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

603 papers, page 4 of 13

151. ICLR 2026Efficient Ensemble Conditional Independence Test Framework for Causal Discovery
152. ICLR 2026Efficient Learning on Large Graphs using a Densifying Regularity Lemma
153. ICLR 2026Efficient Message-Passing Transformer for Error Correcting Codes
154. ICLR 2026Efficient Multi-objective Prompt Optimization via Pure-exploration Bandits
155. ICLR 2026Efficient Orthogonal Fine-Tuning with Principal Subspace Adaptation
156. ICLR 2026Efficient Prediction of Large Protein Complexes via Subunit-Guided Hierarchical Refinement
157. ICLR 2026Efficient Quantization of Mixture-of-Experts with Theoretical Generalization Guarantees
158. ICLR 2026Efficient Sliced Wasserstein Distance Computation via Adaptive Bayesian Optimization
159. ICLR 2026Efficient-SAM2: Accelerating SAM2 with Object-Aware Visual Encoding and Memory Retrieval
160. ICLR 2026EffiVMT: Video Motion Transfer via Efficient Spatial-Temporal Decoupled Finetuning
161. ICLR 2026ELViS: Efficient Visual Similarity from Local Descriptors that Generalizes Across Domains
162. ICLR 2026Energy-Efficient Random Variate Generation via Compressed Lookup Tables
163. ICLR 2026Ensemble Prediction of Task Affinity for Efficient Multi-Task Learning
164. ICLR 2026Ensembling Pruned Attention Heads For Uncertainty-Aware Efficient Transformers
165. ICLR 2026Entropy-Based Block Pruning for Efficient Large Language Models
166. ICLR 2026ES-dLLM: Efficient Inference for Diffusion Large Language Models by Early-Skipping
167. ICLR 2026Expressive yet Efficient Feature Expansion with Adaptive Cross-Hadamard Products
168. ICLR 2026Fast-dLLM v2: Efficient Block-Diffusion LLM
169. ICLR 2026Fewer Battles, More Gain: An Information-Efficient Framework for Arena-based LLM Evaluation
170. ICLR 2026Flatter Tokens are More Valuable for Speculative Draft Model Training
171. ICLR 2026Fly-CL: A Fly-Inspired Framework for Enhancing Efficient Decorrelation and Reduced Training Time in Pre-trained Model-based Continual Representation Learning
172. ICLR 2026Forge: Compiling a Unified Abstraction into Scalable Kernels for Linear Attention
173. ICLR 2026FreeKV: Boosting KV Cache Retrieval for Efficient LLM Inference
174. ICLR 2026FSA: An Alternative Efficient Implementation of Native Sparse Attention Kernel
175. ICLR 2026FutureMind: Equipping Small Language Models with Strategic Thinking-Pattern Priors via Adaptive Knowledge Distillation
176. ICLR 2026GAGA: Gaussianity-Aware Gaussian Approximation for Efficient 3D Molecular Generation
177. ICLR 2026GradPruner: Gradient-guided Layer Pruning Enabling Efficient Fine-Tuning and Inference for LLMs
178. ICLR 2026Grounding and Enhancing Informativeness and Utility in Dataset Distillation
179. ICLR 2026Guided Speculative Inference for Efficient Test-Time Alignment of LLMs
180. ICLR 2026HEAPr: Hessian-based Efficient Atomic Expert Pruning in Output Space
181. ICLR 2026Highly Efficient and Effective LLMs with Multi-Boolean Architectures
182. ICLR 2026Householder-Diagonalized Linear Attention (HDLA): Utilizing Enhanced Decay Mechanism for Efficient Sequence Modeling
183. ICLR 2026How Reliable is Language Model Micro-Benchmarking?
184. ICLR 2026How Text Quality Interventions Reshape Neural Scaling Laws for LLMs: Empirical Study
185. ICLR 2026How to train data-efficient LLMs
186. ICLR 2026Image is All You Need: Towards Efficient and Effective Large Language Model-Based Recommender Systems
187. ICLR 2026Inconsistency Biases in Dynamic Data Pruning
188. ICLR 2026KBVQ-MoE: KLT-guided SVD with Bias-Corrected Vector Quantization for MoE Large Language Models
189. ICLR 2026Knowledge Distillation for Large Language Models through Residual Learning
190. ICLR 2026Late-to-Early Training: LET LLMs Learn Earlier, So Faster and Better
191. ICLR 2026Libra: Effective yet Efficient Load Balancing for Large-scale MoE Inference
192. ICLR 2026LinearSR: Unlocking Linear Attention for Stable and Efficient Image Super-Resolution
193. ICLR 2026LipNeXt: Scaling up Lipschitz-based Certified Robustness to Billion-parameter Models
194. ICLR 2026LiteGuard: Efficient Task-Agnostic Model Fingerprinting with Enhanced Generalization
195. ICLR 2026Lookup multivariate Kolmogorov-Arnold Networks
196. ICLR 2026ManipEvalAgent: Promptable and Efficient Evaluation Framework for Robotic Manipulation Policies
197. ICLR 2026MatRIS: Toward Reliable and Efficient Pretrained Machine Learning Interaction Potentials
198. ICLR 2026MicroMix: Efficient Mixed-Precision Quantization with Microscaling Formats for Large Language Models
199. ICLR 2026MiSS: Revisiting the Trade-off in LoRA with an Efficient Shard-Sharing Structure
200. ICLR 2026MobiEdit: Resource-efficient Knowledge Editing for Personalized On-device LLMs

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.