Guardado en:
| Autores principales: | Qi, Xuan, Wei, Yi, Yu, Fanqi, Shen, Furao, Murino, Vittorio, Beyan, Cigdem |
|---|---|
| Formato: | Preprint |
| Publicado: |
2026
|
| Materias: | |
| Acceso en línea: | https://arxiv.org/abs/2605.04946 |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
AffineLens: Capturing the Continuous Piecewise Affine Functions of Neural Networks
por: Wei, Yi, et al.
Publicado: (2026)
por: Wei, Yi, et al.
Publicado: (2026)
Region Seeding via Pre-Activation Regularization: A Geometric View of Piecewise Affine Neural Networks
por: Wei, Yi, et al.
Publicado: (2026)
por: Wei, Yi, et al.
Publicado: (2026)
Discriminator-Guided Adaptive Diffusion for Source-Free Test-Time Adaptation under Image Corruptions
por: Olivato, Francesco, et al.
Publicado: (2026)
por: Olivato, Francesco, et al.
Publicado: (2026)
Lifelong Imitation Learning with Multimodal Latent Replay and Incremental Adjustment
por: Yu, Fanqi, et al.
Publicado: (2026)
por: Yu, Fanqi, et al.
Publicado: (2026)
MADPOT: Medical Anomaly Detection with CLIP Adaptation and Partial Optimal Transport
por: Shiri, Mahshid, et al.
Publicado: (2025)
por: Shiri, Mahshid, et al.
Publicado: (2025)
HAC: Parameter-Efficient Hyperbolic Adaptation of CLIP for Zero-Shot VQA
por: Dibitonto, Francesco, et al.
Publicado: (2026)
por: Dibitonto, Francesco, et al.
Publicado: (2026)
MadCLIP: Few-shot Medical Anomaly Detection with CLIP
por: Shiri, Mahshid, et al.
Publicado: (2025)
por: Shiri, Mahshid, et al.
Publicado: (2025)
Upper-Body Pose-based Gaze Estimation for Privacy-Preserving 3D Gaze Target Detection
por: Toaiari, Andrea, et al.
Publicado: (2024)
por: Toaiari, Andrea, et al.
Publicado: (2024)
Stochastic Normalized Gradient Descent with Momentum for Large-Batch Training
por: Zhao, Shen-Yi, et al.
Publicado: (2020)
por: Zhao, Shen-Yi, et al.
Publicado: (2020)
Anticipating Next Active Objects for Egocentric Videos
por: Thakur, Sanket, et al.
Publicado: (2023)
por: Thakur, Sanket, et al.
Publicado: (2023)
Batch Normalization for Neural Networks on Complex Domains
por: Nguyen, Xuan Son, et al.
Publicado: (2026)
por: Nguyen, Xuan Son, et al.
Publicado: (2026)
Model Debiasing by Learnable Data Augmentation
por: Morerio, Pietro, et al.
Publicado: (2024)
por: Morerio, Pietro, et al.
Publicado: (2024)
RAM: Replace Attention with MLP for Efficient Multivariate Time Series Forecasting
por: Guo, Suhan, et al.
Publicado: (2024)
por: Guo, Suhan, et al.
Publicado: (2024)
Piecewise Normalizing Flows
por: Bevins, Harry, et al.
Publicado: (2023)
por: Bevins, Harry, et al.
Publicado: (2023)
PARQ: Piecewise-Affine Regularized Quantization
por: Jin, Lisa, et al.
Publicado: (2025)
por: Jin, Lisa, et al.
Publicado: (2025)
SPAT: Sensitivity-based Multihead-attention Pruning on Time Series Forecasting Models
por: Guo, Suhan, et al.
Publicado: (2025)
por: Guo, Suhan, et al.
Publicado: (2025)
Multi-Scale Dilated Convolution Network for Long-Term Time Series Forecasting
por: Li, Feifei, et al.
Publicado: (2024)
por: Li, Feifei, et al.
Publicado: (2024)
Smoothed Online Learning for Prediction in Piecewise Affine Systems
por: Block, Adam, et al.
Publicado: (2023)
por: Block, Adam, et al.
Publicado: (2023)
Dual Prototypes for Adaptive Pre-Trained Model in Class-Incremental Learning
por: Xu, Zhiming, et al.
Publicado: (2024)
por: Xu, Zhiming, et al.
Publicado: (2024)
Impact of Batch Normalization on Convolutional Network Representations
por: Potgieter, Hermanus L., et al.
Publicado: (2025)
por: Potgieter, Hermanus L., et al.
Publicado: (2025)
T-LLM: Teaching Large Language Models to Forecast Time Series via Temporal Distillation
por: Guo, Suhan, et al.
Publicado: (2026)
por: Guo, Suhan, et al.
