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Dataset Distillation via Factorization [PDF]
Neural Information Processing Systems, 2022 In this paper, we study \xw{dataset distillation (DD)}, from a novel perspective and introduce a \emph{dataset factorization} approach, termed \emph{HaBa}, which is a plug-and-play strategy portable to any existing DD baseline.
Songhua Liu +4 more
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Security Issues of Novel RSA Variant
IEEE Access, 2022 The RSA is one of the current default cryptosystems that provides security with applications such as encryptions and digital signatures. It is important to further study the weak characteristics of the RSA to ensure correct utilisation in order not to be
Abderrahmane Nitaj +4 more
doaj +1 more source
Closed-Form Factorization of Latent Semantics in GANs [PDF]
Computer Vision and Pattern Recognition, 2020 A rich set of interpretable dimensions has been shown to emerge in the latent space of the Generative Adversarial Networks (GANs) trained for synthesizing images.
Yujun Shen, Bolei Zhou
semanticscholar +1 more source
Towards Ordinal Data Science [PDF]
Transactions on Graph Data and Knowledge, 2023 Order is one of the main instruments to measure the relationship between objects in (empirical) data. However, compared to methods that use numerical properties of objects, the amount of ordinal methods developed is rather small.
Stumme, Gerd +2 more
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DeepFM: A Factorization-Machine based Neural Network for CTR Prediction [PDF]
International Joint Conference on Artificial Intelligence, 2017 Learning sophisticated feature interactions behind user behaviors is critical in maximizing CTR for recommender systems. Despite great progress, existing methods seem to have a strong bias towards low- or high-order interactions, or require expertise ...
Huifeng Guo +4 more
semanticscholar +1 more source
Polynomial-Time Algorithms for Prime Factorization and Discrete Logarithms on a Quantum Computer [PDF]
SIAM Review, 1995 A digital computer is generally believed to be an efficient universal computing device; that is, it is believed to be able to simulate any physical computing device with an increase in computation time by at most a polynomial factor. This may not be true
P. Shor
semanticscholar +1 more source
Neural Collaborative Filtering vs. Matrix Factorization Revisited [PDF]
ACM Conference on Recommender Systems, 2020 Embedding based models have been the state of the art in collaborative filtering for over a decade. Traditionally, the dot product or higher order equivalents have been used to combine two or more embeddings, e.g., most notably in matrix factorization ...
Steffen Rendle +3 more
semanticscholar +1 more source
Factorized One-Way Wave Equations
Acoustics, 2021 The method used to factorize the longitudinal wave equation has been known for many decades. Using this knowledge, the classical 2nd-order partial differential Equation (PDE) established by Cauchy has been split into two 1st-order PDEs, in alignment with
Oskar Bschorr, Hans-Joachim Raida
doaj +1 more source
Axioms, 2021 In this paper, we present an explicit formula for the approximate solution of the Cauchy problem for the matrix factorizations of the Helmholtz equation in a bounded domain on the plane.
Davron Aslonqulovich Juraev +1 more
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Neural Factorization Machines for Sparse Predictive Analytics [PDF]
Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2017 Many predictive tasks of web applications need to model categorical variables, such as user IDs and demographics like genders and occupations. To apply standard machine learning techniques, these categorical predictors are always converted to a set of ...
Xiangnan He, Tat-Seng Chua
semanticscholar +1 more source