Cover Image

Mitigating Shortcut Learning with Diffusion Counterfactuals and Diverse Ensembles

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Scimeca, Luca, Rubinstein, Alexander, Teney, Damien, Oh, Seong Joon, Bengio, Yoshua
Format:	Preprint
Published:	2023
Subjects:	Machine Learning Artificial Intelligence Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Scalable Ensemble Diversification for OOD Generalization and Detection
by: Rubinstein, Alexander, et al.
Published: (2024)

Learning What Matters: Steering Diffusion via Spectrally Anisotropic Forward Noise
by: Scimeca, Luca, et al.
Published: (2025)

Are We Done with Object-Centric Learning?
by: Rubinstein, Alexander, et al.
Published: (2025)

Synergy and Diversity in CLIP: Enhancing Performance Through Adaptive Backbone Ensembling
by: Rodriguez-Opazo, Cristian, et al.
Published: (2024)

Neural Redshift: Random Networks are not Random Functions
by: Teney, Damien, et al.
Published: (2024)

Universal Algorithm-Implicit Learning
by: Woerner, Stefano, et al.
Published: (2026)

Shaping Inductive Bias in Diffusion Models through Frequency-Based Noise Control
by: Jiralerspong, Thomas, et al.
Published: (2025)

Assessing SAM for Tree Crown Instance Segmentation from Drone Imagery
by: Teng, Mélisande, et al.
Published: (2025)

GroupCoOp: Group-robust Fine-tuning via Group Prompt Learning
by: Kim, Nayeong, et al.
Published: (2025)

When Do Diffusion Models learn to Generate Multiple Objects?
by: Jeong, Yujin, et al.
Published: (2026)

High-Order Matching for One-Step Shortcut Diffusion Models
by: Chen, Bo, et al.
Published: (2025)

BackMix: Mitigating Shortcut Learning in Echocardiography with Minimal Supervision
by: Bransby, Kit Mills, et al.
Published: (2024)

Scratching Visual Transformer's Back with Uniform Attention
by: Hyeon-Woo, Nam, et al.
Published: (2022)

Exposing Image Classifier Shortcuts with Counterfactual Frequency (CoF) Tables
by: Hinns, James, et al.
Published: (2024)

Improved Crop and Weed Detection with Diverse Data Ensemble Learning
by: Asad, Muhammad Hamza, et al.
Published: (2023)

Diffusion Counterfactual Generation with Semantic Abduction
by: Rasal, Rajat, et al.
Published: (2025)

Learning to Detour: Shortcut Mitigating Augmentation for Weakly Supervised Semantic Segmentation
by: Kwon, JuneHyoung, et al.
Published: (2024)

Efficient Diversity-Preserving Diffusion Alignment via Gradient-Informed GFlowNets
by: Liu, Zhen, et al.
Published: (2024)

Diverse Prototypical Ensembles Improve Robustness to Subpopulation Shift
by: To, Minh Nguyen Nhat, et al.
Published: (2025)

Bayesian Low-Rank LeArning (Bella): A Practical Approach to Bayesian Neural Networks
by: Doan, Bao Gia, et al.
Published: (2024)

Shortcut Learning in Generalist Robot Policies: The Role of Dataset Diversity and Fragmentation
by: Xing, Youguang, et al.
Published: (2025)

DDIL: Diversity Enhancing Diffusion Distillation With Imitation Learning
by: Garrepalli, Risheek, et al.
Published: (2024)

Taking Shortcuts for Categorical VQA Using Super Neurons
by: Musacchio, Pierre, et al.
Published: (2026)

Generative Classifiers Avoid Shortcut Solutions
by: Li, Alexander C., et al.
Published: (2025)

Leaner Transformers: More Heads, Less Depth
by: Saratchandran, Hemanth, et al.
Published: (2025)

TestDG: Test-time Domain Generalization for Continual Test-time Adaptation
by: Lee, Sohyun, et al.
Published: (2025)

Counterfactual Segmentation Reasoning: Diagnosing and Mitigating Pixel-Grounding Hallucination
by: Li, Xinzhuo, et al.
Published: (2025)

Preventing Shortcuts in Adapter Training via Providing the Shortcuts
by: Goyal, Anujraaj Argo, et al.
Published: (2025)

SocialCounterfactuals: Probing and Mitigating Intersectional Social Biases in Vision-Language Models with Counterfactual Examples
by: Howard, Phillip, et al.
Published: (2023)

Synthetic Counterfactual Faces
by: Ramesh, Guruprasad V, et al.
Published: (2024)

Global Counterfactual Directions
by: Sobieski, Bartlomiej, et al.
Published: (2024)

Laplacian Score Sharpening for Mitigating Hallucination in Diffusion Models
by: C, Barath Chandran., et al.
Published: (2025)

DiG-IN: Diffusion Guidance for Investigating Networks -- Uncovering Classifier Differences Neuron Visualisations and Visual Counterfactual Explanations
by: Augustin, Maximilian, et al.
Published: (2023)

VideoPDE: Unified Generative PDE Solving via Video Inpainting Diffusion Models
by: Li, Edward, et al.
Published: (2025)

Reproducibility study on how to find Spurious Correlations, Shortcut Learning, Clever Hans or Group-Distributional non-robustness and how to fix them
by: Delzer, Ole, et al.
Published: (2026)

Demonstrating and Reducing Shortcuts in Vision-Language Representation Learning
by: Bleeker, Maurits, et al.
Published: (2024)

Interpretable Motion-Attentive Maps: Spatio-Temporally Localizing Concepts in Video Diffusion Transformers
by: Jun, Youngjun, et al.
Published: (2026)

AugGen: Synthetic Augmentation using Diffusion Models Can Improve Recognition
by: Rahimi, Parsa, et al.
Published: (2025)

Tuning-Free Multi-Event Long Video Generation via Synchronized Coupled Sampling
by: Kim, Subin, et al.
Published: (2025)

Detecting and Mitigating Memorization in Diffusion Models through Anisotropy of the Log-Probability
by: Asthana, Rohan, et al.
Published: (2026)