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 492 篇，第 2 / 10 页

51. ICML 2026Efficient Parallel Samplers for Recurrent-Depth Models and Their Connection to Diffusion Language Models
52. ICML 2026Efficient RL Training for LLMs with Experience Replay
53. ICML 2026Efficient Stochastic Optimisation via Sequential Monte Carlo
54. ICML 2026Efficient Test-Time Scaling via Hierarchical Search and Self-Verification for Discrete Diffusion Language Models
55. ICML 2026Efficient Training-Free Multi-Token Prediction via Embedding-Space Probing
56. ICML 2026Efficient Transformer Attention for SNNs via Hadamard Simplification
57. ICML 2026Efficient-DLM: From Autoregressive to Diffusion Language Models, and Beyond in Speed
58. ICML 2026Evaluating Sample Utility for Efficient Data Selection by Mimicking Model Weights
59. ICML 2026Explaining Data Mixing Scaling Laws
60. ICML 2026Factored Gossip DiLoCo: Reducing Blocking Communication within DiLoCo
61. ICML 2026FAFO: Lossy KV Cache Compression for Lossless Inference Acceleration via Draftless Fumble Decoding
62. ICML 2026Fast and Expressive Multi-Byte Prediction with Probabilistic Circuits
63. ICML 2026Faster Than Flash: Exploiting Attention Sparsity for Efficient Long-Context Decoding
64. ICML 2026FlashOptim: Optimizers for Memory-Efficient Training
65. ICML 2026FlashSinkhorn: IO-Aware Entropic Optimal Transport on GPU
66. ICML 2026FOAM: Blocked State Folding for Memory-Efficient LLM Training
67. ICML 2026Generalization and Scaling Laws for Mixture-of-ExpertsTransformers
68. ICML 2026Gradient-Free Approaches is a Key to an Efficient Interaction with Markovian Stochasticity
69. ICML 2026Hard Labels In! Rethinking the Role of Hard Labels in Mitigating Local Semantic Drift
70. ICML 2026HO-SFL: Hybrid-Order Split Federated Learning with Backprop-Free Clients and Dimension-Free Aggregation
71. ICML 2026HONet: Data-Efficient Learning for Exact Cover Tasks via Hypergraph Optimization
72. ICML 2026HybridFlow: Resource-Adaptive Subtask Routing for Efficient Edge-Cloud LLM Inference
73. ICML 2026IAPO: Information-Aware Policy Optimization for Token-Efficient Reasoning
74. ICML 2026Improved Scaling Laws via Weak-to-Strong Generalization in Random Features Ridge Regression
75. ICML 2026Incremental BPE Tokenization
76. ICML 2026InfoLaw: Information Scaling Laws for Large Language Models with Quality-Weighted Mixture Data and Repetition
77. ICML 2026Inner-layer Token Self-modulation as Another Scaling Axis for LLMs
78. ICML 2026Interleaved Selective State Space Models for Efficient WiFi-Based 3D Multi-Person Pose Estimation
79. ICML 2026Inverse Depth Scaling From Most Layers Being Similar
80. ICML 2026IO-Adam: Rethinking Memory-Efficient Adaptive Optimizers from Gradient Computation
81. ICML 2026Item Response Scaling Laws: A Measurement Theory Approach for Efficient and Generalizable Neural Scaling Estimation
82. ICML 2026Kalman Linear Attention: Parallel Bayesian Filtering For Efficient Language Modeling and State Tracking
83. ICML 2026Knowledge Diversion for Efficient Morphology Control and Policy Transfer
84. ICML 2026Kronecker Generative Networks: A General Neural Architecture for Parameter-Efficient Learning Across Classification Tasks
85. ICML 2026KUMA: A Novel Framework with Koopman Separation and Efficient Multilevel Extraction in Time Series Forecasting
86. ICML 2026LAMP: Data-Efficient Linear Affine Weight-Space Models for Parameter-Controlled 3D Shape Generation and Extrapolation
87. ICML 2026LiMuon: Light and Fast Muon Optimizer for Large Models
88. ICML 2026LLM4Branch: Large Language Model for Discovering Efficient Branching Policies of Integer Programs
89. ICML 2026LMCleaner: Efficient and Certified Online Unlearning via Influence Propagation Truncation
90. ICML 2026LoKiFormer: Locality-aware Attention with Decoupled Knowledge Memory for Efficient Large Language Model Pretraining
91. ICML 2026LoRDO: Distributed Low-Rank Optimization with Infrequent Communication
92. ICML 2026MACKO: Sparse matrix-vector multiplication for low sparsity
93. ICML 2026Memory-Efficient LLM Pretraining via Minimalist Optimizer Design
94. ICML 2026Memory-Efficient LLM Training with Dynamic Sparsity: From Stability to Practical Scaling
95. ICML 2026Mining Tensor/Neuron-Level Sparsity to Maximize Mixture-of-Experts Potential in Post-Training and Inference
96. ICML 2026MoCo-EA: Exploiting Adversarial Mode Connectivity for Efficient Evolutionary Attacks
97. ICML 2026Model Merging Scaling Laws in Large Language Models
98. ICML 2026Modeling Covariate Transition for Efficient Estimation of Longitudinal Treatment Effects in Randomized Experiments
99. ICML 2026Multi-Head LatentMoE and Head Parallel: Communication-Efficient and Deterministic MoE Parallelism
100. ICML 2026Muon in Associative Memory Learning: Training Dynamics and Scaling Laws

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。