conftrace_

sparsity constraint

28 papers

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Co-occurring keywords

sparse optimization (246) network pruning (183) sparse representation (297) model compression (3302) non-negative matrix factorization (100) hard thresholding (23) neural network (6616) greedy algorithm (242) image reconstruction (671) structure learning (341)

Papers

Understanding Individual Agent Importance in Multi-Agent System via Counterfactual Reasoning AAAI 2025
Train One Sparse Autoencoder Across Multiple Sparsity Budgets to Preserve Interpretability and Accuracy EMNLP 2025
How Sparse Can We Prune A Deep Network: A Fundamental Limit Perspective NIPS 2024
FALCON: FLOP-Aware Combinatorial Optimization for Neural Network Pruning AISTATS 2024
Stable Learning via Sparse Variable Independence AAAI 2023
Fast as CHITA: Neural Network Pruning with Combinatorial Optimization ICML 2023
Accelerated Projected Gradient Algorithms for Sparsity Constrained Optimization Problems NIPS 2022
Table2Graph: Transforming Tabular Data to Unified Weighted Graph IJCAI 2022
Self-Supervised Cryo-Electron Tomography Volumetric Image Restoration From Single Noisy Volume With Sparsity Constraint ICCV 2021
Sparse Convex Optimization via Adaptively Regularized Hard Thresholding JMLR 2021
Stability and Risk Bounds of Iterative Hard Thresholding AISTATS 2021
Paragraph-level Rationale Extraction through Regularization: A case study on European Court of Human Rights Cases NAACL 2021
Learning Bayesian Networks Under Sparsity Constraints: A Parameterized Complexity Analysis IJCAI 2020
Cogradient Descent for Bilinear Optimization CVPR 2020
On the Role of Sparsity and DAG Constraints for Learning Linear DAGs NIPS 2020
Neural Sparse Representation for Image Restoration NIPS 2020
Online Linear Optimization with Sparsity Constraints ALT 2019
Efficient Stochastic Gradient Hard Thresholding NIPS 2018
Who Said That? a Comparative Study of Non-negative Matrix Factorization Techniques INTERSPEECH 2018
Fast greedy algorithms for dictionary selection with generalized sparsity constraints NIPS 2018
Nonnegative Matrix Underapproximation for Robust Multiple Model Fitting CVPR 2017
On Quantile Regression in Reproducing Kernel Hilbert Spaces with the Data Sparsity Constraint JMLR 2016
Robust Manhattan Frame Estimation From a Single RGB-D Image CVPR 2015
Regularizing Max-Margin Exemplars by Reconstruction and Generative Models CVPR 2015
Newton Greedy Pursuit: A Quadratic Approximation Method for Sparsity-Constrained Optimization CVPR 2014