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 2 / 6 页

51. ICML 2026HiMe: Hierarchical Embodied Memory for Long-Horizon Vision-Language-Action Control
52. ICML 2026ImmersePro: End-to-End Stereo Video Synthesis Via Implicit Disparity Learning
53. ICML 2026Implicit Action Chunking for Smooth Continuous Control
54. ICML 2026Instruction Decomposition and Action Alignment for Vision-Language Navigation
55. ICML 2026Interpreting and Enhancing Emotional Circuits in Large Vision-Language Models via Cross-Modal Information Flow
56. ICML 2026KODA: Contrastive Representation Comparison and Alignment for Vision-Language Foundation Models
57. ICML 2026LangForce: Bayesian Decomposition of Vision Language Action Models via Latent Action Queries
58. ICML 2026Language Bias in LVLMs: From In-Depth Analysis to Simple and Effective Mitigation
59. ICML 2026LARA: Latent Action Representation Alignment for Vision-Language-Action Models
60. ICML 2026LARFT: Closing the Cognition-Action Gap for Length Instruction Following in Large Language Models
61. ICML 2026Large Vision-Language Models Get Lost in Attention
62. ICML 2026LAST: Bridging Vision-Language and Action Manifolds via Gromov-Wasserstein Alignment
63. ICML 2026Learning High-Frequency Continuous Action Chunks in Latent Space
64. ICML 2026Learning Latent Action World Models in the Wild
65. ICML 2026Learning the Minimum Action Distance
66. ICML 2026Left–Right Symmetry Breaking in CLIP-Style Vision-Language Models Trained on Synthetic Spatial-Relation Data
67. ICML 2026Mirror Descent Actor Critic via Bounded Advantage Learning
68. ICML 2026Mitigating the Modality Gap in Vision–Language Models with Fractal Spectral Geometry
69. ICML 2026Mixture of Horizons in Action Chunking
70. ICML 2026MVP-LAM: Learning Action-Centric Latent Action via Cross-Viewpoint Reconstruction
71. ICML 2026Neural Implicit Action Fields: From Discrete Waypoints to Continuous Functions for Vision-Language-Action Models
72. ICML 2026NeurVLA: Unleashing Failure-Handling Capability of Vision-Language-Action Models via Neural-Symbolic Reasoning
73. ICML 2026Norm$\times$Direction: Restoring the Missing Query Norm in Vision Linear Attention
74. ICML 2026Off-Policy Learning in Large Action Spaces: Optimization Matters More Than Estimation
75. ICML 2026On the Adversarial Robustness of Large Vision-Language Models under Visual Token Compression
76. ICML 2026Parameters as Experts: Adapting Vision Models with Dynamic Parameter Routing
77. ICML 2026PhotoAgent: Exploratory Visual Aesthetic Planning with Large Vision Models
78. ICML 2026Pretrained Vision-Language-Action Models are Surprisingly Resistant to Forgetting in Continual Learning
79. ICML 2026RADIO1D: Elastic Representations for Condensed Vision Modeling
80. ICML 2026RealisMotion: Decomposed Human Motion Control and Video Generation in the World Space
81. ICML 2026Reinforcement Learning with Action-Triggered Observations
82. ICML 2026RePack then Refine: Efficient Diffusion Transformers with Vision Foundation Models
83. ICML 2026Respecting Modality Gap in Post-hoc Out-of-distribution Detection with Pre-trained Vision-Language Models
84. ICML 2026Rethinking Depth Pruning for Vision Transformers: A Heterogeneity-Aware Perspective
85. ICML 2026Rethinking Serialization in Linear 3D Vision: Decoupling Anisotropic Geometry from Isotropic Semantics
86. ICML 2026ReViT: Rotational-equivariant Vision Transformers for Neural PDE Solvers
87. ICML 2026REViT: Roto-reflection Equivariant Convolutional Vision Transformer
88. ICML 2026RoboMME: Benchmarking and Understanding Memory for Robotic Generalist Policies
89. ICML 2026RoboOmni: Actions Are Just Another Modality for Vision-Language Models
90. ICML 2026Robustifying Vision-Language Models via Test-Time Prompt Adaptation
91. ICML 2026RoCA: Robust Cross-Domain End-to-End Autonomous Driving
92. ICML 2026SCALE: Self-uncertainty Conditioned Adaptive Looking and Execution for Vision-Language-Action Models
93. ICML 2026Scaling by Diversified Experience for Vision-Language-Action Models
94. ICML 2026See What Matters: Differentiable Grid Sample Pruning for Generalizable Vision-Language-Action Model
95. ICML 2026Seeing Realism from Simulation: Efficient Video Transfer for Vision-Language-Action Data Augmentation
96. ICML 2026Self-Captioning Multimodal Interaction Tuning: Amplifying Exploitable Redundancies for Robust Vision Language Models
97. ICML 2026Semantic Robustness Certification for Vision-Language Models
98. ICML 2026SF-Mamba: Rethinking State Space Model for Vision
99. ICML 2026SkelHCC: A Hyperbolic CLIP-Driven Cache Adaptation Framework for Skeleton-based One-Shot Action Recognition
100. ICML 2026SkillNet: Hierarchical Skill Modeling for Compositional Generalization in Vision-Language Action Models

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。