Bi-Orthogonal Factor Decomposition for Vision Transformers
Fuente:
arXiv
Saved in:
| Main Authors: | Doshi, Fenil R., Fel, Thomas, Konkle, Talia, Alvarez, George |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Visual Anagrams Reveal Hidden Differences in Holistic Shape Processing Across Vision Models
by: Doshi, Fenil R., et al.
Published: (2025)
by: Doshi, Fenil R., et al.
Published: (2025)
Feature Accentuation: Revealing 'What' Features Respond to in Natural Images
by: Hamblin, Chris, et al.
Published: (2024)
by: Hamblin, Chris, et al.
Published: (2024)
Sparks of Explainability: Recent Advancements in Explaining Large Vision Models
by: Fel, Thomas
Published: (2025)
by: Fel, Thomas
Published: (2025)
Into the Rabbit Hull: From Task-Relevant Concepts in DINO to Minkowski Geometry
by: Fel, Thomas, et al.
Published: (2025)
by: Fel, Thomas, et al.
Published: (2025)
Block-Recurrent Dynamics in Vision Transformers
by: Jacobs, Mozes, et al.
Published: (2025)
by: Jacobs, Mozes, et al.
Published: (2025)
Understanding Inhibition Through Maximally Tense Images
by: Hamblin, Chris, et al.
Published: (2024)
by: Hamblin, Chris, et al.
Published: (2024)
Orthogonal Quadratic Complements for Vision Transformer Feed-Forward Networks
by: Zixian, Wang
Published: (2026)
by: Zixian, Wang
Published: (2026)
Efficient Adaptation of Pre-trained Vision Transformer underpinned by Approximately Orthogonal Fine-Tuning Strategy
by: Yang, Yiting, et al.
Published: (2025)
by: Yang, Yiting, et al.
Published: (2025)
FOVI: A biologically-inspired foveated interface for deep vision models
by: Blauch, Nicholas M., et al.
Published: (2026)
by: Blauch, Nicholas M., et al.
Published: (2026)
Understanding Visual Feature Reliance through the Lens of Complexity
by: Fel, Thomas, et al.
Published: (2024)
by: Fel, Thomas, et al.
Published: (2024)
Archetypal SAE: Adaptive and Stable Dictionary Learning for Concept Extraction in Large Vision Models
by: Fel, Thomas, et al.
Published: (2025)
by: Fel, Thomas, et al.
Published: (2025)
Back to the Baseline: Examining Baseline Effects on Explainability Metrics
by: Picard, Agustin Martin, et al.
Published: (2025)
by: Picard, Agustin Martin, et al.
Published: (2025)
Group Orthogonalization Regularization For Vision Models Adaptation and Robustness
by: Kurtz, Yoav, et al.
Published: (2023)
by: Kurtz, Yoav, et al.
Published: (2023)
A Geometric Unification of Concept Learning with Concept Cones
by: Rocchi--Henry, Alexandre, et al.
Published: (2025)
by: Rocchi--Henry, Alexandre, et al.
Published: (2025)
Uncovering Conceptual Blindspots in Generative Image Models Using Sparse Autoencoders
by: Bohacek, Matyas, et al.
Published: (2025)
by: Bohacek, Matyas, et al.
Published: (2025)
CLQ: Cross-Layer Guided Orthogonal-based Quantization for Diffusion Transformers
by: Liu, Kai, et al.
Published: (2025)
by: Liu, Kai, et al.
Published: (2025)
Visual IRL for Human-Like Robotic Manipulation
by: Asali, Ehsan, et al.
Published: (2024)
by: Asali, Ehsan, et al.
Published: (2024)
Beyond the Doors of Perception: Vision Transformers Represent Relations Between Objects
by: Lepori, Michael A., et al.
Published: (2024)
by: Lepori, Michael A., et al.
Published: (2024)
Interpreting Physics in Video World Models
by: Joseph, Sonia, et al.
Published: (2026)
by: Joseph, Sonia, et al.
Published: (2026)
Let's Roll a BiFTA: Bi-refinement for Fine-grained Text-visual Alignment in Vision-Language Models
by: Sun, Yuhao, et al.
Published: (2026)
by: Sun, Yuhao, et al.
Published: (2026)
Compressing Vision Transformers in Geospatial Transfer Learning with Manifold-Constrained Optimization
by: Snyder, Thomas, et al.
Published: (2026)
by: Snyder, Thomas, et al.
