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

126 papers, page 1 of 3

1. ICLR 2025(Mis)Fitting Scaling Laws: A Survey of Scaling Law Fitting Techniques in Deep Learning
2. ICLR 2025$\text{D}_{2}\text{O}$: Dynamic Discriminative Operations for Efficient Long-Context Inference of Large Language Models
3. ICLR 2025A Graph Enhanced Symbolic Discovery Framework For Efficient Logic Optimization
4. ICLR 2025A Little Goes a Long Way: Efficient Long Context Training and Inference with Partial Contexts
5. ICLR 2025A Quantum Circuit-Based Compression Perspective for Parameter-Efficient Learning
6. ICLR 2025ADAPT: Attentive Self-Distillation and Dual-Decoder Prediction Fusion for Continual Panoptic Segmentation
7. ICLR 2025Adaptive Data Optimization: Dynamic Sample Selection with Scaling Laws
8. ICLR 2025ADePT: Adaptive Decomposed Prompt Tuning for Parameter-Efficient Fine-tuning
9. ICLR 2025ANaGRAM: A Natural Gradient Relative to Adapted Model for efficient PINNs learning
10. ICLR 2025Breaking Class Barriers: Efficient Dataset Distillation via Inter-Class Feature Compensator
11. ICLR 2025Breaking Neural Network Scaling Laws with Modularity
12. ICLR 2025Broaden your SCOPE! Efficient Multi-turn Conversation Planning for LLMs with Semantic Space
13. ICLR 2025Budgeted Online Continual Learning by Adaptive Layer Freezing and Frequency-based Sampling
14. ICLR 2025CAKE: Cascading and Adaptive KV Cache Eviction with Layer Preferences
15. ICLR 2025CheapNet: Cross-attention on Hierarchical representations for Efficient protein-ligand binding Affinity Prediction
16. ICLR 2025CipherPrune: Efficient and Scalable Private Transformer Inference
17. ICLR 2025Closed-Form Merging of Parameter-Efficient Modules for Federated Continual Learning
18. ICLR 2025COAT: Compressing Optimizer states and Activations for Memory-Efficient FP8 Training
19. ICLR 2025Compute-Constrained Data Selection
20. ICLR 2025Contractive Dynamical Imitation Policies for Efficient Out-of-Sample Recovery
21. ICLR 2025Coreset Selection via Reducible Loss in Continual Learning
22. ICLR 2025CSA: Data-efficient Mapping of Unimodal Features to Multimodal Features
23. ICLR 2025Cut Your Losses in Large-Vocabulary Language Models
24. ICLR 2025DARE the Extreme: Revisiting Delta-Parameter Pruning For Fine-Tuned Models
25. ICLR 2025Data Scaling Laws in Imitation Learning for Robotic Manipulation
26. ICLR 2025Data Shapley in One Training Run
27. ICLR 2025Dataset Distillation via Knowledge Distillation: Towards Efficient Self-Supervised Pre-training of Deep Networks
28. ICLR 2025DCT-CryptoNets: Scaling Private Inference in the Frequency Domain
29. ICLR 2025DeepGate4: Efficient and Effective Representation Learning for Circuit Design at Scale
30. ICLR 2025DeFT: Decoding with Flash Tree-attention for Efficient Tree-structured LLM Inference
31. ICLR 2025DELIFT: Data Efficient Language model Instruction Fine-Tuning
32. ICLR 2025DistillHGNN: A Knowledge Distillation Approach for High-Speed Hypergraph Neural Networks
33. ICLR 2025DRESSing Up LLM: Efficient Stylized Question-Answering via Style Subspace Editing
34. ICLR 2025DuoAttention: Efficient Long-Context LLM Inference with Retrieval and Streaming Heads
35. ICLR 2025DynFrs: An Efficient Framework for Machine Unlearning in Random Forest
36. ICLR 2025EDiT: A Local-SGD-Based Efficient Distributed Training Method for Large Language Models
37. ICLR 2025Effective and Efficient Time-Varying Counterfactual Prediction with State-Space Models
38. ICLR 2025Effective Interplay between Sparsity and Quantization: From Theory to Practice
39. ICLR 2025Efficient and Accurate Explanation Estimation with Distribution Compression
40. ICLR 2025Efficient and Robust Neural Combinatorial Optimization via Wasserstein-Based Coresets
41. ICLR 2025Efficient and Trustworthy Causal Discovery with Latent Variables and Complex Relations
42. ICLR 2025Efficient Automated Circuit Discovery in Transformers using Contextual Decomposition
43. ICLR 2025Efficient Causal Decision Making with One-sided Feedback
44. ICLR 2025Efficient Diffusion Transformer Policies with Mixture of Expert Denoisers for Multitask Learning
45. ICLR 2025Efficient Distribution Matching of Representations via Noise-Injected Deep InfoMax
46. ICLR 2025Efficient Inference for Large Language Model-based Generative Recommendation
47. ICLR 2025EFFICIENT JAILBREAK ATTACK SEQUENCES ON LARGE LANGUAGE MODELS VIA MULTI-ARMED BANDIT-BASED CONTEXT SWITCHING
48. ICLR 2025Efficient Masked AutoEncoder for Video Object Counting and A Large-Scale Benchmark
49. ICLR 2025Efficient Model Editing with Task-Localized Sparse Fine-tuning
50. ICLR 2025Efficient Neuron Segmentation in Electron Microscopy by Affinity-Guided Queries

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.