Saved in:
| Main Authors: | Chen, Tiejin, Huang, Wenwang, Pang, Linsey, Luo, Dongsheng, Wei, Hua |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2403.06013 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
RobustNeRF: Ignoring Distractors with Robust Losses
by: Sabour, Sara, et al.
Published: (2023)
by: Sabour, Sara, et al.
Published: (2023)
Boosting Single Positive Multi-label Classification with Generalized Robust Loss
by: Chen, Yanxi, et al.
Published: (2024)
by: Chen, Yanxi, et al.
Published: (2024)
Robustness of Visual Explanations to Common Data Augmentation
by: Tětková, Lenka, et al.
Published: (2023)
by: Tětková, Lenka, et al.
Published: (2023)
The Geometry of Robustness: Optimizing Loss Landscape Curvature and Feature Manifold Alignment for Robust Finetuning of Vision-Language Models
by: Chopra, Shivang, et al.
Published: (2026)
by: Chopra, Shivang, et al.
Published: (2026)
Out-of-Domain Robustness via Targeted Augmentations
by: Gao, Irena, et al.
Published: (2023)
by: Gao, Irena, et al.
Published: (2023)
From Correlation to Causation: Max-Pooling-Based Multi-Instance Learning Leads to More Robust Whole Slide Image Classification
by: Liu, Xin, et al.
Published: (2024)
by: Liu, Xin, et al.
Published: (2024)
Towards Robust Uncertainty-Aware Incomplete Multi-View Classification
by: Chen, Mulin, et al.
Published: (2024)
by: Chen, Mulin, et al.
Published: (2024)
Beyond Loss Values: Robust Dynamic Pruning via Loss Trajectory Alignment
by: Qin, Huaiyuan, et al.
Published: (2026)
by: Qin, Huaiyuan, et al.
Published: (2026)
Adversarially Robust Industrial Anomaly Detection Through Diffusion Model
by: Cao, Yuanpu, et al.
Published: (2024)
by: Cao, Yuanpu, et al.
Published: (2024)
The Impact of Coreset Selection on Spurious Correlations and Group Robustness
by: Dharmasiri, Amaya, et al.
Published: (2025)
by: Dharmasiri, Amaya, et al.
Published: (2025)
Hyperbolic Structured Classification for Robust Single Positive Multi-label Learning
by: Lin, Yiming, et al.
Published: (2025)
by: Lin, Yiming, et al.
Published: (2025)
FERD: Fairness-Enhanced Data-Free Robustness Distillation
by: Li, Zhengxiao, et al.
Published: (2025)
by: Li, Zhengxiao, et al.
Published: (2025)
Physically-Induced Atmospheric Adversarial Perturbations: Enhancing Transferability and Robustness in Remote Sensing Image Classification
by: Zhuang, Weiwei, et al.
Published: (2026)
by: Zhuang, Weiwei, et al.
Published: (2026)
Which Models have Perceptually-Aligned Gradients? An Explanation via Off-Manifold Robustness
by: Srinivas, Suraj, et al.
Published: (2023)
by: Srinivas, Suraj, et al.
Published: (2023)
Learning Robust Classifiers with Self-Guided Spurious Correlation Mitigation
by: Zheng, Guangtao, et al.
Published: (2024)
by: Zheng, Guangtao, et al.
Published: (2024)
Improving Robustness to Multiple Spurious Correlations by Multi-Objective Optimization
by: Kim, Nayeong, et al.
Published: (2024)
by: Kim, Nayeong, et al.
Published: (2024)
Adversarial-Robust Transfer Learning for Medical Imaging via Domain Assimilation
by: Chen, Xiaohui, et al.
Published: (2024)
by: Chen, Xiaohui, et al.
Published: (2024)
Improving Robustness and Reliability in Medical Image Classification with Latent-Guided Diffusion and Nested-Ensembles
by: Shen, Xing, et al.
Published: (2023)
by: Shen, Xing, et al.
Published: (2023)
Characterizing Model Robustness via Natural Input Gradients
by: Rodríguez-Muñoz, Adrián, et al.
Published: (2024)
by: Rodríguez-Muñoz, Adrián, et al.
Published: (2024)
AugLoss: A Robust Augmentation-based Fine Tuning Methodology
by: Otstot, Kyle, et al.
Published: (2022)
by: Otstot, Kyle, et al.
Published: (2022)
Counterfactual Explanations on Robust Perceptual Geodesics
by: Zaher, Eslam, et al.
Published: (2026)
by: Zaher, Eslam, et al.
