Cover Image

Learning to Receive Help: Intervention-Aware Concept Embedding Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zarlenga, Mateo Espinosa, Collins, Katherine M., Dvijotham, Krishnamurthy, Weller, Adrian, Shams, Zohreh, Jamnik, Mateja
Format:	Preprint
Published:	2023
Subjects:	Machine Learning Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Avoiding Leakage Poisoning: Concept Interventions Under Distribution Shifts
by: Zarlenga, Mateo Espinosa, et al.
Published: (2025)

Hierarchical Concept-based Interpretable Models
by: Hill, Oscar, et al.
Published: (2026)

Digging Deeper: Learning Multi-Level Concept Hierarchies
by: Hill, Oscar, et al.
Published: (2026)

Do Concept Bottleneck Models Respect Localities?
by: Raman, Naveen, et al.
Published: (2024)

Efficient Bias Mitigation Without Privileged Information
by: Zarlenga, Mateo Espinosa, et al.
Published: (2024)

Understanding Inter-Concept Relationships in Concept-Based Models
by: Raman, Naveen, et al.
Published: (2024)

Foundations of Interpretable Models
by: Barbiero, Pietro, et al.
Published: (2025)

Actionable Interpretability Must Be Defined in Terms of Symmetries
by: Barbiero, Pietro, et al.
Published: (2026)

Addressing Concept Mislabeling in Concept Bottleneck Models Through Preference Optimization
by: Penaloza, Emiliano, et al.
Published: (2025)

Interpretable Neural-Symbolic Concept Reasoning
by: Barbiero, Pietro, et al.
Published: (2023)

Causal Concept Graph Models: Beyond Causal Opacity in Deep Learning
by: Dominici, Gabriele, et al.
Published: (2024)

Multimodal Lego: Model Merging and Fine-Tuning Across Topologies and Modalities in Biomedicine
by: Hemker, Konstantin, et al.
Published: (2024)

Estimation of Concept Explanations Should be Uncertainty Aware
by: Piratla, Vihari, et al.
Published: (2023)

LLM Embeddings for Deep Learning on Tabular Data
by: Koloski, Boshko, et al.
Published: (2025)

Don't Lose Focus: Activation Steering via Key-Orthogonal Projections
by: Luo, Haoyan, et al.
Published: (2026)

HEALNet: Multimodal Fusion for Heterogeneous Biomedical Data
by: Hemker, Konstantin, et al.
Published: (2023)

TabMDA: Tabular Manifold Data Augmentation for Any Classifier using Transformers with In-context Subsetting
by: Margeloiu, Andrei, et al.
Published: (2024)

Achieving the Tightest Relaxation of Sigmoids for Formal Verification
by: Chevalier, Samuel, et al.
Published: (2024)

Mixture of Concept Bottleneck Experts
by: De Santis, Francesco, et al.
Published: (2026)

Sphere Neural-Networks for Rational Reasoning
by: Dong, Tiansi, et al.
Published: (2024)

Confidence-aware Reward Optimization for Fine-tuning Text-to-Image Models
by: Kim, Kyuyoung, et al.
Published: (2024)

Provably Bounding Neural Network Preimages
by: Kotha, Suhas, et al.
Published: (2023)

Verified Neural Compressed Sensing
by: Bunel, Rudy, et al.
Published: (2024)

An AI Monkey Gets Grapes for Sure -- Sphere Neural Networks for Reliable Decision-Making
by: Dong, Tiansi, et al.
Published: (2026)

Deferring Concept Bottleneck Models: Learning to Defer Interventions to Inaccurate Experts
by: Pugnana, Andrea, et al.
Published: (2025)

Mitigating Shortcut Learning with InterpoLated Learning
by: Korakakis, Michalis, et al.
Published: (2025)

Correlated Noise Provably Beats Independent Noise for Differentially Private Learning
by: Choquette-Choo, Christopher A., et al.
Published: (2023)

ALVIN: Active Learning Via INterpolation
by: Korakakis, Michalis, et al.
Published: (2024)

PATHS: A Hierarchical Transformer for Efficient Whole Slide Image Analysis
by: Buzzard, Zak, et al.
Published: (2024)

Through the Stealth Lens: Attention-Aware Defenses Against Poisoning in RAG
by: Choudhary, Sarthak, et al.
Published: (2025)

Neural Interpretable Reasoning
by: Barbiero, Pietro, et al.
Published: (2025)

Learning Personalized Decision Support Policies
by: Bhatt, Umang, et al.
Published: (2023)

Concept Tokens: Learning Behavioral Embeddings Through Concept Definitions
by: Sastre, Ignacio, et al.
Published: (2026)

Shaping the Future of Mathematics in the Age of AI
by: Commelin, Johan, et al.
Published: (2026)

No, of Course I Can! Deeper Fine-Tuning Attacks That Bypass Token-Level Safety Mechanisms
by: Kazdan, Joshua, et al.
Published: (2025)

Steering into New Embedding Spaces: Analyzing Cross-Lingual Alignment Induced by Model Interventions in Multilingual Language Models
by: Sundar, Anirudh, et al.
Published: (2025)

Large Language Models Must Be Taught to Know What They Don't Know
by: Kapoor, Sanyam, et al.
Published: (2024)

Modulating Language Model Experiences through Frictions
by: Collins, Katherine M., et al.
Published: (2024)

Understanding Subjectivity through the Lens of Motivational Context in Model-Generated Image Satisfaction
by: Dutta, Senjuti, et al.
Published: (2024)

CRAFT: Forgetting-Aware Intervention-Based Adaptation for Continual Learning
by: Hossen, Md Anwar, et al.
Published: (2026)