Published: (2026)
Benchmarking Unlearning for Vision Transformers
by: Zhao, Kairan, et al.
Published: (2026)
by: Zhao, Kairan, et al.
Published: (2026)
Vision Bridge Transformer at Scale
by: Tan, Zhenxiong, et al.
Published: (2025)
by: Tan, Zhenxiong, et al.
Published: (2025)
Saliency strikes back: How filtering out high frequencies improves white-box explanations
by: Muzellec, Sabine, et al.
Published: (2023)
by: Muzellec, Sabine, et al.
Published: (2023)
Bridging the Rural Healthcare Gap: A Cascaded Edge-Cloud Architecture for Automated Retinal Screening
by: Doshi, Nishi, et al.
Published: (2026)
by: Doshi, Nishi, et al.
Published: (2026)
Weierstrass Positional Encoding for Vision Transformers
by: Xin, Zhihang, et al.
Published: (2026)
by: Xin, Zhihang, et al.
Published: (2026)
The Linear Attention Resurrection in Vision Transformer
by: Zheng, Chuanyang
Published: (2025)
by: Zheng, Chuanyang
Published: (2025)
Sensitive Image Classification by Vision Transformers
by: He, Hanxian, et al.
Published: (2024)
by: He, Hanxian, et al.
Published: (2024)
Spiking Vision Transformer with Saccadic Attention
by: Wang, Shuai, et al.
Published: (2025)
by: Wang, Shuai, et al.
Published: (2025)
Sub-DM:Subspace Diffusion Model with Orthogonal Decomposition for MRI Reconstruction
by: Guan, Yu, et al.
Published: (2024)
by: Guan, Yu, et al.
Published: (2024)
Efficient Adaptation of Pre-trained Vision Transformer via Householder Transformation
by: Dong, Wei, et al.
Published: (2024)
by: Dong, Wei, et al.
Published: (2024)
DiffDecompose: Layer-Wise Decomposition of Alpha-Composited Images via Diffusion Transformers
by: Wang, Zitong, et al.
Published: (2025)
by: Wang, Zitong, et al.
Published: (2025)
I Walk the Line: Examining the Role of Gestalt Continuity in Object Binding for Vision Transformers
by: Tartaglini, Alexa R., et al.
Published: (2026)
by: Tartaglini, Alexa R., et al.
Published: (2026)
Vision-Language Introspection: Mitigating Overconfident Hallucinations in MLLMs via Interpretable Bi-Causal Steering
by: Liu, Shuliang, et al.
Published: (2026)
by: Liu, Shuliang, et al.
Published: (2026)
Attention Retention for Continual Learning with Vision Transformers
by: Lu, Yue, et al.
Published: (2026)
by: Lu, Yue, et al.
Published: (2026)
Accelerating Vision Transformers on Brain Processing Unit
by: Tang, Jinchi, et al.
Published: (2026)
by: Tang, Jinchi, et al.
Published: (2026)
Mixed Non-linear Quantization for Vision Transformers
by: Kim, Gihwan, et al.
Published: (2024)
by: Kim, Gihwan, et al.
Published: (2024)
Decoding Vision Transformers: the Diffusion Steering Lens
by: Takatsuki, Ryota, et al.
Published: (2025)
by: Takatsuki, Ryota, et al.
Published: (2025)
Vision Transformers Don't Need Trained Registers
by: Jiang, Nick, et al.
Published: (2025)
by: Jiang, Nick, et al.
Published: (2025)
[Re] Improving Interpretation Faithfulness for Vision Transformers
by: Kurek, Izabela, et al.
Published: (2025)
by: Kurek, Izabela, et al.
Published: (2025)
Similar Items
-
Visual Anagrams Reveal Hidden Differences in Holistic Shape Processing Across Vision Models
by: Doshi, Fenil R., et al.
Published: (2025) -
Feature Accentuation: Revealing 'What' Features Respond to in Natural Images
by: Hamblin, Chris, et al.
Published: (2024) -
Sparks of Explainability: Recent Advancements in Explaining Large Vision Models
by: Fel, Thomas
Published: (2025) -
Into the Rabbit Hull: From Task-Relevant Concepts in DINO to Minkowski Geometry
by: Fel, Thomas, et al.
Published: (2025) -
Block-Recurrent Dynamics in Vision Transformers
by: Jacobs, Mozes, et al.
Published: (2025)