Concept-Based Explanation papers, 2023–2026

Key findings

• Concept-Based Explanation went from 91 papers in 2023 to 117 in 2026, roughly 1.3x in three years.
• NeurIPS publishes the most Concept-Based Explanation work: 134 papers from 2023 to 2026, 39% of the four-venue total.
• The fastest-growing overlap is with Multimodal LLMs: papers tagged with both rose from 4 in 2023 to 23 in 2026.
• Among the 5 topics under Interpretability, it ranks #3 by 2026 paper count; the fastest grower in the group, Mechanistic Interpretability, is up 8.1x versus 1.3x here.

Representative papers

Spread across years and venues so every edition shows up

• NeurIPS 2026CENDRe: Concept Extraction with Natural Domain Representations
• ICML 2026Evidential Copula Concept Embedding Models
• ICLR 2026Decoupling the Class Label and the Target Concept in Machine Unlearning
• CVPR 2026Agile Deliberation Concept Deliberation for Subjective Visual Classification
• NeurIPS 2025An Analysis of Concept Bottleneck Models: Measuring, Understanding, and Mitigating the Impact of Noisy Annotations
• ICML 2025Concept-Centric Token Interpretation for Vector-Quantized Generative Models
• ICLR 2025Causal Concept Graph Models: Beyond Causal Opacity in Deep Learning
• CVPR 2025Discovering Fine-Grained Visual-Concept Relations by Disentangled Optimal Transport Concept Bottleneck Models
• NeurIPS 2024[Re] On the Reproducibility of Post-Hoc Concept Bottleneck Models
• ICML 2024ContPhy: Continuum Physical Concept Learning and Reasoning from Videos
• ICLR 2024AttEXplore: Attribution for Explanation with model parameters eXploration
• CVPR 2024Fine-Grained Bipartite Concept Factorization for Clustering
• NeurIPS 2023[Re] Hierarchical Shrinkage: Improving the Accuracy and Interpretability of Tree-Based Methods
• ICML 2023A Closer Look at the Intervention Procedure of Concept Bottleneck Models
• ICLR 2023Concept Gradient: Concept-based Interpretation Without Linear Assumption
• CVPR 2023CRAFT: Concept Recursive Activation FacTorization for Explainability
• NeurIPS 2026Concept frustration: Aligning human concepts and machine representations
• ICML 2026On the Variability of Concept Activation Vectors
• ICLR 2026Hierarchical Concept-based Interpretable Models
• CVPR 2026DCoAR Deep Concept Injection into Unified Autoregressive Models for Personalized

All Concept-Based Explanation papers

19 papers, page 1 of 1

1. ICLR 2025Adapting Multi-modal Large Language Model to Concept Drift From Pre-training Onwards
2. ICLR 2025AutoCGP: Closed-Loop Concept-Guided Policies from Unlabeled Demonstrations
3. ICLR 2025Causal Concept Graph Models: Beyond Causal Opacity in Deep Learning
4. ICLR 2025CFD: Learning Generalized Molecular Representation via Concept-Enhanced Feedback Disentanglement
5. ICLR 2025Concept Bottleneck Large Language Models
6. ICLR 2025Concept-ROT: Poisoning Concepts in Large Language Models with Model Editing
7. ICLR 2025ConceptPrune: Concept Editing in Diffusion Models via Skilled Neuron Pruning
8. ICLR 2025Counterfactual Concept Bottleneck Models
9. ICLR 2025Data-centric Prediction Explanation via Kernelized Stein Discrepancy
10. ICLR 2025Efficient and Accurate Explanation Estimation with Distribution Compression
11. ICLR 2025Fantastic Targets for Concept Erasure in Diffusion Models and Where To Find Them
12. ICLR 2025From Tokens to Lattices: Emergent Lattice Structures in Language Models
13. ICLR 2025InstantSwap: Fast Customized Concept Swapping across Sharp Shape Differences
14. ICLR 2025MindSimulator: Exploring Brain Concept Localization via Synthetic fMRI
15. ICLR 2025Navigating Neural Space: Revisiting Concept Activation Vectors to Overcome Directional Divergence
16. ICLR 2025Restyling Unsupervised Concept Based Interpretable Networks with Generative Models
17. ICLR 2025Start Smart: Leveraging Gradients For Enhancing Mask-based XAI Methods
18. ICLR 2025Swing-by Dynamics in Concept Learning and Compositional Generalization
19. ICLR 2025XAIguiFormer: explainable artificial intelligence guided transformer for brain disorder identification

FAQ

How many Concept-Based Explanation papers were published at NeurIPS, ICLR, ICML and CVPR from 2023 to 2026?

342 in total: 91 in 2023, 63 in 2024, 71 in 2025, 117 in 2026.

How many Concept-Based Explanation papers are at NeurIPS 2026?

NeurIPS 2026 has 40 Concept-Based Explanation papers, versus 25 the year before.

How many Concept-Based Explanation papers are at ICLR 2026?

ICLR 2026 has 24 Concept-Based Explanation papers, versus 19 the year before.

How many Concept-Based Explanation papers are at ICML 2026?

ICML 2026 has 20 Concept-Based Explanation papers, versus 11 the year before.

How many Concept-Based Explanation papers are at CVPR 2026?

CVPR 2026 has 33 Concept-Based Explanation papers, versus 16 the year before.

Which conference publishes the most Concept-Based Explanation papers?

NeurIPS, with 134 papers from 2023 to 2026.