Issei Sato
According to our database1,
Issei Sato
authored at least 126 papers
between 2006 and 2024.
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Bibliography
2024
End-to-End Training Induces Information Bottleneck through Layer-Role Differentiation: A Comparative Analysis with Layer-wise Training.
CoRR, 2024
2023
CoRR, 2023
Are Transformers with One Layer Self-Attention Using Low-Rank Weight Matrices Universal Approximators?
CoRR, 2023
On the Overlooked Pitfalls of Weight Decay and How to Mitigate Them: A Gradient-Norm Perspective.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
2022
Excess risk analysis for epistemic uncertainty with application to variational inference.
CoRR, 2022
Goldilocks-curriculum Domain Randomization and Fractal Perlin Noise with Application to Sim2Real Pneumonia Lesion Detection.
CoRR, 2022
CoRR, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022
Proceedings of the International Conference on Machine Learning, 2022
Proceedings of the Tenth International Conference on Learning Representations, 2022
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022
2021
Artificial Neural Variability for Deep Learning: On Overfitting, Noise Memorization, and Catastrophic Forgetting.
Neural Comput., 2021
Neural Comput., 2021
Classification From Pairwise Similarities/Dissimilarities and Unlabeled Data via Empirical Risk Minimization.
Neural Comput., 2021
Accelerated Diffusion-Based Sampling by the Non-Reversible Dynamics with Skew-Symmetric Matrices.
Entropy, 2021
Interactive Optimization of Generative Image Modelling using Sequential Subspace Search and Content-based Guidance.
Comput. Graph. Forum, 2021
Versatile anomaly detection method for medical images with semi-supervised flow-based generative models.
Int. J. Comput. Assist. Radiol. Surg., 2021
User interfaces for high-dimensional design problems: from theories to implementations.
Proceedings of the SIGGRAPH 2021: Special Interest Group on Computer Graphics and Interactive Techniques Conference, 2021
Proceedings of the Static Analysis - 28th International Symposium, 2021
Understanding Negative Samples in Instance Discriminative Self-supervised Representation Learning.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Loss function based second-order Jensen inequality and its application to particle variational inference.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Binary Classification from Multiple Unlabeled Datasets via Surrogate Set Classification.
Proceedings of the 38th International Conference on Machine Learning, 2021
A Diffusion Theory For Deep Learning Dynamics: Stochastic Gradient Descent Exponentially Favors Flat Minima.
Proceedings of the 9th International Conference on Learning Representations, 2021
Diagnostic Uncertainty Calibration: Towards Reliable Machine Predictions in Medical Domain.
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021
γ-ABC: Outlier-Robust Approximate Bayesian Computation Based on a Robust Divergence Estimator.
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021
2020
ACM Trans. Graph., 2020
Development of training environment for deep learning with medical images on supercomputer system based on asynchronous parallel Bayesian optimization.
J. Supercomput., 2020
CoRR, 2020
LFD-ProtoNet: Prototypical Network Based on Local Fisher Discriminant Analysis for Few-shot Learning.
CoRR, 2020
γ-ABC: Outlier-Robust Approximate Bayesian Computation based on Robust Divergence Estimator.
CoRR, 2020
Similarity-based Classification: Connecting Similarity Learning to Binary Classification.
CoRR, 2020
CoRR, 2020
A Diffusion Theory for Deep Learning Dynamics: Stochastic Gradient Descent Escapes From Sharp Minima Exponentially Fast.
CoRR, 2020
Anomaly detection in chest radiographs with a weakly supervised flow-based deep learning method.
CoRR, 2020
Novel platform for development, training, and validation of computer-assisted detection/diagnosis software.
Int. J. Comput. Assist. Radiol. Surg., 2020
Normalized Flat Minima: Exploring Scale Invariant Definition of Flat Minima for Neural Networks Using PAC-Bayesian Analysis.
Proceedings of the 37th International Conference on Machine Learning, 2020
Proceedings of the 37th International Conference on Machine Learning, 2020
Proceedings of the 37th International Conference on Machine Learning, 2020
A Comparison Of Compressed Sensing And Dnn Based Reconstruction For Ghost Motion Imaging.
Proceedings of the IEEE International Conference on Image Processing, 2020
2019
Solving NP-Hard Problems on Graphs by Reinforcement Learning without Domain Knowledge.
