Smaller is Better: Enhancing Transparency in Vehicle AI Systems via Pruning
Fuente:
arXiv
Saved in:
| Main Authors: | Suwal, Sanish, Garg, Shaurya, Bhusal, Dipkamal, Clifford, Michael, Rastogi, Nidhi |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Do Sparse Subnetworks Exhibit Cognitively Aligned Attention? Effects of Pruning on Saliency Map Fidelity, Sparsity, and Concept Coherence
by: Suwal, Sanish, et al.
Published: (2025)
by: Suwal, Sanish, et al.
Published: (2025)
FACE: Faithful Automatic Concept Extraction
by: Bhusal, Dipkamal, et al.
Published: (2025)
by: Bhusal, Dipkamal, et al.
Published: (2025)
H-Sets: Hessian-Guided Discovery of Set-Level Feature Interactions in Image Classifiers
by: Mehrotra, Ayushi, et al.
Published: (2026)
by: Mehrotra, Ayushi, et al.
Published: (2026)
Training for Trustworthy Saliency Maps: Adversarial Training Meets Feature-Map Smoothing
by: Bhusal, Dipkamal, et al.
Published: (2026)
by: Bhusal, Dipkamal, et al.
Published: (2026)
Learning to Look: Cognitive Attention Alignment with Vision-Language Models
by: Yang, Ryan L., et al.
Published: (2025)
by: Yang, Ryan L., et al.
Published: (2025)
Concept-Based Masking: A Patch-Agnostic Defense Against Adversarial Patch Attacks
by: Mehrotra, Ayushi, et al.
Published: (2025)
by: Mehrotra, Ayushi, et al.
Published: (2025)
Multi-Label Classification of Thoracic Diseases using Dense Convolutional Network on Chest Radiographs
by: Bhusal, Dipkamal, et al.
Published: (2022)
by: Bhusal, Dipkamal, et al.
Published: (2022)
Adversarial Patterns: Building Robust Android Malware Classifiers
by: Bhusal, Dipkamal, et al.
Published: (2022)
by: Bhusal, Dipkamal, et al.
Published: (2022)
Gun Detection Using Combined Human Pose and Weapon Appearance
by: Maligireddy, Amulya Reddy, et al.
Published: (2025)
by: Maligireddy, Amulya Reddy, et al.
Published: (2025)
High-Fidelity Digital Twins for Bridging the Sim2Real Gap in LiDAR-Based ITS Perception
by: Shahbaz, Muhammad, et al.
Published: (2025)
by: Shahbaz, Muhammad, et al.
Published: (2025)
LiGuard: A Streamlined Open-Source Framework for Rapid & Interactive Lidar Research
by: Shahbaz, Muhammad, et al.
Published: (2025)
by: Shahbaz, Muhammad, et al.
Published: (2025)
UrbanTwin: Synthetic Roadside LiDAR Datasets
by: Shahbaz, Muhammad, et al.
Published: (2025)
by: Shahbaz, Muhammad, et al.
Published: (2025)
UrbanTwin: Building High-Fidelity Digital Twins for Sim2Real LiDAR Perception and Evaluation
by: Shahbaz, Muhammad, et al.
Published: (2025)
by: Shahbaz, Muhammad, et al.
Published: (2025)
Are AI-Generated Driving Videos Ready for Autonomous Driving? A Diagnostic Evaluation Framework
by: Xiang, Xinhao, et al.
Published: (2025)
by: Xiang, Xinhao, et al.
Published: (2025)
The Better You Learn, The Smarter You Prune: Towards Efficient Vision-language-action Models via Differentiable Token Pruning
by: Jiang, Titong, et al.
Published: (2025)
by: Jiang, Titong, et al.
Published: (2025)
R+R: Revisiting Static Feature-Based Android Malware Detection using Machine Learning
by: Alam, Md Tanvirul, et al.
Published: (2024)
by: Alam, Md Tanvirul, et al.
Published: (2024)
ATAC-Net: Zoomed view works better for Anomaly Detection
by: Gupta, Shaurya, et al.
Published: (2024)
by: Gupta, Shaurya, et al.
Published: (2024)
All Patches Matter, More Patches Better: Enhance AI-Generated Image Detection via Panoptic Patch Learning
by: Yang, Zheng, et al.
Published: (2025)
by: Yang, Zheng, et al.
Published: (2025)
Distilling ODE Solvers of Diffusion Models into Smaller Steps
by: Kim, Sanghwan, et al.
Published: (2023)
by: Kim, Sanghwan, et al.
Published: (2023)
DINOSTAR: Deep Iterative Neural Object Detector Self-Supervised Training for Roadside LiDAR Applications
by: Shahbaz, Muhammad, et al.
Published: (2025)
by: Shahbaz, Muhammad, et al.
