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

492 papers, page 8 of 10

351. ICML 2024InstructZero: Efficient Instruction Optimization for Black-Box Large Language Models
352. ICML 2024Jetfire: Efficient and Accurate Transformer Pretraining with INT8 Data Flow and Per-Block Quantization
353. ICML 2024Knowledge Distillation with Auxiliary Variable
354. ICML 2024Learning from Students: Applying t-Distributions to Explore Accurate and Efficient Formats for LLMs
355. ICML 2024Learning-Efficient Yet Generalizable Collaborative Filtering for Item Recommendation
356. ICML 2024Leveraging Self-Consistency for Data-Efficient Amortized Bayesian Inference
357. ICML 2024Measuring Stochastic Data Complexity with Boltzmann Influence Functions
358. ICML 2024Memory Efficient Neural Processes via Constant Memory Attention Block
359. ICML 2024MLIP: Efficient Multi-Perspective Language-Image Pretraining with Exhaustive Data Utilization
360. ICML 2024Multi-Region Markovian Gaussian Process: An Efficient Method to Discover Directional Communications Across Multiple Brain Regions
361. ICML 2024Navigating Scaling Laws: Compute Optimality in Adaptive Model Training
362. ICML 2024Nonparametric Teaching of Implicit Neural Representations
363. ICML 2024On Computational Limits of Modern Hopfield Models: A Fine-Grained Complexity Analysis
364. ICML 2024Online Cascade Learning for Efficient Inference over Streams
365. ICML 2024Orthogonal Bootstrap: Efficient Simulation of Input Uncertainty
366. ICML 2024Outlier-Efficient Hopfield Layers for Large Transformer-Based Models
367. ICML 2024Outlier-robust Kalman Filtering through Generalised Bayes
368. ICML 2024Parameter Efficient Quasi-Orthogonal Fine-Tuning via Givens Rotation
369. ICML 2024Parameter-Efficient Fine-Tuning with Controls
370. ICML 2024Parameter-Efficient Fine-Tuning with Discrete Fourier Transform
371. ICML 2024Private and Federated Stochastic Convex Optimization: Efficient Strategies for Centralized Systems
372. ICML 2024Private Heterogeneous Federated Learning Without a Trusted Server Revisited: Error-Optimal and Communication-Efficient Algorithms for Convex Losses
373. ICML 2024Quality-Diversity with Limited Resources
374. ICML 2024QUEST: Query-Aware Sparsity for Efficient Long-Context LLM Inference
375. ICML 2024Random Masking Finds Winning Tickets for Parameter Efficient Fine-tuning
376. ICML 2024Ranking-based Client Imitation Selection for Efficient Federated Learning
377. ICML 2024Replicable Learning of Large-Margin Halfspaces
378. ICML 2024REST: Efficient and Accelerated EEG Seizure Analysis through Residual State Updates
379. ICML 2024Revisiting Zeroth-Order Optimization for Memory-Efficient LLM Fine-Tuning: A Benchmark
380. ICML 2024Robust Yet Efficient Conformal Prediction Sets
381. ICML 2024Saliency strikes back: How filtering out high frequencies improves white-box explanations
382. ICML 2024Scalable AI Safety via Doubly-Efficient Debate
383. ICML 2024Scalable and Flexible Causal Discovery with an Efficient Test for Adjacency
384. ICML 2024Scaling Beyond the GPU Memory Limit for Large Mixture-of-Experts Model Training
385. ICML 2024Scaling Down Deep Learning with MNIST-1D
386. ICML 2024Scaling Laws for Fine-Grained Mixture of Experts
387. ICML 2024Scaling Laws for the Value of Individual Data Points in Machine Learning
388. ICML 2024See More Details: Efficient Image Super-Resolution by Experts Mining
389. ICML 2024Selecting Large Language Model to Fine-tune via Rectified Scaling Law
390. ICML 2024SelMatch: Effectively Scaling Up Dataset Distillation via Selection-Based Initialization and Partial Updates by Trajectory Matching
391. ICML 2024Short-Long Convolutions Help Hardware-Efficient Linear Attention to Focus on Long Sequences
392. ICML 2024Simple linear attention language models balance the recall-throughput tradeoff
393. ICML 2024SLAB: Efficient Transformers with Simplified Linear Attention and Progressive Re-parameterized Batch Normalization
394. ICML 2024SparQ Attention: Bandwidth-Efficient LLM Inference
395. ICML 2024Split-Ensemble: Efficient OOD-aware Ensemble via Task and Model Splitting
396. ICML 2024SPP: Sparsity-Preserved Parameter-Efficient Fine-Tuning for Large Language Models
397. ICML 2024Structured Inverse-Free Natural Gradient Descent: Memory-Efficient & Numerically-Stable KFAC
398. ICML 2024Tandem Transformers for Inference Efficient LLMs
399. ICML 2024Towards efficient deep spiking neural networks construction with spiking activity based pruning
400. ICML 2024Towards Efficient Spiking Transformer: a Token Sparsification Framework for Training and Inference Acceleration

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.