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 6 of 8

251. CVPR 2024Puff-Net: Efficient Style Transfer with Pure Content and Style Feature Fusion Network
252. CVPR 2024Querying as Prompt: Parameter-Efficient Learning for Multimodal Language Model
253. CVPR 2024Real-World Efficient Blind Motion Deblurring via Blur Pixel Discretization
254. CVPR 2024Resource-Efficient Transformer Pruning for Finetuning of Large Models
255. CVPR 2024Robust Distillation via Untargeted and Targeted Intermediate Adversarial Samples
256. CVPR 2024S2MVTC: a Simple yet Efficient Scalable Multi-View Tensor Clustering
257. CVPR 2024Scalable 3D Registration via Truncated Entry-wise Absolute Residuals
258. CVPR 2024Scaled Decoupled Distillation
259. CVPR 2024Scaling Laws of Synthetic Images for Model Training ... for Now
260. CVPR 2024SDPose: Tokenized Pose Estimation via Circulation-Guide Self-Distillation
261. CVPR 2024Self-Distilled Masked Auto-Encoders are Efficient Video Anomaly Detectors
262. CVPR 2024SHViT: Single-Head Vision Transformer with Memory Efficient Macro Design
263. CVPR 2024SmartRefine: A Scenario-Adaptive Refinement Framework for Efficient Motion Prediction
264. CVPR 2024Structured Model Probing: Empowering Efficient Transfer Learning by Structured Regularization
265. CVPR 2024SVDinsTN: A Tensor Network Paradigm for Efficient Structure Search from Regularized Modeling Perspective
266. CVPR 2024Teeth-SEG: An Efficient Instance Segmentation Framework for Orthodontic Treatment based on Multi-Scale Aggregation and Anthropic Prior Knowledge
267. CVPR 2024Time- Memory- and Parameter-Efficient Visual Adaptation
268. CVPR 2024Time-Efficient Light-Field Acquisition Using Coded Aperture and Events
269. CVPR 2024Towards Efficient Replay in Federated Incremental Learning
270. CVPR 2024UniPT: Universal Parallel Tuning for Transfer Learning with Efficient Parameter and Memory
271. CVPR 2024VkD: Improving Knowledge Distillation using Orthogonal Projections
272. CVPR 2023A Rotation-Translation-Decoupled Solution for Robust and Efficient Visual-Inertial Initialization
273. CVPR 2023Accelerating Dataset Distillation via Model Augmentation
274. CVPR 2023Adapting Shortcut With Normalizing Flow: An Efficient Tuning Framework for Visual Recognition
275. CVPR 2023AMT: All-Pairs Multi-Field Transforms for Efficient Frame Interpolation
276. CVPR 2023Auto-CARD: Efficient and Robust Codec Avatar Driving for Real-Time Mobile Telepresence
277. CVPR 2023BEV-LaneDet: An Efficient 3D Lane Detection Based on Virtual Camera via Key-Points
278. CVPR 2023Beyond Attentive Tokens: Incorporating Token Importance and Diversity for Efficient Vision Transformers
279. CVPR 2023C-SFDA: A Curriculum Learning Aided Self-Training Framework for Efficient Source Free Domain Adaptation
280. CVPR 2023Complexity-Guided Slimmable Decoder for Efficient Deep Video Compression
281. CVPR 2023Comprehensive and Delicate: An Efficient Transformer for Image Restoration
282. CVPR 2023Constructing Deep Spiking Neural Networks From Artificial Neural Networks With Knowledge Distillation
283. CVPR 2023Content-Aware Token Sharing for Efficient Semantic Segmentation With Vision Transformers
284. CVPR 2023Context-Aware Pretraining for Efficient Blind Image Decomposition
285. CVPR 2023CUF: Continuous Upsampling Filters
286. CVPR 2023Data-Efficient Large Scale Place Recognition With Graded Similarity Supervision
287. CVPR 2023Decentralized Learning With Multi-Headed Distillation
288. CVPR 2023Deep Discriminative Spatial and Temporal Network for Efficient Video Deblurring
289. CVPR 2023Differentiable Shadow Mapping for Efficient Inverse Graphics
290. CVPR 2023DisCo-CLIP: A Distributed Contrastive Loss for Memory Efficient CLIP Training
291. CVPR 2023DistilPose: Tokenized Pose Regression With Heatmap Distillation
292. CVPR 2023Don't Lie to Me! Robust and Efficient Explainability With Verified Perturbation Analysis
293. CVPR 2023Efficient and Explicit Modelling of Image Hierarchies for Image Restoration
294. CVPR 2023Efficient Frequency Domain-Based Transformers for High-Quality Image Deblurring
295. CVPR 2023Efficient Loss Function by Minimizing the Detrimental Effect of Floating-Point Errors on Gradient-Based Attacks
296. CVPR 2023Efficient Map Sparsification Based on 2D and 3D Discretized Grids
297. CVPR 2023Efficient Mask Correction for Click-Based Interactive Image Segmentation
298. CVPR 2023Efficient Movie Scene Detection Using State-Space Transformers
299. CVPR 2023Efficient Multimodal Fusion via Interactive Prompting
300. CVPR 2023Efficient On-Device Training via Gradient Filtering

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.