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 1 of 2
- CVPR 2023A Rotation-Translation-Decoupled Solution for Robust and Efficient Visual-Inertial Initialization
- CVPR 2023Accelerating Dataset Distillation via Model Augmentation
- CVPR 2023Adapting Shortcut With Normalizing Flow: An Efficient Tuning Framework for Visual Recognition
- CVPR 2023AMT: All-Pairs Multi-Field Transforms for Efficient Frame Interpolation
- CVPR 2023Auto-CARD: Efficient and Robust Codec Avatar Driving for Real-Time Mobile Telepresence
- CVPR 2023BEV-LaneDet: An Efficient 3D Lane Detection Based on Virtual Camera via Key-Points
- CVPR 2023Beyond Attentive Tokens: Incorporating Token Importance and Diversity for Efficient Vision Transformers
- CVPR 2023C-SFDA: A Curriculum Learning Aided Self-Training Framework for Efficient Source Free Domain Adaptation
- CVPR 2023Complexity-Guided Slimmable Decoder for Efficient Deep Video Compression
- CVPR 2023Comprehensive and Delicate: An Efficient Transformer for Image Restoration
- CVPR 2023Constructing Deep Spiking Neural Networks From Artificial Neural Networks With Knowledge Distillation
- CVPR 2023Content-Aware Token Sharing for Efficient Semantic Segmentation With Vision Transformers
- CVPR 2023Context-Aware Pretraining for Efficient Blind Image Decomposition
- CVPR 2023CUF: Continuous Upsampling Filters
- CVPR 2023Data-Efficient Large Scale Place Recognition With Graded Similarity Supervision
- CVPR 2023Decentralized Learning With Multi-Headed Distillation
- CVPR 2023Deep Discriminative Spatial and Temporal Network for Efficient Video Deblurring
- CVPR 2023Differentiable Shadow Mapping for Efficient Inverse Graphics
- CVPR 2023DisCo-CLIP: A Distributed Contrastive Loss for Memory Efficient CLIP Training
- CVPR 2023DistilPose: Tokenized Pose Regression With Heatmap Distillation
- CVPR 2023Don't Lie to Me! Robust and Efficient Explainability With Verified Perturbation Analysis
- CVPR 2023Efficient and Explicit Modelling of Image Hierarchies for Image Restoration
- CVPR 2023Efficient Frequency Domain-Based Transformers for High-Quality Image Deblurring
- CVPR 2023Efficient Loss Function by Minimizing the Detrimental Effect of Floating-Point Errors on Gradient-Based Attacks
- CVPR 2023Efficient Map Sparsification Based on 2D and 3D Discretized Grids
- CVPR 2023Efficient Mask Correction for Click-Based Interactive Image Segmentation
- CVPR 2023Efficient Movie Scene Detection Using State-Space Transformers
- CVPR 2023Efficient Multimodal Fusion via Interactive Prompting
- CVPR 2023Efficient On-Device Training via Gradient Filtering
- CVPR 2023Efficient RGB-T Tracking via Cross-Modality Distillation
- CVPR 2023Efficient Robust Principal Component Analysis via Block Krylov Iteration and CUR Decomposition
- CVPR 2023Efficient Scale-Invariant Generator With Column-Row Entangled Pixel Synthesis
- CVPR 2023Efficient Semantic Segmentation by Altering Resolutions for Compressed Videos
- CVPR 2023Efficient Verification of Neural Networks Against LVM-Based Specifications
- CVPR 2023Efficient View Synthesis and 3D-Based Multi-Frame Denoising With Multiplane Feature Representations
- CVPR 2023EfficientViT: Memory Efficient Vision Transformer With Cascaded Group Attention
- CVPR 2023Energy-Efficient Adaptive 3D Sensing
- CVPR 2023expOSE: Accurate Initialization-Free Projective Factorization Using Exponential Regularization
- CVPR 2023Extracting Motion and Appearance via Inter-Frame Attention for Efficient Video Frame Interpolation
- CVPR 2023FeatER: An Efficient Network for Human Reconstruction via Feature Map-Based TransformER
- CVPR 2023FedDM: Iterative Distribution Matching for Communication-Efficient Federated Learning
- CVPR 2023FFCV: Accelerating Training by Removing Data Bottlenecks
- CVPR 2023Fine-Tuned CLIP Models Are Efficient Video Learners
- CVPR 2023Four-View Geometry With Unknown Radial Distortion
- CVPR 2023Generalization Matters: Loss Minima Flattening via Parameter Hybridization for Efficient Online Knowledge Distillation
- CVPR 2023Generic-to-Specific Distillation of Masked Autoencoders
- CVPR 2023HelixSurf: A Robust and Efficient Neural Implicit Surface Learning of Indoor Scenes With Iterative Intertwined Regularization
- CVPR 2023Joint Appearance and Motion Learning for Efficient Rolling Shutter Correction
- CVPR 2023LargeKernel3D: Scaling Up Kernels in 3D Sparse CNNs
- CVPR 2023Learning Steerable Function for Efficient Image Resampling
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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.