Efficient Training papers, 2023–2026

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.

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

1,765 papers, page 24 of 36

1151. CVPR 2024ERMVP: Communication-Efficient and Collaboration-Robust Multi-Vehicle Perception in Challenging Environments
1152. CVPR 2024Exploiting Inter-sample and Inter-feature Relations in Dataset Distillation
1153. CVPR 2024Exploring Efficient Asymmetric Blind-Spots for Self-Supervised Denoising in Real-World Scenarios
1154. CVPR 2024FACT: Frame-Action Cross-Attention Temporal Modeling for Efficient Action Segmentation
1155. CVPR 2024FedMef: Towards Memory-efficient Federated Dynamic Pruning
1156. CVPR 2024FlashAvatar: High-fidelity Head Avatar with Efficient Gaussian Embedding
1157. CVPR 2024FlowIE: Efficient Image Enhancement via Rectified Flow
1158. CVPR 2024Gradient-based Parameter Selection for Efficient Fine-Tuning
1159. CVPR 2024Hourglass Tokenizer for Efficient Transformer-Based 3D Human Pose Estimation
1160. CVPR 2024How to Make Cross Encoder a Good Teacher for Efficient Image-Text Retrieval?
1161. CVPR 2024HybridNeRF: Efficient Neural Rendering via Adaptive Volumetric Surfaces
1162. CVPR 2024Integrating Efficient Optimal Transport and Functional Maps For Unsupervised Shape Correspondence Learning
1163. CVPR 2024Kandinsky Conformal Prediction: Efficient Calibration of Image Segmentation Algorithms
1164. CVPR 2024Label-Efficient Group Robustness via Out-of-Distribution Concept Curation
1165. CVPR 2024LEOD: Label-Efficient Object Detection for Event Cameras
1166. CVPR 2024Leveraging Camera Triplets for Efficient and Accurate Structure-from-Motion
1167. CVPR 2024Logit Standardization in Knowledge Distillation
1168. CVPR 2024Look-Up Table Compression for Efficient Image Restoration
1169. CVPR 2024LSK3DNet: Towards Effective and Efficient 3D Perception with Large Sparse Kernels
1170. CVPR 2024MCNet: Rethinking the Core Ingredients for Accurate and Efficient Homography Estimation
1171. CVPR 2024MS-DETR: Efficient DETR Training with Mixed Supervision
1172. CVPR 2024NAYER: Noisy Layer Data Generation for Efficient and Effective Data-free Knowledge Distillation
1173. CVPR 2024On the Diversity and Realism of Distilled Dataset: An Efficient Dataset Distillation Paradigm
1174. CVPR 2024Parameter Efficient Fine-tuning via Cross Block Orchestration for Segment Anything Model
1175. CVPR 2024PeLK: Parameter-efficient Large Kernel ConvNets with Peripheral Convolution
1176. CVPR 2024PEM: Prototype-based Efficient MaskFormer for Image Segmentation
1177. CVPR 2024PerAda: Parameter-Efficient Federated Learning Personalization with Generalization Guarantees
1178. CVPR 2024PTM-VQA: Efficient Video Quality Assessment Leveraging Diverse PreTrained Models from the Wild
1179. CVPR 2024Puff-Net: Efficient Style Transfer with Pure Content and Style Feature Fusion Network
1180. CVPR 2024Querying as Prompt: Parameter-Efficient Learning for Multimodal Language Model
1181. CVPR 2024Real-World Efficient Blind Motion Deblurring via Blur Pixel Discretization
1182. CVPR 2024Resource-Efficient Transformer Pruning for Finetuning of Large Models
1183. CVPR 2024Robust Distillation via Untargeted and Targeted Intermediate Adversarial Samples
1184. CVPR 2024S2MVTC: a Simple yet Efficient Scalable Multi-View Tensor Clustering
1185. CVPR 2024Scalable 3D Registration via Truncated Entry-wise Absolute Residuals
1186. CVPR 2024Scaled Decoupled Distillation
1187. CVPR 2024Scaling Laws of Synthetic Images for Model Training ... for Now
1188. CVPR 2024SDPose: Tokenized Pose Estimation via Circulation-Guide Self-Distillation
1189. CVPR 2024Self-Distilled Masked Auto-Encoders are Efficient Video Anomaly Detectors
1190. CVPR 2024SHViT: Single-Head Vision Transformer with Memory Efficient Macro Design
1191. CVPR 2024SmartRefine: A Scenario-Adaptive Refinement Framework for Efficient Motion Prediction
1192. CVPR 2024Structured Model Probing: Empowering Efficient Transfer Learning by Structured Regularization
1193. CVPR 2024SVDinsTN: A Tensor Network Paradigm for Efficient Structure Search from Regularized Modeling Perspective
1194. CVPR 2024Teeth-SEG: An Efficient Instance Segmentation Framework for Orthodontic Treatment based on Multi-Scale Aggregation and Anthropic Prior Knowledge
1195. CVPR 2024Time- Memory- and Parameter-Efficient Visual Adaptation
1196. CVPR 2024Time-Efficient Light-Field Acquisition Using Coded Aperture and Events
1197. CVPR 2024Towards Efficient Replay in Federated Incremental Learning
1198. CVPR 2024UniPT: Universal Parallel Tuning for Transfer Learning with Efficient Parameter and Memory
1199. CVPR 2024VkD: Improving Knowledge Distillation using Orthogonal Projections
1200. ICLR 2024Adaptive Window Pruning for Efficient Local Motion Deblurring

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.