Summary of Implicit Neural Representation Of Tileable Material Textures, by Hallison Paz et al.
Implicit Neural Representation of Tileable Material Texturesby Hallison Paz, Tiago Novello, Luiz VelhoFirst submitted to…
Summary of Nonlinear Subspace Clustering by Functional Link Neural Networks, By Long Shi et al.
Nonlinear subspace clustering by functional link neural networksby Long Shi, Lei Cao, Zhongpu Chen, Badong…
Summary of Class Incremental Learning with Probability Dampening and Cascaded Gated Classifier, by Jary Pomponi et al.
Class incremental learning with probability dampening and cascaded gated classifierby Jary Pomponi, Alessio Devoto, Simone…
Summary of Equivalence Of the Empirical Risk Minimization to Regularization on the Family Of F-divergences, by Francisco Daunas et al.
Equivalence of the Empirical Risk Minimization to Regularization on the Family of f-Divergencesby Francisco Daunas,…
Summary of An Experiment on Feature Selection Using Logistic Regression, by Raisa Islam et al.
An Experiment on Feature Selection using Logistic Regressionby Raisa Islam, Subhasish Mazumdar, Rakibul IslamFirst submitted…
Summary of Regularized Linear Discriminant Analysis Using a Nonlinear Covariance Matrix Estimator, by Maaz Mahadi et al.
Regularized Linear Discriminant Analysis Using a Nonlinear Covariance Matrix Estimatorby Maaz Mahadi, Tarig Ballal, Muhammad…
Summary of Simplifying Latent Dynamics with Softly State-invariant World Models, by Tankred Saanum et al.
Simplifying Latent Dynamics with Softly State-Invariant World Modelsby Tankred Saanum, Peter Dayan, Eric SchulzFirst submitted…
Summary of Effective Controllable Bias Mitigation For Classification and Retrieval Using Gate Adapters, by Shahed Masoudian et al.
Effective Controllable Bias Mitigation for Classification and Retrieval using Gate Adaptersby Shahed Masoudian, Cornelia Volaucnik,…
Summary of Prevalidated Ridge Regression Is a Highly-efficient Drop-in Replacement For Logistic Regression For High-dimensional Data, by Angus Dempster et al.
Prevalidated ridge regression is a highly-efficient drop-in replacement for logistic regression for high-dimensional databy Angus…
Summary of Adaptive Block Sparse Regularization Under Arbitrary Linear Transform, by Takanobu Furuhashi et al.
Adaptive Block Sparse Regularization under Arbitrary Linear Transformby Takanobu Furuhashi, Hidekata Hontani, Tatsuya YokotaFirst submitted…