Concept-Based Explanation papers, 2023–2026
TCAV and concept methods
Scope: NeurIPS, ICLR, ICML and CVPR, 2023–2026. 342 papers are tagged with this topic.
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.
Papers per venue
Counts by year and venue
| Year | NeurIPS | ICLR | ICML | CVPR | Total |
|---|---|---|---|---|---|
| 2023 | 48 | 9 | 27 | 7 | 91 |
| 2024 | 21 | 9 | 20 | 13 | 63 |
| 2025 | 25 | 19 | 11 | 16 | 71 |
| 2026 | 40 | 24 | 20 | 33 | 117 |
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
16 papers, page 1 of 1
- CVPR 2025Attribute-formed Class-specific Concept Space: Endowing Language Bottleneck Model with Better Interpretability and Scalability
- CVPR 2025CoE: Chain-of-Explanation via Automatic Visual Concept Circuit Description and Polysemanticity Quantification
- CVPR 2025Concept Replacer: Replacing Sensitive Concepts in Diffusion Models via Precision Localization
- CVPR 2025Discovering Fine-Grained Visual-Concept Relations by Disentangled Optimal Transport Concept Bottleneck Models
- CVPR 2025Efficient Fine-Tuning and Concept Suppression for Pruned Diffusion Models
- CVPR 2025ESC: Erasing Space Concept for Knowledge Deletion
- CVPR 2025Explaining Domain Shifts in Language: Concept Erasing for Interpretable Image Classification
- CVPR 2025Finer-CAM: Spotting the Difference Reveals Finer Details for Visual Explanation
- CVPR 2025Hybrid Concept Bottleneck Models
- CVPR 2025Interactive Medical Image Analysis with Concept-based Similarity Reasoning
- CVPR 2025Interpretable Generative Models through Post-hoc Concept Bottlenecks
- CVPR 2025Language Guided Concept Bottleneck Models for Interpretable Continual Learning
- CVPR 2025Movie Weaver: Tuning-Free Multi-Concept Video Personalization with Anchored Prompts
- CVPR 2025Precise, Fast, and Low-cost Concept Erasure in Value Space: Orthogonal Complement Matters
- CVPR 2025Show and Tell: Visually Explainable Deep Neural Nets via Spatially-Aware Concept Bottleneck Models
- CVPR 2025Towards Human-Understandable Multi-Dimensional Concept Discovery
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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.