Publicado: (2026)
Supervised Batch Normalization
por: Faye, Bilal, et al.
Publicado: (2024)
por: Faye, Bilal, et al.
Publicado: (2024)
Enhancing Epidemic Forecasting: Evaluating the Role of Mobility Data and Graph Convolutional Networks
por: Guo, Suhan, et al.
Publicado: (2025)
por: Guo, Suhan, et al.
Publicado: (2025)
ConceptFlow: Hierarchical and Fine-grained Concept-Based Explanation for Convolutional Neural Networks
por: Mu, Xinyu, et al.
Publicado: (2025)
por: Mu, Xinyu, et al.
Publicado: (2025)
Locally Near Optimal Piecewise Linear Regression in High Dimensions via Difference of Max-Affine Functions
por: Kanj, Haitham, et al.
Publicado: (2026)
por: Kanj, Haitham, et al.
Publicado: (2026)
Physics-inspired Energy Transition Neural Network for Sequence Learning
por: Wu, Zhou, et al.
Publicado: (2025)
por: Wu, Zhou, et al.
Publicado: (2025)
Adaptive Batch Normalization Networks for Adversarial Robustness
por: Lo, Shao-Yuan, et al.
Publicado: (2024)
por: Lo, Shao-Yuan, et al.
Publicado: (2024)
Batch Normalization Decomposed
por: Nachum, Ido, et al.
Publicado: (2024)
por: Nachum, Ido, et al.
Publicado: (2024)
Quantization through Piecewise-Affine Regularization: Optimization and Statistical Guarantees
por: Ma, Jianhao, et al.
Publicado: (2025)
por: Ma, Jianhao, et al.
Publicado: (2025)
Linear-Size Neural Network Representation of Piecewise Affine Functions in $\mathbb{R}^2$
por: Zanotti, Leo
Publicado: (2025)
por: Zanotti, Leo
Publicado: (2025)
Higher-Order Asymptotics of Test-Time Adaptation for Batch Normalization Statistics
por: Kimura, Masanari
Publicado: (2025)
por: Kimura, Masanari
Publicado: (2025)
Unraveling Batch Normalization for Realistic Test-Time Adaptation
por: Su, Zixian, et al.
Publicado: (2023)
por: Su, Zixian, et al.
Publicado: (2023)
Continuous-Time Piecewise-Linear Recurrent Neural Networks
por: Brändle, Alena, et al.
Publicado: (2026)
por: Brändle, Alena, et al.
Publicado: (2026)
Looking at Model Debiasing through the Lens of Anomaly Detection
por: Pastore, Vito Paolo, et al.
Publicado: (2024)
por: Pastore, Vito Paolo, et al.
Publicado: (2024)
Global and Preference-based Optimization with Mixed Variables using Piecewise Affine Surrogates
por: Zhu, Mengjia, et al.
Publicado: (2023)
por: Zhu, Mengjia, et al.
Publicado: (2023)
Data-driven Piecewise Affine Decision Rules for Stochastic Programming with Covariate Information
por: Zhang, Yiyang, et al.
Publicado: (2023)
por: Zhang, Yiyang, et al.
Publicado: (2023)
Making Batch Normalization Great in Federated Deep Learning
por: Zhong, Jike, et al.
Publicado: (2023)
por: Zhong, Jike, et al.
Publicado: (2023)
Identifiability of Potentially Degenerate Gaussian Mixture Models With Piecewise Affine Mixing
por: Xu, Danru, et al.
Publicado: (2026)
por: Xu, Danru, et al.
Publicado: (2026)
Overcoming the Challenges of Batch Normalization in Federated Learning
por: Guerraoui, Rachid, et al.
Publicado: (2024)
por: Guerraoui, Rachid, et al.
Publicado: (2024)
The Geometric Cost of Normalization: Affine Bounds on the Bayesian Complexity of Neural Networks
por: Chun, Sungbae
Publicado: (2026)
por: Chun, Sungbae
Publicado: (2026)
Ejemplares similares
-
AffineLens: Capturing the Continuous Piecewise Affine Functions of Neural Networks
por: Wei, Yi, et al.
Publicado: (2026) -
Region Seeding via Pre-Activation Regularization: A Geometric View of Piecewise Affine Neural Networks
por: Wei, Yi, et al.
Publicado: (2026) -
Discriminator-Guided Adaptive Diffusion for Source-Free Test-Time Adaptation under Image Corruptions
por: Olivato, Francesco, et al.
Publicado: (2026) -
Lifelong Imitation Learning with Multimodal Latent Replay and Incremental Adjustment
por: Yu, Fanqi, et al.
Publicado: (2026) -
MADPOT: Medical Anomaly Detection with CLIP Adaptation and Partial Optimal Transport
por: Shiri, Mahshid, et al.
Publicado: (2025)