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 122 篇，第 1 / 3 页

1. ICML 2024A Circuit Domain Generalization Framework for Efficient Logic Synthesis in Chip Design
2. ICML 2024A Dynamical Model of Neural Scaling Laws
3. ICML 2024A fast algorithm to simulate nonlinear resistive networks
4. ICML 2024A New Computationally Efficient Algorithm to solve Feature Selection for Functional Data Classification in High-dimensional Spaces
5. ICML 2024A Tale of Tails: Model Collapse as a Change of Scaling Laws
6. ICML 2024AegisFL: Efficient and Flexible Privacy-Preserving Byzantine-Robust Cross-silo Federated Learning
7. ICML 2024An Efficient Maximal Ancestral Graph Listing Algorithm
8. ICML 2024An Efficient Self-Learning Framework For Interactive Spoken Dialog Systems
9. ICML 2024APT: Adaptive Pruning and Tuning Pretrained Language Models for Efficient Training and Inference
10. ICML 2024Asymptotically Optimal and Computationally Efficient Average Treatment Effect Estimation in A/B testing
11. ICML 2024Beyond Chinchilla-Optimal: Accounting for Inference in Language Model Scaling Laws
12. ICML 2024Beyond Regular Grids: Fourier-Based Neural Operators on Arbitrary Domains
13. ICML 2024CaM: Cache Merging for Memory-efficient LLMs Inference
14. ICML 2024CHAI: Clustered Head Attention for Efficient LLM Inference
15. ICML 2024CLIPZyme: Reaction-Conditioned Virtual Screening of Enzymes
16. ICML 2024Collaborative Learning with Different Labeling Functions
17. ICML 2024Compute Better Spent: Replacing Dense Layers with Structured Matrices
18. ICML 2024CosPGD: an efficient white-box adversarial attack for pixel-wise prediction tasks
19. ICML 2024Data-efficient Large Vision Models through Sequential Autoregression
20. ICML 2024Data-Efficient Learning via Clustering-Based Sensitivity Sampling: Foundation Models and Beyond
21. ICML 2024Decoding Compressed Trust: Scrutinizing the Trustworthiness of Efficient LLMs Under Compression
22. ICML 2024Deep Fusion: Efficient Network Training via Pre-trained Initializations
23. ICML 2024Delving into Differentially Private Transformer
24. ICML 2024Density-Softmax: Efficient Test-time Model for Uncertainty Estimation and Robustness under Distribution Shifts
25. ICML 2024Differentiable Model Scaling using Differentiable Topk
26. ICML 2024DiJiang: Efficient Large Language Models through Compact Kernelization
27. ICML 2024Distilling Morphology-Conditioned Hypernetworks for Efficient Universal Morphology Control
28. ICML 2024DistiLLM: Towards Streamlined Distillation for Large Language Models
29. ICML 2024Distributed High-Dimensional Quantile Regression: Estimation Efficiency and Support Recovery
30. ICML 2024Do Topological Characteristics Help in Knowledge Distillation?
31. ICML 2024Efficient Algorithms for Empirical Group Distributionally Robust Optimization and Beyond
32. ICML 2024Efficient Algorithms for Sum-Of-Minimum Optimization
33. ICML 2024Efficient and Effective Time-Series Forecasting with Spiking Neural Networks
34. ICML 2024Efficient Contextual Bandits with Uninformed Feedback Graphs
35. ICML 2024Efficient Contrastive Learning for Fast and Accurate Inference on Graphs
36. ICML 2024Efficient Exploration for LLMs
37. ICML 2024Efficient Low-Rank Matrix Estimation, Experimental Design, and Arm-Set-Dependent Low-Rank Bandits
38. ICML 2024Efficient Mixture Learning in Black-Box Variational Inference
39. ICML 2024Efficient Online Set-valued Classification with Bandit Feedback
40. ICML 2024Efficient PAC Learnability of Dynamical Systems Over Multilayer Networks
41. ICML 2024Efficient Precision and Recall Metrics for Assessing Generative Models using Hubness-aware Sampling
42. ICML 2024Efficient Stochastic Approximation of Minimax Excess Risk Optimization
43. ICML 2024Efficient Value Iteration for s-rectangular Robust Markov Decision Processes
44. ICML 2024Embodied CoT Distillation From LLM To Off-the-shelf Agents
45. ICML 2024EMC$^2$: Efficient MCMC Negative Sampling for Contrastive Learning with Global Convergence
46. ICML 2024Energy-Efficient Gaussian Processes Using Low-Precision Arithmetic
47. ICML 2024Error Feedback Can Accurately Compress Preconditioners
48. ICML 2024ETHER: Efficient Finetuning of Large-Scale Models with Hyperplane Reflections
49. ICML 2024EVEREST: Efficient Masked Video Autoencoder by Removing Redundant Spatiotemporal Tokens
50. ICML 2024Evolution of Heuristics: Towards Efficient Automatic Algorithm Design Using Large Language Model

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。