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

167 papers, page 3 of 4

101. CVPR 2024Feature Re-Embedding: Towards Foundation Model-Level Performance in Computational Pathology
102. CVPR 2024FMA-Net: Flow-Guided Dynamic Filtering and Iterative Feature Refinement with Multi-Attention for Joint Video Super-Resolution and Deblurring
103. CVPR 2024From Feature to Gaze: A Generalizable Replacement of Linear Layer for Gaze Estimation
104. CVPR 2024HDQMF: Holographic Feature Decomposition Using Quantum Algorithms
105. CVPR 2024Improving Depth Completion via Depth Feature Upsampling
106. CVPR 2024LLaMA-Excitor: General Instruction Tuning via Indirect Feature Interaction
107. CVPR 2024Mean-Shift Feature Transformer
108. CVPR 2024NeRFCodec: Neural Feature Compression Meets Neural Radiance Fields for Memory-Efficient Scene Representation
109. CVPR 2024Neural Refinement for Absolute Pose Regression with Feature Synthesis
110. CVPR 2024Neural Video Compression with Feature Modulation
111. CVPR 2024OmniGlue: Generalizable Feature Matching with Foundation Model Guidance
112. CVPR 2024One-Class Face Anti-spoofing via Spoof Cue Map-Guided Feature Learning
113. CVPR 2024Physical Property Understanding from Language-Embedded Feature Fields
114. CVPR 2024Privacy-Preserving Face Recognition Using Trainable Feature Subtraction
115. CVPR 2024Puff-Net: Efficient Style Transfer with Pure Content and Style Feature Fusion Network
116. CVPR 2024Revisiting Global Translation Estimation with Feature Tracks
117. CVPR 2024RoMa: Robust Dense Feature Matching
118. CVPR 2024SecondPose: SE(3)-Consistent Dual-Stream Feature Fusion for Category-Level Pose Estimation
119. CVPR 2024SHAP-EDITOR: Instruction-Guided Latent 3D Editing in Seconds
120. CVPR 2024TFMQ-DM: Temporal Feature Maintenance Quantization for Diffusion Models
121. CVPR 2024Towards the Uncharted: Density-Descending Feature Perturbation for Semi-supervised Semantic Segmentation
122. CVPR 2024Unsupervised Feature Learning with Emergent Data-Driven Prototypicality
123. CVPR 2024VideoRF: Rendering Dynamic Radiance Fields as 2D Feature Video Streams
124. CVPR 2024VRetouchEr: Learning Cross-frame Feature Interdependence with Imperfection Flow for Face Retouching in Videos
125. CVPR 2023A Practical Upper Bound for the Worst-Case Attribution Deviations
126. CVPR 2023Adaptive Assignment for Geometry Aware Local Feature Matching
127. CVPR 2023Adaptive Spot-Guided Transformer for Consistent Local Feature Matching
128. CVPR 2023AdaptiveMix: Improving GAN Training via Feature Space Shrinkage
129. CVPR 2023AGAIN: Adversarial Training With Attribution Span Enlargement and Hybrid Feature Fusion
130. CVPR 2023Block Selection Method for Using Feature Norm in Out-of-Distribution Detection
131. CVPR 2023CafeBoost: Causal Feature Boost To Eliminate Task-Induced Bias for Class Incremental Learning
132. CVPR 2023Camouflaged Object Detection With Feature Decomposition and Edge Reconstruction
133. CVPR 2023Clothing-Change Feature Augmentation for Person Re-Identification
134. CVPR 2023Correspondence Transformers With Asymmetric Feature Learning and Matching Flow Super-Resolution
135. CVPR 2023Curvature-Balanced Feature Manifold Learning for Long-Tailed Classification
136. CVPR 2023Data-Driven Feature Tracking for Event Cameras
137. CVPR 2023Data-Free Knowledge Distillation via Feature Exchange and Activation Region Constraint
138. CVPR 2023Discriminative Co-Saliency and Background Mining Transformer for Co-Salient Object Detection
139. CVPR 2023Discriminator-Cooperated Feature Map Distillation for GAN Compression
140. CVPR 2023DKM: Dense Kernelized Feature Matching for Geometry Estimation
141. CVPR 2023Efficient View Synthesis and 3D-Based Multi-Frame Denoising With Multiplane Feature Representations
142. CVPR 2023FAC: 3D Representation Learning via Foreground Aware Feature Contrast
143. CVPR 2023FCC: Feature Clusters Compression for Long-Tailed Visual Recognition
144. CVPR 2023Feature Separation and Recalibration for Adversarial Robustness
145. CVPR 2023Feature Shrinkage Pyramid for Camouflaged Object Detection With Transformers
146. CVPR 2023FeatureBooster: Boosting Feature Descriptors With a Lightweight Neural Network
147. CVPR 2023Fix the Noise: Disentangling Source Feature for Controllable Domain Translation
148. CVPR 2023GCFAgg: Global and Cross-View Feature Aggregation for Multi-View Clustering
149. CVPR 2023Generalizable Local Feature Pre-Training for Deformable Shape Analysis
150. CVPR 2023Gradient-Based Uncertainty Attribution for Explainable Bayesian Deep Learning

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.