Rotation-Robust Regression with Convolutional Model Trees
Fuente:
arXiv
Saved in:
| Main Authors: | Li, Hongyi, Armstrong, William Ward, Xu, Jun |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Understanding Adversarial Robustness from Feature Maps of Convolutional Layers
by: Xu, Cong, et al.
Published: (2022)
by: Xu, Cong, et al.
Published: (2022)
Scaling Graph Convolutions for Mobile Vision
by: Avery, William, et al.
Published: (2024)
by: Avery, William, et al.
Published: (2024)
CRM: Single Image to 3D Textured Mesh with Convolutional Reconstruction Model
by: Wang, Zhengyi, et al.
Published: (2024)
by: Wang, Zhengyi, et al.
Published: (2024)
EHRDiff: Exploring Realistic EHR Synthesis with Diffusion Models
by: Yuan, Hongyi, et al.
Published: (2023)
by: Yuan, Hongyi, et al.
Published: (2023)
Artificial intelligence application in lymphoma diagnosis: from Convolutional Neural Network to Vision Transformer
by: Rivera, Daniel, et al.
Published: (2025)
by: Rivera, Daniel, et al.
Published: (2025)
MVAR: MultiVariate AutoRegressive Air Pollutants Forecasting Model
by: Fan, Xu, et al.
Published: (2025)
by: Fan, Xu, et al.
Published: (2025)
Feature Map Similarity Reduction in Convolutional Neural Networks
by: Belmekki, Zakariae, et al.
Published: (2024)
by: Belmekki, Zakariae, et al.
Published: (2024)
RCDM: Enabling Robustness for Conditional Diffusion Model
by: Xu, Weifeng, et al.
Published: (2024)
by: Xu, Weifeng, et al.
Published: (2024)
Convolutional Model Trees
by: Armstrong, William Ward, et al.
Published: (2025)
by: Armstrong, William Ward, et al.
Published: (2025)
Towards High-Fidelity Gaussian Splatting with Queried-Convolution Neural Networks
by: Kumar, Abhinav, et al.
Published: (2025)
by: Kumar, Abhinav, et al.
Published: (2025)
Beyond the Permutation Symmetry of Transformers: The Role of Rotation for Model Fusion
by: Zhang, Binchi, et al.
Published: (2025)
by: Zhang, Binchi, et al.
Published: (2025)
Robust Convolution Neural ODEs via Contractivity-promoting regularization
by: Zakwan, Muhammad, et al.
Published: (2025)
by: Zakwan, Muhammad, et al.
Published: (2025)
Robust-DefReg: A Robust Deformable Point Cloud Registration Method based on Graph Convolutional Neural Networks
by: Monji-Azad, Sara, et al.
Published: (2023)
by: Monji-Azad, Sara, et al.
Published: (2023)
Emotion Recognition Using Convolutional Neural Networks
by: Xu, Shaoyuan, et al.
Published: (2025)
by: Xu, Shaoyuan, et al.
Published: (2025)
Continuity-Preserving Convolutional Autoencoders for Learning Continuous Latent Dynamical Models from Images
by: Zhu, Aiqing, et al.
Published: (2025)
by: Zhu, Aiqing, et al.
Published: (2025)
Variational Partial Group Convolutions for Input-Aware Partial Equivariance of Rotations and Color-Shifts
by: Kim, Hyunsu, et al.
Published: (2024)
by: Kim, Hyunsu, et al.
Published: (2024)
Reparameterized Multi-Resolution Convolutions for Long Sequence Modelling
by: Cunningham, Harry Jake, et al.
Published: (2024)
by: Cunningham, Harry Jake, et al.
Published: (2024)
Large Convolutional Model Tuning via Filter Subspace
by: Chen, Wei, et al.
Published: (2024)
by: Chen, Wei, et al.
Published: (2024)
Foundation Model-oriented Robustness: Robust Image Model Evaluation with Pretrained Models
by: Zhang, Peiyan, et al.
Published: (2023)
by: Zhang, Peiyan, et al.
Published: (2023)
Privacy Attacks on Image AutoRegressive Models
by: Kowalczuk, Antoni, et al.
Published: (2025)
by: Kowalczuk, Antoni, et al.
Published: (2025)
RandAlign: A Parameter-Free Method for Regularizing Graph Convolutional Networks
by: Zhang, Haimin, et al.
Published: (2024)
by: Zhang, Haimin, et al.
