知识注入论文趋势 2023–2026

主要结论

• 知识注入论文从 2023 年的 34 篇降到 2026 年的 26 篇，热度在回落。
• CVPR 是发知识注入论文最多的会议，2023–2026 年共 38 篇，占四个会议总量的 29%。
• 交叉方向里涨得最快的是知识图谱：同时属于两个主题的论文从 2023 年的 30 篇增至 2026 年的 15 篇。
• 在「神经符号」的 5 个主题里，它的 2026 年论文数排第 5；同组增长最快的数学推理是 10 倍，知识注入是 0.8 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 2026DiDE: Direct Injection with Color-Texture DEcoupling for 3D Stylization
• ICML 2026SPA: A Simple but Tough-to-Beat Baseline for Knowledge Injection
• ICLR 2026NDAD: Negative-Direction Aware Decoding for Large Language Models via Controllable Hallucination Signal Injection
• CVPR 2026Distilling Balanced Knowledge from a Biased Teacher
• NeurIPS 2025From Style to Facts: Mapping the Boundaries of Knowledge Injection with Finetuning
• ICML 2025TINED: GNNs-to-MLPs by Teacher Injection and Dirichlet Energy Distillation
• ICLR 2025How new data permeates LLM knowledge and how to dilute it
• CVPR 2025DKC: Differentiated Knowledge Consolidation for Cloth-Hybrid Lifelong Person Re-identification
• NeurIPS 2024FEDMEKI: A Benchmark for Scaling Medical Foundation Models via Federated Knowledge Injection
• ICML 2024Enhancing Class-Imbalanced Learning with Pre-Trained Guidance through Class-Conditional Knowledge Distillation
• ICLR 2024DistillSpec: Improving Speculative Decoding via Knowledge Distillation
• CVPR 2024Aligning Logits Generatively for Principled Black-Box Knowledge Distillation
• NeurIPS 2023Improving the Knowledge Gradient Algorithm
• ICML 2023Large Language Models Struggle to Learn Long-Tail Knowledge
• ICLR 2023Noise Injection Node Regularization for Robust Learning
• CVPR 2023AttriCLIP: A Non-Incremental Learner for Incremental Knowledge Learning
• NeurIPS 2026Shared Truth: Emergent Truth Properties in Large Language Models via Heterogeneous Injection-based Transfer
• ICML 2026RedVisor: Reasoning-Aware Prompt Injection Defense via Zero-Copy KV Cache Reuse
• ICLR 2026Knowledge Distillation as Decontamination? Revisiting the “Data Laundering” Concern
• CVPR 2026Dynamic Magic Unleashing Restricted Knowledge for Lifelong Person Re-Identification

全部知识注入论文

共 131 篇，第 3 / 3 页

101. CVPR 2023Class Attention Transfer Based Knowledge Distillation
102. CVPR 2023Constructing Deep Spiking Neural Networks From Artificial Neural Networks With Knowledge Distillation
103. CVPR 2023EMT-NAS:Transferring Architectural Knowledge Between Tasks From Different Datasets
104. CVPR 2023ERM-KTP: Knowledge-Level Machine Unlearning via Knowledge Transfer
105. CVPR 2023Knowledge Combination To Learn Rotated Detection Without Rotated Annotation
106. CVPR 2023Knowledge Distillation for 6D Pose Estimation by Aligning Distributions of Local Predictions
107. CVPR 2023Learning To Retain While Acquiring: Combating Distribution-Shift in Adversarial Data-Free Knowledge Distillation
108. CVPR 2023Learning Transferable Spatiotemporal Representations From Natural Script Knowledge
109. CVPR 2023Probabilistic Knowledge Distillation of Face Ensembles
110. CVPR 2023Sequential Training of GANs Against GAN-Classifiers Reveals Correlated "Knowledge Gaps" Present Among Independently Trained GAN Instances
111. CVPR 2023The Dark Side of Dynamic Routing Neural Networks: Towards Efficiency Backdoor Injection
112. ICLR 2023Better Teacher Better Student: Dynamic Prior Knowledge for Knowledge Distillation
113. ICLR 2023Dataless Knowledge Fusion by Merging Weights of Language Models
114. ICLR 2023Function-Consistent Feature Distillation
115. ICLR 2023Gradient Boosting Performs Gaussian Process Inference
116. ICLR 2023Interpretable Geometric Deep Learning via Learnable Randomness Injection
117. ICLR 2023Noise Injection Node Regularization for Robust Learning
118. ICLR 2023NORM: Knowledge Distillation via N-to-One Representation Matching
119. ICLR 2023Scaffolding a Student to Instill Knowledge
120. ICLR 2023simpleKT: A Simple But Tough-to-Beat Baseline for Knowledge Tracing
121. ICLR 2023TILP: Differentiable Learning of Temporal Logical Rules on Knowledge Graphs
122. ICML 2023Integrating Prior Knowledge in Contrastive Learning with Kernel
123. ICML 2023Knowledge Hypergraph Embedding Meets Relational Algebra
124. ICML 2023Large Language Models Struggle to Learn Long-Tail Knowledge
125. ICML 2023Quantifying the Knowledge in GNNs for Reliable Distillation into MLPs
126. ICML 2023Revisiting Data-Free Knowledge Distillation with Poisoned Teachers
127. ICML 2023Who Needs to Know? Minimal Knowledge for Optimal Coordination
128. NeurIPS 2023Deep Reinforcement Learning with Plasticity Injection
129. NeurIPS 2023Improving the Knowledge Gradient Algorithm
130. NeurIPS 2023Knowledge Distillation Performs Partial Variance Reduction
131. NeurIPS 2023Thrust: Adaptively Propels Large Language Models with External Knowledge

常见问题

2023–2026 年四大会议一共有多少篇知识注入论文？

共 131 篇，按年份分别是 2023 年 34 篇、2024 年 39 篇、2025 年 32 篇、2026 年 26 篇。

NeurIPS 2026 有多少篇知识注入论文？

NeurIPS 2026 有 9 篇知识注入论文，上一届是 12 篇。

ICLR 2026 有多少篇知识注入论文？

ICLR 2026 有 5 篇知识注入论文，上一届是 9 篇。

ICML 2026 有多少篇知识注入论文？

ICML 2026 有 4 篇知识注入论文，上一届是 6 篇。

CVPR 2026 有多少篇知识注入论文？

CVPR 2026 有 8 篇知识注入论文，上一届是 5 篇。

哪个会议的知识注入论文最多？

CVPR，2023–2026 年共 38 篇。