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检索条件"任意字段=35th Conference on Current Trends in Theory and Practice of Computer Science"
263 条 记 录,以下是251-260 订阅
排序:
HCI Supporting Food and Wine Futures: Fostering Community Resilience through Reflective practice  23
HCI Supporting Food and Wine Futures: Fostering Community Re...
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Proceedings of the 35th Australian computer-Human Interaction conference
作者: Jeni Paay Hilary Davis Axel Munoz Rivas Yvonne Rogers Margot Brereton Centre for Design Innovation Swinburne University of Technology Australia Centre for Social Impact Swinburne University of Technology Australia UCLIC University College London United Kingdom School of Computer Science Queensland University of Technology Australia
In this full-day workshop we will identify opportunities for HCI to support the Australian and New Zealand food and wine industries to become more future ready while recognising and preserving cultural heritage. We wi... 详细信息
来源: 评论
Better algorithms for individually fair k-clustering  21
Better algorithms for individually fair k-clustering
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Proceedings of the 35th International conference on Neural Information Processing Systems
作者: Deeparnab Chakrabarty Maryam Negahbani Department of Computer Science Dartmouth College Hanover NH
We study data clustering problems with ℓp-norm objectives (e.g. k-MEDIAN and k-MEANS) in the context of individual fairness. the dataset consists of n points, and we want to find k centers such that (a) the objective ...
来源: 评论
Crowdsourcing Contest Dilemma Game with Unreliable channels
Crowdsourcing Contest Dilemma Game with Unreliable channels
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35届中国控制会议
作者: Qing Dai Jianfeng Lu Changbing Tang DewuXu Hao Peng Department of Computer Science and Engineering Zhejiang Normal University
the Internet has caused the skills of world wide-scale collective problem solving,which is known as crowdsourcing that connects the individuals around the world to cooperate and solve the multifarious complex ***,due ... 详细信息
来源: 评论
Two sides of meta-learning evaluation: in vs. out of distribution  21
Two sides of meta-learning evaluation: in vs. out of distrib...
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Proceedings of the 35th International conference on Neural Information Processing Systems
作者: Amrith Setlur Oscar Li Virginia Smith Language Technologies Institute School of Computer Science Carnegie Mellon University Machine Learning Department School of Computer Science Carnegie Mellon University
We categorize meta-learning evaluation into two settings: in-distribution [ID], in which the train and test tasks are sampled iid from the same underlying task distribution, and out-of-distribution [OOD], in which the...
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Statistical inference with M-estimators on adaptively collected data  21
Statistical inference with M-estimators on adaptively collec...
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Proceedings of the 35th International conference on Neural Information Processing Systems
作者: Kelly W. Zhang Lucas Janson Susan A. Murphy Department of Computer Science Harvard University Departments of Statistics Harvard University Departments of Statistics and Computer Science Harvard University
Bandit algorithms are increasingly used in real-world sequential decision-making problems. Associated with this is an increased desire to be able to use the resulting datasets to answer scientific questions like: Did ...
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Proxy convexity: a unified framework for the analysis of neural networks trained by gradient descent  21
Proxy convexity: a unified framework for the analysis of neu...
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Proceedings of the 35th International conference on Neural Information Processing Systems
作者: Spencer Frei Quanquan Gu Simons Institute for the Theory of Computing University of California Berkeley Department of Computer Science University of California Los Angeles
Although the optimization objectives for learning neural networks are highly non-convex, gradient-based methods have been wildly successful at learning neural networks in practice. this juxtaposition has led to a numb...
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Mitigating covariate shift in imitation learning via offline data without great coverage  21
Mitigating covariate shift in imitation learning via offline...
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Proceedings of the 35th International conference on Neural Information Processing Systems
作者: Jonathan D. Chang Masatoshi Uehara Dhruv Sreenivas Rahul Kidambi Wen Sun Department of Computer Science Cornell University Amazon Search & AI
this paper studies offline Imitation Learning (IL) where an agent learns to imitate an expert demonstrator without additional online environment interactions. Instead, the learner is presented with a static offline da...
来源: 评论
Rough Sets and Intelligent Systems Paradigms: Second International conference, RSEISP 2014, Held as Part of JRS 2014, Granada and Madrid, Spain, July 9-13, 2014. Proceedings  1
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丛书名: Lecture Notes in computer science 8537 Lecture Notes in Artificial Intelligence
2014年
作者: Marzena Kryszkiewicz, Chris Cornelis, Davide Ciucci, Jesús Medina-Moreno, Hiroshi Motoda, Zbigniew W. Raś (eds.)
this book constitutes the refereed proceedings of the 23rd Australasian Joint conference on Rough Sets and Intelligent Systems Paradigms, RSEISP 2014, held in Granada and Madrid, Spain, in July 2014. RSEISP 2014 was h...
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Fast projection onto the capped simplex with applications to sparse regression in bioinformatics  21
Fast projection onto the capped simplex with applications to...
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Proceedings of the 35th International conference on Neural Information Processing Systems
作者: Andersen Ang Jianzhu Ma Nianjun Liu Kun Huang Yijie Wang Dept. of Combinatorics and Optimization University of Waterloo Institute for Artificial Intelligence Peking University Dept. of Epidemiology and Biostatistics Indiana University Bloomington Dept. of Biostatistics and Health Data Science Indiana University Dept. of Computer Science Indiana University Bloomington
We consider the problem of projecting a vector onto the so-called k-capped simplex, which is a hyper-cube cut by a hyperplane. For an n-dimensional input vector with bounded elements, we found that a simple algorithm ...
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Labeling trick: a theory of using graph neural networks for multi-node representation learning  21
Labeling trick: a theory of using graph neural networks for ...
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Proceedings of the 35th International conference on Neural Information Processing Systems
作者: Muhan Zhang Pan Li Yinglong Xia Kai Wang Long Jin Institute for Artificial Intelligence Peking University and Beijing Institute for General Artificial Intelligence Department of Computer Science Purdue University Facebook AI
In this paper, we provide a theory of using graph neural networks (GNNs) for multi-node representation learning (where we are interested in learning a representation for a set of more than one node, such as link). We ...
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