高效训练论文趋势 2023–2026

主要结论

• 高效训练论文从 2023 年的 346 篇增长到 2026 年的 603 篇，三年间扩大到约 1.7 倍。
• NeurIPS 是发高效训练论文最多的会议，2023–2026 年共 499 篇，占四个会议总量的 28%。
• 交叉方向里涨得最快的是深度学习 · large language models：同时属于两个主题的论文从 2023 年的 6 篇增至 2026 年的 50 篇。
• 在「效率与系统」的 5 个主题里，它的 2026 年论文数排第 3；同组增长最快的硬件协同是 4.4 倍，高效训练是 1.7 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 2026Adaptive Residual Quantization for Memory-Efficient Temporal Action Segmentation
• ICML 2026A Geometry-Aware Efficient Algorithm for Compositional Entropic Risk Minimization
• ICLR 2026An Efficient SE(p)-Invariant Transport Metric Driven by Polar Transport Discrepancy-based Representation
• CVPR 2026A Bit is All You Need Efficient Video Capture via
• NeurIPS 20254DGCPro: Efficient Hierarchical 4D Gaussian Compression for Progressive Volumetric Video Streaming
• ICML 2025A Sample Efficient Conditional Independence Test in the Presence of Discretization
• ICLR 2025Breaking Class Barriers: Efficient Dataset Distillation via Inter-Class Feature Compensator
• CVPR 2025Accurate Scene Text Recognition with Efficient Model Scaling and Cloze Self-Distillation
• NeurIPS 2024$\texttt{dattri}$: A Library for Efficient Data Attribution
• ICML 2024A fast algorithm to simulate nonlinear resistive networks
• ICLR 2024Dictionary Contrastive Learning for Efficient Local Supervision without Auxiliary Networks
• CVPR 2024Deep-TROJ: An Inference Stage Trojan Insertion Algorithm through Efficient Weight Replacement Attack
• NeurIPS 2023Alternating Updates for Efficient Transformers
• ICML 2023Auxiliary Modality Learning with Generalized Curriculum Distillation
• ICLR 2023A Model or 603 Exemplars: Towards Memory-Efficient Class-Incremental Learning
• CVPR 2023A Rotation-Translation-Decoupled Solution for Robust and Efficient Visual-Inertial Initialization
• NeurIPS 2026Advanced Routing as Regularization Allocation for Efficient Diffusion Transformer Training
• ICML 2026Active Learning with Foundation Model Priors: Efficient Learning under Class Imbalance
• ICLR 2026AQER: A Scalable and Efficient Data Loader for Digital Quantum Computers
• CVPR 2026Adaptive Bayesian Early-Exit Networks for Efficient Non-Transferable Learning

