Showing 1–20 of 48 results
/ Date/ Name
Feb 14, 2022Finding Dynamics Preserving Adversarial Winning TicketsMay 22, 2018Safe Element Screening for Submodular Function MinimizationJul 24, 2016Scaling Up Sparse Support Vector Machines by Simultaneous Feature and Sample ReductionNov 27, 2021Safe Screening for Sparse Conditional Random FieldsOct 16, 2020Parsimonious Quantile Regression of Financial Asset Tail Dynamics via Sequential LearningNov 23, 2018A Sufficient Condition for Convergences of Adam and RMSPropJun 2, 2018Hierarchical Attention-Based Recurrent Highway Networks for Time Series PredictionJul 16, 2022Approximation algorithms for Steiner Tree Augmentation ProblemsJan 24, 2023Probabilistic Bilevel Coreset SelectionJun 6, 2022Fast Adversarial Training with Adaptive Step SizeSep 29, 2023Spurious Feature Diversification Improves Out-of-distribution GeneralizationDec 4, 2024Revisiting Energy-Based Model for Out-of-Distribution DetectionJun 15, 2024Bypass Back-propagation: Optimization-based Structural Pruning for Large Language Models via Policy GradientMay 2, 2025Balancing Fidelity and Plasticity: Aligning Mixed-Precision Fine-Tuning with Linguistic HierarchiesOct 19, 2025Computational Budget Should Be Considered in Data SelectionMay 2, 2025Large Language Model Compression with Global Rank and Sparsity OptimizationFeb 25, 2026AutoQRA: Joint Optimization of Mixed-Precision Quantization and Low-rank Adapters for Efficient LLM Fine-TuningNov 10, 2021Efficient Neural Network Training via Forward and Backward Propagation SparsificationNov 10, 2021A Structure Feature Algorithm for Multi-modal Forearm RegistrationNov 18, 2019Convex Formulation of Overparameterized Deep Neural Networks