Towards the Connection between Activation Sparsity and Flat Minima
Fuente:
arXiv
Saved in:
| Main Authors: | Peng, Ze, Zhang, Jian, Qi, Lei, Gao, Yang, Shi, Yinghuan |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
On the Implicit Adversariality of Catastrophic Forgetting in Deep Continual Learning
by: Peng, Ze, et al.
Published: (2025)
by: Peng, Ze, et al.
Published: (2025)
Are Flat Minima an Illusion?
by: Bennett, Michael Timothy
Published: (2026)
by: Bennett, Michael Timothy
Published: (2026)
Balanced Direction from Multifarious Choices: Arithmetic Meta-Learning for Domain Generalization
by: Wang, Xiran, et al.
Published: (2025)
by: Wang, Xiran, et al.
Published: (2025)
Leveraging Flatness to Improve Information-Theoretic Generalization Bounds for SGD
by: Peng, Ze, et al.
Published: (2026)
by: Peng, Ze, et al.
Published: (2026)
SAFE: Finding Sparse and Flat Minima to Improve Pruning
by: Lee, Dongyeop, et al.
Published: (2025)
by: Lee, Dongyeop, et al.
Published: (2025)
Zeroth-Order Optimization Finds Flat Minima
by: Zhang, Liang, et al.
Published: (2025)
by: Zhang, Liang, et al.
Published: (2025)
A Flat Minima Perspective on Understanding Augmentations and Model Robustness
by: Yoo, Weebum, et al.
Published: (2025)
by: Yoo, Weebum, et al.
Published: (2025)
A Function-Centric Perspective on Flat and Sharp Minima
by: Mason-Williams, Israel, et al.
Published: (2025)
by: Mason-Williams, Israel, et al.
Published: (2025)
When Shared Knowledge Hurts: Spectral Over-Accumulation in Model Merging
by: Li, Yayuan, et al.
Published: (2026)
by: Li, Yayuan, et al.
Published: (2026)
MAGIC: Achieving Superior Model Merging via Magnitude Calibration
by: Li, Yayuan, et al.
Published: (2025)
by: Li, Yayuan, et al.
Published: (2025)
DP-FedPGN: Finding Global Flat Minima for Differentially Private Federated Learning via Penalizing Gradient Norm
by: Liu, Junkang, et al.
Published: (2025)
by: Liu, Junkang, et al.
Published: (2025)
WiSparse: Boosting LLM Inference Efficiency with Weight-Aware Mixed Activation Sparsity
by: Chen, Lei, et al.
Published: (2026)
by: Chen, Lei, et al.
Published: (2026)
Joint Training Across Multiple Activation Sparsity Regimes
by: Wang, Haotian
Published: (2026)
by: Wang, Haotian
Published: (2026)
Post-Training Statistical Calibration for Higher Activation Sparsity
by: Chua, Vui Seng, et al.
Published: (2024)
by: Chua, Vui Seng, et al.
Published: (2024)
Activation Sparsity Opportunities for Compressing General Large Language Models
by: Dhar, Nobel, et al.
Published: (2024)
by: Dhar, Nobel, et al.
Published: (2024)
Amber Pruner: Leveraging N:M Activation Sparsity for Efficient Prefill in Large Language Models
by: An, Tai, et al.
Published: (2025)
by: An, Tai, et al.
Published: (2025)
Uncovering Layer-Dependent Activation Sparsity Patterns in ReLU Transformers
by: Wild, Cody, et al.
Published: (2024)
by: Wild, Cody, et al.
Published: (2024)
LibContinual: A Comprehensive Library towards Realistic Continual Learning
by: Li, Wenbin, et al.
Published: (2025)
by: Li, Wenbin, et al.
Published: (2025)
Uncovering Intra-expert Activation Sparsity for Efficient Mixture-of-Expert Model Execution
by: Park, Jongseok, et al.
Published: (2026)
by: Park, Jongseok, et al.
Published: (2026)
Beyond Sharp Minima: Robust LLM Unlearning via Feedback-Guided Multi-Point Optimization
by: Wu, Wenhan, et al.
Published: (2025)
by: Wu, Wenhan, et al.
Published: (2025)
Effective Interplay between Sparsity and Quantization: From Theory to Practice
by: Harma, Simla Burcu, et al.
Published: (2024)
by: Harma, Simla Burcu, et al.
Published: (2024)
Toward Efficient Permutation for Hierarchical N:M Sparsity on GPUs
by: Yu, Seungmin, et al.
