视觉-语言-动作论文趋势 2023–2026

主要结论

• 视觉-语言-动作论文从 2023 年的 257 篇增长到 2026 年的 708 篇，三年间扩大到约 2.8 倍。
• CVPR 是发视觉-语言-动作论文最多的会议，2023–2026 年共 640 篇，占四个会议总量的 39%。
• 交叉方向里涨得最快的是应用 · computer vision：同时属于两个主题的论文从 2023 年的 21 篇增至 2026 年的 135 篇。
• 在「机器人与具身」的 5 个主题里，它的 2026 年论文数排第 1；同组增长最快的人形控制是 3.8 倍，视觉-语言-动作是 2.8 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 2026A Dual-Domain Vision Transformer with Spectral Positional Bias
• ICML 2026FOCA: Future-Oriented Conditioning for Data-Efficient Vision-Language-Action Adaptation
• ICLR 2026Curvature-Guided Task Synergy for Skeleton based Temporal Action Segmentation
• CVPR 2026ActAvatar Temporally-Aware Precise Action Control for Talking Avatars
• NeurIPS 2025Doodle to Detect: A Goofy but Powerful Approach to Skeleton-based Hand Gesture Recognition
• ICML 2025Feasible Action Search for Bandit Linear Programs via Thompson Sampling
• ICLR 2025Action Sequence Augmentation for Action Anticipation
• CVPR 2025Active Event-based Stereo Vision
• NeurIPS 2024GAIA: Rethinking Action Quality Assessment for AI-Generated Videos
• ICML 2024Causal Action Influence Aware Counterfactual Data Augmentation
• ICLR 2024Matrix Manifold Neural Networks++
• CVPR 2024End-to-End Spatio-Temporal Action Localisation with Video Transformers
• NeurIPS 2023Activity Grammars for Temporal Action Segmentation
• ICML 2023Algorithmic Collective Action in Machine Learning
• ICLR 2023A Theoretical Understanding of Shallow Vision Transformers: Learning, Generalization, and Sample Complexity
• CVPR 20233Mformer: Multi-Order Multi-Mode Transformer for Skeletal Action Recognition
• NeurIPS 2026A Statistical Framework for Algorithmic Collective Action with Multiple Collectives
• ICML 2026From Abstraction to Instantiation: Learning Behavioral Representation for Vision-Language-Action Model
• ICLR 2026EAST: Early Action Prediction Sampling Strategy with Token Masking
• CVPR 2026DarkShake-DVS Event-based Human Action Recognition under Low-light and Shaking Camera

