sparse model

Communication-Efficient Heterogeneous Federated Learning with Sparse Prototypes in Resource-Constrained Environments AAAI 2026 Efficient Plug-and-Play Weight Refinement for Sparse Large Models AAAI 2026 Accelerating Dense LLMs via L0-regularized Mixture-of-Experts ACL 2025 Masks Can be Learned as an Alternative to Experts ACL 2025 Sparse SVM with Hard-Margin Loss: a Newton-Augmented Lagrangian Method in Reduced Dimensions JMLR 2025 STUN: Structured-Then-Unstructured Pruning for Scalable MoE Pruning ACL 2025 ALPS: Improved Optimization for Highly Sparse One-Shot Pruning for Large Language Models NeurIPS 2024 A Simple and Effective Pruning Approach for Large Language Models ICLR 2024 Balancing Act: Constraining Disparate Impact in Sparse Models ICLR 2024 FastSurvival: Hidden Computational Blessings in Training Cox Proportional Hazards Models NeurIPS 2024 Harnessing Manycore Processors with Distributed Memory for Accelerated Training of Sparse and Recurrent Models AAAI 2024 Let the Expert Stick to His Last: Expert-Specialized Fine-Tuning for Sparse Architectural Large Language Models EMNLP 2024 Once for Both: Single Stage of Importance and Sparsity Search for Vision Transformer Compression CVPR 2024 Scale-invariant Optimal Sampling for Rare-events Data and Sparse Models NeurIPS 2024 SIRIUS : Contexual Sparisty with Correction for Efficient LLMs NeurIPS 2024 SpaFL: Communication-Efficient Federated Learning With Sparse Models And Low Computational Overhead NeurIPS 2024 Sparse and Faithful Explanations Without Sparse Models AISTATS 2024 Sparse Model Soups: A Recipe for Improved Pruning via Model Averaging ICLR 2024 Sparse Weight Averaging with Multiple Particles for Iterative Magnitude Pruning ICLR 2024 SQFT: Low-cost Model Adaptation in Low-precision Sparse Foundation Models EMNLP 2024 SWAP: Sparse Entropic Wasserstein Regression for Robust Network Pruning ICLR 2024 XMoE: Sparse Models with Fine-grained and Adaptive Expert Selection ACL 2024 Approximating Two-Layer Feedforward Networks for Efficient Transformers EMNLP 2023 Balanced Training for Sparse GANs NeurIPS 2023 Bias in Pruned Vision Models: In-Depth Analysis and Countermeasures CVPR 2023