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 13 of 14

601. CVPR 2023GCFAgg: Global and Cross-View Feature Aggregation for Multi-View Clustering
602. CVPR 2023Generalizable Local Feature Pre-Training for Deformable Shape Analysis
603. CVPR 2023Gradient-Based Uncertainty Attribution for Explainable Bayesian Deep Learning
604. CVPR 2023Harmonious Feature Learning for Interactive Hand-Object Pose Estimation
605. CVPR 2023Initialization Noise in Image Gradients and Saliency Maps
606. CVPR 2023Introducing Competition To Boost the Transferability of Targeted Adversarial Examples Through Clean Feature Mixup
607. CVPR 2023MetaFusion: Infrared and Visible Image Fusion via Meta-Feature Embedding From Object Detection
608. CVPR 2023Multi-Modal Gait Recognition via Effective Spatial-Temporal Feature Fusion
609. CVPR 2023Multi-Modal Learning With Missing Modality via Shared-Specific Feature Modelling
610. CVPR 2023NeRFLight: Fast and Light Neural Radiance Fields Using a Shared Feature Grid
611. CVPR 2023Panoptic Compositional Feature Field for Editable Scene Rendering With Network-Inferred Labels via Metric Learning
612. CVPR 2023PATS: Patch Area Transportation With Subdivision for Local Feature Matching
613. CVPR 2023Preserving Linear Separability in Continual Learning by Backward Feature Projection
614. CVPR 2023Progressive Open Space Expansion for Open-Set Model Attribution
615. CVPR 2023Rethinking Feature-Based Knowledge Distillation for Face Recognition
616. CVPR 2023Rethinking Gradient Projection Continual Learning: Stability / Plasticity Feature Space Decoupling
617. CVPR 2023SCConv: Spatial and Channel Reconstruction Convolution for Feature Redundancy
618. CVPR 2023SFD2: Semantic-Guided Feature Detection and Description
619. CVPR 2023Shape-Erased Feature Learning for Visible-Infrared Person Re-Identification
620. CVPR 2023UTM: A Unified Multiple Object Tracking Model With Identity-Aware Feature Enhancement
621. ICLR 2023Can We Faithfully Represent Absence States to Compute Shapley Values on a DNN?
622. ICLR 2023Composing Task Knowledge With Modular Successor Feature Approximators
623. ICLR 2023Confidence-Based Feature Imputation for Graphs with Partially Known Features
624. ICLR 2023Contrastive Corpus Attribution for Explaining Representations
625. ICLR 2023CoRTX: Contrastive Framework for Real-time Explanation
626. ICLR 2023Explaining RL Decisions with Trajectories
627. ICLR 2023Feature Reconstruction From Outputs Can Mitigate Simplicity Bias in Neural Networks
628. ICLR 2023Feature selection and low test error in shallow low-rotation ReLU networks
629. ICLR 2023FedFA: Federated Feature Augmentation
630. ICLR 2023Fooling SHAP with Stealthily Biased Sampling
631. ICLR 2023Function-Consistent Feature Distillation
632. ICLR 2023GEASS: Neural causal feature selection for high-dimensional biological data
633. ICLR 2023Inequality phenomenon in $l_{\infty}$-adversarial training, and its unrealized threats
634. ICLR 2023Interpretability with full complexity by constraining feature information
635. ICLR 2023Learning a Data-Driven Policy Network for Pre-Training Automated Feature Engineering
636. ICLR 2023Learning Multimodal Data Augmentation in Feature Space
637. ICLR 2023Long-Tailed Learning Requires Feature Learning
638. ICLR 2023MaskFusion: Feature Augmentation for Click-Through Rate Prediction via Input-adaptive Mask Fusion
639. ICLR 2023Neural Networks Efficiently Learn Low-Dimensional Representations with SGD
640. ICLR 2023One-Pixel Shortcut: On the Learning Preference of Deep Neural Networks
641. ICLR 2023Over-Training with Mixup May Hurt Generalization
642. ICLR 2023PandA: Unsupervised Learning of Parts and Appearances in the Feature Maps of GANs
643. ICLR 2023Personalized Federated Learning with Feature Alignment and Classifier Collaboration
644. ICLR 2023Predictive Inference with Feature Conformal Prediction
645. ICLR 2023Re-calibrating Feature Attributions for Model Interpretation
646. ICLR 2023Sequential Attention for Feature Selection
647. ICLR 2023Temporal Dependencies in Feature Importance for Time Series Prediction
648. ICLR 2023The Curious Case of Benign Memorization
649. ICLR 2023The Onset of Variance-Limited Behavior for Networks in the Lazy and Rich Regimes
650. ICML 2023Decoding Layer Saliency in Language Transformers

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.