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

168 papers, page 3 of 4

101. ICML 2024MFTN: A Multi-scale Feature Transfer Network Based on IMatchFormer for Hyperspectral Image Super-Resolution
102. ICML 2024Multi-layer Rehearsal Feature Augmentation for Class-Incremental Learning
103. ICML 2024Multiply-Robust Causal Change Attribution
104. ICML 2024Observable Propagation: Uncovering Feature Vectors in Transformers
105. ICML 2024On dimensionality of feature vectors in MPNNs
106. ICML 2024On the Tractability of SHAP Explanations under Markovian Distributions
107. ICML 2024Pragmatic Feature Preferences: Learning Reward-Relevant Preferences from Human Input
108. ICML 2024Prospector Heads: Generalized Feature Attribution for Large Models & Data
109. ICML 2024ProtoGate: Prototype-based Neural Networks with Global-to-local Feature Selection for Tabular Biomedical Data
110. ICML 2024Provable Benefits of Local Steps in Heterogeneous Federated Learning for Neural Networks: A Feature Learning Perspective
111. ICML 2024Provably Better Explanations with Optimized Aggregation of Feature Attributions
112. ICML 2024Provably Neural Active Learning Succeeds via Prioritizing Perplexing Samples
113. ICML 2024Saliency strikes back: How filtering out high frequencies improves white-box explanations
114. ICML 2024SF-DQN: Provable Knowledge Transfer using Successor Feature for Deep Reinforcement Learning
115. ICML 2024Single-Model Attribution of Generative Models Through Final-Layer Inversion
116. ICML 2024Synergistic Integration of Coordinate Network and Tensorial Feature for Improving Neural Radiance Fields from Sparse Inputs
117. ICML 2024The Balanced-Pairwise-Affinities Feature Transform
118. ICML 2024Which Frequencies do CNNs Need? Emergent Bottleneck Structure in Feature Learning
119. NeurIPS 2024$\texttt{dattri}$: A Library for Efficient Data Attribution
120. NeurIPS 2024Benchmarking the Attribution Quality of Vision Models
121. NeurIPS 2024Credit Attribution and Stable Compression
122. NeurIPS 2024Data-faithful Feature Attribution: Mitigating Unobservable Confounders via Instrumental Variables
123. NeurIPS 2024DeepDRK: Deep Dependency Regularized Knockoff for Feature Selection
124. NeurIPS 2024Denoising Diffusion Path: Attribution Noise Reduction with An Auxiliary Diffusion Model
125. NeurIPS 2024DETAIL: Task DEmonsTration Attribution for Interpretable In-context Learning
126. NeurIPS 2024Dimension-free deterministic equivalents and scaling laws for random feature regression
127. NeurIPS 2024Efficient Sketches for Training Data Attribution and Studying the Loss Landscape
128. NeurIPS 2024Efficiently Learning Significant Fourier Feature Pairs for Statistical Independence Testing
129. NeurIPS 2024EnOF-SNN: Training Accurate Spiking Neural Networks via Enhancing the Output Feature
130. NeurIPS 2024ETO:Efficient Transformer-based Local Feature Matching by Organizing Multiple Homography Hypotheses
131. NeurIPS 2024Explanations that reveal all through the definition of encoding
132. NeurIPS 2024Fast Iterative Hard Thresholding Methods with Pruning Gradient Computations
133. NeurIPS 2024Ferrari: Federated Feature Unlearning via Optimizing Feature Sensitivity
134. NeurIPS 2024FUGAL: Feature-fortified Unrestricted Graph Alignment
135. NeurIPS 2024Get rich quick: exact solutions reveal how unbalanced initializations promote rapid feature learning
136. NeurIPS 2024Handling Learnwares from Heterogeneous Feature Spaces with Explicit Label Exploitation
137. NeurIPS 2024Infinite-Dimensional Feature Interaction
138. NeurIPS 2024Is Function Similarity Over-Engineered? Building a Benchmark
139. NeurIPS 2024Learning Low-Rank Feature for Thorax Disease Classification
140. NeurIPS 2024Learning Successor Features the Simple Way
141. NeurIPS 2024MatrixNet: Learning over symmetry groups using learned group representations
142. NeurIPS 2024MemoryFormer : Minimize Transformer Computation by Removing Fully-Connected Layers
143. NeurIPS 2024Mitigating Biases in Blackbox Feature Extractors for Image Classification Tasks
144. NeurIPS 2024Most Influential Subset Selection: Challenges, Promises, and Beyond
145. NeurIPS 2024Neural Collapse Inspired Feature Alignment for Out-of-Distribution Generalization
146. NeurIPS 2024NeuroBOLT: Resting-state EEG-to-fMRI Synthesis with Multi-dimensional Feature Mapping
147. NeurIPS 2024On Feature Learning in Structured State Space Models
148. NeurIPS 2024On the Efficiency of ERM in Feature Learning
149. NeurIPS 2024On the Impact of Feature Heterophily on Link Prediction with Graph Neural Networks
150. NeurIPS 2024Online Feature Updates Improve Online (Generalized) Label Shift Adaptation

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.