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 82 篇,第 1 / 2 页
- CVPR 2025Accurate Scene Text Recognition with Efficient Model Scaling and Cloze Self-Distillation
- CVPR 2025ATP: Adaptive Threshold Pruning for Efficient Data Encoding in Quantum Neural Networks
- CVPR 2025Automatic Joint Structured Pruning and Quantization for Efficient Neural Network Training and Compression
- CVPR 2025AutoSSVH: Exploring Automated Frame Sampling for Efficient Self-Supervised Video Hashing
- CVPR 2025Beyond Local Sharpness: Communication-Efficient Global Sharpness-aware Minimization for Federated Learning
- CVPR 2025Brain-Inspired Spiking Neural Networks for Energy-Efficient Object Detection
- CVPR 2025CATANet: Efficient Content-Aware Token Aggregation for Lightweight Image Super-Resolution
- CVPR 2025Chapter-Llama: Efficient Chaptering in Hour-Long Videos with LLMs
- CVPR 2025CLIP is Almost All You Need: Towards Parameter-Efficient Scene Text Retrieval without OCR
- CVPR 2025COAP: Memory-Efficient Training with Correlation-Aware Gradient Projection
- CVPR 2025Collaborative Decoding Makes Visual Auto-Regressive Modeling Efficient
- CVPR 2025Dataset Distillation with Neural Characteristic Function: A Minmax Perspective
- CVPR 2025DEAL: Data-Efficient Adversarial Learning for High-Quality Infrared Imaging
- CVPR 2025DeCafNet: Delegate and Conquer for Efficient Temporal Grounding in Long Videos
- CVPR 2025DeRS: Towards Extremely Efficient Upcycled Mixture-of-Experts Models
- CVPR 2025DiverseFlow: Sample-Efficient Diverse Mode Coverage in Flows
- CVPR 2025DnLUT: Ultra-Efficient Color Image Denoising via Channel-Aware Lookup Tables
- CVPR 2025EASEMVC:Efficient Dual Selection Mechanism for Deep Multi-View Clustering
- CVPR 2025EasyCraft: A Robust and Efficient Framework for Automatic Avatar Crafting
- CVPR 2025EdgeTAM: On-Device Track Anything Model
- CVPR 2025Efficient ANN-Guided Distillation: Aligning Rate-based Features of Spiking Neural Networks through Hybrid Block-wise Replacement
- CVPR 2025Efficient Data Driven Mixture-of-Expert Extraction from Trained Networks
- CVPR 2025Efficient Depth Estimation for Unstable Stereo Camera Systems on AR Glasses
- CVPR 2025Efficient Diffusion as Low Light Enhancer
- CVPR 2025Efficient Dynamic Scene Editing via 4D Gaussian-based Static-Dynamic Separation
- CVPR 2025Efficient Event-Based Object Detection: A Hybrid Neural Network with Spatial and Temporal Attention
- CVPR 2025Efficient Long Video Tokenization via Coordinate-based Patch Reconstruction
- CVPR 2025Efficient Motion-Aware Video MLLM
- CVPR 2025Efficient Video Face Enhancement with Enhanced Spatial-Temporal Consistency
- CVPR 2025Efficient Visual State Space Model for Image Deblurring
- CVPR 2025EfficientViM: Efficient Vision Mamba with Hidden State Mixer based State Space Duality
- CVPR 2025Enduring, Efficient and Robust Trajectory Prediction Attack in Autonomous Driving via Optimization-Driven Multi-Frame Perturbation Framework
- CVPR 2025Enhancing Dataset Distillation via Non-Critical Region Refinement
- CVPR 2025EVOS: Efficient Implicit Neural Training via EVOlutionary Selector
- CVPR 2025Faster Parameter-Efficient Tuning with Token Redundancy Reduction
- CVPR 2025Ferret: An Efficient Online Continual Learning Framework under Varying Memory Constraints
- CVPR 2025FLAME: Frozen Large Language Models Enable Data-Efficient Language-Image Pre-training
- CVPR 2025Flexible Frame Selection for Efficient Video Reasoning
- CVPR 2025From Head to Tail: Efficient Black-box Model Inversion Attack via Long-tailed Learning
- CVPR 2025From Prototypes to General Distributions: An Efficient Curriculum for Masked Image Modeling
- CVPR 2025GaussianFormer-2: Probabilistic Gaussian Superposition for Efficient 3D Occupancy Prediction
- CVPR 2025Gradient Inversion Attacks on Parameter-Efficient Fine-Tuning
- CVPR 2025GroupMamba: Efficient Group-Based Visual State Space Model
- CVPR 2025Improving the Training of Data-Efficient GANs via Quality Aware Dynamic Discriminator Rejection Sampling
- CVPR 2025K-Sort Arena: Efficient and Reliable Benchmarking for Generative Models via K-wise Human Preferences
- CVPR 2025Keep the Balance: A Parameter-Efficient Symmetrical Framework for RGB+X Semantic Segmentation
- CVPR 2025Layer- and Timestep-Adaptive Differentiable Token Compression Ratios for Efficient Diffusion Transformers
- CVPR 2025Less is More: Efficient Image Vectorization with Adaptive Parameterization
- CVPR 2025Less is More: Efficient Model Merging with Binary Task Switch
- CVPR 2025Lessons and Insights from a Unifying Study of Parameter-Efficient Fine-Tuning (PEFT) in Visual Recognition
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。