论文列表及评分结果

solo-learn: A Library of Self-supervised Methods for Visual Representation Learning.

电商所评分:6

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Inherent Tradeoffs in Learning Fair Representations.

电商所评分:6

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Data-dependent margin-based generalization bounds for classification.

电商所评分:5

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Using Confidence Bounds for Exploitation-Exploration Trade-offs.

电商所评分:4

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Kernel Independent Component Analysis.

电商所评分:6

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Matching Words and Pictures.

电商所评分:8

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Rademacher and Gaussian Complexities: Risk Bounds and Structural Results.

电商所评分:10

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Distributional Word Clusters vs. Words for Text Categorization.

电商所评分:6

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Limitations of Learning Via Embeddings in Euclidean Half Spaces.

电商所评分:8

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A Neural Probabilistic Language Model.

电商所评分:2

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Extensions to Metric-Based Model Selection.

电商所评分:8

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Dimensionality Reduction via Sparse Support Vector Machines.

电商所评分:1

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Latent Dirichlet Allocation.

电商所评分:2

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Efficient Algorithms for Decision Tree Cross-validation.

电商所评分:8

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Tracking a Small Set of Experts by Mixing Past Posteriors.

电商所评分:10

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R-MAX - A General Polynomial Time Algorithm for Near-Optimal Reinforcement Learning.

电商所评分:7

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Learning Monotone DNF from a Teacher that Almost Does Not Answer Membership Queries.

电商所评分:4

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On Boosting with Polynomially Bounded Distributions.

电商所评分:8

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Word-Sequence Kernels.

电商所评分:10

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Benefitting from the Variables that Variable Selection Discards.

电商所评分:5

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Variational Learning of Clusters of Undercomplete Nonsymmetric Independent Components.

电商所评分:4

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Optimal Structure Identification With Greedy Search.

电商所评分:5

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Ultraconservative Online Algorithms for Multiclass Problems.

电商所评分:2

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A Family of Additive Online Algorithms for Category Ranking.

电商所评分:4

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A Divisive Information-Theoretic Feature Clustering Algorithm for Text Classification.

电商所评分:4

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Multiple-Instance Learning of Real-Valued Data.

电商所评分:5

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An Extensive Empirical Study of Feature Selection Metrics for Text Classification.

电商所评分:6

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Minimal Kernel Classifiers.

电商所评分:2

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Learning Precise Timing with LSTM Recurrent Networks.

电商所评分:2

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Learning Probabilistic Models of Link Structure.

电商所评分:3

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