Efficient Training papers, 2023–2026
Scaling laws, MoE, distillation, and training efficiency
Scope: NeurIPS, ICLR, ICML and CVPR, 2023–2026. 1,765 papers are tagged with this topic.
Key findings
- Efficient Training went from 346 papers in 2023 to 603 in 2026, roughly 1.7x in three years.
- NeurIPS publishes the most Efficient Training work: 499 papers from 2023 to 2026, 28% of the four-venue total.
- The fastest-growing overlap is with Deep learning · large language models: papers tagged with both rose from 6 in 2023 to 50 in 2026.
- Among the 5 topics under Efficiency and Systems, it ranks #3 by 2026 paper count; the fastest grower in the group, Hardware-Aware ML, is up 4.4x versus 1.7x here.
Papers per venue
Counts by year and venue
| Year | NeurIPS | ICLR | ICML | CVPR | Total |
|---|---|---|---|---|---|
| 2023 | 112 | 67 | 83 | 84 | 346 |
| 2024 | 20 | 78 | 122 | 80 | 300 |
| 2025 | 190 | 126 | 118 | 82 | 516 |
| 2026 | 177 | 148 | 169 | 109 | 603 |
Representative papers
Spread across years and venues so every edition shows up
- 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
All Efficient Training papers
84 papers, page 2 of 2
- CVPR 2023LEMaRT: Label-Efficient Masked Region Transform for Image Harmonization
- CVPR 2023Lite DETR: An Interleaved Multi-Scale Encoder for Efficient DETR
- CVPR 2023Localized Semantic Feature Mixers for Efficient Pedestrian Detection in Autonomous Driving
- CVPR 2023Masked Autoencoders Enable Efficient Knowledge Distillers
- CVPR 2023Minimizing the Accumulated Trajectory Error To Improve Dataset Distillation
- CVPR 2023N-Gram in Swin Transformers for Efficient Lightweight Image Super-Resolution
- CVPR 2023Nerflets: Local Radiance Fields for Efficient Structure-Aware 3D Scene Representation From 2D Supervision
- CVPR 2023Neural Rate Estimator and Unsupervised Learning for Efficient Distributed Image Analytics in Split-DNN Models
- CVPR 2023PointDistiller: Structured Knowledge Distillation Towards Efficient and Compact 3D Detection
- CVPR 2023PoseFormerV2: Exploring Frequency Domain for Efficient and Robust 3D Human Pose Estimation
- CVPR 2023POTTER: Pooling Attention Transformer for Efficient Human Mesh Recovery
- CVPR 2023Progressive Spatio-Temporal Alignment for Efficient Event-Based Motion Estimation
- CVPR 2023ProphNet: Efficient Agent-Centric Motion Forecasting With Anchor-Informed Proposals
- CVPR 2023ProtoCon: Pseudo-Label Refinement via Online Clustering and Prototypical Consistency for Efficient Semi-Supervised Learning
- CVPR 2023Pruning Parameterization With Bi-Level Optimization for Efficient Semantic Segmentation on the Edge
- CVPR 2023Q-DETR: An Efficient Low-Bit Quantized Detection Transformer
- CVPR 2023Re-GAN: Data-Efficient GANs Training via Architectural Reconfiguration
- CVPR 2023RelightableHands: Efficient Neural Relighting of Articulated Hand Models
- CVPR 2023Resource-Efficient RGBD Aerial Tracking
- CVPR 2023Samples With Low Loss Curvature Improve Data Efficiency
- CVPR 2023Solving Relaxations of MAP-MRF Problems: Combinatorial In-Face Frank-Wolfe Directions
- CVPR 2023Spider GAN: Leveraging Friendly Neighbors To Accelerate GAN Training
- CVPR 2023Stitchable Neural Networks
- CVPR 2023Structured Sparsity Learning for Efficient Video Super-Resolution
- CVPR 2023Temporal Attention Unit: Towards Efficient Spatiotemporal Predictive Learning
- CVPR 2023Tensor4D: Efficient Neural 4D Decomposition for High-Fidelity Dynamic Reconstruction and Rendering
- CVPR 2023The Dark Side of Dynamic Routing Neural Networks: Towards Efficiency Backdoor Injection
- CVPR 2023TokenHPE: Learning Orientation Tokens for Efficient Head Pose Estimation via Transformers
- CVPR 2023Towards a Smaller Student: Capacity Dynamic Distillation for Efficient Image Retrieval
- CVPR 2023Towards Efficient Use of Multi-Scale Features in Transformer-Based Object Detectors
- CVPR 2023Towards High-Quality and Efficient Video Super-Resolution via Spatial-Temporal Data Overfitting
- CVPR 2023Visual Query Tuning: Towards Effective Usage of Intermediate Representations for Parameter and Memory Efficient Transfer Learning
- CVPR 2023You Can Ground Earlier Than See: An Effective and Efficient Pipeline for Temporal Sentence Grounding in Compressed Videos
- CVPR 2023Zero-Shot Noise2Noise: Efficient Image Denoising Without Any Data
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FAQ
- How many Efficient Training papers were published at NeurIPS, ICLR, ICML and CVPR from 2023 to 2026?
- 1,765 in total: 346 in 2023, 300 in 2024, 516 in 2025, 603 in 2026.
- How many Efficient Training papers are at NeurIPS 2026?
- NeurIPS 2026 has 177 Efficient Training papers, versus 190 the year before.
- How many Efficient Training papers are at ICLR 2026?
- ICLR 2026 has 148 Efficient Training papers, versus 126 the year before.
- How many Efficient Training papers are at ICML 2026?
- ICML 2026 has 169 Efficient Training papers, versus 118 the year before.
- How many Efficient Training papers are at CVPR 2026?
- CVPR 2026 has 109 Efficient Training papers, versus 82 the year before.
- Which conference publishes the most Efficient Training papers?
- NeurIPS, with 499 papers from 2023 to 2026.