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

175 papers, page 4 of 4

151. ICML 2024Single-Model Attribution of Generative Models Through Final-Layer Inversion
152. ICML 2024Synergistic Integration of Coordinate Network and Tensorial Feature for Improving Neural Radiance Fields from Sparse Inputs
153. ICML 2024The Balanced-Pairwise-Affinities Feature Transform
154. ICML 2024Which Frequencies do CNNs Need? Emergent Bottleneck Structure in Feature Learning
155. ICML 2023Decoding Layer Saliency in Language Transformers
156. ICML 2023Defects of Convolutional Decoder Networks in Frequency Representation
157. ICML 2023DRCFS: Doubly Robust Causal Feature Selection
158. ICML 2023Faith-Shap: The Faithful Shapley Interaction Index
159. ICML 2023Feature Expansion for Graph Neural Networks
160. ICML 2023Feature learning in deep classifiers through Intermediate Neural Collapse
161. ICML 2023Feature Programming for Multivariate Time Series Prediction
162. ICML 2023Global optimality of Elman-type RNNs in the mean-field regime
163. ICML 2023GRAFENNE: Learning on Graphs with Heterogeneous and Dynamic Feature Sets
164. ICML 2023Graph Positional Encoding via Random Feature Propagation
165. ICML 2023Hybrid Energy Based Model in the Feature Space for Out-of-Distribution Detection
166. ICML 2023Learning Perturbations to Explain Time Series Predictions
167. ICML 2023Learning to Maximize Mutual Information for Dynamic Feature Selection
168. ICML 2023LESS-VFL: Communication-Efficient Feature Selection for Vertical Federated Learning
169. ICML 2023MetaModulation: Learning Variational Feature Hierarchies for Few-Shot Learning with Fewer Tasks
170. ICML 2023Monge, Bregman and Occam: Interpretable Optimal Transport in High-Dimensions with Feature-Sparse Maps
171. ICML 2023Simple and Fast Group Robustness by Automatic Feature Reweighting
172. ICML 2023Sketched Ridgeless Linear Regression: The Role of Downsampling
173. ICML 2023SRATTA: Sample Re-ATTribution Attack of Secure Aggregation in Federated Learning.
174. ICML 2023The Benefits of Mixup for Feature Learning
175. ICML 2023Towards credible visual model interpretation with path attribution

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.