173 results on '"Laurens van der Maaten"'
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52. Certified Data Removal from Machine Learning Models.
53. Privacy-Preserving Contextual Bandits.
54. Measuring Dataset Granularity.
55. Self-Supervised Learning of Pretext-Invariant Representations.
56. Binary Image Selection (BISON): Interpretable Evaluation of Visual Grounding.
57. Speeding Up Tracking by Ignoring Features.
58. Improving Object Tracking by Adapting Detectors.
59. Hybrid Kinect Depth Map Refinement for Transparent Objects.
60. Stereo Similarity Metric Fusion Using Stereo Confidence.
61. Graph-Based Kinship Recognition.
62. Feature Denoising for Improving Adversarial Robustness.
63. Anytime Stereo Image Depth Estimation on Mobile Devices.
64. Automatic Thread-Level Canvas Analysis: A machine-learning approach to analyzing the canvas of paintings.
65. Adaptive stereo similarity fusion using confidence measures.
66. Structure Preserving Object Tracking.
67. Learning with Marginalized Corrupted Features.
68. Stochastic triplet embedding.
69. Accelerating Cost Aggregation for Real-Time Stereo Matching.
70. Improving segment based stereo matching using SURF key points.
71. Audio-visual emotion challenge 2012: a simple approach.
72. Learning Discriminative Fisher Kernels.
73. On Herding and the Perceptron Cycling Theorem.
74. Latent Variable Models for Predicting File Dependencies in Large-Scale Software Development.
75. Capturing appearance variation in active appearance models.
76. Deep Supervised t-Distributed Embedding.
77. Learning by Asking Questions.
78. Multi-Scale Dense Convolutional Networks for Efficient Prediction.
79. Memory-Efficient Implementation of DenseNets.
80. Submanifold Sparse Convolutional Networks.
81. Separating Self-Expression and Visual Content in Hashtag Supervision.
82. 3D Semantic Segmentation with Submanifold Sparse Convolutional Networks.
83. Countering Adversarial Images using Input Transformations.
84. CondenseNet: An Efficient DenseNet using Learned Group Convolutions.
85. Accelerating t-SNE using tree-based algorithms.
86. Preserving Structure in Model-Free Tracking.
87. Off-Line Learning with Transductive Confidence Machines: An Empirical Evaluation.
88. Improving automatic writer identification.
89. Introduction to the special issue on visual analytics using multidimensional projections.
90. Divvy: fast and intuitive exploratory data analysis.
91. Secure multiparty computations in floating-point arithmetic
92. Persistent self-supervised learning principle: from stereo to monocular vision for obstacle avoidance.
93. Learning Visual N-Grams from Web Data.
94. Modeling Time Series Similarity with Siamese Recurrent Networks.
95. CLEVR: A Diagnostic Dataset for Compositional Language and Elementary Visual Reasoning.
96. Analyzing floristic inventories with multiple maps.
97. Visualizing non-metric similarities in multiple maps.
98. Action unit classification using active appearance models and conditional random fields.
99. Hidden-Unit Conditional Random Fields.
100. Learning a Parametric Embedding by Preserving Local Structure.
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