:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	You, Lei, Cheng, Hei Victor
Format:	Preprint
Published:	2023
Subjects:	Artificial Intelligence
Online Access:	https://arxiv.org/abs/2310.04918
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

C-SWAP: Explainability-Aware Structured Pruning for Efficient Neural Networks Compression
by: Bauvin, Baptiste, et al.
Published: (2025)

TIMA: Text-Image Mutual Awareness for Balancing Zero-Shot Adversarial Robustness and Generalization Ability
by: Ma, Fengji, et al.
Published: (2024)

Towards Robust Pruning: An Adaptive Knowledge-Retention Pruning Strategy for Language Models
by: Li, Jianwei, et al.
Published: (2023)

PruneSymNet: A Symbolic Neural Network and Pruning Algorithm for Symbolic Regression
by: Wu, Min, et al.
Published: (2024)

RA-LWLM: Retrieval-Augmented In-Context Localization with Wireless Foundation Models
by: Pan, Guangjin, et al.
Published: (2026)

SQUASH: A SWAP-Based Quantum Attack to Sabotage Hybrid Quantum Neural Networks
by: Kumar, Rahul, et al.
Published: (2025)

Sparse Interpretable Deep Learning with LIES Networks for Symbolic Regression
by: Montazerin, Mansooreh, et al.
Published: (2025)

Sparse Spiking Neural Network: Exploiting Heterogeneity in Timescales for Pruning Recurrent SNN
by: Chakraborty, Biswadeep, et al.
Published: (2024)

Class-Aware Pruning for Efficient Neural Networks
by: Jiang, Mengnan, et al.
Published: (2023)

Joint Distribution-Informed Shapley Values for Sparse Counterfactual Explanations
by: You, Lei, et al.
Published: (2024)

Sparse Attention Regression Network Based Soil Fertility Prediction With Ummaso
by: Rao, R V Raghavendra, et al.
Published: (2024)

Max-Affine Spline Insights Into Deep Network Pruning
by: You, Haoran, et al.
Published: (2021)

Revisiting Counterfactual Regression through the Lens of Gromov-Wasserstein Information Bottleneck
by: Yang, Hao, et al.
Published: (2024)

SAFE: Finding Sparse and Flat Minima to Improve Pruning
by: Lee, Dongyeop, et al.
Published: (2025)

DRIVE: Dual-Robustness via Information Variability and Entropic Consistency in Source-Free Unsupervised Domain Adaptation
by: Xiao, Ruiqiang, et al.
Published: (2024)

RASR: Risk-Averse Soft-Robust MDPs with EVaR and Entropic Risk
by: Hau, Jia Lin, et al.
Published: (2022)

An Efficient Sparse Fine-Tuning with Low Quantization Error via Neural Network Pruning
by: Li, Cen-Jhih, et al.
Published: (2025)

Sparse Weight Averaging with Multiple Particles for Iterative Magnitude Pruning
by: Choi, Moonseok, et al.
Published: (2023)

SparseSwaps: Tractable LLM Pruning Mask Refinement at Scale
by: Zimmer, Max, et al.
Published: (2025)

The Right to be Forgotten in Pruning: Unveil Machine Unlearning on Sparse Models
by: Xiao, Yang, et al.
Published: (2025)

PrunePath: Towards Highly Structured Sparse Language Models
by: Gu, Zhexuan, et al.
Published: (2026)

SWAP: Towards Copyright Auditing of Soft Prompts via Sequential Watermarking
by: Yang, Wenyuan, et al.
Published: (2025)

TopoPrune: Robust Data Pruning via Unified Latent Space Topology
by: Roy, Arjun, et al.
Published: (2026)

Wasserstein Distributionally Robust Bayesian Optimization with Continuous Context
by: Micheli, Francesco, et al.
Published: (2025)

When Child Inherits: Modeling and Exploiting Subagent Spawn in Multi-Agent Networks
by: Cai, Ziwen, et al.
Published: (2026)

In-Context Symbolic Regression for Robustness-Improved Kolmogorov-Arnold Networks
by: Sovrano, Francesco, et al.
Published: (2026)

Provable Robust Overfitting Mitigation in Wasserstein Distributionally Robust Optimization
by: Liu, Shuang, et al.
Published: (2025)

OATS: Outlier-Aware Pruning Through Sparse and Low Rank Decomposition
by: Zhang, Stephen, et al.
Published: (2024)

Pruning Large Language Models with Semi-Structural Adaptive Sparse Training
by: Huang, Weiyu, et al.
Published: (2024)

See the Speaker: Crafting High-Resolution Talking Faces from Speech with Prior Guidance and Region Refinement
by: Wang, Jinting, et al.
Published: (2025)

Safe Pruning LoRA: Robust Distance-Guided Pruning for Safety Alignment in Adaptation of LLMs
by: Ao, Shuang, et al.
Published: (2025)

Sparse Model Soups: A Recipe for Improved Pruning via Model Averaging
by: Zimmer, Max, et al.
Published: (2023)

UniPruning: Unifying Local Metric and Global Feedback for Scalable Sparse LLMs
by: Ding, Yizhuo, et al.
Published: (2025)

Quantifying Model Uniqueness in Heterogeneous AI Ecosystems
by: You, Lei
Published: (2026)

Entropic Causal Inference: Graph Identifiability
by: Compton, Spencer, et al.
Published: (2025)

Geometric Median (GM) Matching for Robust Data Pruning
by: Acharya, Anish, et al.
Published: (2024)

Sparse Regression for Machine Translation
by: Biçici, Ergun
Published: (2024)

Brain-Inspired Efficient Pruning: Exploiting Criticality in Spiking Neural Networks
by: Chen, Shuo, et al.
Published: (2023)

Layer Collapse Can be Induced by Unstructured Pruning
by: Liao, Zhu, et al.
Published: (2024)

Entropic Hetero-Associative Memory
by: Morales, Rafael, et al.
Published: (2024)