Counterfactual Explanation papers, 2023–2026
Counterfactual examples
Scope: NeurIPS, ICLR, ICML and CVPR, 2023–2026. 90 papers are tagged with this topic.
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.
Papers per venue
Counts by year and venue
| Year | NeurIPS | ICLR | ICML | CVPR | Total |
|---|---|---|---|---|---|
| 2023 | 4 | 2 | 8 | 7 | 21 |
| 2024 | 5 | 3 | 10 | 2 | 20 |
| 2025 | 7 | 5 | 9 | 2 | 23 |
| 2026 | 15 | 5 | 4 | 2 | 26 |
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
15 papers, page 1 of 1
- NeurIPS 2026Can the Parts Fool the Test? Counterfactual Pairing Cycles for Relational OOD
- NeurIPS 2026COSAC: Counterfactual Credit Assignment in Sequential Cooperative Teams
- NeurIPS 2026Counterfactual Debugging the World Model Transfer Gap
- NeurIPS 2026Counterfactual Estimation under Composite Treatments via Progressive Distribution Alignment
- NeurIPS 2026Counterfactual Explanations for Time-Series Classification via Constrained Flow Matching
- NeurIPS 2026Counterfactual Predictive State Representations: The Intrinsic Dimension of Partial-Information Games
- NeurIPS 2026Counterfactual Rollout Replay: Forkable Environments as Free Process Rewards for Software Engineering Agents
- NeurIPS 2026CounterFlowNet: From Minimal Changes to Meaningful Counterfactual Explanations
- NeurIPS 2026DegradeQuery: Counterfactual Tuple Pretraining for Context-Aware PROTAC Degradation Prediction
- NeurIPS 2026Neural-DISCO: Source-Conditioned Counterfactual Editing of Neural Population Activity
- NeurIPS 2026Offloading Score: Measuring AI Reliance through Counterfactual Workflows
- NeurIPS 2026On-Policy Counterfactual Influence
- NeurIPS 2026Second-Order Complexity Theory for Risk, Explanation, and Calibration in Machine Learning
- NeurIPS 2026Supervision Recovery for Time Series Anomaly Detection via Counterfactual Pairing
- NeurIPS 2026Tracing Actual Causes with Counterfactual Witness Maps
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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.