Published: (2025)
Enhancing Track Management Systems with Vehicle-To-Vehicle Enabled Sensor Fusion
by: Billington, Thomas, et al.
Published: (2024)
by: Billington, Thomas, et al.
Published: (2024)
Automated Construction of Time-Space Diagrams for Traffic Analysis Using Street-View Video Sequence
by: Rastogi, Tanay, et al.
Published: (2023)
by: Rastogi, Tanay, et al.
Published: (2023)
CompGS: Smaller and Faster Gaussian Splatting with Vector Quantization
by: Navaneet, KL, et al.
Published: (2023)
by: Navaneet, KL, et al.
Published: (2023)
DiffusionPID: Interpreting Diffusion via Partial Information Decomposition
by: Zawar, Rushikesh, et al.
Published: (2024)
by: Zawar, Rushikesh, et al.
Published: (2024)
Fast-FoundationStereo: Real-Time Zero-Shot Stereo Matching
by: Wen, Bowen, et al.
Published: (2025)
by: Wen, Bowen, et al.
Published: (2025)
SPHINX: A Synthetic Environment for Visual Perception and Reasoning
by: Alam, Md Tanvirul, et al.
Published: (2025)
by: Alam, Md Tanvirul, et al.
Published: (2025)
Evolutionary Negative Module Pruning for Better LoRA Merging
by: Cao, Anda, et al.
Published: (2026)
by: Cao, Anda, et al.
Published: (2026)
VERITAS: Verification and Explanation of Realness in Images for Transparency in AI Systems
by: Srivastava, Aadi, et al.
Published: (2025)
by: Srivastava, Aadi, et al.
Published: (2025)
Exploiting Alpha Transparency In Language And Vision-Based AI Systems
by: Noever, David, et al.
Published: (2024)
by: Noever, David, et al.
Published: (2024)
Block Pruning for Enhanced Efficiency in Convolutional Neural Networks
by: Wu, Cheng-En, et al.
Published: (2023)
by: Wu, Cheng-En, et al.
Published: (2023)
Token Pruning for Caching Better: 9 Times Acceleration on Stable Diffusion for Free
by: Zhang, Evelyn, et al.
Published: (2024)
by: Zhang, Evelyn, et al.
Published: (2024)
SlimFlow: Training Smaller One-Step Diffusion Models with Rectified Flow
by: Zhu, Yuanzhi, et al.
Published: (2024)
by: Zhu, Yuanzhi, et al.
Published: (2024)
Backdoor Mitigation via Invertible Pruning Masks
by: Dunnett, Kealan, et al.
Published: (2025)
by: Dunnett, Kealan, et al.
Published: (2025)
Adaptive Training of INRs via Pruning and Densification
by: Aldana, Diana, et al.
Published: (2025)
by: Aldana, Diana, et al.
Published: (2025)
DocPrune:Efficient Document Question Answering via Background, Question, and Comprehension-aware Token Pruning
by: Choi, Joonmyung, et al.
Published: (2026)
by: Choi, Joonmyung, et al.
Published: (2026)
Enhance-A-Video: Better Generated Video for Free
by: Luo, Yang, et al.
Published: (2025)
by: Luo, Yang, et al.
Published: (2025)
TinyLLaVA-Video-R1: Towards Smaller LMMs for Video Reasoning
by: Zhang, Xingjian, et al.
Published: (2025)
by: Zhang, Xingjian, et al.
Published: (2025)
TinyLLaVA-Video: Towards Smaller LMMs for Video Understanding with Group Resampler
by: Zhang, Xingjian, et al.
Published: (2025)
by: Zhang, Xingjian, et al.
Published: (2025)
ZOO-Prune: Training-Free Token Pruning via Zeroth-Order Gradient Estimation in Vision-Language Models
by: Kim, Youngeun, et al.
Published: (2025)
by: Kim, Youngeun, et al.
Published: (2025)
Cross-Resolution Diffusion Models via Network Pruning
by: Ren, Jiaxuan, et al.
Published: (2026)
by: Ren, Jiaxuan, et al.
Published: (2026)
Similar Items
-
Do Sparse Subnetworks Exhibit Cognitively Aligned Attention? Effects of Pruning on Saliency Map Fidelity, Sparsity, and Concept Coherence
by: Suwal, Sanish, et al.
Published: (2025) -
FACE: Faithful Automatic Concept Extraction
by: Bhusal, Dipkamal, et al.
Published: (2025) -
H-Sets: Hessian-Guided Discovery of Set-Level Feature Interactions in Image Classifiers
by: Mehrotra, Ayushi, et al.
Published: (2026) -
Training for Trustworthy Saliency Maps: Adversarial Training Meets Feature-Map Smoothing
by: Bhusal, Dipkamal, et al.
Published: (2026) -
Learning to Look: Cognitive Attention Alignment with Vision-Language Models
by: Yang, Ryan L., et al.
Published: (2025)