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regularized loss

7 papers

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Co-occurring keywords · papers mentioning both

deep neural network (2) weakly supervised learning (2) model compression (2) dual ascent (1) trust region method (1) unconstrained features model (1) relu nonlinearity (1) dependency graph (1) magnitude thresholding (1) cnn overfitting (1)

Papers

Streamlining Speech Enhancement DNNs: an Automated Pruning Method Based on Dependency Graph with Advanced Regularized Loss Strategies Interspeech 2024 Test Time Adaptation With Regularized Loss for Weakly Supervised Salient Object Detection CVPR 2023 Extended Unconstrained Features Model for Exploring Deep Neural Collapse ICML 2022 Robust Trust Region for Weakly Supervised Segmentation ICCV 2021 “Learning-Compression” Algorithms for Neural Net Pruning CVPR 2018 Parameter Estimation of Generalized Linear Models without Assuming their Link Function AISTATS 2015 Accelerated Proximal Stochastic Dual Coordinate Ascent for Regularized Loss Minimization ICML 2014