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

300 papers, page 2 of 6

51. CVPR 2024MCNet: Rethinking the Core Ingredients for Accurate and Efficient Homography Estimation
52. CVPR 2024MS-DETR: Efficient DETR Training with Mixed Supervision
53. CVPR 2024NAYER: Noisy Layer Data Generation for Efficient and Effective Data-free Knowledge Distillation
54. CVPR 2024On the Diversity and Realism of Distilled Dataset: An Efficient Dataset Distillation Paradigm
55. CVPR 2024Parameter Efficient Fine-tuning via Cross Block Orchestration for Segment Anything Model
56. CVPR 2024PeLK: Parameter-efficient Large Kernel ConvNets with Peripheral Convolution
57. CVPR 2024PEM: Prototype-based Efficient MaskFormer for Image Segmentation
58. CVPR 2024PerAda: Parameter-Efficient Federated Learning Personalization with Generalization Guarantees
59. CVPR 2024PTM-VQA: Efficient Video Quality Assessment Leveraging Diverse PreTrained Models from the Wild
60. CVPR 2024Puff-Net: Efficient Style Transfer with Pure Content and Style Feature Fusion Network
61. CVPR 2024Querying as Prompt: Parameter-Efficient Learning for Multimodal Language Model
62. CVPR 2024Real-World Efficient Blind Motion Deblurring via Blur Pixel Discretization
63. CVPR 2024Resource-Efficient Transformer Pruning for Finetuning of Large Models
64. CVPR 2024Robust Distillation via Untargeted and Targeted Intermediate Adversarial Samples
65. CVPR 2024S2MVTC: a Simple yet Efficient Scalable Multi-View Tensor Clustering
66. CVPR 2024Scalable 3D Registration via Truncated Entry-wise Absolute Residuals
67. CVPR 2024Scaled Decoupled Distillation
68. CVPR 2024Scaling Laws of Synthetic Images for Model Training ... for Now
69. CVPR 2024SDPose: Tokenized Pose Estimation via Circulation-Guide Self-Distillation
70. CVPR 2024Self-Distilled Masked Auto-Encoders are Efficient Video Anomaly Detectors
71. CVPR 2024SHViT: Single-Head Vision Transformer with Memory Efficient Macro Design
72. CVPR 2024SmartRefine: A Scenario-Adaptive Refinement Framework for Efficient Motion Prediction
73. CVPR 2024Structured Model Probing: Empowering Efficient Transfer Learning by Structured Regularization
74. CVPR 2024SVDinsTN: A Tensor Network Paradigm for Efficient Structure Search from Regularized Modeling Perspective
75. CVPR 2024Teeth-SEG: An Efficient Instance Segmentation Framework for Orthodontic Treatment based on Multi-Scale Aggregation and Anthropic Prior Knowledge
76. CVPR 2024Time- Memory- and Parameter-Efficient Visual Adaptation
77. CVPR 2024Time-Efficient Light-Field Acquisition Using Coded Aperture and Events
78. CVPR 2024Towards Efficient Replay in Federated Incremental Learning
79. CVPR 2024UniPT: Universal Parallel Tuning for Transfer Learning with Efficient Parameter and Memory
80. CVPR 2024VkD: Improving Knowledge Distillation using Orthogonal Projections
81. ICLR 2024Adaptive Window Pruning for Efficient Local Motion Deblurring
82. ICLR 2024ALAM: Averaged Low-Precision Activation for Memory-Efficient Training of Transformer Models
83. ICLR 2024ASMR: Activation-Sharing Multi-Resolution Coordinate Networks for Efficient Inference
84. ICLR 2024AutoChunk: Automated Activation Chunk for Memory-Efficient Deep Learning Inference
85. ICLR 2024AutoVP: An Automated Visual Prompting Framework and Benchmark
86. ICLR 2024BESA: Pruning Large Language Models with Blockwise Parameter-Efficient Sparsity Allocation
87. ICLR 2024CoT3DRef: Chain-of-Thoughts Data-Efficient 3D Visual Grounding
88. ICLR 2024Decongestion by Representation: Learning to Improve Economic Welfare in Marketplaces
89. ICLR 2024Dictionary Contrastive Learning for Efficient Local Supervision without Auxiliary Networks
90. ICLR 2024Differentiable Learning of Generalized Structured Matrices for Efficient Deep Neural Networks
91. ICLR 2024DreamGaussian: Generative Gaussian Splatting for Efficient 3D Content Creation
92. ICLR 2024Dropout-Based Rashomon Set Exploration for Efficient Predictive Multiplicity Estimation
93. ICLR 2024Dynamic Sparse Training with Structured Sparsity
94. ICLR 2024Effective and Efficient Federated Tree Learning on Hybrid Data
95. ICLR 2024Efficient Backpropagation with Variance Controlled Adaptive Sampling
96. ICLR 2024Efficient ConvBN Blocks for Transfer Learning and Beyond
97. ICLR 2024Efficient Heterogeneous Meta-Learning via Channel Shuffling Modulation
98. ICLR 2024Efficient local linearity regularization to overcome catastrophic overfitting
99. ICLR 2024Efficient Modulation for Vision Networks
100. ICLR 2024Efficient Score Matching with Deep Equilibrium Layers

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.