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HD-CNN: Hierarchical Deep Convolutional Neural Networks for Large Scale Visual Recognition.

, , , , , , and . ICCV, page 2740-2748. IEEE Computer Society, (2015)

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The Future of Chess-Playing Technologies and the Significance of Kasparov Versus deep Blue.. Deep Blue Versus Kasparov: The Significance for Artificial Intelligence, page 9-13. AAAI Press, (1997)Memory Efficient 3D U-Net with Reversible Mobile Inverted Bottlenecks for Brain Tumor Segmentation., , , , , and . BrainLes@MICCAI (2), volume 12659 of Lecture Notes in Computer Science, page 388-397. Springer, (2020)Information Visualization in Data Mining and Knowledge Discovery, , , , , and . chapter Visualizing data mining models, page 205--222. Morgan Kaufmann Publishers Inc., San Francisco, CA, USA, (2001)Collaborative prediction using ensembles of Maximum Margin Matrix Factorizations.. ICML, volume 148 of ACM International Conference Proceeding Series, page 249-256. ACM, (2006)Stochastic Weight Averaging in Parallel: Large-Batch Training That Generalizes Well., , and . ICLR, OpenReview.net, (2020)Naïve filterbots for robust cold-start recommendations., , , , and . KDD, page 699-705. ACM, (2006)Mining Multivariate Time-Series Sensor Data to Discover Behavior Envelopes.. KDD, page 151-154. AAAI Press, (1997)Anytime Query-Tuned Kernel Machines via Cholesky Factorization.. SDM, page 186-193. SIAM, (2003)Data Parameters: A New Family of Parameters for Learning a Differentiable Curriculum., , and . NeurIPS, page 11093-11103. (2019)Sparse Greedy Minimax Probability Machine Classification., , , and . NIPS, page 105-112. MIT Press, (2003)