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

499 papers, page 4 of 10

151. NeurIPS 2026Speed Predictions for Online Energy-Efficient Scheduling
152. NeurIPS 2026Spike-SFT: Selective Parameter Enhancement and Fusion for Efficient Spiking Neural Networks
153. NeurIPS 2026Step-dLLM: Adaptive Step-aware Sparse Attention for Efficient Diffusion LLM Inference
154. NeurIPS 2026Stroke-Audited Quadratic Bezier Splatting with Structural Initialization for Efficient Painting Rendering
155. NeurIPS 2026Structured Unitary Tensor Network Representations for Circuit-Efficient Quantum Data Encoding
156. NeurIPS 2026Subdata Selection: A Unified Framework for Optimal Selection and Statistical Efficiency Assessment
157. NeurIPS 2026SWE-Crafter: Scaling Executable Multilingual Software Engineering Data with Meta-Skill Agents
158. NeurIPS 2026Systematic Scaling Analysis of Jailbreak Attacks in Large Language Models
159. NeurIPS 2026Talk Less, Work More: Communication-Efficient Decentralized Stochastic Approximation
160. NeurIPS 2026Target-Budget Best-Function Identification for Scaling-Law-Guided Model Selection
161. NeurIPS 2026TeMPO: Frame-Causal Token Compression for Efficient Video Large Language Model
162. NeurIPS 2026Temporal Smoothness Constraints on Efficient Neurobiological Codes Imply Temporal Specialization
163. NeurIPS 2026The Dormant Spiking Neuron: A State-Driven Mechanism for Efficient Spiking Neural Networks
164. NeurIPS 2026The Kernel Reality Check: Benchmarking and Distilling Efficient Attention at Scale
165. NeurIPS 2026The SEC Filings Dataset: Reconstructing U.S. Corporate and Financial Disclosures into Layout-Faithful and Token-Efficient Pretraining Data
166. NeurIPS 2026Token Filtering: Online Attention Pruning via KV Similarity for Efficient LLM Inference
167. NeurIPS 2026TokenRouter: Efficient Serving System for Token-Level LLM Routing
168. NeurIPS 2026ToLD: Efficient Time Series Forecasting via Tokenized Truncated Latent Diffusion
169. NeurIPS 2026Towards Principled Efficient Rollout Allocation in Test-Time Training
170. NeurIPS 2026TTB: Test-time MLP Baking for Efficient Rendering of Decoder-only View Synthesis Models
171. NeurIPS 2026Tyche: One Step Flow for Efficient Probabilistic Weather Forecasting
172. NeurIPS 2026UTOPI: Efficient Egocentric Long-Video Understanding in AR via User-Guided Token Pre-Compression
173. NeurIPS 2026Vendi Anomaly Scores for Efficient and Accurate Anomaly Detection
174. NeurIPS 2026Vortex: Efficient and Programmable Sparse Attention Serving
175. NeurIPS 2026What to Predict for Efficient Scheduling on Parallel Machines
176. NeurIPS 2026Where You Backpropagate Matters: Token Hypothesis for Memory-Efficient Fine-Tuning
177. NeurIPS 2026Winfree Oscillatory Neural Network
178. NeurIPS 2025$\texttt{BetaConform}$: Efficient MAP Estimation of LLM Ensemble Judgment Performance with Prior Transfer
179. NeurIPS 20254DGCPro: Efficient Hierarchical 4D Gaussian Compression for Progressive Volumetric Video Streaming
180. NeurIPS 2025A Stable Whitening Optimizer for Efficient Neural Network Training
181. NeurIPS 2025A Token is Worth over 1,000 Tokens: Efficient Knowledge Distillation through Low-Rank Clone
182. NeurIPS 2025A Unified Framework for Provably Efficient Algorithms to Estimate Shapley Values
183. NeurIPS 2025Accurate and Efficient Low-Rank Model Merging in Core Space
184. NeurIPS 2025Accurate KV Cache Eviction via Anchor Direction Projection for Efficient LLM Inference
185. NeurIPS 2025Active Measurement: Efficient Estimation at Scale
186. NeurIPS 2025Active Seriation: Efficient Ordering Recovery with Statistical Guarantees
187. NeurIPS 2025Ada-KV: Optimizing KV Cache Eviction by Adaptive Budget Allocation for Efficient LLM Inference
188. NeurIPS 2025AdaSPEC: Selective Knowledge Distillation for Efficient Speculative Decoders
189. NeurIPS 2025All You Need is One: Capsule Prompt Tuning with a Single Vector
190. NeurIPS 2025AmorLIP: Efficient Language-Image Pretraining via Amortization
191. NeurIPS 2025An Efficient Local Search Approach for Polarized Community Discovery in Signed Networks
192. NeurIPS 2025Angles Don’t Lie: Unlocking Training‑Efficient RL Through the Model’s Own Signals
193. NeurIPS 2025Are Language Models Efficient Reasoners? A Perspective from Logic Programming
194. NeurIPS 2025Audits Under Resource, Data, and Access Constraints: Scaling Laws For Less Discriminatory Alternatives
195. NeurIPS 2025Bilevel ZOFO: Efficient LLM Fine-Tuning and Meta-Training
196. NeurIPS 2025Breaking the Compression Ceiling: Data-Free Pipeline for Ultra-Efficient Delta Compression
197. NeurIPS 2025CAT: Circular-Convolutional Attention for Sub-Quadratic Transformers
198. NeurIPS 2025Causal Spatio-Temporal Prediction: An Effective and Efficient Multi-Modal Approach
199. NeurIPS 2025ChunkKV: Semantic-Preserving KV Cache Compression for Efficient Long-Context LLM Inference
200. NeurIPS 2025COALA: Numerically Stable and Efficient Framework for Context-Aware Low-Rank Approximation

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.