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

300 papers, page 5 of 6

201. ICML 2024Efficient Value Iteration for s-rectangular Robust Markov Decision Processes
202. ICML 2024Embodied CoT Distillation From LLM To Off-the-shelf Agents
203. ICML 2024EMC$^2$: Efficient MCMC Negative Sampling for Contrastive Learning with Global Convergence
204. ICML 2024Energy-Efficient Gaussian Processes Using Low-Precision Arithmetic
205. ICML 2024Error Feedback Can Accurately Compress Preconditioners
206. ICML 2024ETHER: Efficient Finetuning of Large-Scale Models with Hyperplane Reflections
207. ICML 2024EVEREST: Efficient Masked Video Autoencoder by Removing Redundant Spatiotemporal Tokens
208. ICML 2024Evolution of Heuristics: Towards Efficient Automatic Algorithm Design Using Large Language Model
209. ICML 2024Fast and Sample Efficient Multi-Task Representation Learning in Stochastic Contextual Bandits
210. ICML 2024Fast Decision Boundary based Out-of-Distribution Detector
211. ICML 2024Fault Tolerant ML: Efficient Meta-Aggregation and Synchronous Training
212. ICML 2024FedBAT: Communication-Efficient Federated Learning via Learnable Binarization
213. ICML 2024FedBPT: Efficient Federated Black-box Prompt Tuning for Large Language Models
214. ICML 2024Flextron: Many-in-One Flexible Large Language Model
215. ICML 2024Gated Linear Attention Transformers with Hardware-Efficient Training
216. ICML 2024GeminiFusion: Efficient Pixel-wise Multimodal Fusion for Vision Transformer
217. ICML 2024Get More with LESS: Synthesizing Recurrence with KV Cache Compression for Efficient LLM Inference
218. ICML 2024Gradient Compressed Sensing: A Query-Efficient Gradient Estimator for High-Dimensional Zeroth-Order Optimization
219. ICML 2024Graph Distillation with Eigenbasis Matching
220. ICML 2024GroupCover: A Secure, Efficient and Scalable Inference Framework for On-device Model Protection based on TEEs
221. ICML 2024InferCept: Efficient Intercept Support for Augmented Large Language Model Inference
222. ICML 2024InstructZero: Efficient Instruction Optimization for Black-Box Large Language Models
223. ICML 2024Jetfire: Efficient and Accurate Transformer Pretraining with INT8 Data Flow and Per-Block Quantization
224. ICML 2024Knowledge Distillation with Auxiliary Variable
225. ICML 2024Learning from Students: Applying t-Distributions to Explore Accurate and Efficient Formats for LLMs
226. ICML 2024Learning-Efficient Yet Generalizable Collaborative Filtering for Item Recommendation
227. ICML 2024Leveraging Self-Consistency for Data-Efficient Amortized Bayesian Inference
228. ICML 2024Measuring Stochastic Data Complexity with Boltzmann Influence Functions
229. ICML 2024Memory Efficient Neural Processes via Constant Memory Attention Block
230. ICML 2024MLIP: Efficient Multi-Perspective Language-Image Pretraining with Exhaustive Data Utilization
231. ICML 2024Multi-Region Markovian Gaussian Process: An Efficient Method to Discover Directional Communications Across Multiple Brain Regions
232. ICML 2024Navigating Scaling Laws: Compute Optimality in Adaptive Model Training
233. ICML 2024Nonparametric Teaching of Implicit Neural Representations
234. ICML 2024On Computational Limits of Modern Hopfield Models: A Fine-Grained Complexity Analysis
235. ICML 2024Online Cascade Learning for Efficient Inference over Streams
236. ICML 2024Orthogonal Bootstrap: Efficient Simulation of Input Uncertainty
237. ICML 2024Outlier-Efficient Hopfield Layers for Large Transformer-Based Models
238. ICML 2024Outlier-robust Kalman Filtering through Generalised Bayes
239. ICML 2024Parameter Efficient Quasi-Orthogonal Fine-Tuning via Givens Rotation
240. ICML 2024Parameter-Efficient Fine-Tuning with Controls
241. ICML 2024Parameter-Efficient Fine-Tuning with Discrete Fourier Transform
242. ICML 2024Private and Federated Stochastic Convex Optimization: Efficient Strategies for Centralized Systems
243. ICML 2024Private Heterogeneous Federated Learning Without a Trusted Server Revisited: Error-Optimal and Communication-Efficient Algorithms for Convex Losses
244. ICML 2024Quality-Diversity with Limited Resources
245. ICML 2024QUEST: Query-Aware Sparsity for Efficient Long-Context LLM Inference
246. ICML 2024Random Masking Finds Winning Tickets for Parameter Efficient Fine-tuning
247. ICML 2024Ranking-based Client Imitation Selection for Efficient Federated Learning
248. ICML 2024Replicable Learning of Large-Margin Halfspaces
249. ICML 2024REST: Efficient and Accelerated EEG Seizure Analysis through Residual State Updates
250. ICML 2024Revisiting Zeroth-Order Optimization for Memory-Efficient LLM Fine-Tuning: A Benchmark

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.