SWAP: Sparse Entropic Wasserstein Regression for Robust Network Pruning
Fuente:
arXiv
Guardado en:
| Autores principales: | You, Lei, Cheng, Hei Victor |
|---|---|
| Formato: | Preprint |
| Publicado: |
2023
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
C-SWAP: Explainability-Aware Structured Pruning for Efficient Neural Networks Compression
por: Bauvin, Baptiste, et al.
Publicado: (2025)
por: Bauvin, Baptiste, et al.
Publicado: (2025)
Towards Robust Pruning: An Adaptive Knowledge-Retention Pruning Strategy for Language Models
por: Li, Jianwei, et al.
Publicado: (2023)
por: Li, Jianwei, et al.
Publicado: (2023)
TIMA: Text-Image Mutual Awareness for Balancing Zero-Shot Adversarial Robustness and Generalization Ability
por: Ma, Fengji, et al.
Publicado: (2024)
por: Ma, Fengji, et al.
Publicado: (2024)
PruneSymNet: A Symbolic Neural Network and Pruning Algorithm for Symbolic Regression
por: Wu, Min, et al.
Publicado: (2024)
por: Wu, Min, et al.
Publicado: (2024)
Sparse Interpretable Deep Learning with LIES Networks for Symbolic Regression
por: Montazerin, Mansooreh, et al.
Publicado: (2025)
por: Montazerin, Mansooreh, et al.
Publicado: (2025)
Class-Aware Pruning for Efficient Neural Networks
por: Jiang, Mengnan, et al.
Publicado: (2023)
por: Jiang, Mengnan, et al.
Publicado: (2023)
Sparse Spiking Neural Network: Exploiting Heterogeneity in Timescales for Pruning Recurrent SNN
por: Chakraborty, Biswadeep, et al.
Publicado: (2024)
por: Chakraborty, Biswadeep, et al.
Publicado: (2024)
SQUASH: A SWAP-Based Quantum Attack to Sabotage Hybrid Quantum Neural Networks
por: Kumar, Rahul, et al.
Publicado: (2025)
por: Kumar, Rahul, et al.
Publicado: (2025)
Sparse Attention Regression Network Based Soil Fertility Prediction With Ummaso
por: Rao, R V Raghavendra, et al.
Publicado: (2024)
por: Rao, R V Raghavendra, et al.
Publicado: (2024)
SAFE: Finding Sparse and Flat Minima to Improve Pruning
por: Lee, Dongyeop, et al.
Publicado: (2025)
por: Lee, Dongyeop, et al.
Publicado: (2025)
Revisiting Counterfactual Regression through the Lens of Gromov-Wasserstein Information Bottleneck
por: Yang, Hao, et al.
Publicado: (2024)
por: Yang, Hao, et al.
Publicado: (2024)
RA-LWLM: Retrieval-Augmented In-Context Localization with Wireless Foundation Models
por: Pan, Guangjin, et al.
Publicado: (2026)
por: Pan, Guangjin, et al.
Publicado: (2026)
Max-Affine Spline Insights Into Deep Network Pruning
por: You, Haoran, et al.
Publicado: (2021)
por: You, Haoran, et al.
Publicado: (2021)
Joint Distribution-Informed Shapley Values for Sparse Counterfactual Explanations
por: You, Lei, et al.
Publicado: (2024)
por: You, Lei, et al.
Publicado: (2024)
RASR: Risk-Averse Soft-Robust MDPs with EVaR and Entropic Risk
por: Hau, Jia Lin, et al.
Publicado: (2022)
por: Hau, Jia Lin, et al.
Publicado: (2022)
DRIVE: Dual-Robustness via Information Variability and Entropic Consistency in Source-Free Unsupervised Domain Adaptation
por: Xiao, Ruiqiang, et al.
Publicado: (2024)
por: Xiao, Ruiqiang, et al.
Publicado: (2024)
Sparse Weight Averaging with Multiple Particles for Iterative Magnitude Pruning
por: Choi, Moonseok, et al.
Publicado: (2023)
por: Choi, Moonseok, et al.
Publicado: (2023)
SparseSwaps: Tractable LLM Pruning Mask Refinement at Scale
por: Zimmer, Max, et al.
Publicado: (2025)
por: Zimmer, Max, et al.
Publicado: (2025)
The Right to be Forgotten in Pruning: Unveil Machine Unlearning on Sparse Models
por: Xiao, Yang, et al.
Publicado: (2025)
por: Xiao, Yang, et al.
Publicado: (2025)
PrunePath: Towards Highly Structured Sparse Language Models
por: Gu, Zhexuan, et al.
Publicado: (2026)
por: Gu, Zhexuan, et al.
Publicado: (2026)
An Efficient Sparse Fine-Tuning with Low Quantization Error via Neural Network Pruning
por: Li, Cen-Jhih, et al.
