Feature Attribution papers, 2023–2026

Key findings

• Feature Attribution went from 118 papers in 2023 to 219 in 2026, roughly 1.9x in three years.
• NeurIPS publishes the most Feature Attribution work: 193 papers from 2023 to 2026, 28% of the four-venue total.
• The fastest-growing overlap is with Theory · learning theory: papers tagged with both rose from 1 in 2023 to 14 in 2026.
• Among the 5 topics under Interpretability, it ranks #1 by 2026 paper count; the fastest grower in the group, Mechanistic Interpretability, is up 8.1x versus 1.9x here.

Representative papers

Spread across years and venues so every edition shows up

• NeurIPS 2026ADAPT: Hybrid Prompt Optimization for LLM Feature Visualization
• ICML 2026Activation with Intrinsic-Extrinsic Consensus
• ICLR 2026AnyUp: Universal Feature Upsampling
• CVPR 2026A Training-Free Style-Personalization via SVD-Based Feature Decomposition
• NeurIPS 2025Alternating Gradient Flows: A Theory of Feature Learning in Two-layer Neural Networks
• ICML 2025BCE vs. CE in Deep Feature Learning
• ICLR 2025A Differentiable Rank-Based Objective for Better Feature Learning
• CVPR 2025A Simple Data Augmentation for Feature Distribution Skewed Federated Learning
• NeurIPS 2024$\texttt{dattri}$: A Library for Efficient Data Attribution
• ICML 2024Asymptotics of feature learning in two-layer networks after one gradient-step
• ICLR 2024An Intuitive Multi-Frequency Feature Representation for SO(3)-Equivariant Networks
• CVPR 2024DYSON: Dynamic Feature Space Self-Organization for Online Task-Free Class Incremental Learning
• NeurIPS 2023$\mathcal{M}^4$: A Unified XAI Benchmark for Faithfulness Evaluation of Feature Attribution Methods across Metrics, Modalities and Models
• ICML 2023Decoding Layer Saliency in Language Transformers
• ICLR 2023Can We Faithfully Represent Absence States to Compute Shapley Values on a DNN?
• CVPR 2023A Practical Upper Bound for the Worst-Case Attribution Deviations
• NeurIPS 2026Adaptive Feature Propagation for Attribute-Missing Graph Clustering
• ICML 2026Aggregate Models, Not Explanations: Improving Feature Importance Estimation
• ICLR 2026Attribution-Guided Decoding
• CVPR 2026FBTA Enabling Single-GPU End-to-End Gigapixel WSI Classification with Feature Bridging