Published: (2024)
by: Yu, Seungmin, et al.
Published: (2024)
Accelerating Transformer Inference and Training with 2:4 Activation Sparsity
by: Haziza, Daniel, et al.
Published: (2025)
by: Haziza, Daniel, et al.
Published: (2025)
TriShGAN: Enhancing Sparsity and Robustness in Multivariate Time Series Counterfactuals Explanation
by: Ma, Hongnan, et al.
Published: (2025)
by: Ma, Hongnan, et al.
Published: (2025)
Sparsity-Aware Evolution for Model Merging
by: Zhang, Huan, et al.
Published: (2026)
by: Zhang, Huan, et al.
Published: (2026)
Improving MLLM Training Efficiency via Stage-Aware Sparsity
by: Shi, Kean, et al.
Published: (2025)
by: Shi, Kean, et al.
Published: (2025)
Stable Minima Cannot Overfit in Univariate ReLU Networks: Generalization by Large Step Sizes
by: Qiao, Dan, et al.
Published: (2024)
by: Qiao, Dan, et al.
Published: (2024)
On the Identifiability of Nonlinear ICA: Sparsity and Beyond
by: Zheng, Yujia, et al.
Published: (2022)
by: Zheng, Yujia, et al.
Published: (2022)
BESA: Pruning Large Language Models with Blockwise Parameter-Efficient Sparsity Allocation
by: Xu, Peng, et al.
Published: (2024)
by: Xu, Peng, et al.
Published: (2024)
ELAS: Efficient Pre-Training of Low-Rank Large Language Models via 2:4 Activation Sparsity
by: Li, Jiaxi, et al.
Published: (2026)
by: Li, Jiaxi, et al.
Published: (2026)
Toward Unifying Group Fairness Evaluation from a Sparsity Perspective
by: Sheng, Zhecheng, et al.
Published: (2025)
by: Sheng, Zhecheng, et al.
Published: (2025)
Improving Decision Sparsity
by: Sun, Yiyang, et al.
Published: (2024)
by: Sun, Yiyang, et al.
Published: (2024)
Homeostasis and Sparsity in Transformer
by: Kotyuzanskiy, Leonid, et al.
Published: (2024)
by: Kotyuzanskiy, Leonid, et al.
Published: (2024)
Polar Sparsity: High Throughput Batched LLM Inferencing with Scalable Contextual Sparsity
by: Shrestha, Susav, et al.
Published: (2025)
by: Shrestha, Susav, et al.
Published: (2025)
HashAttention: Semantic Sparsity for Faster Inference
by: Desai, Aditya, et al.
Published: (2024)
by: Desai, Aditya, et al.
Published: (2024)
ProSparse: Introducing and Enhancing Intrinsic Activation Sparsity within Large Language Models
by: Song, Chenyang, et al.
Published: (2024)
by: Song, Chenyang, et al.
Published: (2024)
Towards Robust Influence Functions with Flat Validation Minima
by: Ye, Xichen, et al.
Published: (2025)
by: Ye, Xichen, et al.
Published: (2025)
LoRA Dropout as a Sparsity Regularizer for Overfitting Control
by: Lin, Yang, et al.
Published: (2024)
by: Lin, Yang, et al.
Published: (2024)
Motivating Next-Gen Accelerators with Flexible (N:M) Activation Sparsity via Benchmarking Lightweight Post-Training Sparsification Approaches
by: Alanova, Shirin, et al.
Published: (2025)
by: Alanova, Shirin, et al.
Published: (2025)
Sparsity and Out-of-Distribution Generalization
by: Aaronson, Scott, et al.
Published: (2026)
by: Aaronson, Scott, et al.
Published: (2026)
Similar Items
-
On the Implicit Adversariality of Catastrophic Forgetting in Deep Continual Learning
by: Peng, Ze, et al.
Published: (2025) -
Are Flat Minima an Illusion?
by: Bennett, Michael Timothy
Published: (2026) -
Balanced Direction from Multifarious Choices: Arithmetic Meta-Learning for Domain Generalization
by: Wang, Xiran, et al.
Published: (2025) -
Leveraging Flatness to Improve Information-Theoretic Generalization Bounds for SGD
by: Peng, Ze, et al.
Published: (2026) -
SAFE: Finding Sparse and Flat Minima to Improve Pruning
by: Lee, Dongyeop, et al.
Published: (2025)