Daniel Kifer
Orcid: 0000-0002-4611-7066Affiliations:
- Pennsylvania State University, University Park, USA
According to our database1,
Daniel Kifer
authored at least 127 papers
between 2003 and 2024.
Collaborative distances:
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Online presence:
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on orcid.org
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on cse.psu.edu
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on dl.acm.org
On csauthors.net:
Bibliography
2024
Stability Analysis of Various Symbolic Rule Extraction Methods from Recurrent Neural Network.
CoRR, 2024
PatchRefineNet: Improving Binary Segmentation by Incorporating Signals from Optimal Patch-wise Binarization.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024
2023
Free gap estimates from the exponential mechanism, sparse vector, noisy max and related algorithms.
VLDB J., January, 2023
Proc. VLDB Endow., 2023
Disclosure Avoidance for the 2020 Census Demographic and Housing Characteristics File.
CoRR, 2023
On the Computational Complexity and Formal Hierarchy of Second Order Recurrent Neural Networks.
CoRR, 2023
On the Tensor Representation and Algebraic Homomorphism of the Neural State Turing Machine.
CoRR, 2023
CoRR, 2023
Differentiable modeling to unify machine learning and physical models and advance Geosciences.
CoRR, 2023
An Optimal and Scalable Matrix Mechanism for Noisy Marginals under Convex Loss Functions.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
Constructing a Large-Scale Landslide Database Across Heterogeneous Environments Using Task-Specific Model Updates.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022
CoRR, 2022
Bayesian and Frequentist Semantics for Common Variations of Differential Privacy: Applications to the 2020 Census.
CoRR, 2022
CoRR, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Neural JPEG: End-to-End Image Compression Leveraging a Standard JPEG Encoder-Decoder.
Proceedings of the Data Compression Conference, 2022
2021
Proc. VLDB Endow., 2021
Scaling up Differentially Private Deep Learning with Fast Per-Example Gradient Clipping.
Proc. Priv. Enhancing Technol., 2021
The Permute-and-Flip Mechanism is Identical to Report-Noisy-Max with Exponential Noise.
CoRR, 2021
CoRR, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Investigating Backpropagation Alternatives when Learning to Dynamically Count with Recurrent Neural Networks.
Proceedings of the 15th International Conference on Grammatical Inference, 2021
Recognizing Long Grammatical Sequences using Recurrent Networks Augmented with an External Differentiable Stack.
Proceedings of the 15th International Conference on Grammatical Inference, 2021
An Empirical Analysis of Recurrent Learning Algorithms in Neural Lossy Image Compression Systems.
Proceedings of the 31st Data Compression Conference, 2021
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021
Proceedings of the CCS '21: 2021 ACM SIGSAC Conference on Computer and Communications Security, Virtual Event, Republic of Korea, November 15, 2021
Recognizing and Verifying Mathematical Equations using Multiplicative Differential Neural Units.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
Continual Learning of Recurrent Neural Networks by Locally Aligning Distributed Representations.
IEEE Trans. Neural Networks Learn. Syst., 2020
Reducing the Computational Burden of Deep Learning with Recursive Local Representation Alignment.
CoRR, 2020
Follow The Curve: Arbitrarily Oriented Scene Text Detection Using Key Points Spotting And Curve Prediction.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2020
CheckDP: An Automated and Integrated Approach for Proving Differential Privacy or Finding Precise Counterexamples.
Proceedings of the CCS '20: 2020 ACM SIGSAC Conference on Computer and Communications Security, 2020
2019
ACM Trans. Intell. Syst. Technol., 2019
IEEE Trans. Big Data, 2019
Free Gap Information from the Differentially Private Sparse Vector and Noisy Max Mechanisms.
Proc. VLDB Endow., 2019
J. Priv. Confidentiality, 2019
Evaluating aleatoric and epistemic uncertainties of time series deep learning models for soil moisture predictions.
CoRR, 2019
Lifelong Neural Predictive Coding: Sparsity Yields Less Forgetting when Learning Cumulatively.
