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Learning to Extract Semantic Structure from Documents Using Multimodal Fully Convolutional Neural Network

X. Yang, E. Yumer, P. Asente, M. Kraley, D. Kifer, and C. Giles. (2017)cite arxiv:1706.02337Comment: CVPR 2017 Spotlight.

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Daniel

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The Permute-and-Flip Mechanism is Identical to Report-Noisy-Max with Exponential Noise.Z. Ding, D. Kifer, S. E., T. Steinke, Y. Wang, Y. Xiao, and D. Zhang. CoRR, (2021)Free Gap Estimates from the Exponential Mechanism, Sparse Vector, Noisy Max and Related Algorithms.Z. Ding, Y. Wang, Y. Xiao, G. Wang, D. Zhang, and D. Kifer. CoRR, (2020)Reconstruction Attacks on Aggressive Relaxations of Differential Privacy.P. Protivash, J. Durrell, Z. Ding, D. Zhang, and D. Kifer. CoRR, (2022)LightDP: towards automating differential privacy proofs.D. Zhang, and D. Kifer. POPL, page 888-901. ACM, (2017)Free gap estimates from the exponential mechanism, sparse vector, noisy max and related algorithms.Z. Ding, Y. Wang, Y. Xiao, G. Wang, D. Zhang, and D. Kifer. VLDB J., 32 (1): 23-48 (January 2023)Injecting utility into anonymized datasets.D. Kifer, and J. Gehrke. SIGMOD Conference, page 217-228. ACM, (2006)Neural JPEG: End-to-End Image Compression Leveraging a Standard JPEG Encoder-Decoder.A. Mali, A. II, D. Kifer, and C. Giles. DCC, page 471. IEEE, (2022)Dualminer: A dual-pruning algorithm for itemsets with constraintsC. Bucila, J. Gehrke, D. Kifer, and W. White. Data Mining and Knowledge Discovery, 7 (3): 241--272 (2003)DualMiner: A Dual-Pruning Algorithm for Itemsets with Constraints.C. Bucila, J. Gehrke, D. Kifer, and W. White. Data Min. Knowl. Discov., 7 (3): 241-272 (2003)CheckDP: An Automated and Integrated Approach for Proving Differential Privacy or Finding Precise Counterexamples.Y. Wang, Z. Ding, D. Kifer, and D. Zhang. CCS, page 919-938. ACM, (2020)

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Disambiguation of "Kifer, Daniel"

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Learning to Extract Semantic Structure from Documents Using Multimodal Fully Convolutional Neural Network

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Disambiguation of "Kifer, Daniel"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Learning to Extract Semantic Structure from Documents Using Multimodal Fully Convolutional Neural Network

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Daniel

Daniel

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Daniel Wied

Daniel Dirkmann

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Learning to Extract Semantic Structure from Documents Using Multimodal Fully Convolutional Neural Network