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

355 papers, page 7 of 8

301. CVPR 2023Efficient RGB-T Tracking via Cross-Modality Distillation
302. CVPR 2023Efficient Robust Principal Component Analysis via Block Krylov Iteration and CUR Decomposition
303. CVPR 2023Efficient Scale-Invariant Generator With Column-Row Entangled Pixel Synthesis
304. CVPR 2023Efficient Semantic Segmentation by Altering Resolutions for Compressed Videos
305. CVPR 2023Efficient Verification of Neural Networks Against LVM-Based Specifications
306. CVPR 2023Efficient View Synthesis and 3D-Based Multi-Frame Denoising With Multiplane Feature Representations
307. CVPR 2023EfficientViT: Memory Efficient Vision Transformer With Cascaded Group Attention
308. CVPR 2023Energy-Efficient Adaptive 3D Sensing
309. CVPR 2023expOSE: Accurate Initialization-Free Projective Factorization Using Exponential Regularization
310. CVPR 2023Extracting Motion and Appearance via Inter-Frame Attention for Efficient Video Frame Interpolation
311. CVPR 2023FeatER: An Efficient Network for Human Reconstruction via Feature Map-Based TransformER
312. CVPR 2023FedDM: Iterative Distribution Matching for Communication-Efficient Federated Learning
313. CVPR 2023FFCV: Accelerating Training by Removing Data Bottlenecks
314. CVPR 2023Fine-Tuned CLIP Models Are Efficient Video Learners
315. CVPR 2023Four-View Geometry With Unknown Radial Distortion
316. CVPR 2023Generalization Matters: Loss Minima Flattening via Parameter Hybridization for Efficient Online Knowledge Distillation
317. CVPR 2023Generic-to-Specific Distillation of Masked Autoencoders
318. CVPR 2023HelixSurf: A Robust and Efficient Neural Implicit Surface Learning of Indoor Scenes With Iterative Intertwined Regularization
319. CVPR 2023Joint Appearance and Motion Learning for Efficient Rolling Shutter Correction
320. CVPR 2023LargeKernel3D: Scaling Up Kernels in 3D Sparse CNNs
321. CVPR 2023Learning Steerable Function for Efficient Image Resampling
322. CVPR 2023LEMaRT: Label-Efficient Masked Region Transform for Image Harmonization
323. CVPR 2023Lite DETR: An Interleaved Multi-Scale Encoder for Efficient DETR
324. CVPR 2023Localized Semantic Feature Mixers for Efficient Pedestrian Detection in Autonomous Driving
325. CVPR 2023Masked Autoencoders Enable Efficient Knowledge Distillers
326. CVPR 2023Minimizing the Accumulated Trajectory Error To Improve Dataset Distillation
327. CVPR 2023N-Gram in Swin Transformers for Efficient Lightweight Image Super-Resolution
328. CVPR 2023Nerflets: Local Radiance Fields for Efficient Structure-Aware 3D Scene Representation From 2D Supervision
329. CVPR 2023Neural Rate Estimator and Unsupervised Learning for Efficient Distributed Image Analytics in Split-DNN Models
330. CVPR 2023PointDistiller: Structured Knowledge Distillation Towards Efficient and Compact 3D Detection
331. CVPR 2023PoseFormerV2: Exploring Frequency Domain for Efficient and Robust 3D Human Pose Estimation
332. CVPR 2023POTTER: Pooling Attention Transformer for Efficient Human Mesh Recovery
333. CVPR 2023Progressive Spatio-Temporal Alignment for Efficient Event-Based Motion Estimation
334. CVPR 2023ProphNet: Efficient Agent-Centric Motion Forecasting With Anchor-Informed Proposals
335. CVPR 2023ProtoCon: Pseudo-Label Refinement via Online Clustering and Prototypical Consistency for Efficient Semi-Supervised Learning
336. CVPR 2023Pruning Parameterization With Bi-Level Optimization for Efficient Semantic Segmentation on the Edge
337. CVPR 2023Q-DETR: An Efficient Low-Bit Quantized Detection Transformer
338. CVPR 2023Re-GAN: Data-Efficient GANs Training via Architectural Reconfiguration
339. CVPR 2023RelightableHands: Efficient Neural Relighting of Articulated Hand Models
340. CVPR 2023Resource-Efficient RGBD Aerial Tracking
341. CVPR 2023Samples With Low Loss Curvature Improve Data Efficiency
342. CVPR 2023Solving Relaxations of MAP-MRF Problems: Combinatorial In-Face Frank-Wolfe Directions
343. CVPR 2023Spider GAN: Leveraging Friendly Neighbors To Accelerate GAN Training
344. CVPR 2023Stitchable Neural Networks
345. CVPR 2023Structured Sparsity Learning for Efficient Video Super-Resolution
346. CVPR 2023Temporal Attention Unit: Towards Efficient Spatiotemporal Predictive Learning
347. CVPR 2023Tensor4D: Efficient Neural 4D Decomposition for High-Fidelity Dynamic Reconstruction and Rendering
348. CVPR 2023The Dark Side of Dynamic Routing Neural Networks: Towards Efficiency Backdoor Injection
349. CVPR 2023TokenHPE: Learning Orientation Tokens for Efficient Head Pose Estimation via Transformers
350. CVPR 2023Towards a Smaller Student: Capacity Dynamic Distillation for Efficient Image Retrieval

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.