Publicado: (2025)
por: Li, Cen-Jhih, et al.
Publicado: (2025)
TopoPrune: Robust Data Pruning via Unified Latent Space Topology
por: Roy, Arjun, et al.
Publicado: (2026)
por: Roy, Arjun, et al.
Publicado: (2026)
Wasserstein Distributionally Robust Bayesian Optimization with Continuous Context
por: Micheli, Francesco, et al.
Publicado: (2025)
por: Micheli, Francesco, et al.
Publicado: (2025)
In-Context Symbolic Regression for Robustness-Improved Kolmogorov-Arnold Networks
por: Sovrano, Francesco, et al.
Publicado: (2026)
por: Sovrano, Francesco, et al.
Publicado: (2026)
OATS: Outlier-Aware Pruning Through Sparse and Low Rank Decomposition
por: Zhang, Stephen, et al.
Publicado: (2024)
por: Zhang, Stephen, et al.
Publicado: (2024)
Pruning Large Language Models with Semi-Structural Adaptive Sparse Training
por: Huang, Weiyu, et al.
Publicado: (2024)
por: Huang, Weiyu, et al.
Publicado: (2024)
SWAP: Towards Copyright Auditing of Soft Prompts via Sequential Watermarking
por: Yang, Wenyuan, et al.
Publicado: (2025)
por: Yang, Wenyuan, et al.
Publicado: (2025)
Provable Robust Overfitting Mitigation in Wasserstein Distributionally Robust Optimization
por: Liu, Shuang, et al.
Publicado: (2025)
por: Liu, Shuang, et al.
Publicado: (2025)
Safe Pruning LoRA: Robust Distance-Guided Pruning for Safety Alignment in Adaptation of LLMs
por: Ao, Shuang, et al.
Publicado: (2025)
por: Ao, Shuang, et al.
Publicado: (2025)
Quantifying Model Uniqueness in Heterogeneous AI Ecosystems
por: You, Lei
Publicado: (2026)
por: You, Lei
Publicado: (2026)
When Child Inherits: Modeling and Exploiting Subagent Spawn in Multi-Agent Networks
por: Cai, Ziwen, et al.
Publicado: (2026)
por: Cai, Ziwen, et al.
Publicado: (2026)
Sparse Model Soups: A Recipe for Improved Pruning via Model Averaging
por: Zimmer, Max, et al.
Publicado: (2023)
por: Zimmer, Max, et al.
Publicado: (2023)
UniPruning: Unifying Local Metric and Global Feedback for Scalable Sparse LLMs
por: Ding, Yizhuo, et al.
Publicado: (2025)
por: Ding, Yizhuo, et al.
Publicado: (2025)
Geometric Median (GM) Matching for Robust Data Pruning
por: Acharya, Anish, et al.
Publicado: (2024)
por: Acharya, Anish, et al.
Publicado: (2024)
Entropic Causal Inference: Graph Identifiability
por: Compton, Spencer, et al.
Publicado: (2025)
por: Compton, Spencer, et al.
Publicado: (2025)
Pruning as a Game: Equilibrium-Driven Sparsification of Neural Networks
por: Shah, Zubair, et al.
Publicado: (2025)
por: Shah, Zubair, et al.
Publicado: (2025)
Greedy Output Approximation: Towards Efficient Structured Pruning for LLMs Without Retraining
por: Li, Jianwei, et al.
Publicado: (2024)
por: Li, Jianwei, et al.
Publicado: (2024)
EvoP: Robust LLM Inference via Evolutionary Pruning
por: Wu, Shangyu, et al.
Publicado: (2025)
por: Wu, Shangyu, et al.
Publicado: (2025)
Certifying Global Robustness for Deep Neural Networks
por: Li, You, et al.
Publicado: (2024)
por: Li, You, et al.
Publicado: (2024)
Sparse Regression for Machine Translation
por: Biçici, Ergun
Publicado: (2024)
por: Biçici, Ergun
Publicado: (2024)
Ejemplares similares
-
C-SWAP: Explainability-Aware Structured Pruning for Efficient Neural Networks Compression
por: Bauvin, Baptiste, et al.
Publicado: (2025) -
Towards Robust Pruning: An Adaptive Knowledge-Retention Pruning Strategy for Language Models
por: Li, Jianwei, et al.
Publicado: (2023) -
TIMA: Text-Image Mutual Awareness for Balancing Zero-Shot Adversarial Robustness and Generalization Ability
por: Ma, Fengji, et al.
Publicado: (2024) -
PruneSymNet: A Symbolic Neural Network and Pruning Algorithm for Symbolic Regression
por: Wu, Min, et al.
Publicado: (2024) -
Sparse Interpretable Deep Learning with LIES Networks for Symbolic Regression
por: Montazerin, Mansooreh, et al.
Publicado: (2025)