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

695 papers, page 12 of 14

551. NeurIPS 2024MemoryFormer : Minimize Transformer Computation by Removing Fully-Connected Layers
552. NeurIPS 2024Mitigating Biases in Blackbox Feature Extractors for Image Classification Tasks
553. NeurIPS 2024Most Influential Subset Selection: Challenges, Promises, and Beyond
554. NeurIPS 2024Neural Collapse Inspired Feature Alignment for Out-of-Distribution Generalization
555. NeurIPS 2024NeuroBOLT: Resting-state EEG-to-fMRI Synthesis with Multi-dimensional Feature Mapping
556. NeurIPS 2024On Feature Learning in Structured State Space Models
557. NeurIPS 2024On the Efficiency of ERM in Feature Learning
558. NeurIPS 2024On the Impact of Feature Heterophily on Link Prediction with Graph Neural Networks
559. NeurIPS 2024Online Feature Updates Improve Online (Generalized) Label Shift Adaptation
560. NeurIPS 2024Parallel Backpropagation for Shared-Feature Visualization
561. NeurIPS 2024Personalized Federated Learning via Feature Distribution Adaptation
562. NeurIPS 2024Precise asymptotics of reweighted least-squares algorithms for linear diagonal networks
563. NeurIPS 2024Provable Benefit of Cutout and CutMix for Feature Learning
564. NeurIPS 2024ProxyFusion: Face Feature Aggregation Through Sparse Experts
565. NeurIPS 2024shapiq: Shapley Interactions for Machine Learning
566. NeurIPS 2024Stochastic Amortization: A Unified Approach to Accelerate Feature and Data Attribution
567. NeurIPS 2024SubjECTive-QA: Measuring Subjectivity in Earnings Call Transcripts' QA Through Six-Dimensional Feature Analysis
568. NeurIPS 2024Symmetries in Overparametrized Neural Networks: A Mean Field View
569. NeurIPS 2024The Feature Speed Formula: a flexible approach to scale hyper-parameters of deep neural networks
570. NeurIPS 2024The Prevalence of Neural Collapse in Neural Multivariate Regression
571. NeurIPS 2024To Learn or Not to Learn, That is the Question — A Feature-Task Dual Learning Model of Perceptual Learning
572. NeurIPS 2024Training Data Attribution via Approximate Unrolling
573. NeurIPS 2024Understanding Visual Feature Reliance through the Lens of Complexity
574. NeurIPS 2024Unveiling Induction Heads: Provable Training Dynamics and Feature Learning in Transformers
575. NeurIPS 2024WAGLE: Strategic Weight Attribution for Effective and Modular Unlearning in Large Language Models
576. NeurIPS 2024Where Do Large Learning Rates Lead Us?
577. NeurIPS 2024You Only Look Around: Learning Illumination-Invariant Feature for Low-light Object Detection
578. CVPR 2023A Practical Upper Bound for the Worst-Case Attribution Deviations
579. CVPR 2023Adaptive Assignment for Geometry Aware Local Feature Matching
580. CVPR 2023Adaptive Spot-Guided Transformer for Consistent Local Feature Matching
581. CVPR 2023AdaptiveMix: Improving GAN Training via Feature Space Shrinkage
582. CVPR 2023AGAIN: Adversarial Training With Attribution Span Enlargement and Hybrid Feature Fusion
583. CVPR 2023Block Selection Method for Using Feature Norm in Out-of-Distribution Detection
584. CVPR 2023CafeBoost: Causal Feature Boost To Eliminate Task-Induced Bias for Class Incremental Learning
585. CVPR 2023Camouflaged Object Detection With Feature Decomposition and Edge Reconstruction
586. CVPR 2023Clothing-Change Feature Augmentation for Person Re-Identification
587. CVPR 2023Correspondence Transformers With Asymmetric Feature Learning and Matching Flow Super-Resolution
588. CVPR 2023Curvature-Balanced Feature Manifold Learning for Long-Tailed Classification
589. CVPR 2023Data-Driven Feature Tracking for Event Cameras
590. CVPR 2023Data-Free Knowledge Distillation via Feature Exchange and Activation Region Constraint
591. CVPR 2023Discriminative Co-Saliency and Background Mining Transformer for Co-Salient Object Detection
592. CVPR 2023Discriminator-Cooperated Feature Map Distillation for GAN Compression
593. CVPR 2023DKM: Dense Kernelized Feature Matching for Geometry Estimation
594. CVPR 2023Efficient View Synthesis and 3D-Based Multi-Frame Denoising With Multiplane Feature Representations
595. CVPR 2023FAC: 3D Representation Learning via Foreground Aware Feature Contrast
596. CVPR 2023FCC: Feature Clusters Compression for Long-Tailed Visual Recognition
597. CVPR 2023Feature Separation and Recalibration for Adversarial Robustness
598. CVPR 2023Feature Shrinkage Pyramid for Camouflaged Object Detection With Transformers
599. CVPR 2023FeatureBooster: Boosting Feature Descriptors With a Lightweight Neural Network
600. CVPR 2023Fix the Noise: Disentangling Source Feature for Controllable Domain Translation

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.