neural Networks for Entity Disambiguation.In this paper, we approach user profiling in a semi-supervised manner, developing a generic solution based on heterogeneous graph learning.
     
  8. Kelkree

    Kelkree

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    Macao, China, August 10–12, , Revised Selected Best Papers · Amal El Fallah Seghrouchni · David Sarne.In this paper, we show for the first time that saliency detection problem can be reformulated as two sub-problems: light field synthesis from a single view and light-field-driven saliency detection.
    Ijcai 2019 accepted papers. Paper accepted at IJCAI 2019
     
  9. Nagami

    Nagami

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    The paper Enumerating Potential Maximal Cliques via SAT and ASP by Tuukka Korhonen, Jeremias Berg, and Matti Järvisalo of the Constraint.Network Embedding with Dual Generation Tasks.
     
  10. Samuzragore

    Samuzragore

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    on Artificial Intelligence, IJCAI , Macao, China, August , [doi] · An Efficient Algorithm for Skeptical Preferred Acceptance in.Augmenting Transfer Learning with Semantic Reasoning.
     
  11. Kazilmaran

    Kazilmaran

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    Abstract deadline, February 19, + ; Acceptance rate, + ; Accepted papers, + ; Acronym, IJCAI + ; Attendance fee currency, $ +.We provide a quantitative analysis using methods from the theory of approximation algorithms and estimate how well multi-winner rules approximate two extreme objectives: diversity as captured by the Approval Chamberlin—Courant rule and individual excellence as captured by Multi-winner Approval Voting.
     
  12. Vudonos

    Vudonos

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    Our papers have been accepted at IJCAI, a major coference on artificial intelligence (August 10–16, , Macao, China).At least one author of each accepted paper is expected to represent it at the workshop.
     
  13. Tejinn

    Tejinn

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    () as well as manager () of the machine learning group. One paper accepted to IJCAI A comparative study of distributional.In this paper, we propose to learn image-specific attributes by graph-based attribute propagation.
     
  14. Gardakus

    Gardakus

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    Social Good. IJCAI Workshop. Home Accepted Papers Call for Papers Invited Speakers Organization Program Travel Awards Submission deadline: May Travel.Deadline: July 15,
     
  15. Voshicage

    Voshicage

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    Neurocomputing (Impact Factor: ), accepted. [paper] [code]. WWW (IJCAI ), (acceptance rate: %), accepted, Macao, China, Aug In this work, we propose to approximate Bayesian neural networks BNN by Gaussian processes GPwhich allows us to update the uncertainty estimates of predictions efficiently without retraining the neural network while avoiding overconfident uncertainty prediction for out-of-sample points.
     
  16. Faemuro

    Faemuro

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    Welcome to IJCAI-19 forum? IJCAI Conference Affective Computing Workshop August 10th, Macao, China 3rd IJCAI Workshop on Artificial Intelligence in Affective Computing.This paper makes four contributions towards the goal of a computationally-efficient inference and training approach for structured prediction that allows to employ complex models and to optimize for non-decomposable loss functions.
     
  17. Nekazahn

    Nekazahn

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    Accepted Papers · Adam Richardson, Aris Filos-Ratsikas and Boi Faltings. · Aleksei Triastcyn and Boi Faltings. · Bo Li, Kele Xu, Haibo Mi, Dawei Feng, Huaimin Wang.Indirect Trust is Simple to Establish.
     
  18. Mautaxe

    Mautaxe

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    AI for Social Good at IJCAI 2019 forum? The paper “Indirect Trust is Simple to Establish” by Elham Parhizkar, Mohammad Hossein Nikravan, and Sandra Zilles has been accepted at IJCAI In this paper, we present CensNet, Convolution with Edge-Node Switching graph neural network, for semi-supervised classification and regression in graph-structured data with both node and edge features.
     
  19. Tojazilkree

    Tojazilkree

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    IJCAI Workshop Call for Submissions ; W1. Human-oriented Intelligent Defence Against Malware Threats. (HIDAMT). Aug 10 ; W4. Financial Technology and Natural.To address this problem, we propose the Weakly Supervision Enhanced Generative Network WeGen which automatically discovers relevant features of the passage given the answer span in a weakly supervised manner to improve the quality of generated questions.
     
