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

40 papers, page 1 of 1

1. CVPR 2025A Simple Data Augmentation for Feature Distribution Skewed Federated Learning
2. CVPR 2025ADD: Attribution-Driven Data Augmentation Framework for Boosting Image Super-Resolution
3. CVPR 2025BFANet: Revisiting 3D Semantic Segmentation with Boundary Feature Analysis
4. CVPR 2025CADRef: Robust Out-of-Distribution Detection via Class-Aware Decoupled Relative Feature Leveraging
5. CVPR 2025CocoER: Aligning Multi-Level Feature by Competition and Coordination for Emotion Recognition
6. CVPR 2025CoMatcher: Multi-View Collaborative Feature Matching
7. CVPR 2025Common3D: Self-Supervised Learning of 3D Morphable Models for Common Objects in Neural Feature Space
8. CVPR 2025Comprehensive Information Bottleneck for Unveiling Universal Attribution to Interpret Vision Transformers
9. CVPR 2025Descriptor-In-Pixel : Point-Feature Tracking For Pixel Processor Arrays
10. CVPR 2025Deterministic-to-Stochastic Diverse Latent Feature Mapping for Human Motion Synthesis
11. CVPR 2025DFM: Differentiable Feature Matching for Anomaly Detection
12. CVPR 2025DiffCAM: Data-Driven Saliency Maps by Capturing Feature Differences
13. CVPR 2025EDM: Equirectangular Projection-Oriented Dense Kernelized Feature Matching
14. CVPR 2025Efficient Decoupled Feature 3D Gaussian Splatting via Hierarchical Compression
15. CVPR 2025Exploring Semantic Feature Discrimination for Perceptual Image Super-Resolution and Opinion-Unaware No-Reference Image Quality Assessment
16. CVPR 2025Feature Selection for Latent Factor Models
17. CVPR 2025Feature Spectrum Learning for Remote Sensing Change Detection
18. CVPR 2025Feature-Preserving Mesh Decimation for Normal Integration
19. CVPR 2025FFR: Frequency Feature Rectification for Weakly Supervised Semantic Segmentation
20. CVPR 2025FG^2: Fine-Grained Cross-View Localization by Fine-Grained Feature Matching
21. CVPR 2025FLAVC: Learned Video Compression with Feature Level Attention
22. CVPR 2025From Poses to Identity: Training-Free Person Re-Identification via Feature Centralization
23. CVPR 2025g3D-LF: Generalizable 3D-Language Feature Fields for Embodied Tasks
24. CVPR 2025Improving Semi-Supervised Semantic Segmentation with Sliced-Wasserstein Feature Alignment and Uniformity
25. CVPR 2025JamMa: Ultra-lightweight Local Feature Matching with Joint Mamba
26. CVPR 2025Multi-Layer Visual Feature Fusion in Multimodal LLMs: Methods, Analysis, and Best Practices
27. CVPR 2025One is Plenty: A Polymorphic Feature Interpreter for Immutable Heterogeneous Collaborative Perception
28. CVPR 2025Open Ad-hoc Categorization with Contextualized Feature Learning
29. CVPR 2025PillarHist: A Quantization-aware Pillar Feature Encoder based on Height-aware Histogram
30. CVPR 2025PRaDA: Projective Radial Distortion Averaging
31. CVPR 2025Pseudo Visible Feature Fine-Grained Fusion for Thermal Object Detection
32. CVPR 2025RDD: Robust Feature Detector and Descriptor using Deformable Transformer
33. CVPR 2025Recurrent Feature Mining and Keypoint Mixup Padding for Category-Agnostic Pose Estimation
34. CVPR 2025Robust-MVTON: Learning Cross-Pose Feature Alignment and Fusion for Robust Multi-View Virtual Try-On
35. CVPR 2025SASep: Saliency-Aware Structured Separation of Geometry and Feature for Open Set Learning on Point Clouds
36. CVPR 2025SLVR: Super-Light Visual Reconstruction via Blueprint Controllable Convolutions and Exploring Feature Diversity Representation
37. CVPR 2025Stacking Brick by Brick: Aligned Feature Isolation for Incremental Face Forgery Detection
38. CVPR 2025Task-Agnostic Guided Feature Expansion for Class-Incremental Learning
39. CVPR 2025Task-aware Cross-modal Feature Refinement Transformer with Large Language Models for Visual Grounding
40. CVPR 2025UniNet: A Contrastive Learning-guided Unified Framework with Feature Selection for Anomaly Detection

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.