Saved in:
| Main Authors: | Sadiku, Shpresim, Chitranshi, Kartikeya, Kera, Hiroshi, Pokutta, Sebastian |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2505.16583 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
S-CFE: Simple Counterfactual Explanations
by: Sadiku, Shpresim, et al.
Published: (2024)
by: Sadiku, Shpresim, et al.
Published: (2024)
GSE: Group-wise Sparse and Explainable Adversarial Attacks
by: Sadiku, Shpresim, et al.
Published: (2023)
by: Sadiku, Shpresim, et al.
Published: (2023)
Computational Algebra with Attention: Transformer Oracles for Border Basis Algorithms
by: Kera, Hiroshi, et al.
Published: (2025)
by: Kera, Hiroshi, et al.
Published: (2025)
Identifying Spurious Correlations using Counterfactual Alignment
by: Cohen, Joseph Paul, et al.
Published: (2023)
by: Cohen, Joseph Paul, et al.
Published: (2023)
Unsupervised Identification and Removal of Spurious Correlations During Fine-Tuning
by: Gilligan-Lee, Ciarán M., et al.
Published: (2026)
by: Gilligan-Lee, Ciarán M., et al.
Published: (2026)
Counterfactual Training: Teaching Models Plausible and Actionable Explanations
by: Altmeyer, Patrick, et al.
Published: (2026)
by: Altmeyer, Patrick, et al.
Published: (2026)
Adversarial Training from Mean Field Perspective
by: Kumano, Soichiro, et al.
Published: (2025)
by: Kumano, Soichiro, et al.
Published: (2025)
Adversarially Trained Object Detector for Unsupervised Domain Adaptation
by: Fujii, Kazuma, et al.
Published: (2021)
by: Fujii, Kazuma, et al.
Published: (2021)
Plausible Counterfactual Explanations of Recommendations
by: Černý, Jakub, et al.
Published: (2025)
by: Černý, Jakub, et al.
Published: (2025)
Removing Spurious Correlation from Neural Network Interpretations
by: Fotouhi, Milad, et al.
Published: (2024)
by: Fotouhi, Milad, et al.
Published: (2024)
Scalable DC Optimization via Adaptive Frank-Wolfe Algorithms
by: Pokutta, Sebastian
Published: (2025)
by: Pokutta, Sebastian
Published: (2025)
From Invariant Representations to Invariant Data: Provable Robustness to Spurious Correlations via Noisy Counterfactual Matching
by: Bai, Ruqi, et al.
Published: (2025)
by: Bai, Ruqi, et al.
Published: (2025)
Compression-aware Training of Neural Networks using Frank-Wolfe
by: Zimmer, Max, et al.
Published: (2022)
by: Zimmer, Max, et al.
Published: (2022)
Mitigating Spurious Correlations in NLI via LLM-Synthesized Counterfactuals and Dynamic Balanced Sampling
by: Jaimes, Christopher Román
Published: (2025)
by: Jaimes, Christopher Román
Published: (2025)
Mitigating Spurious Correlations in LLMs via Causality-Aware Post-Training
by: Gui, Shurui, et al.
Published: (2025)
by: Gui, Shurui, et al.
Published: (2025)
Discovering Learning-Friendly Generation Orders for Sequential Computation
by: Sato, Yuta, et al.
Published: (2025)
by: Sato, Yuta, et al.
Published: (2025)
Probabilistically Plausible Counterfactual Explanations with Normalizing Flows
by: Wielopolski, Patryk, et al.
Published: (2024)
by: Wielopolski, Patryk, et al.
Published: (2024)
VarteX: Enhancing Weather Forecast through Distributed Variable Representation
by: Ueyama, Ayumu, et al.
Published: (2024)
by: Ueyama, Ayumu, et al.
Published: (2024)
Guided Diffusion Sampling for Precipitation Forecast Interventions
by: Ueyama, Ayumu, et al.
Published: (2026)
by: Ueyama, Ayumu, et al.
Published: (2026)
Conditional Gradients for the Approximate Vanishing Ideal
by: Wirth, Elias, et al.
Published: (2022)
by: Wirth, Elias, et al.
Published: (2022)
Reassessing the Validity of Spurious Correlations Benchmarks
by: Bell, Samuel J., et al.
Published: (2024)
by: Bell, Samuel J., et al.
