高效训练论文趋势 2023–2026
Scaling law、MoE、蒸馏与训练效率
统计范围:NeurIPS、ICLR、ICML、CVPR 四个会议,2023–2026 年,共 1,765 篇被归入该主题的论文。
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。
各会议论文数
按年份和会议统计
| 年份 | NeurIPS | ICLR | ICML | CVPR | 合计 |
|---|---|---|---|---|---|
| 2023 | 112 | 67 | 83 | 84 | 346 |
| 2024 | 20 | 78 | 122 | 80 | 300 |
| 2025 | 190 | 126 | 118 | 82 | 516 |
| 2026 | 177 | 148 | 169 | 109 | 603 |
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 1,765 篇,第 15 / 36 页
- ICLR 2025CipherPrune: Efficient and Scalable Private Transformer Inference
- ICLR 2025Closed-Form Merging of Parameter-Efficient Modules for Federated Continual Learning
- ICLR 2025COAT: Compressing Optimizer states and Activations for Memory-Efficient FP8 Training
- ICLR 2025Compute-Constrained Data Selection
- ICLR 2025Contractive Dynamical Imitation Policies for Efficient Out-of-Sample Recovery
- ICLR 2025Coreset Selection via Reducible Loss in Continual Learning
- ICLR 2025CSA: Data-efficient Mapping of Unimodal Features to Multimodal Features
- ICLR 2025Cut Your Losses in Large-Vocabulary Language Models
- ICLR 2025DARE the Extreme: Revisiting Delta-Parameter Pruning For Fine-Tuned Models
- ICLR 2025Data Scaling Laws in Imitation Learning for Robotic Manipulation
- ICLR 2025Data Shapley in One Training Run
- ICLR 2025Dataset Distillation via Knowledge Distillation: Towards Efficient Self-Supervised Pre-training of Deep Networks
- ICLR 2025DCT-CryptoNets: Scaling Private Inference in the Frequency Domain
- ICLR 2025DeepGate4: Efficient and Effective Representation Learning for Circuit Design at Scale
- ICLR 2025DeFT: Decoding with Flash Tree-attention for Efficient Tree-structured LLM Inference
- ICLR 2025DELIFT: Data Efficient Language model Instruction Fine-Tuning
- ICLR 2025DistillHGNN: A Knowledge Distillation Approach for High-Speed Hypergraph Neural Networks
- ICLR 2025DRESSing Up LLM: Efficient Stylized Question-Answering via Style Subspace Editing
- ICLR 2025DuoAttention: Efficient Long-Context LLM Inference with Retrieval and Streaming Heads
- ICLR 2025DynFrs: An Efficient Framework for Machine Unlearning in Random Forest
- ICLR 2025EDiT: A Local-SGD-Based Efficient Distributed Training Method for Large Language Models
- ICLR 2025Effective and Efficient Time-Varying Counterfactual Prediction with State-Space Models
- ICLR 2025Effective Interplay between Sparsity and Quantization: From Theory to Practice
- ICLR 2025Efficient and Accurate Explanation Estimation with Distribution Compression
- ICLR 2025Efficient and Robust Neural Combinatorial Optimization via Wasserstein-Based Coresets
- ICLR 2025Efficient and Trustworthy Causal Discovery with Latent Variables and Complex Relations
- ICLR 2025Efficient Automated Circuit Discovery in Transformers using Contextual Decomposition
- ICLR 2025Efficient Causal Decision Making with One-sided Feedback
- ICLR 2025Efficient Diffusion Transformer Policies with Mixture of Expert Denoisers for Multitask Learning
- ICLR 2025Efficient Distribution Matching of Representations via Noise-Injected Deep InfoMax
- ICLR 2025Efficient Inference for Large Language Model-based Generative Recommendation
- ICLR 2025EFFICIENT JAILBREAK ATTACK SEQUENCES ON LARGE LANGUAGE MODELS VIA MULTI-ARMED BANDIT-BASED CONTEXT SWITCHING
- ICLR 2025Efficient Masked AutoEncoder for Video Object Counting and A Large-Scale Benchmark
- ICLR 2025Efficient Model Editing with Task-Localized Sparse Fine-tuning
- ICLR 2025Efficient Neuron Segmentation in Electron Microscopy by Affinity-Guided Queries
- ICLR 2025Efficient Top-m Data Values Identification for Data Selection
- ICLR 2025Efficient Training of Neural Stochastic Differential Equations by Matching Finite Dimensional Distributions
- ICLR 2025Emergent Orientation Maps —— Mechanisms, Coding Efficiency and Robustness
- ICLR 2025EMMA: Empowering Multi-modal Mamba with Structural and Hierarchical Alignment
- ICLR 2025Equivariant Masked Position Prediction for Efficient Molecular Representation
- ICLR 2025Explaining Modern Gated-Linear RNNs via a Unified Implicit Attention Formulation
- ICLR 2025Exploiting Distribution Constraints for Scalable and Efficient Image Retrieval
- ICLR 2025Exploring Learning Complexity for Efficient Downstream Dataset Pruning
- ICLR 2025FedTMOS: Efficient One-Shot Federated Learning with Tsetlin Machine
- ICLR 2025Few-Class Arena: A Benchmark for Efficient Selection of Vision Models and Dataset Difficulty Measurement
- ICLR 2025FlashMask: Efficient and Rich Mask Extension of FlashAttention
- ICLR 2025FlexPrefill: A Context-Aware Sparse Attention Mechanism for Efficient Long-Sequence Inference
- ICLR 2025Fundamental Limits of Prompt Tuning Transformers: Universality, Capacity and Efficiency
- ICLR 2025Gaussian Ensemble Belief Propagation for Efficient Inference in High-Dimensional, Black-box Systems
- ICLR 2025Geometry Image Diffusion: Fast and Data-Efficient Text-to-3D with Image-Based Surface Representation
在 Claude、Cursor 里直接问这个趋势
接上 Paperlist MCP 后,写综述、挑方向或准备投稿时,不用离开对话框就能拿到这页的数字:每年各会议的论文数、增长倍数、涨得最快的子方向和代表论文,AI 会按你的问题整理。
可以直接复制这句话问 AI
用 paperlist 查高效训练在 NeurIPS 2023–2026 的论文趋势,哪一年涨得最快?
AI 会调用的工具:get_topic_stats {"topic": "efficient-training"}
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。