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

118 papers, page 1 of 3

1. ICML 2025A Hitchhiker's Guide to Scaling Law Estimation
2. ICML 2025A Memory Efficient Randomized Subspace Optimization Method for Training Large Language Models
3. ICML 2025A Sample Efficient Conditional Independence Test in the Presence of Discretization
4. ICML 2025A Simple Model of Inference Scaling Laws
5. ICML 2025Adapting Precomputed Features for Efficient Graph Condensation
6. ICML 2025An Adaptive Orthogonal Convolution Scheme for Efficient and Flexible CNN Architectures
7. ICML 2025An Efficient Matrix Multiplication Algorithm for Accelerating Inference in Binary and Ternary Neural Networks
8. ICML 2025An Efficient Pruner for Large Language Model with Theoretical Guarantee
9. ICML 2025An Efficient Search-and-Score Algorithm for Ancestral Graphs using Multivariate Information Scores for Complex Non-linear and Categorical Data
10. ICML 2025An Expressive and Self-Adaptive Dynamical System for Efficient Function Learning
11. ICML 2025Beyond Low-rank Decomposition: A Shortcut Approach for Efficient On-Device Learning
12. ICML 2025Beyond Self-Repellent Kernels: History-Driven Target Towards Efficient Nonlinear MCMC on General Graphs
13. ICML 2025BlockDialect: Block-wise Fine-grained Mixed Format Quantization for Energy-Efficient LLM Inference
14. ICML 2025BSLoRA: Enhancing the Parameter Efficiency of LoRA with Intra-Layer and Inter-Layer Sharing
15. ICML 2025COKE: Core Kernel for More Efficient Approximation of Kernel Weights in Multiple Kernel Clustering
16. ICML 2025Complete-Tree Space Favors Data-Efficient Link Prediction
17. ICML 2025Compositional Generalization via Forced Rendering of Disentangled Latents
18. ICML 2025Connecting Thompson Sampling and UCB: Towards More Efficient Trade-offs Between Privacy and Regret
19. ICML 2025Cost-efficient Collaboration between On-device and Cloud Language Models
20. ICML 2025DA-KD: Difficulty-Aware Knowledge Distillation for Efficient Large Language Models
21. ICML 2025Determinant Estimation under Memory Constraints and Neural Scaling Laws
22. ICML 2025Distillation Scaling Laws
23. ICML 2025Does Data Scaling Lead to Visual Compositional Generalization?
24. ICML 2025EAGLES: Towards Effective, Efficient, and Economical Federated Graph Learning via Unified Sparsification
25. ICML 2025Earley-Driven Dynamic Pruning for Efficient Structured Decoding
26. ICML 2025Efficient and Separate Authentication Image Steganography Network
27. ICML 2025Efficient ANN-SNN Conversion with Error Compensation Learning
28. ICML 2025Efficient Bisection Projection to Ensure Neural-Network Solution Feasibility for Optimization over General Set
29. ICML 2025Efficient Core-set Selection for Deep Learning Through Squared Loss Minimization
30. ICML 2025Efficient Federated Incomplete Multi-View Clustering
31. ICML 2025Efficient Graph Continual Learning via Lightweight Graph Neural Tangent Kernels-based Dataset Distillation
32. ICML 2025Efficient Heterogeneity-Aware Federated Active Data Selection
33. ICML 2025Efficient Logit-based Knowledge Distillation of Deep Spiking Neural Networks for Full-Range Timestep Deployment
34. ICML 2025Efficient Long Context Fine-tuning with Chunk Flow
35. ICML 2025Efficient Network Automatic Relevance Determination
36. ICML 2025Efficient Optimization with Orthogonality Constraint: a Randomized Riemannian Submanifold Method
37. ICML 2025Efficient Parallel Training Methods for Spiking Neural Networks with Constant Time Complexity
38. ICML 2025Efficient Quantification of Multimodal Interaction at Sample Level
39. ICML 2025Efficient Robust Conformal Prediction via Lipschitz-Bounded Networks
40. ICML 2025Efficient Time Series Processing for Transformers and State-Space Models through Token Merging
41. ICML 2025Equivariant Polynomial Functional Networks
42. ICML 2025Fast Inference with Kronecker-Sparse Matrices
43. ICML 2025FastCAV: Efficient Computation of Concept Activation Vectors for Explaining Deep Neural Networks
44. ICML 2025FedOne: Query-Efficient Federated Learning for Black-box Discrete Prompt Learning
45. ICML 2025FedSMU: Communication-Efficient and Generalization-Enhanced Federated Learning through Symbolic Model Updates
46. ICML 2025FisherSFT: Data-Efficient Supervised Fine-Tuning of Language Models Using Information Gain
47. ICML 2025Flexible and Efficient Grammar-Constrained Decoding
48. ICML 2025Flexible, Efficient, and Stable Adversarial Attacks on Machine Unlearning
49. ICML 2025FloE: On-the-Fly MoE Inference on Memory-constrained GPU
50. ICML 2025FRUGAL: Memory-Efficient Optimization by Reducing State Overhead for Scalable Training

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.