流式推理论文趋势 2023–2026

主要结论

• 流式推理论文从 2023 年的 13 篇增长到 2026 年的 41 篇，三年间扩大到约 3.2 倍。
• NeurIPS 是发流式推理论文最多的会议，2023–2026 年共 35 篇，占四个会议总量的 39%。
• 交叉方向里涨得最快的是三维视觉：同时属于两个主题的论文从 2023 年的 0 篇增至 2026 年的 10 篇。
• 在「边缘与物联网」的 5 个主题里，它的 2026 年论文数排第 3；同组增长最快的传感融合是 3.8 倍，流式推理是 3.2 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 2026MIST: Reliable Streaming Decision Trees for Online Class-Incremental Learning via McDiarmid Bound
• ICML 2026Estimating Correlation Clustering Cost in Node-Arrival Stream
• ICLR 2026Near-Optimal Online Deployment and Routing for Streaming LLMs
• CVPR 2026Color When It Counts Grayscale-Guided Online Triggering for Always-On Streaming
• NeurIPS 2025Learning-Augmented Streaming Algorithms for Correlation Clustering
• ICML 2025Deep Streaming View Clustering
• ICLR 2025Learning-Augmented Frequent Directions
• CVPR 2025Learning from Streaming Video with Orthogonal Gradients
• NeurIPS 2024Stochastic Optimization Algorithms for Instrumental Variable Regression with Streaming Data
• ICML 2024Fast White-Box Adversarial Streaming Without a Random Oracle
• ICLR 2024Addressing Loss of Plasticity and Catastrophic Forgetting in Continual Learning
• CVPR 2024Streaming Dense Video Captioning
• NeurIPS 2023Streaming PCA for Markovian Data
• ICML 2023Lookahead When It Matters: Adaptive Non-causal Transformers for Streaming Neural Transducers
• ICLR 2023Continual Transformers: Redundancy-Free Attention for Online Inference
• CVPR 2023System-Status-Aware Adaptive Network for Online Streaming Video Understanding
• NeurIPS 2026QueryStop: Dynamic Stop Signals for Efficient Streaming Inference
• ICML 2026SFedPO: Streaming Federated Learning with a Prediction Oracle under Temporal Shifts
• CVPR 2026Event Stream Filtering via Probability Flux Estimation
• NeurIPS 2025Online Functional Tensor Decomposition via Continual Learning for Streaming Data Completion

全部流式推理论文

共 90 篇，第 2 / 2 页

51. NeurIPS 2025Conformal Online Learning of Deep Koopman Linear Embeddings
52. NeurIPS 2025EA3D: Online Open-World 3D Object Extraction from Streaming Videos
53. NeurIPS 2025Learning-Augmented Streaming Algorithms for Correlation Clustering
54. NeurIPS 2025Low Precision Streaming PCA
55. NeurIPS 2025Online Functional Tensor Decomposition via Continual Learning for Streaming Data Completion
56. NeurIPS 2025Point3R: Streaming 3D Reconstruction with Explicit Spatial Pointer Memory
57. NeurIPS 2025StreamBridge: Turning Your Offline Video Large Language Model into a Proactive Streaming Assistant
58. NeurIPS 2025Streaming Stochastic Submodular Maximization with On-Demand User Requests
59. CVPR 20243DGStream: On-the-Fly Training of 3D Gaussians for Efficient Streaming of Photo-Realistic Free-Viewpoint Videos
60. CVPR 2024Low-Latency Neural Stereo Streaming
61. CVPR 2024SpikeNeRF: Learning Neural Radiance Fields from Continuous Spike Stream
62. CVPR 2024Streaming Dense Video Captioning
63. CVPR 2024VideoLLM-online: Online Video Large Language Model for Streaming Video
64. ICLR 2024Addressing Loss of Plasticity and Catastrophic Forgetting in Continual Learning
65. ICML 2024DéjàVu: KV-cache Streaming for Fast, Fault-tolerant Generative LLM Serving
66. ICML 2024Fast Co-Training under Weak Dependence via Stream-Based Active Learning
67. ICML 2024Fast White-Box Adversarial Streaming Without a Random Oracle
68. ICML 2024High-Dimensional Geometric Streaming for Nearly Low Rank Data
69. ICML 2024Learning from Streaming Data when Users Choose
70. ICML 2024Online Isolation Forest
71. NeurIPS 2024Approximating the Top Eigenvector in Random Order Streams
72. NeurIPS 2024Near-Optimal Streaming Heavy-Tailed Statistical Estimation with Clipped SGD
73. NeurIPS 2024Oja's Algorithm for Streaming Sparse PCA
74. NeurIPS 2024QUEEN: QUantized Efficient ENcoding of Dynamic Gaussians for Streaming Free-viewpoint Videos
75. NeurIPS 2024Stochastic Optimization Algorithms for Instrumental Variable Regression with Streaming Data
76. NeurIPS 2024StreamBench: Towards Benchmarking Continuous Improvement of Language Agents
77. NeurIPS 2024Streaming Bayes GFlowNets
78. CVPR 2023System-Status-Aware Adaptive Network for Online Streaming Video Understanding
79. ICLR 2023Continual Transformers: Redundancy-Free Attention for Online Inference
80. ICLR 2023Differentially Private $L_2$-Heavy Hitters in the Sliding Window Model
81. ICLR 2023Robust Algorithms on Adaptive Inputs from Bounded Adversaries
82. ICML 2023Lookahead When It Matters: Adaptive Non-causal Transformers for Streaming Neural Transducers
83. ICML 2023Online Local Differential Private Quantile Inference via Self-normalization
84. ICML 2023Streaming Active Learning with Deep Neural Networks
85. ICML 2023Streaming Submodular Maximization with Differential Privacy
86. NeurIPS 2023Hierarchical VAEs provide a normative account of motion processing in the primate brain
87. NeurIPS 2023Online robust non-stationary estimation
88. NeurIPS 2023Single-Pass Pivot Algorithm for Correlation Clustering. Keep it simple!
89. NeurIPS 2023Sketching Algorithms for Sparse Dictionary Learning: PTAS and Turnstile Streaming
90. NeurIPS 2023Streaming PCA for Markovian Data

常见问题

2023–2026 年四大会议一共有多少篇流式推理论文？

共 90 篇，按年份分别是 2023 年 13 篇、2024 年 19 篇、2025 年 17 篇、2026 年 41 篇。

NeurIPS 2026 有多少篇流式推理论文？

NeurIPS 2026 有 15 篇流式推理论文，上一届是 8 篇。

ICLR 2026 有多少篇流式推理论文？

ICLR 2026 有 1 篇流式推理论文，上一届是 2 篇。

ICML 2026 有多少篇流式推理论文？

ICML 2026 有 10 篇流式推理论文，上一届是 4 篇。

CVPR 2026 有多少篇流式推理论文？

CVPR 2026 有 15 篇流式推理论文，上一届是 3 篇。

哪个会议的流式推理论文最多？

NeurIPS，2023–2026 年共 35 篇。