All Feature Attribution papers

190 papers, page 3 of 4

101. ICML 2025From Kernels to Features: A Multi-Scale Adaptive Theory of Feature Learning
102. ICML 2025From Pixels to Perception: Interpretable Predictions via Instance-wise Grouped Feature Selection
103. ICML 2025Gamma Distribution PCA-Enhanced Feature Learning for Angle-Robust SAR Target Recognition
104. ICML 2025GEFA: A General Feature Attribution Framework Using Proxy Gradient Estimation
105. ICML 2025Global Convergence and Rich Feature Learning in $L$-Layer Infinite-Width Neural Networks under $\mu$ Parametrization
106. ICML 2025Gradient-based Explanations for Deep Learning Survival Models
107. ICML 2025Identifying and Understanding Cross-Class Features in Adversarial Training
108. ICML 2025Mahalanobis++: Improving OOD Detection via Feature Normalization
109. ICML 2025Mixture of Experts Provably Detect and Learn the Latent Cluster Structure in Gradient-Based Learning
110. ICML 2025No Free Lunch from Random Feature Ensembles: Scaling Laws and Near-Optimality Conditions
111. ICML 2025Nonlinear transformers can perform inference-time feature learning
112. ICML 2025On the Clean Generalization and Robust Overfitting in Adversarial Training from Two Theoretical Views: Representation Complexity and Training Dynamics
113. ICML 2025On The Concurrence of Layer-wise Preconditioning Methods and Provable Feature Learning
114. ICML 2025On the Role of Label Noise in the Feature Learning Process
115. ICML 2025One Wave To Explain Them All: A Unifying Perspective On Feature Attribution
116. ICML 2025One-Pass Feature Evolvable Learning with Theoretical Guarantees
117. ICML 2025Partition First, Embed Later: Laplacian-Based Feature Partitioning for Refined Embedding and Visualization of High-Dimensional Data
118. ICML 2025Propagate and Inject: Revisiting Propagation-Based Feature Imputation for Graphs with Partially Observed Features
119. ICML 2025Random Feature Representation Boosting
120. ICML 2025SAND: One-Shot Feature Selection with Additive Noise Distortion
121. ICML 2025SPEX: Scaling Feature Interaction Explanations for LLMs
122. ICML 2025Statistical Test for Feature Selection Pipelines by Selective Inference
123. ICML 2025Stochastic Encodings for Active Feature Acquisition
124. ICML 2025Stray Intrusive Outliers-Based Feature Selection on Intra-Class Asymmetric Instance Distribution or Multiple High-Density Clusters
125. ICML 2025Sum-of-Parts: Self-Attributing Neural Networks with End-to-End Learning of Feature Groups
126. ICML 2025TabFSBench: Tabular Benchmark for Feature Shifts in Open Environments
127. ICML 2025TAROT: Targeted Data Selection via Optimal Transport
128. ICML 2025The Complexity of Learning Sparse Superposed Features with Feedback
129. ICML 2025The Importance of Being Lazy: Scaling Limits of Continual Learning
130. ICML 2025Theoretical Limitations of Ensembles in the Age of Overparameterization
131. ICML 2025Token Signature: Predicting Chain-of-Thought Gains with Token Decoding Feature in Large Language Models
132. ICML 2025Towards an Explainable Comparison and Alignment of Feature Embeddings
133. ICML 2025Weak-to-Strong Generalization Even in Random Feature Networks, Provably
134. NeurIPS 2025A is for Absorption: Studying Feature Splitting and Absorption in Sparse Autoencoders
135. NeurIPS 2025Accelerating Feature Conformal Prediction via Taylor Approximation
136. NeurIPS 2025Alternating Gradient Flows: A Theory of Feature Learning in Two-layer Neural Networks
137. NeurIPS 2025Approximating Shapley Explanations in Reinforcement Learning
138. NeurIPS 2025Attribution-Driven Adaptive Token Pruning for Transformers
139. NeurIPS 2025Better Training Data Attribution via Better Inverse Hessian-Vector Products
140. NeurIPS 2025BevSplat: Resolving Height Ambiguity via Feature-Based Gaussian Primitives for Weakly-Supervised Cross-View Localization
141. NeurIPS 2025Beyond Last-Click: An Optimal Mechanism for Ad Attribution
142. NeurIPS 2025Capturing Polysemanticity with PRISM: A Multi-Concept Feature Description Framework
143. NeurIPS 2025Closed-Form Training Dynamics Reveal Learned Features and Linear Structure in Word2Vec-like Models
144. NeurIPS 2025Contrastive Learning with Data Misalignment: Feature Purity, Training Dynamics and Theoretical Generalization Guarantees
145. NeurIPS 2025DATE-LM: Benchmarking Data Attribution Evaluation for Large Language Models
146. NeurIPS 2025Degrees of Freedom for Linear Attention: Distilling Softmax Attention with Optimal Feature Efficiency
147. NeurIPS 2025Demystifying Spectral Feature Learning for Instrumental Variable Regression
148. NeurIPS 2025DePass: Unified Feature Attributing by Simple Decomposed Forward Pass
149. NeurIPS 2025Distributional Training Data Attribution: What do Influence Functions Sample?
150. NeurIPS 2025Distributionally Robust Feature Selection

FAQ

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

695 in total: 118 in 2023, 168 in 2024, 190 in 2025, 219 in 2026.

How many Feature Attribution papers are at NeurIPS 2026?

NeurIPS 2026 has 61 Feature Attribution papers, versus 57 the year before.

How many Feature Attribution papers are at ICLR 2026?

ICLR 2026 has 53 Feature Attribution papers, versus 42 the year before.

How many Feature Attribution papers are at ICML 2026?

ICML 2026 has 56 Feature Attribution papers, versus 51 the year before.

How many Feature Attribution papers are at CVPR 2026?

CVPR 2026 has 49 Feature Attribution papers, versus 40 the year before.

Which conference publishes the most Feature Attribution papers?

NeurIPS, with 193 papers from 2023 to 2026.