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

419 papers, page 6 of 9

251. ICLR 2025Samba: Simple Hybrid State Space Models for Efficient Unlimited Context Language Modeling
252. ICLR 2025Scaling Laws for Adversarial Attacks on Language Model Activations and Tokens
253. ICLR 2025Scaling Laws for Precision
254. ICLR 2025Scaling Optimal LR Across Token Horizons
255. ICLR 2025Scaling Stick-Breaking Attention: An Efficient Implementation and In-depth Study
256. ICLR 2025SelectFormer in Data Markets: Privacy-Preserving and Efficient Data Selection for Transformers with Multi-Party Computation
257. ICLR 2025Self-MoE: Towards Compositional Large Language Models with Self-Specialized Experts
258. ICLR 2025Skill Expansion and Composition in Parameter Space
259. ICLR 2025SONICS: Synthetic Or Not - Identifying Counterfeit Songs
260. ICLR 2025SpikeLLM: Scaling up Spiking Neural Network to Large Language Models via Saliency-based Spiking
261. ICLR 2025Spread Preference Annotation: Direct Preference Judgment for Efficient LLM Alignment
262. ICLR 2025Structural-Entropy-Based Sample Selection for Efficient and Effective Learning
263. ICLR 2025Surprising Effectiveness of pretraining Ternary Language Model at Scale
264. ICLR 2025The Journey Matters: Average Parameter Count over Pre-training Unifies Sparse and Dense Scaling Laws
265. ICLR 2025ThunderKittens: Simple, Fast, and $\textit{Adorable}$ Kernels
266. ICLR 2025TIGER: Time-frequency Interleaved Gain Extraction and Reconstruction for Efficient Speech Separation
267. ICLR 2025TokenFormer: Rethinking Transformer Scaling with Tokenized Model Parameters
268. ICLR 2025Towards Scalable Exact Machine Unlearning Using Parameter-Efficient Fine-Tuning
269. ICLR 2025Train Small, Infer Large: Memory-Efficient LoRA Training for Large Language Models
270. ICLR 2025u-$\mu$P: The Unit-Scaled Maximal Update Parametrization
271. ICLR 2025U-shaped and Inverted-U Scaling behind Emergent Abilities of Large Language Models
272. ICLR 2025Unified Parameter-Efficient Unlearning for LLMs
273. ICLR 2025Unlocking Efficient, Scalable, and Continual Knowledge Editing with Basis-Level Representation Fine-Tuning
274. ICLR 2025ZETA: Leveraging $Z$-order Curves for Efficient Top-$k$ Attention
275. ICLR 2024Adaptive Window Pruning for Efficient Local Motion Deblurring
276. ICLR 2024ALAM: Averaged Low-Precision Activation for Memory-Efficient Training of Transformer Models
277. ICLR 2024ASMR: Activation-Sharing Multi-Resolution Coordinate Networks for Efficient Inference
278. ICLR 2024AutoChunk: Automated Activation Chunk for Memory-Efficient Deep Learning Inference
279. ICLR 2024AutoVP: An Automated Visual Prompting Framework and Benchmark
280. ICLR 2024BESA: Pruning Large Language Models with Blockwise Parameter-Efficient Sparsity Allocation
281. ICLR 2024CoT3DRef: Chain-of-Thoughts Data-Efficient 3D Visual Grounding
282. ICLR 2024Decongestion by Representation: Learning to Improve Economic Welfare in Marketplaces
283. ICLR 2024Dictionary Contrastive Learning for Efficient Local Supervision without Auxiliary Networks
284. ICLR 2024Differentiable Learning of Generalized Structured Matrices for Efficient Deep Neural Networks
285. ICLR 2024DreamGaussian: Generative Gaussian Splatting for Efficient 3D Content Creation
286. ICLR 2024Dropout-Based Rashomon Set Exploration for Efficient Predictive Multiplicity Estimation
287. ICLR 2024Dynamic Sparse Training with Structured Sparsity
288. ICLR 2024Effective and Efficient Federated Tree Learning on Hybrid Data
289. ICLR 2024Efficient Backpropagation with Variance Controlled Adaptive Sampling
290. ICLR 2024Efficient ConvBN Blocks for Transfer Learning and Beyond
291. ICLR 2024Efficient Heterogeneous Meta-Learning via Channel Shuffling Modulation
292. ICLR 2024Efficient local linearity regularization to overcome catastrophic overfitting
293. ICLR 2024Efficient Modulation for Vision Networks
294. ICLR 2024Efficient Score Matching with Deep Equilibrium Layers
295. ICLR 2024Efficient Sharpness-Aware Minimization for Molecular Graph Transformer Models
296. ICLR 2024Efficient Streaming Language Models with Attention Sinks
297. ICLR 2024Efficient Subgraph GNNs by Learning Effective Selection Policies
298. ICLR 2024Enabling Efficient Equivariant Operations in the Fourier Basis via Gaunt Tensor Products
299. ICLR 2024Fair and Efficient Contribution Valuation for Vertical Federated Learning
300. ICLR 2024Faithful and Efficient Explanations for Neural Networks via Neural Tangent Kernel Surrogate Models

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.