CoRR, 2019
Use of Ghost Cytometry to Differentiate Cells with Similar Gross Morphologic Characteristics.
CoRR, 2019
CoRR, 2019
Directing DNNs Attention for Facial Attribution Classification using Gradient-weighted Class Activation Mapping.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019
On the Structural Sensitivity of Deep Convolutional Networks to the Directions of Fourier Basis Functions.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
2018
Neural Networks, 2018
Mining Words in the Minds of Second Language Learners for Learner-specific Word Difficulty.
J. Inf. Process., 2018
IEICE Trans. Inf. Syst., 2018
Proceedings of the Thirty-Fourth Conference on Uncertainty in Artificial Intelligence, 2018
Proceedings of the High Performance Computing - 33rd International Conference, 2018
Lipschitz-Margin Training: Scalable Certification of Perturbation Invariance for Deep Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018
Managing Computer-Assisted Detection System Based on Transfer Learning with Negative Transfer Inhibition.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018
Analysis of Minimax Error Rate for Crowdsourcing and Its Application to Worker Clustering Model.
Proceedings of the 35th International Conference on Machine Learning, 2018
Proceedings of the 35th International Conference on Machine Learning, 2018
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018
2017
ACM Trans. Graph., 2017
Risk Minimization Framework for Multiple Instance Learning from Positive and Unlabeled Bags.
CoRR, 2017
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017
Proceedings of the Medical Imaging 2017: Computer-Aided Diagnosis, 2017
Proceedings of the 34th International Conference on Machine Learning, 2017
Proceedings of The 9th Asian Conference on Machine Learning, 2017
2016
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016
Proceedings of the IEEE International Conference on Data Mining Workshops, 2016
Company recommendation for new graduates via implicit feedback multiple matrix factorization with Bayesian optimization.
Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016
2015
Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data, Melbourne, Victoria, Australia, May 31, 2015
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2015
Stochastic Divergence Minimization for Online Collapsed Variational Bayes Zero Inference of Latent Dirichlet Allocation.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015
The Hybrid Nested/Hierarchical Dirichlet Process and its Application to Topic Modeling with Word Differentiation.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015
2014
Analysis of Variational Bayesian Latent Dirichlet Allocation: Weaker Sparsity Than MAP.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014
Approximation Analysis of Stochastic Gradient Langevin Dynamics by using Fokker-Planck Equation and Ito Process.
Proceedings of the 31th International Conference on Machine Learning, 2014
Proceedings of the 31th International Conference on Machine Learning, 2014
Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing, 2014
2013
Quantum annealing for Dirichlet process mixture models with applications to network clustering.
Neurocomputing, 2013
Proceedings of TextGraphs@EMNLP 2013: the 8th Workshop on Graph-based Methods for Natural Language Processing, 2013
Proceedings of the Asian Conference on Machine Learning, 2013
2012
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2012
Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012
Proceedings of the 29th International Conference on Machine Learning, 2012
Proceedings of the 4th Human Computation Workshop, 2012
Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference, July 8-14, 2012, Jeju Island, Korea, 2012
2011
Probabilistic Matrix Factorization Leveraging Contexts for Unsupervised Relation Extraction.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2011
Proceedings of the 11th IEEE International Conference on Data Mining, 2011
2010
Proceedings of the Proceeding of the 33rd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2010
Mining Numbers in Text Using Suffix Arrays and Clustering Based on Dirichlet Process Mixture Models.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2010
Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010
Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2010
Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2010
ITC-UT: Tweet Categorization by Query Categorization for On-line Reputation Management.
Proceedings of the CLEF 2010 LABs and Workshops, 2010
2009
2008
Person Name Disambiguation in Web Pages Using Social Network, Compound Words and Latent Topics.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2008
Knowledge discovery of semantic relationships between words using nonparametric bayesian graph model.
Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2008
2007
Semi-structure Mining Method for Text Mining with a Chunk-Based Dependency Structure.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2007
Knowledge discovery of multiple-topic document using parametric mixture model with dirichlet prior.
Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2007
Proceedings of the EMNLP-CoNLL 2007, 2007
2006
Proceedings of the 22nd International Conference on Data Engineering Workshops, 2006