  20. Samuzshura

    Samuzshura

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    [Publications]: May 10, , one paper was accepted by the International Joint Conference on Artificial Intelligence (IJCAI ) as oral, Macao, China.We also use third-party cookies that help us analyze and understand how you use this website.
    Ijcai 2019 accepted papers. Past Proceedings
     
  21. Kazikus

    Kazikus

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    NeSy'19 @ IJCAI The NeSy'19 Unofficial Proceedings including all accepted papers are available for download here!On the Efficiency and Equilibria of Rich Ads.
     
  22. Vurg

    Vurg

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    Hypergraph Induced Convolutional Manifold Networks.
     
  23. Samuramar

    Samuramar

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    To the best of our knowledge, there is no publically available dataset to test comparative methods, we therefore construct a new dataset to fill this gap of evaluation.
     
  24. Dot

    Dot

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    In this paper, we mine the topic knowledge of a relation to explicitly represent the semantics of this relation, and model relation extraction as a matching problem.
     
  25. Nezshura

    Nezshura

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    To deal with this challenge, we propose a novel Profit-driven Task Assignment PTA problem, which aims to maximize the profit of the platform.Forum Ijcai 2019 accepted papers
     
  26. Tekazahn

    Tekazahn

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    In this paper, we analyze gradient descent and stochastic gradient descent with extrapolation for finding an approximate first-order stationary point in smooth non-convex optimization problems.
     
  27. Nizragore

    Nizragore

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    In this work, we address this problem through the lens of social choice, and present a theoretical framework for strategyproof and efficient peer review.
     
  28. Telkis

    Telkis

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    To solve both issues, we propose CAMIT, a novel method for translating in an interactive environment.Forum Ijcai 2019 accepted papers
     
  29. Mazurisar

    Mazurisar

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    Amir A.
     
  30. Mazukora

    Mazukora

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    Nunamaker, V.
     
  31. Dazragore

    Dazragore

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    In this work we address this limitation by performing an analysis of the abstraction with respect to the collection, and show how to obtain formal guarantees for generalization.
    Ijcai 2019 accepted papers. Affective Computing Workshop 2019
     
  32. Gazil

    Gazil

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    We propose an efficient two-step algorithm for this framework, where the entangled kernel is learned based on a novel extension of kernel alignment to operator-valued kernels.
     
  33. Tygotilar

    Tygotilar

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    In this paper, we propose a novel deep adversarial framework to explore the shape and temporal dependencies from both appearance level and target label level.
     
  34. Guzilkree

    Guzilkree

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    The basic ideas are presented by simple case studies ranging from learning and inference in social nets, missing data, checking of logic constraints, and pattern generation.
     
  35. Arashikasa

    Arashikasa

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    In this paper, we address this limitation by mathematically bounding the unidentifiable counterfactual quantity, and develop a theoretically sound algorithm for constructing counterfactually fair classifiers.
     
  36. Akikazahn

    Akikazahn

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    To align the sign language actions and translate them into the respective words automatically, this paper proposes a dense temporal convolution network, termed DenseTCN which captures the actions in hierarchical views.
     
  37. Kajimuro

    Kajimuro

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    In this paper, we introduce a general ensemble-based framework to efficiently combine results from multiple variable screening methods.
     
  38. Kakora

    Kakora

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    Shi, Y.
     
  39. Nelar

    Nelar

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    We introduce the Deep Variational Koopman DVK model, a method for inferring distributions over observations that can be propagated linearly in time.
     
  40. JoJorr

    JoJorr

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    Moreover, leveraging our gradient-based attack, we propose the first optimization-based adversarial training for GNNs.
     
  41. Bakora

    Bakora

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    To fully explore the limited pixel-level annotations from scribbles, we present a novel Boundary Perception Guidance BPG approach, which consists of two basic components, i.
     
  42. Tojagul

    Tojagul

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    In this paper we introduce a method for obtaining better results, by augmenting the features in the dataset between the iterations of GBDT.
     
  43. Mikagami

    Mikagami

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    Hauptmann Carnege Mellon University .
     
  44. Tasida

    Tasida

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    To tackle these problems, we propose a fast hierarchical convolutional self-attention encoder-decoder network.
     
  45. Daik

    Daik

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    In this work, we propose belief propagation networks BPNa novel approach to train a deep neural network in a hard inductive setting, where the test data are given without neighborhood information.
     

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