开课单位--康奈尔大学
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From Word Embeddings To Document Distances[从词嵌入到文档距离]
Matt J. Kusner(康奈尔大学) We present the Word Mover’s Distance (WMD), a novel distance function between text documents. Our work is based on recent results in word embedd...
热度:9
Matt J. Kusner(康奈尔大学) We present the Word Mover’s Distance (WMD), a novel distance function between text documents. Our work is based on recent results in word embedd...
热度:9
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Compressing Neural Networks with the Hashing Trick[使用哈希技巧压缩神经网络]
Kilian Q. Weinberger(康奈尔大学) As deep nets are increasingly used in applications suited for mobile devices, a fundamental dilemma becomes apparent: the trend in deep learning is to...
热度:16
Kilian Q. Weinberger(康奈尔大学) As deep nets are increasingly used in applications suited for mobile devices, a fundamental dilemma becomes apparent: the trend in deep learning is to...
热度:16
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Clustered Graph Randomization: Network Exposure to Multiple Universes[聚类图随机化:多个普遍性下的网络暴露]
Johan Ugander(康奈尔大学) A/B testing is a standard approach for evaluating the effect of online experiments; the goal is to estimate the `average treatment effect' of a ne...
热度:19
Johan Ugander(康奈尔大学) A/B testing is a standard approach for evaluating the effect of online experiments; the goal is to estimate the `average treatment effect' of a ne...
热度:19
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Efficient Active Learning[高效主动学习]
Nikos Karampatziakis(康奈尔大学) We present and analyze an active learning algorithm that is theoretically sound in an agnostic setting, empirically effective, and as efficient as sta...
热度:17
Nikos Karampatziakis(康奈尔大学) We present and analyze an active learning algorithm that is theoretically sound in an agnostic setting, empirically effective, and as efficient as sta...
热度:17
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Opinion Dynamics with Varying Susceptibility to Persuasion[具有不同说服易感性的意见动力学]
Rediet Abebe(康奈尔大学) A long line of work in social psychology has studied variations in people’s susceptibility to persuasion – the extent to which they are wi...
热度:33
Rediet Abebe(康奈尔大学) A long line of work in social psychology has studied variations in people’s susceptibility to persuasion – the extent to which they are wi...
热度:33
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Additive Groves of Regression Trees[回归树的加法群]
Daria Sorokina(康奈尔大学) Additive Groves of Regression Trees
热度:25
Daria Sorokina(康奈尔大学) Additive Groves of Regression Trees
热度:25
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DBToaster: Aggressive Compilation Techniques for Online Aggregation[DBToaster:用于在线聚合的攻击性编译技术]
Christoph Koch(康奈尔大学) DBToaster: Aggressive Compilation Techniques for Online Aggregation
热度:18
Christoph Koch(康奈尔大学) DBToaster: Aggressive Compilation Techniques for Online Aggregation
热度:18
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