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

83 papers, page 1 of 2

1. ICML 2023Auxiliary Modality Learning with Generalized Curriculum Distillation
2. ICML 2023BEATs: Audio Pre-Training with Acoustic Tokenizers
3. ICML 2023Bi-directional Masks for Efficient N:M Sparse Training
4. ICML 2023Bigger, Better, Faster: Human-level Atari with human-level efficiency
5. ICML 2023Brainformers: Trading Simplicity for Efficiency
6. ICML 2023Communication-Efficient Federated Hypergradient Computation via Aggregated Iterative Differentiation
7. ICML 2023Constrained Efficient Global Optimization of Expensive Black-box Functions
8. ICML 2023Cramming: Training a Language Model on a single GPU in one day.
9. ICML 2023Data Efficient Neural Scaling Law via Model Reusing
10. ICML 2023Data-Efficient Contrastive Self-supervised Learning: Most Beneficial Examples for Supervised Learning Contribute the Least
11. ICML 2023Data-OOB: Out-of-bag Estimate as a Simple and Efficient Data Value
12. ICML 2023Dataset Distillation with Convexified Implicit Gradients
13. ICML 2023Decoding Layer Saliency in Language Transformers
14. ICML 2023Deja Vu: Contextual Sparsity for Efficient LLMs at Inference Time
15. ICML 2023DIVISION: Memory Efficient Training via Dual Activation Precision
16. ICML 2023dugMatting: Decomposed-Uncertainty-Guided Matting
17. ICML 2023Effective and Efficient Structural Inference with Reservoir Computing
18. ICML 2023Efficient and Degree-Guided Graph Generation via Discrete Diffusion Modeling
19. ICML 2023Efficient and Equivariant Graph Networks for Predicting Quantum Hamiltonian
20. ICML 2023Efficient Approximations of Complete Interatomic Potentials for Crystal Property Prediction
21. ICML 2023Efficient Bound of Lipschitz Constant for Convolutional Layers by Gram Iteration
22. ICML 2023Efficient displacement convex optimization with particle gradient descent
23. ICML 2023Efficient Latency-Aware CNN Depth Compression via Two-Stage Dynamic Programming
24. ICML 2023Efficient List-Decodable Regression using Batches
25. ICML 2023Efficient Parametric Approximations of Neural Network Function Space Distance
26. ICML 2023Efficient Personalized Federated Learning via Sparse Model-Adaptation
27. ICML 2023Efficient preconditioned stochastic gradient descent for estimation in latent variable models
28. ICML 2023Efficient Quantum Algorithms for Quantum Optimal Control
29. ICML 2023Efficient Rate Optimal Regret for Adversarial Contextual MDPs Using Online Function Approximation
30. ICML 2023Efficient RL via Disentangled Environment and Agent Representations
31. ICML 2023Efficient Sequence Transduction by Jointly Predicting Tokens and Durations
32. ICML 2023Efficient Training of Language Models using Few-Shot Learning
33. ICML 2023ELSA: Efficient Label Shift Adaptation through the Lens of Semiparametric Models
34. ICML 2023Forget Unlearning: Towards True Data-Deletion in Machine Learning
35. ICML 2023Fourmer: An Efficient Global Modeling Paradigm for Image Restoration
36. ICML 2023GAT: Guided Adversarial Training with Pareto-optimal Auxiliary Tasks
37. ICML 2023Generalized-Smooth Nonconvex Optimization is As Efficient As Smooth Nonconvex Optimization
38. ICML 2023HETAL: Efficient Privacy-preserving Transfer Learning with Homomorphic Encryption
39. ICML 2023Hierarchical Grammar-Induced Geometry for Data-Efficient Molecular Property Prediction
40. ICML 2023JAWS-X: Addressing Efficiency Bottlenecks of Conformal Prediction Under Standard and Feedback Covariate Shift
41. ICML 2023Label differential privacy and private training data release
42. ICML 2023Learn to Accumulate Evidence from All Training Samples: Theory and Practice
43. ICML 2023LESS-VFL: Communication-Efficient Feature Selection for Vertical Federated Learning
44. ICML 2023Linkless Link Prediction via Relational Distillation
45. ICML 2023Lowering the Pre-training Tax for Gradient-based Subset Training: A Lightweight Distributed Pre-Training Toolkit
46. ICML 2023Margin-based sampling in high dimensions: When being active is less efficient than staying passive
47. ICML 2023Moccasin: Efficient Tensor Rematerialization for Neural Networks
48. ICML 2023Momentum Ensures Convergence of SIGNSGD under Weaker Assumptions
49. ICML 2023Multi-Objective Population Based Training
50. ICML 2023NTK-approximating MLP Fusion for Efficient Language Model Fine-tuning

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.