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sparsity regularization

23 papers

Papers

DAG Learning from Zero-Inflated Count Data Using Continuous Optimization CLeaR 2026 Graph neural networks extrapolate out-of-distribution for shortest paths COLT 2026 One-Cycle Structured Pruning via Stability-Driven Subnetwork Search WACV 2026 Tailored ViT Slimming: Budget-Aware Multi-Dimensional Sparsity Regularization for Vision Transformers Pruning (Student Abstract) AAAI 2026 On the Identification of Temporal Causal Representation with Instantaneous Dependence ICLR 2025 Sparse Semiparametric Discriminant Analysis for High-dimensional Zero-inflated Data JMLR 2025 Tensorial Multi-view Clustering with Deep Anchor Graph Projection IJCAI 2025 CoLiDE: Concomitant Linear DAG Estimation ICLR 2024 DAG-Informed Structure Learning from Multi-Dimensional Point Processes JMLR 2024 GINN-LP: A Growing Interpretable Neural Network for Discovering Multivariate Laurent Polynomial Equations AAAI 2024 HyperLogic: Enhancing Diversity and Accuracy in Rule Learning with HyperNets NeurIPS 2024 Structured Gradient-based Interpretations via Norm-Regularized Adversarial Training CVPR 2024 GEASS: Neural causal feature selection for high-dimensional biological data ICLR 2023 Pruning Pre-trained Language Models with Principled Importance and Self-regularization ACL 2023 Spa: On the Sparsity of Virtual Adversarial Training for Dependency Parsing AACL 2022 Improving Molecular Graph Neural Network Explainability with Orthonormalization and Induced Sparsity ICML 2021 Group Sparsity: The Hinge Between Filter Pruning and Decomposition for Network Compression CVPR 2020 Instance Credibility Inference for Few-Shot Learning CVPR 2020 Sparse Kernel Regression with Coefficient-based ℓ_q-regularization JMLR 2019 Towards Optimal Structured CNN Pruning via Generative Adversarial Learning CVPR 2019 Accurate and Robust Registration of Nonrigid Surface Using Hierarchical Statistical Shape Model CVPR 2013 Simple Sparsification Improves Sparse Denoising Autoencoders in Denoising Highly Corrupted Images ICML 2013 On the Convexity of Latent Social Network Inference NeurIPS 2010