Deep neural networks for choice analysis: Enhancing behavioral regularity with gradient regularizationby Siqi Feng, Rui…
Gradient Guidance for Diffusion Models: An Optimization Perspectiveby Yingqing Guo, Hui Yuan, Yukang Yang, Minshuo…
Regularized Gauss-Newton for Optimizing Overparameterized Neural Networksby Adeyemi D. Adeoye, Philipp Christian Petersen, Alberto BemporadFirst…
Explicit Lipschitz Value Estimation Enhances Policy Robustness Against Perturbationby Xulin Chen, Ruipeng Liu, Garrett E.…
PIPER: Primitive-Informed Preference-based Hierarchical Reinforcement Learning via Hindsight Relabelingby Utsav Singh, Wesley A. Suttle, Brian…
Contrastive Gaussian Clustering: Weakly Supervised 3D Scene Segmentationby Myrna C. Silva, Mahtab Dahaghin, Matteo Toso,…
Singular-limit analysis of gradient descent with noise injectionby Anna Shalova, André Schlichting, Mark PeletierFirst submitted…
QGen: On the Ability to Generalize in Quantization Aware Trainingby MohammadHossein AskariHemmat, Ahmadreza Jeddi, Reyhane…
Calibrating Bayesian Learning via Regularization, Confidence Minimization, and Selective Inferenceby Jiayi Huang, Sangwoo Park, Osvaldo…
Cross-Platform Hate Speech Detection with Weakly Supervised Causal Disentanglementby Paras Sheth, Tharindu Kumarage, Raha Moraffah,…