Published: (2024)
Unlocking Noise-Resistant Vision: Key Architectural Secrets for Robust Models
by: Kim, Bum Jun, et al.
Published: (2025)
by: Kim, Bum Jun, et al.
Published: (2025)
SRE-Conv: Symmetric Rotation Equivariant Convolution for Biomedical Image Classification
by: Du, Yuexi, et al.
Published: (2025)
by: Du, Yuexi, et al.
Published: (2025)
Your Diffusion Model is Secretly a Certifiably Robust Classifier
by: Chen, Huanran, et al.
Published: (2024)
by: Chen, Huanran, et al.
Published: (2024)
Feed Two Birds with One Scone: Exploiting Function-Space Regularization for Both OOD Robustness and ID Fine-Tuning Performance
by: Yuan, Xiang, et al.
Published: (2025)
by: Yuan, Xiang, et al.
Published: (2025)
Image Restoration Using Deep Regulated Convolutional Networks
by: Liu, Peng, et al.
Published: (2019)
by: Liu, Peng, et al.
Published: (2019)
Convolutional Rectangular Attention Module
by: Nguyen, Hai-Vy, et al.
Published: (2025)
by: Nguyen, Hai-Vy, et al.
Published: (2025)
Kernel Normalized Convolutional Networks
by: Nasirigerdeh, Reza, et al.
Published: (2022)
by: Nasirigerdeh, Reza, et al.
Published: (2022)
On the Efficiency of Convolutional Neural Networks
by: Lavin, Andrew
Published: (2024)
by: Lavin, Andrew
Published: (2024)
Convolution Meets LoRA: Parameter Efficient Finetuning for Segment Anything Model
by: Zhong, Zihan, et al.
Published: (2024)
by: Zhong, Zihan, et al.
Published: (2024)
Restructuring Vector Quantization with the Rotation Trick
by: Fifty, Christopher, et al.
Published: (2024)
by: Fifty, Christopher, et al.
Published: (2024)
Q-PART: Quasi-Periodic Adaptive Regression with Test-time Training for Pediatric Left Ventricular Ejection Fraction Regression
by: Liu, Jie, et al.
Published: (2025)
by: Liu, Jie, et al.
Published: (2025)
Verifying Robust Unlearning: Probing Residual Knowledge in Unlearned Models
by: Xuan, Hao, et al.
Published: (2025)
by: Xuan, Hao, et al.
Published: (2025)
Benchmarking Convolutional, Transformer, Hybrid, and Vision Language Models for Multi Disease Retinal Screening
by: Dey, Durjoy, et al.
Published: (2026)
by: Dey, Durjoy, et al.
Published: (2026)
Revolutionizing Wildfire Detection with Convolutional Neural Networks: A VGG16 Model Approach
by: Malladi, Lakshmi Aishwarya, et al.
Published: (2025)
by: Malladi, Lakshmi Aishwarya, et al.
Published: (2025)
Reservoir-Based Graph Convolutional Networks
by: Soussia, Mayssa, et al.
Published: (2026)
by: Soussia, Mayssa, et al.
Published: (2026)
Network Inversion of Convolutional Neural Nets
by: Suhail, Pirzada, et al.
Published: (2024)
by: Suhail, Pirzada, et al.
Published: (2024)
Convolutional Differentiable Logic Gate Networks
by: Petersen, Felix, et al.
Published: (2024)
by: Petersen, Felix, et al.
Published: (2024)
Optimizing Convolutional Neural Network Architecture
by: Balderas, Luis, et al.
Published: (2023)
by: Balderas, Luis, et al.
Published: (2023)
Dendritic Convolution for Noise Image Recognition
by: Xue, Jiarui, et al.
Published: (2025)
by: Xue, Jiarui, et al.
Published: (2025)
Similar Items
-
Understanding Adversarial Robustness from Feature Maps of Convolutional Layers
by: Xu, Cong, et al.
Published: (2022) -
Scaling Graph Convolutions for Mobile Vision
by: Avery, William, et al.
Published: (2024) -
CRM: Single Image to 3D Textured Mesh with Convolutional Reconstruction Model
by: Wang, Zhengyi, et al.
Published: (2024) -
EHRDiff: Exploring Realistic EHR Synthesis with Diffusion Models
by: Yuan, Hongyi, et al.
Published: (2023) -
Artificial intelligence application in lymphoma diagnosis: from Convolutional Neural Network to Vision Transformer
by: Rivera, Daniel, et al.
Published: (2025)