CoRR, 2019
TextContourNet: A Flexible and Effective Framework for Improving Scene Text Detection Architecture With a Multi-Task Cascade.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2019
Proceedings of the 40th ACM SIGPLAN Conference on Programming Language Design and Implementation, 2019
ET-Lasso: A New Efficient Tuning of Lasso-type Regularization for High-Dimensional Data.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019
Proceedings of the 30th British Machine Vision Conference 2019, 2019
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019
Adversarial Training for Community Question Answer Selection Based on Multi-Scale Matching.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
2018
Proceedings of the Encyclopedia of Database Systems, Second Edition, 2018
Proc. VLDB Endow., 2018
J. Priv. Confidentiality, 2018
Online Learning of Recurrent Neural Architectures by Locally Aligning Distributed Representations.
CoRR, 2018
Concentrated Differentially Private Gradient Descent with Adaptive per-Iteration Privacy Budget.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018
Proceedings of the 2018 ACM SIGSAC Conference on Computer and Communications Security, 2018
Proceedings of the Computer Vision - ACCV 2018, 2018
2017
Neural Comput., 2017
Learning to Extract Semantic Structure from Documents Using Multimodal Fully Convolutional Neural Network.
CoRR, 2017
Proceedings of the 44th ACM SIGPLAN Symposium on Principles of Programming Languages, 2017
Smart Library: Identifying Books on Library Shelves Using Supervised Deep Learning for Scene Text Reading.
Proceedings of the 2017 ACM/IEEE Joint Conference on Digital Libraries, 2017
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017
Proceedings of the 14th IAPR International Conference on Document Analysis and Recognition, 2017
Proceedings of the 14th IAPR International Conference on Document Analysis and Recognition, 2017
Learning to Extract Semantic Structure from Documents Using Multimodal Fully Convolutional Neural Networks.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017
Multi-scale FCN with Cascaded Instance Aware Segmentation for Arbitrary Oriented Word Spotting in the Wild.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017
Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017
2016
Smart Library: Identifying Books in a Library using Richly Supervised Deep Scene Text Reading.
CoRR, 2016
Unifying Adversarial Training Algorithms with Flexible Deep Data Gradient Regularization.
CoRR, 2016
Proceedings of the 2016 ACM Conference on Multimedia Conference, 2016
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016
Proceedings of the 24th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, GIS 2016, Burlingame, California, USA, October 31, 2016
Proceedings of the Computer Vision - ACCV 2016, 2016
2015
ACM Trans. Knowl. Discov. Data, 2015
Proceedings of the 30th Annual ACM/IEEE Symposium on Logic in Computer Science, 2015
Maximum Likelihood Postprocessing for Differential Privacy under Consistency Constraints.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015
2014
ACM Trans. Database Syst., 2014
2013
Information preservation in statistical privacy and bayesian estimation of unattributed histograms.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2013
Proceedings of the IEEE Global Conference on Signal and Information Processing, 2013
Proceedings of the Annual Computer Security Applications Conference, 2013
2012
Private Convex Optimization for Empirical Risk Minimization with Applications to High-dimensional Regression.
Proceedings of the COLT 2012, 2012
Proceedings of the 31st ACM SIGMOD-SIGACT-SIGART Symposium on Principles of Database Systems, 2012
Proceedings of the Conference Record of the Forty Sixth Asilomar Conference on Signals, 2012
2011
Proceedings of the Forth International Conference on Web Search and Web Data Mining, 2011
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2011
2010
Proceedings of the 19th International Conference on World Wide Web, 2010
Proceedings of the Twenty-Ninth ACM SIGMOD-SIGACT-SIGART Symposium on Principles of Database Systems, 2010
Proceedings of the 26th International Conference on Data Engineering, 2010
What Is an Opinion About? Exploring Political Standpoints Using Opinion Scoring Model.
Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence, 2010
2009
Proceedings of the Encyclopedia of Database Systems, 2009
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2009
2008
Proceedings of the 24th International Conference on Data Engineering, 2008
2007
ACM Trans. Knowl. Discov. Data, 2007
Proceedings of the 23rd International Conference on Data Engineering, 2007
2006
Graphs and Privacy.
PhD thesis, 2006
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2006
Proceedings of the 22nd International Conference on Data Engineering, 2006
2004
A Vision for PetaByte Data Management and Analyis Services for the Arecibo Telescope.
IEEE Data Eng. Bull., 2004
Proceedings of the (e)Proceedings of the Thirtieth International Conference on Very Large Data Bases, VLDB 2004, Toronto, Canada, August 31, 2004
Proceedings of the Constraint-Based Mining and Inductive Databases, 2004
2003
Data Min. Knowl. Discov., 2003