Learning Privacy-Preserving Student Networks via Discriminative-Generative Distillationby Shiming Ge, Bochao Liu, Pengju Wang, Yong Li,…
Robust Fourier Neural Networksby Halyun Jeong, Jihun HanFirst submitted to arxiv on: 3 Sep 2024CategoriesMain:…
Enhancing Fine-Grained Visual Recognition in the Low-Data Regime Through Feature Magnitude Regularizationby Avraham Chapman, Haiming…
Preference-Based Multi-Agent Reinforcement Learning: Data Coverage and Algorithmic Techniquesby Natalia Zhang, Xinqi Wang, Qiwen Cui,…
FedMCP: Parameter-Efficient Federated Learning with Model-Contrastive Personalizationby Qianyi Zhao, Chen Qu, Cen Chen, Mingyuan Fan,…
Latent-EnSF: A Latent Ensemble Score Filter for High-Dimensional Data Assimilation with Sparse Observation Databy Phillip…
A Score-Based Density Formula, with Applications in Diffusion Generative Modelsby Gen Li, Yuling YanFirst submitted…
The Star Geometry of Critic-Based Regularizer Learningby Oscar Leong, Eliza O'Reilly, Yong Sheng SohFirst submitted…
GL-TSVM: A robust and smooth twin support vector machine with guardian loss functionby Mushir Akhtar,…
Implicit Regularization Paths of Weighted Neural Representationsby Jin-Hong Du, Pratik PatilFirst submitted to arxiv on:…