Published: (2024)
Learning Moderately Input-Sensitive Functions: A Case Study in QR Code Decoding
by: Yoda, Kazuki, et al.
Published: (2025)
by: Yoda, Kazuki, et al.
Published: (2025)
CALT: A Library for Computer Algebra with Transformer
by: Kera, Hiroshi, et al.
Published: (2025)
by: Kera, Hiroshi, et al.
Published: (2025)
Adversarially Pretrained Transformers May Be Universally Robust In-Context Learners
by: Kumano, Soichiro, et al.
Published: (2025)
by: Kumano, Soichiro, et al.
Published: (2025)
Identifying Important Group of Pixels using Interactions
by: Sumiyasu, Kosuke, et al.
Published: (2024)
by: Sumiyasu, Kosuke, et al.
Published: (2024)
Theoretical Understanding of Learning from Adversarial Perturbations
by: Kumano, Soichiro, et al.
Published: (2024)
by: Kumano, Soichiro, et al.
Published: (2024)
Wide Two-Layer Networks can Learn from Adversarial Perturbations
by: Kumano, Soichiro, et al.
Published: (2024)
by: Kumano, Soichiro, et al.
Published: (2024)
Out of Spuriousity: Improving Robustness to Spurious Correlations without Group Annotations
by: Le, Phuong Quynh, et al.
Published: (2024)
by: Le, Phuong Quynh, et al.
Published: (2024)
Learning Large-Scale Modular Addition with an Auxiliary Modulus
by: Kikuchi, Hanato, et al.
Published: (2026)
by: Kikuchi, Hanato, et al.
Published: (2026)
Freeze then Train: Towards Provable Representation Learning under Spurious Correlations and Feature Noise
by: Ye, Haotian, et al.
Published: (2022)
by: Ye, Haotian, et al.
Published: (2022)
Second-order Conditional Gradient Sliding
by: Carderera, Alejandro, et al.
Published: (2020)
by: Carderera, Alejandro, et al.
Published: (2020)
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)
Severing Spurious Correlations with Data Pruning
by: Mulchandani, Varun, et al.
Published: (2025)
by: Mulchandani, Varun, et al.
Published: (2025)
In-context Learning in Presence of Spurious Correlations
by: Harutyunyan, Hrayr, et al.
Published: (2024)
by: Harutyunyan, Hrayr, et al.
Published: (2024)
Revisiting Spurious Correlation in Domain Generalization
by: Qin, Bin, et al.
Published: (2024)
by: Qin, Bin, et al.
Published: (2024)
Robustness Evaluation of Offline Reinforcement Learning for Robot Control Against Action Perturbations
by: Ayabe, Shingo, et al.
Published: (2024)
by: Ayabe, Shingo, et al.
Published: (2024)
Spurious Correlation Learning in Preference Optimization: Mechanisms, Consequences, and Mitigation via Tie Training
by: Moya, Christian, et al.
Published: (2026)
by: Moya, Christian, et al.
Published: (2026)
Elastic Representation: Mitigating Spurious Correlations for Group Robustness
by: Wen, Tao, et al.
Published: (2025)
by: Wen, Tao, et al.
Published: (2025)
Investigating the Robustness of Subtask Distillation under Spurious Correlation
by: Chormai, Pattarawat, et al.
Published: (2026)
by: Chormai, Pattarawat, et al.
Published: (2026)
Mitigating Spurious Correlations via Disagreement Probability
by: Han, Hyeonggeun, et al.
Published: (2024)
by: Han, Hyeonggeun, et al.
Published: (2024)
Similar Items
-
S-CFE: Simple Counterfactual Explanations
by: Sadiku, Shpresim, et al.
Published: (2024) -
GSE: Group-wise Sparse and Explainable Adversarial Attacks
by: Sadiku, Shpresim, et al.
Published: (2023) -
Computational Algebra with Attention: Transformer Oracles for Border Basis Algorithms
by: Kera, Hiroshi, et al.
Published: (2025) -
Identifying Spurious Correlations using Counterfactual Alignment
by: Cohen, Joseph Paul, et al.
Published: (2023) -
Unsupervised Identification and Removal of Spurious Correlations During Fine-Tuning
by: Gilligan-Lee, Ciarán M., et al.
Published: (2026)