Published: (2026)
Robust Classification by Coupling Data Mollification with Label Smoothing
by: Heinonen, Markus, et al.
Published: (2024)
by: Heinonen, Markus, et al.
Published: (2024)
Class-Conditional Distribution Balancing for Group Robust Classification
by: Zhao, Miaoyun, et al.
Published: (2025)
by: Zhao, Miaoyun, et al.
Published: (2025)
Robust Classification of Oral Cancer with Limited Training Data
by: Sonawane, Akshay Bhagwan, et al.
Published: (2025)
by: Sonawane, Akshay Bhagwan, et al.
Published: (2025)
CodeMerge: Codebook-Guided Model Merging for Robust Test-Time Adaptation in Autonomous Driving
by: Yang, Huitong, et al.
Published: (2025)
by: Yang, Huitong, et al.
Published: (2025)
Is Last Layer Re-Training Truly Sufficient for Robustness to Spurious Correlations?
by: Le, Phuong Quynh, et al.
Published: (2023)
by: Le, Phuong Quynh, et al.
Published: (2023)
Understanding and Improving Training-free Loss-based Diffusion Guidance
by: Shen, Yifei, et al.
Published: (2024)
by: Shen, Yifei, et al.
Published: (2024)
Leveraging Expert Input for Robust and Explainable AI-Assisted Lung Cancer Detection in Chest X-rays
by: Rafferty, Amy, et al.
Published: (2024)
by: Rafferty, Amy, et al.
Published: (2024)
Robust Classification via a Single Diffusion Model
by: Chen, Huanran, et al.
Published: (2023)
by: Chen, Huanran, et al.
Published: (2023)
ExMap: Leveraging Explainability Heatmaps for Unsupervised Group Robustness to Spurious Correlations
by: Chakraborty, Rwiddhi, et al.
Published: (2024)
by: Chakraborty, Rwiddhi, et al.
Published: (2024)
Why Does It Look There? Structured Explanations for Image Classification
by: Li, Jiarui, et al.
Published: (2026)
by: Li, Jiarui, et al.
Published: (2026)
Learning Robust Convolutional Neural Networks with Relevant Feature Focusing via Explanations
by: Adachi, Kazuki, et al.
Published: (2022)
by: Adachi, Kazuki, et al.
Published: (2022)
Towards Class-wise Robustness Analysis
by: Medi, Tejaswini, et al.
Published: (2024)
by: Medi, Tejaswini, et al.
Published: (2024)
Correlation Analysis of Generative Models
by: Li, Zhengguo, et al.
Published: (2026)
by: Li, Zhengguo, et al.
Published: (2026)
Robustness and Visual Explanation for Black Box Image, Video, and ECG Signal Classification with Reinforcement Learning
by: Sarkar, Soumyendu, et al.
Published: (2024)
by: Sarkar, Soumyendu, et al.
Published: (2024)
CLoE: Curriculum Learning on Endoscopic Images for Robust MES Classification
by: Ozdemir, Zeynep, et al.
Published: (2025)
by: Ozdemir, Zeynep, et al.
Published: (2025)
Label Semantics for Robust Hyperspectral Image Classification
by: Hassan, Rafin, et al.
Published: (2025)
by: Hassan, Rafin, et al.
Published: (2025)
Expanding the Role of Diffusion Models for Robust Classifier Training
by: Huang, Pin-Han, et al.
Published: (2026)
by: Huang, Pin-Han, et al.
Published: (2026)
A Physics-Informed Loss Function for Boundary-Consistent and Robust Artery Segmentation in DSA Sequences
by: Irfan, Muhammad, et al.
Published: (2025)
by: Irfan, Muhammad, et al.
Published: (2025)
Intriguing Frequency Interpretation of Adversarial Robustness for CNNs and ViTs
by: Chen, Lu, et al.
Published: (2025)
by: Chen, Lu, et al.
Published: (2025)
Similar Items
-
RobustNeRF: Ignoring Distractors with Robust Losses
by: Sabour, Sara, et al.
Published: (2023) -
Boosting Single Positive Multi-label Classification with Generalized Robust Loss
by: Chen, Yanxi, et al.
Published: (2024) -
Robustness of Visual Explanations to Common Data Augmentation
by: Tětková, Lenka, et al.
Published: (2023) -
The Geometry of Robustness: Optimizing Loss Landscape Curvature and Feature Manifold Alignment for Robust Finetuning of Vision-Language Models
by: Chopra, Shivang, et al.
Published: (2026) -
Out-of-Domain Robustness via Targeted Augmentations
by: Gao, Irena, et al.
Published: (2023)