特征归因论文趋势 2023–2026

主要结论

• 特征归因论文从 2023 年的 118 篇增长到 2026 年的 219 篇，三年间扩大到约 1.9 倍。
• NeurIPS 是发特征归因论文最多的会议，2023–2026 年共 193 篇，占四个会议总量的 28%。
• 交叉方向里涨得最快的是理论 · learning theory：同时属于两个主题的论文从 2023 年的 1 篇增至 2026 年的 14 篇。
• 在「可解释性」的 5 个主题里，它的 2026 年论文数排第 1；同组增长最快的机制解释是 8.1 倍，特征归因是 1.9 倍。

代表论文

按年份和会议均匀挑选，方便快速看到每一届的样貌

• 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

全部特征归因论文

共 35 篇，第 1 / 1 页

1. CVPR 20243D Feature Tracking via Event Camera
2. CVPR 2024A Stealthy Wrongdoer: Feature-Oriented Reconstruction Attack against Split Learning
3. CVPR 2024Adaptive Random Feature Regularization on Fine-tuning Deep Neural Networks
4. CVPR 2024AdaShift: Learning Discriminative Self-Gated Neural Feature Activation With an Adaptive Shift Factor
5. CVPR 2024Adversarial Distillation Based on Slack Matching and Attribution Region Alignment
6. CVPR 2024Collaborative Semantic Occupancy Prediction with Hybrid Feature Fusion in Connected Automated Vehicles
7. CVPR 2024DYSON: Dynamic Feature Space Self-Organization for Online Task-Free Class Incremental Learning
8. CVPR 2024Efficient LoFTR: Semi-Dense Local Feature Matching with Sparse-Like Speed
9. CVPR 2024Exploiting Inter-sample and Inter-feature Relations in Dataset Distillation
10. CVPR 2024FCS: Feature Calibration and Separation for Non-Exemplar Class Incremental Learning
11. CVPR 2024Feature 3DGS: Supercharging 3D Gaussian Splatting to Enable Distilled Feature Fields
12. CVPR 2024Feature Re-Embedding: Towards Foundation Model-Level Performance in Computational Pathology
13. CVPR 2024FMA-Net: Flow-Guided Dynamic Filtering and Iterative Feature Refinement with Multi-Attention for Joint Video Super-Resolution and Deblurring
14. CVPR 2024From Feature to Gaze: A Generalizable Replacement of Linear Layer for Gaze Estimation
15. CVPR 2024HDQMF: Holographic Feature Decomposition Using Quantum Algorithms
16. CVPR 2024Improving Depth Completion via Depth Feature Upsampling
17. CVPR 2024LLaMA-Excitor: General Instruction Tuning via Indirect Feature Interaction
18. CVPR 2024Mean-Shift Feature Transformer
19. CVPR 2024NeRFCodec: Neural Feature Compression Meets Neural Radiance Fields for Memory-Efficient Scene Representation
20. CVPR 2024Neural Refinement for Absolute Pose Regression with Feature Synthesis
21. CVPR 2024Neural Video Compression with Feature Modulation
22. CVPR 2024OmniGlue: Generalizable Feature Matching with Foundation Model Guidance
23. CVPR 2024One-Class Face Anti-spoofing via Spoof Cue Map-Guided Feature Learning
24. CVPR 2024Physical Property Understanding from Language-Embedded Feature Fields
25. CVPR 2024Privacy-Preserving Face Recognition Using Trainable Feature Subtraction
26. CVPR 2024Puff-Net: Efficient Style Transfer with Pure Content and Style Feature Fusion Network
27. CVPR 2024Revisiting Global Translation Estimation with Feature Tracks
28. CVPR 2024RoMa: Robust Dense Feature Matching
29. CVPR 2024SecondPose: SE(3)-Consistent Dual-Stream Feature Fusion for Category-Level Pose Estimation
30. CVPR 2024SHAP-EDITOR: Instruction-Guided Latent 3D Editing in Seconds
31. CVPR 2024TFMQ-DM: Temporal Feature Maintenance Quantization for Diffusion Models
32. CVPR 2024Towards the Uncharted: Density-Descending Feature Perturbation for Semi-supervised Semantic Segmentation
33. CVPR 2024Unsupervised Feature Learning with Emergent Data-Driven Prototypicality
34. CVPR 2024VideoRF: Rendering Dynamic Radiance Fields as 2D Feature Video Streams
35. CVPR 2024VRetouchEr: Learning Cross-frame Feature Interdependence with Imperfection Flow for Face Retouching in Videos

常见问题

2023–2026 年四大会议一共有多少篇特征归因论文？

共 695 篇，按年份分别是 2023 年 118 篇、2024 年 168 篇、2025 年 190 篇、2026 年 219 篇。

NeurIPS 2026 有多少篇特征归因论文？

NeurIPS 2026 有 61 篇特征归因论文，上一届是 57 篇。

ICLR 2026 有多少篇特征归因论文？

ICLR 2026 有 53 篇特征归因论文，上一届是 42 篇。

ICML 2026 有多少篇特征归因论文？

ICML 2026 有 56 篇特征归因论文，上一届是 51 篇。

CVPR 2026 有多少篇特征归因论文？

CVPR 2026 有 49 篇特征归因论文，上一届是 40 篇。

哪个会议的特征归因论文最多？

NeurIPS，2023–2026 年共 193 篇。