Counterfactual Explanation papers, 2023–2026

Key findings

• Counterfactual Explanation went from 21 papers in 2023 to 26 in 2026, roughly 1.2x in three years.
• NeurIPS publishes the most Counterfactual Explanation work: 31 papers from 2023 to 2026, 34% of the four-venue total.
• The fastest-growing overlap is with Counterfactual Fairness: papers tagged with both rose from 8 in 2023 to 10 in 2026.
• Among the 5 topics under Interpretability, it ranks #4 by 2026 paper count; the fastest grower in the group, Mechanistic Interpretability, is up 8.1x versus 1.2x here.

Representative papers

Spread across years and venues so every edition shows up

• NeurIPS 2026Offloading Score: Measuring AI Reliance through Counterfactual Workflows
• ICML 2026Density-Guided Robust Counterfactual Explanations on Tabular Data under Model Multiplicity
• ICLR 2026Training-free Counterfactual Explanation for Temporal Graph Model Inference
• CVPR 2026Back to the Feature Explaining Video Classifiers with Video Counterfactual
• NeurIPS 2025Causal Explanation-Guided Learning for Organ Allocation
• ICML 2025Exogenous Isomorphism for Counterfactual Identifiability
• ICLR 2025Generating Likely Counterfactuals Using Sum-Product Networks
• CVPR 2025Towards Fine-Grained Interpretability: Counterfactual Explanations for Misclassification with Saliency Partition
• NeurIPS 2024AR-Pro: Counterfactual Explanations for Anomaly Repair with Formal Properties
• ICML 2024CF-OPT: Counterfactual Explanations for Structured Prediction
• ICLR 2024Counterfactual Density Estimation using Kernel Stein Discrepancies
• CVPR 2024Looking Similar Sounding Different: Leveraging Counterfactual Cross-Modal Pairs for Audiovisual Representation Learning
• NeurIPS 2023[Re] FOCUS: Flexible Optimizable Counterfactual Explanations for Tree Ensembles
• ICML 2023Counterfactual Analysis in Dynamic Latent State Models
• ICLR 2023Measuring Forgetting of Memorized Training Examples
• CVPR 2023OCTET: Object-Aware Counterfactual Explanations
• NeurIPS 2026Tracing Actual Causes with Counterfactual Witness Maps
• ICML 2026Algorithmic Recourse of In-Context Learning for Tabular Data
• ICLR 2026ATEX-CF: Attack-Informed Counterfactual Explanations for Graph Neural Networks
• CVPR 2026Making the Classification Explanation Faithful to the Confidence Score

All Counterfactual Explanation papers

26 papers, page 1 of 1

1. CVPR 2026Back to the Feature Explaining Video Classifiers with Video Counterfactual
2. CVPR 2026Making the Classification Explanation Faithful to the Confidence Score
3. ICLR 2026ATEX-CF: Attack-Informed Counterfactual Explanations for Graph Neural Networks
4. ICLR 2026Counterfactual Explanations on Robust Perceptual Geodesics
5. ICLR 2026Counterfactual Structural Causal Bandits
6. ICLR 2026Training-free Counterfactual Explanation for Temporal Graph Model Inference
7. ICLR 2026Unifying Formal Explanations: A Complexity-Theoretic Perspective
8. ICML 2026Algorithmic Recourse of In-Context Learning for Tabular Data
9. ICML 2026Counterfactual Bootstrap for Robust Meta-Reinforcement Learning
10. ICML 2026Density-Guided Robust Counterfactual Explanations on Tabular Data under Model Multiplicity
11. ICML 2026Reward-Preserving Counterfactual State Editing for Offline Reinforcement Learning
12. NeurIPS 2026Can the Parts Fool the Test? Counterfactual Pairing Cycles for Relational OOD
13. NeurIPS 2026COSAC: Counterfactual Credit Assignment in Sequential Cooperative Teams
14. NeurIPS 2026Counterfactual Debugging the World Model Transfer Gap
15. NeurIPS 2026Counterfactual Estimation under Composite Treatments via Progressive Distribution Alignment
16. NeurIPS 2026Counterfactual Explanations for Time-Series Classification via Constrained Flow Matching
17. NeurIPS 2026Counterfactual Predictive State Representations: The Intrinsic Dimension of Partial-Information Games
18. NeurIPS 2026Counterfactual Rollout Replay: Forkable Environments as Free Process Rewards for Software Engineering Agents
19. NeurIPS 2026CounterFlowNet: From Minimal Changes to Meaningful Counterfactual Explanations
20. NeurIPS 2026DegradeQuery: Counterfactual Tuple Pretraining for Context-Aware PROTAC Degradation Prediction
21. NeurIPS 2026Neural-DISCO: Source-Conditioned Counterfactual Editing of Neural Population Activity
22. NeurIPS 2026Offloading Score: Measuring AI Reliance through Counterfactual Workflows
23. NeurIPS 2026On-Policy Counterfactual Influence
24. NeurIPS 2026Second-Order Complexity Theory for Risk, Explanation, and Calibration in Machine Learning
25. NeurIPS 2026Supervision Recovery for Time Series Anomaly Detection via Counterfactual Pairing
26. NeurIPS 2026Tracing Actual Causes with Counterfactual Witness Maps

FAQ

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

90 in total: 21 in 2023, 20 in 2024, 23 in 2025, 26 in 2026.

How many Counterfactual Explanation papers are at NeurIPS 2026?

NeurIPS 2026 has 15 Counterfactual Explanation papers, versus 7 the year before.

How many Counterfactual Explanation papers are at ICLR 2026?

ICLR 2026 has 5 Counterfactual Explanation papers, versus 5 the year before.

How many Counterfactual Explanation papers are at ICML 2026?

ICML 2026 has 4 Counterfactual Explanation papers, versus 9 the year before.

How many Counterfactual Explanation papers are at CVPR 2026?

CVPR 2026 has 2 Counterfactual Explanation papers, versus 2 the year before.

Which conference publishes the most Counterfactual Explanation papers?

NeurIPS, with 31 papers from 2023 to 2026.