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

148 papers, page 1 of 3

1. ICLR 2026$\mu$LO: Compute-Efficient Meta-Generalization of Learned Optimizers
2. ICLR 2026A Generalized Geometric Theoretical Framework of Centroid Discriminant Analysis for Linear Classification of Multi-dimensional Data
3. ICLR 2026A universal compression theory: Lottery ticket hypothesis and superpolynomial scaling laws
4. ICLR 2026Achieving low-bit Muon through subspace preservation and grid quantization
5. ICLR 2026An Efficient SE(p)-Invariant Transport Metric Driven by Polar Transport Discrepancy-based Representation
6. ICLR 2026Annotation-Efficient Honesty Alignment via Confidence Elicitation and Calibration
7. ICLR 2026AnyBCQ: Hardware Efficient Flexible Binary-Coded Quantization for Multi-Precision LLMs
8. ICLR 2026AQER: A Scalable and Efficient Data Loader for Digital Quantum Computers
9. ICLR 2026ATLAS: Adaptive Transfer Scaling Laws for Multilingual Pretraining, Finetuning, and Decoding the Curse of Multilinguality
10. ICLR 2026Batch Pruning by Activation Stability
11. ICLR 2026Beyond Masks: Efficient, Flexible Diffusion Language Models via Deletion-Insertion Processes
12. ICLR 2026Beyond Outliers: A Study of Optimizers Under Quantization
13. ICLR 2026Beyond Student: An Asymmetric Network for Neural Network Inheritance
14. ICLR 2026Beyond URLs: Metadata Diversity and Position for Efficient LLM Pretraining
15. ICLR 2026BLADE: Block-Sparse Attention Meets Step Distillation for Efficient Video Generation
16. ICLR 2026Break the Trade-off Between Watermark Strength and Speculative Sampling Efficiency for Language Models
17. ICLR 2026Cascadia: An Efficient Cascade Serving System for Large Language Models
18. ICLR 2026CaTS: Calibrated Test-Time Scaling for Efficient LLM Reasoning
19. ICLR 2026Channel-Aware Mixed-Precision Quantization for Efficient Long-Context Inference
20. ICLR 2026Composer: A Search Framework for Hybrid Neural Architecture Design
21. ICLR 2026Compute-Optimal Quantization-Aware Training
22. ICLR 2026Convex Efficient Coding
23. ICLR 2026Cost-Aware Dynamic Tree Construction for Efficient Large Language Model Inference
24. ICLR 2026CR-Net: Scaling Parameter-Efficient Training with Cross-Layer Low-Rank Structure
25. ICLR 2026DeCo-DETR: Decoupled Cognition DETR for efficient Open-Vocabulary Object Detection
26. ICLR 2026Difficulty–Diversity Collaborative Filtering for Data-Efficient LLM Fine-Tuning
27. ICLR 2026DiffusionBlocks: Block-wise Neural Network Training via Diffusion Interpretation
28. ICLR 2026DisTaC: Conditioning Task Vectors via Distillation for Robust Model Merging
29. ICLR 2026Distillation of Large Language Models via Concrete Score Matching
30. ICLR 2026Distilling to Hybrid Attention Models via KL-Guided Layer Selection
31. ICLR 2026DPad: Efficient Diffusion Language Models with Suffix Dropout
32. ICLR 2026DPQuant: Efficient and Private Model Training via Dynamic Quantization Scheduling
33. ICLR 2026Dual Language Models: Balancing sample-efficiency and overfitting resilience
34. ICLR 2026DUET: DISTILLED LLM UNLEARNING FROM AN EFFICIENTLY CONTEXTUALIZED TEACHER
35. ICLR 2026Efficient and Sharp Off-Policy Learning under Unobserved Confounding
36. ICLR 2026Efficient Approximate Posterior Sampling with Annealed Langevin Monte Carlo
37. ICLR 2026Efficient Autoregressive Inference for Transformer Probabilistic Models
38. ICLR 2026Efficient Best-of-Both-Worlds Algorithms for Contextual Combinatorial Semi-Bandits
39. ICLR 2026Efficient Credal Prediction through Decalibration
40. ICLR 2026Efficient Degradation-agnostic Image Restoration via Channel-Wise Functional Decomposition and Manifold Regularization
41. ICLR 2026Efficient Differentiable Contact Model with Long-range Influence
42. ICLR 2026Efficient Ensemble Conditional Independence Test Framework for Causal Discovery
43. ICLR 2026Efficient Learning on Large Graphs using a Densifying Regularity Lemma
44. ICLR 2026Efficient Message-Passing Transformer for Error Correcting Codes
45. ICLR 2026Efficient Multi-objective Prompt Optimization via Pure-exploration Bandits
46. ICLR 2026Efficient Orthogonal Fine-Tuning with Principal Subspace Adaptation
47. ICLR 2026Efficient Prediction of Large Protein Complexes via Subunit-Guided Hierarchical Refinement
48. ICLR 2026Efficient Quantization of Mixture-of-Experts with Theoretical Generalization Guarantees
49. ICLR 2026Efficient Sliced Wasserstein Distance Computation via Adaptive Bayesian Optimization
50. ICLR 2026Efficient-SAM2: Accelerating SAM2 with Object-Aware Visual Encoding and Memory Retrieval

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.