全部高效训练论文

共 84 篇，第 1 / 2 页

1. CVPR 2023A Rotation-Translation-Decoupled Solution for Robust and Efficient Visual-Inertial Initialization
2. CVPR 2023Accelerating Dataset Distillation via Model Augmentation
3. CVPR 2023Adapting Shortcut With Normalizing Flow: An Efficient Tuning Framework for Visual Recognition
4. CVPR 2023AMT: All-Pairs Multi-Field Transforms for Efficient Frame Interpolation
5. CVPR 2023Auto-CARD: Efficient and Robust Codec Avatar Driving for Real-Time Mobile Telepresence
6. CVPR 2023BEV-LaneDet: An Efficient 3D Lane Detection Based on Virtual Camera via Key-Points
7. CVPR 2023Beyond Attentive Tokens: Incorporating Token Importance and Diversity for Efficient Vision Transformers
8. CVPR 2023C-SFDA: A Curriculum Learning Aided Self-Training Framework for Efficient Source Free Domain Adaptation
9. CVPR 2023Complexity-Guided Slimmable Decoder for Efficient Deep Video Compression
10. CVPR 2023Comprehensive and Delicate: An Efficient Transformer for Image Restoration
11. CVPR 2023Constructing Deep Spiking Neural Networks From Artificial Neural Networks With Knowledge Distillation
12. CVPR 2023Content-Aware Token Sharing for Efficient Semantic Segmentation With Vision Transformers
13. CVPR 2023Context-Aware Pretraining for Efficient Blind Image Decomposition
14. CVPR 2023CUF: Continuous Upsampling Filters
15. CVPR 2023Data-Efficient Large Scale Place Recognition With Graded Similarity Supervision
16. CVPR 2023Decentralized Learning With Multi-Headed Distillation
17. CVPR 2023Deep Discriminative Spatial and Temporal Network for Efficient Video Deblurring
18. CVPR 2023Differentiable Shadow Mapping for Efficient Inverse Graphics
19. CVPR 2023DisCo-CLIP: A Distributed Contrastive Loss for Memory Efficient CLIP Training
20. CVPR 2023DistilPose: Tokenized Pose Regression With Heatmap Distillation
21. CVPR 2023Don't Lie to Me! Robust and Efficient Explainability With Verified Perturbation Analysis
22. CVPR 2023Efficient and Explicit Modelling of Image Hierarchies for Image Restoration
23. CVPR 2023Efficient Frequency Domain-Based Transformers for High-Quality Image Deblurring
24. CVPR 2023Efficient Loss Function by Minimizing the Detrimental Effect of Floating-Point Errors on Gradient-Based Attacks
25. CVPR 2023Efficient Map Sparsification Based on 2D and 3D Discretized Grids
26. CVPR 2023Efficient Mask Correction for Click-Based Interactive Image Segmentation
27. CVPR 2023Efficient Movie Scene Detection Using State-Space Transformers
28. CVPR 2023Efficient Multimodal Fusion via Interactive Prompting
29. CVPR 2023Efficient On-Device Training via Gradient Filtering
30. CVPR 2023Efficient RGB-T Tracking via Cross-Modality Distillation
31. CVPR 2023Efficient Robust Principal Component Analysis via Block Krylov Iteration and CUR Decomposition
32. CVPR 2023Efficient Scale-Invariant Generator With Column-Row Entangled Pixel Synthesis
33. CVPR 2023Efficient Semantic Segmentation by Altering Resolutions for Compressed Videos
34. CVPR 2023Efficient Verification of Neural Networks Against LVM-Based Specifications
35. CVPR 2023Efficient View Synthesis and 3D-Based Multi-Frame Denoising With Multiplane Feature Representations
36. CVPR 2023EfficientViT: Memory Efficient Vision Transformer With Cascaded Group Attention
37. CVPR 2023Energy-Efficient Adaptive 3D Sensing
38. CVPR 2023expOSE: Accurate Initialization-Free Projective Factorization Using Exponential Regularization
39. CVPR 2023Extracting Motion and Appearance via Inter-Frame Attention for Efficient Video Frame Interpolation
40. CVPR 2023FeatER: An Efficient Network for Human Reconstruction via Feature Map-Based TransformER
41. CVPR 2023FedDM: Iterative Distribution Matching for Communication-Efficient Federated Learning
42. CVPR 2023FFCV: Accelerating Training by Removing Data Bottlenecks
43. CVPR 2023Fine-Tuned CLIP Models Are Efficient Video Learners
44. CVPR 2023Four-View Geometry With Unknown Radial Distortion
45. CVPR 2023Generalization Matters: Loss Minima Flattening via Parameter Hybridization for Efficient Online Knowledge Distillation
46. CVPR 2023Generic-to-Specific Distillation of Masked Autoencoders
47. CVPR 2023HelixSurf: A Robust and Efficient Neural Implicit Surface Learning of Indoor Scenes With Iterative Intertwined Regularization
48. CVPR 2023Joint Appearance and Motion Learning for Efficient Rolling Shutter Correction
49. CVPR 2023LargeKernel3D: Scaling Up Kernels in 3D Sparse CNNs
50. CVPR 2023Learning Steerable Function for Efficient Image Resampling

常见问题

2023–2026 年四大会议一共有多少篇高效训练论文？

共 1,765 篇，按年份分别是 2023 年 346 篇、2024 年 300 篇、2025 年 516 篇、2026 年 603 篇。

NeurIPS 2026 有多少篇高效训练论文？

NeurIPS 2026 有 177 篇高效训练论文，上一届是 190 篇。

ICLR 2026 有多少篇高效训练论文？

ICLR 2026 有 148 篇高效训练论文，上一届是 126 篇。

ICML 2026 有多少篇高效训练论文？

ICML 2026 有 169 篇高效训练论文，上一届是 118 篇。

CVPR 2026 有多少篇高效训练论文？

CVPR 2026 有 109 篇高效训练论文，上一届是 82 篇。

哪个会议的高效训练论文最多？

NeurIPS，2023–2026 年共 499 篇。