全部视觉-语言-动作论文

共 255 篇，第 4 / 6 页

151. ICML 2025SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference
152. ICML 2025Stochastic Layer-Wise Shuffle for Improving Vision Mamba Training
153. ICML 2025Targeted Unlearning with Single Layer Unlearning Gradient
154. ICML 2025Test-time Adapted Reinforcement Learning with Action Entropy Regularization
155. ICML 2025Textural or Textual: How Vision-Language Models Read Text in Images
156. ICML 2025The Courage to Stop: Overcoming Sunk Cost Fallacy in Deep Reinforcement Learning
157. ICML 2025Vintix: Action Model via In-Context Reinforcement Learning
158. ICML 2025Vision Graph Prompting via Semantic Low-Rank Decomposition
159. ICML 2025Zero Shot Generalization of Vision-Based RL Without Data Augmentation
160. ICML 2024A Contextual Combinatorial Bandit Approach to Negotiation
161. ICML 2024A Touch, Vision, and Language Dataset for Multimodal Alignment
162. ICML 2024AD3: Implicit Action is the Key for World Models to Distinguish the Diverse Visual Distractors
163. ICML 2024Amend to Alignment: Decoupled Prompt Tuning for Mitigating Spurious Correlation in Vision-Language Models
164. ICML 2024An Embodied Generalist Agent in 3D World
165. ICML 2024An Empirical Study Into What Matters for Calibrating Vision-Language Models
166. ICML 2024Beyond Sole Strength: Customized Ensembles for Generalized Vision-Language Models
167. ICML 2024Candidate Pseudolabel Learning: Enhancing Vision-Language Models by Prompt Tuning with Unlabeled Data
168. ICML 2024Careful with that Scalpel: Improving Gradient Surgery with an EMA
169. ICML 2024Causal Action Influence Aware Counterfactual Data Augmentation
170. ICML 2024COALA: A Practical and Vision-Centric Federated Learning Platform
171. ICML 2024Connecting the Dots: Collaborative Fine-tuning for Black-Box Vision-Language Models
172. ICML 2024CrossGET: Cross-Guided Ensemble of Tokens for Accelerating Vision-Language Transformers
173. ICML 2024Data-efficient Large Vision Models through Sequential Autoregression
174. ICML 2024Diagnosing the Compositional Knowledge of Vision Language Models from a Game-Theoretic View
175. ICML 2024Enhancing Value Function Estimation through First-Order State-Action Dynamics in Offline Reinforcement Learning
176. ICML 2024Enhancing Vision Transformer: Amplifying Non-Linearity in Feedforward Network Module
177. ICML 2024ERQ: Error Reduction for Post-Training Quantization of Vision Transformers
178. ICML 2024Evaluating and Analyzing Relationship Hallucinations in Large Vision-Language Models
179. ICML 2024Explaining Probabilistic Models with Distributional Values
180. ICML 2024Exploring Intrinsic Dimension for Vision-Language Model Pruning
181. ICML 2024Factored-Reward Bandits with Intermediate Observations
182. ICML 2024Failures Are Fated, But Can Be Faded: Characterizing and Mitigating Unwanted Behaviors in Large-Scale Vision and Language Models
183. ICML 2024Fast-Slow Test-Time Adaptation for Online Vision-and-Language Navigation
184. ICML 2024FiT: Flexible Vision Transformer for Diffusion Model
185. ICML 2024Fool Your (Vision and) Language Model with Embarrassingly Simple Permutations
186. ICML 2024GeoReasoner: Geo-localization with Reasoning in Street Views using a Large Vision-Language Model
187. ICML 2024How to Leverage Diverse Demonstrations in Offline Imitation Learning
188. ICML 2024Image Fusion via Vision-Language Model
189. ICML 2024Improving Interpretation Faithfulness for Vision Transformers
190. ICML 2024In-Context Reinforcement Learning for Variable Action Spaces
191. ICML 2024Investigating Pre-Training Objectives for Generalization in Vision-Based Reinforcement Learning
192. ICML 2024Learning Adaptive and View-Invariant Vision Transformer for Real-Time UAV Tracking
193. ICML 2024Learning Exceptional Subgroups by End-to-End Maximizing KL-Divergence
194. ICML 2024Libra: Building Decoupled Vision System on Large Language Models
195. ICML 2024Machine Vision Therapy: Multimodal Large Language Models Can Enhance Visual Robustness via Denoising In-Context Learning
196. ICML 2024Memory-Space Visual Prompting for Efficient Vision-Language Fine-Tuning
197. ICML 2024Mimicking Better by Matching the Approximate Action Distribution
198. ICML 2024MMT-Bench: A Comprehensive Multimodal Benchmark for Evaluating Large Vision-Language Models Towards Multitask AGI
199. ICML 2024Model-based Reinforcement Learning for Parameterized Action Spaces
200. ICML 2024Modeling Caption Diversity in Contrastive Vision-Language Pretraining

常见问题

2023–2026 年四大会议一共有多少篇视觉-语言-动作论文？

共 1,639 篇，按年份分别是 2023 年 257 篇、2024 年 329 篇、2025 年 345 篇、2026 年 708 篇。

NeurIPS 2026 有多少篇视觉-语言-动作论文？

NeurIPS 2026 有 204 篇视觉-语言-动作论文，上一届是 108 篇。

ICLR 2026 有多少篇视觉-语言-动作论文？

ICLR 2026 有 113 篇视觉-语言-动作论文，上一届是 64 篇。

ICML 2026 有多少篇视觉-语言-动作论文？

ICML 2026 有 126 篇视觉-语言-动作论文，上一届是 33 篇。

CVPR 2026 有多少篇视觉-语言-动作论文？

CVPR 2026 有 265 篇视觉-语言-动作论文，上一届是 140 篇。

哪个会议的视觉-语言-动作论文最多？

CVPR，2023–2026 年共 640 篇。