:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Wei, Yi, Qi, Xuan, Shen, Furao, Zhao, Jian, Murino, Vittorio, Beyan, Cigdem
Format:	Preprint
Published:	2026
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2605.06218
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Training-Time Batch Normalization Reshapes Local Partition Geometry in Piecewise-Affine Networks
by: Qi, Xuan, et al.
Published: (2026)

Region Seeding via Pre-Activation Regularization: A Geometric View of Piecewise Affine Neural Networks
by: Wei, Yi, et al.
Published: (2026)

Discriminator-Guided Adaptive Diffusion for Source-Free Test-Time Adaptation under Image Corruptions
by: Olivato, Francesco, et al.
Published: (2026)

HAC: Parameter-Efficient Hyperbolic Adaptation of CLIP for Zero-Shot VQA
by: Dibitonto, Francesco, et al.
Published: (2026)

MADPOT: Medical Anomaly Detection with CLIP Adaptation and Partial Optimal Transport
by: Shiri, Mahshid, et al.
Published: (2025)

MadCLIP: Few-shot Medical Anomaly Detection with CLIP
by: Shiri, Mahshid, et al.
Published: (2025)

Upper-Body Pose-based Gaze Estimation for Privacy-Preserving 3D Gaze Target Detection
by: Toaiari, Andrea, et al.
Published: (2024)

Linear-Size Neural Network Representation of Piecewise Affine Functions in $\mathbb{R}^2$
by: Zanotti, Leo
Published: (2025)

PARQ: Piecewise-Affine Regularized Quantization
by: Jin, Lisa, et al.
Published: (2025)

Smoothed Online Learning for Prediction in Piecewise Affine Systems
by: Block, Adam, et al.
Published: (2023)

Affine Invariance in Continuous-Domain Convolutional Neural Networks
by: Mohaddes, Ali, et al.
Published: (2023)

Lifelong Imitation Learning with Multimodal Latent Replay and Incremental Adjustment
by: Yu, Fanqi, et al.
Published: (2026)

ConceptFlow: Hierarchical and Fine-grained Concept-Based Explanation for Convolutional Neural Networks
by: Mu, Xinyu, et al.
Published: (2025)

Data-driven Piecewise Affine Decision Rules for Stochastic Programming with Covariate Information
by: Zhang, Yiyang, et al.
Published: (2023)

Physics-inspired Energy Transition Neural Network for Sequence Learning
by: Wu, Zhou, et al.
Published: (2025)

Quantization through Piecewise-Affine Regularization: Optimization and Statistical Guarantees
by: Ma, Jianhao, et al.
Published: (2025)

Anticipating Next Active Objects for Egocentric Videos
by: Thakur, Sanket, et al.
Published: (2023)

Locally Near Optimal Piecewise Linear Regression in High Dimensions via Difference of Max-Affine Functions
by: Kanj, Haitham, et al.
Published: (2026)

Identifiability of Potentially Degenerate Gaussian Mixture Models With Piecewise Affine Mixing
by: Xu, Danru, et al.
Published: (2026)

Global and Preference-based Optimization with Mixed Variables using Piecewise Affine Surrogates
by: Zhu, Mengjia, et al.
Published: (2023)

Looking at Model Debiasing through the Lens of Anomaly Detection
by: Pastore, Vito Paolo, et al.
Published: (2024)

Refusal in LLMs is an Affine Function
by: Marshall, Thomas, et al.
Published: (2024)

Enhancing Epidemic Forecasting: Evaluating the Role of Mobility Data and Graph Convolutional Networks
by: Guo, Suhan, et al.
Published: (2025)

Pushing the Limits of Distillation-Based Continual Learning via Classifier-Proximal Lightweight Plugins
by: Xu, Zhiming, et al.
Published: (2025)

Model Debiasing by Learnable Data Augmentation
by: Morerio, Pietro, et al.
Published: (2024)

AffineQuant: Affine Transformation Quantization for Large Language Models
by: Ma, Yuexiao, et al.
Published: (2024)

SPAT: Sensitivity-based Multihead-attention Pruning on Time Series Forecasting Models
by: Guo, Suhan, et al.
Published: (2025)

RAM: Replace Attention with MLP for Efficient Multivariate Time Series Forecasting
by: Guo, Suhan, et al.
Published: (2024)

Safe Neural Control for Non-Affine Control Systems with Differentiable Control Barrier Functions
by: Xiao, Wei, et al.
Published: (2023)

Parameterized Complexity of Stationarity Testing for Piecewise-Affine Functions and Shallow CNN Losses
by: Ye, Yuhan
Published: (2026)

Multi-Scale Dilated Convolution Network for Long-Term Time Series Forecasting
by: Li, Feifei, et al.
Published: (2024)

The Geometric Cost of Normalization: Affine Bounds on the Bayesian Complexity of Neural Networks
by: Chun, Sungbae
Published: (2026)

Continuous-Time Piecewise-Linear Recurrent Neural Networks
by: Brändle, Alena, et al.
Published: (2026)

mPOLICE: Provable Enforcement of Multi-Region Affine Constraints in Deep Neural Networks
by: Ataei, Mohammadmehdi, et al.
Published: (2025)

Affine Invariant Ensemble Transform Methods to Improve Predictive Uncertainty in Neural Networks
by: Bhandari, Diksha, et al.
Published: (2023)

RL-Selector: Reinforcement Learning-Guided Data Selection via Redundancy Assessment
by: Yang, Suorong, et al.
Published: (2025)

Bounds on the Number of Pieces in Continuous Piecewise Affine Functions
by: Zanotti, Leo
Published: (2025)

Convergence Guarantees for RMSProp and Adam in Generalized-smooth Non-convex Optimization with Affine Noise Variance
by: Zhang, Qi, et al.
Published: (2024)

Towards Realistic Class-Incremental Learning with Free-Flow Increments
by: Xu, Zhiming, et al.
Published: (2026)

Dual Prototypes for Adaptive Pre-Trained Model in Class-Incremental Learning
by: Xu, Zhiming, et al.
Published: (2024)