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 78 篇，第 1 / 2 页

1. ICLR 2024Adaptive Window Pruning for Efficient Local Motion Deblurring
2. ICLR 2024ALAM: Averaged Low-Precision Activation for Memory-Efficient Training of Transformer Models
3. ICLR 2024ASMR: Activation-Sharing Multi-Resolution Coordinate Networks for Efficient Inference
4. ICLR 2024AutoChunk: Automated Activation Chunk for Memory-Efficient Deep Learning Inference
5. ICLR 2024AutoVP: An Automated Visual Prompting Framework and Benchmark
6. ICLR 2024BESA: Pruning Large Language Models with Blockwise Parameter-Efficient Sparsity Allocation
7. ICLR 2024CoT3DRef: Chain-of-Thoughts Data-Efficient 3D Visual Grounding
8. ICLR 2024Decongestion by Representation: Learning to Improve Economic Welfare in Marketplaces
9. ICLR 2024Dictionary Contrastive Learning for Efficient Local Supervision without Auxiliary Networks
10. ICLR 2024Differentiable Learning of Generalized Structured Matrices for Efficient Deep Neural Networks
11. ICLR 2024DreamGaussian: Generative Gaussian Splatting for Efficient 3D Content Creation
12. ICLR 2024Dropout-Based Rashomon Set Exploration for Efficient Predictive Multiplicity Estimation
13. ICLR 2024Dynamic Sparse Training with Structured Sparsity
14. ICLR 2024Effective and Efficient Federated Tree Learning on Hybrid Data
15. ICLR 2024Efficient Backpropagation with Variance Controlled Adaptive Sampling
16. ICLR 2024Efficient ConvBN Blocks for Transfer Learning and Beyond
17. ICLR 2024Efficient Heterogeneous Meta-Learning via Channel Shuffling Modulation
18. ICLR 2024Efficient local linearity regularization to overcome catastrophic overfitting
19. ICLR 2024Efficient Modulation for Vision Networks
20. ICLR 2024Efficient Score Matching with Deep Equilibrium Layers
21. ICLR 2024Efficient Sharpness-Aware Minimization for Molecular Graph Transformer Models
22. ICLR 2024Efficient Streaming Language Models with Attention Sinks
23. ICLR 2024Efficient Subgraph GNNs by Learning Effective Selection Policies
24. ICLR 2024Enabling Efficient Equivariant Operations in the Fourier Basis via Gaunt Tensor Products
25. ICLR 2024Fair and Efficient Contribution Valuation for Vertical Federated Learning
26. ICLR 2024Faithful and Efficient Explanations for Neural Networks via Neural Tangent Kernel Surrogate Models
27. ICLR 2024Fast-DetectGPT: Efficient Zero-Shot Detection of Machine-Generated Text via Conditional Probability Curvature
28. ICLR 2024Fast-ELECTRA for Efficient Pre-training
29. ICLR 2024Faster Sampling from Log-Concave Densities over Polytopes via Efficient Linear Solvers
30. ICLR 2024FedCompass: Efficient Cross-Silo Federated Learning on Heterogeneous Client Devices Using a Computing Power-Aware Scheduler
31. ICLR 2024Finite-State Autoregressive Entropy Coding for Efficient Learned Lossless Compression
32. ICLR 2024FlashFFTConv: Efficient Convolutions for Long Sequences with Tensor Cores
33. ICLR 2024Hybrid LLM: Cost-Efficient and Quality-Aware Query Routing
34. ICLR 2024IceFormer: Accelerated Inference with Long-Sequence Transformers on CPUs
35. ICLR 2024Increasing Model Capacity for Free: A Simple Strategy for Parameter Efficient Fine-tuning
36. ICLR 2024Jointly-Learned Exit and Inference for a Dynamic Neural Network
37. ICLR 2024Knowledge Distillation Based on Transformed Teacher Matching
38. ICLR 2024Language Model Cascades: Token-Level Uncertainty And Beyond
39. ICLR 2024Large Language Models are Efficient Learners of Noise-Robust Speech Recognition
40. ICLR 2024LEMON: Lossless model expansion
41. ICLR 2024Linear Log-Normal Attention with Unbiased Concentration
42. ICLR 2024LLaMA-Adapter: Efficient Fine-tuning of Large Language Models with Zero-initialized Attention
43. ICLR 2024LongLoRA: Efficient Fine-tuning of Long-Context Large Language Models
44. ICLR 2024LUT-GEMM: Quantized Matrix Multiplication based on LUTs for Efficient Inference in Large-Scale Generative Language Models
45. ICLR 2024Manipulating dropout reveals an optimal balance of efficiency and robustness in biological and machine visual systems
46. ICLR 2024MAPE-PPI: Towards Effective and Efficient Protein-Protein Interaction Prediction via Microenvironment-Aware Protein Embedding
47. ICLR 2024MEND: Meta Demonstration Distillation for Efficient and Effective In-Context Learning
48. ICLR 2024Merge, Then Compress: Demystify Efficient SMoE with Hints from Its Routing Policy
49. ICLR 2024Network Memory Footprint Compression Through Jointly Learnable Codebooks and Mappings
50. ICLR 2024Node2ket: Efficient High-Dimensional Network Embedding in Quantum Hilbert Space

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。