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

346 papers, page 3 of 7

101. ICLR 2023Efficient Conditionally Invariant Representation Learning
102. ICLR 2023Efficient Discrete Multi Marginal Optimal Transport Regularization
103. ICLR 2023Efficient Edge Inference by Selective Query
104. ICLR 2023Efficient Federated Domain Translation
105. ICLR 2023Efficient Model Updates for Approximate Unlearning of Graph-Structured Data
106. ICLR 2023Efficient recurrent architectures through activity sparsity and sparse back-propagation through time
107. ICLR 2023Encoding Recurrence into Transformers
108. ICLR 2023Exploring the Limits of Differentially Private Deep Learning with Group-wise Clipping
109. ICLR 2023FastFill: Efficient Compatible Model Update
110. ICLR 2023Heterogeneous Neuronal and Synaptic Dynamics for Spike-Efficient Unsupervised Learning: Theory and Design Principles
111. ICLR 2023How Much Data Are Augmentations Worth? An Investigation into Scaling Laws, Invariance, and Implicit Regularization
112. ICLR 2023IDEAL: Query-Efficient Data-Free Learning from Black-Box Models
113. ICLR 2023Image to Sphere: Learning Equivariant Features for Efficient Pose Prediction
114. ICLR 2023Joint Edge-Model Sparse Learning is Provably Efficient for Graph Neural Networks
115. ICLR 2023KwikBucks: Correlation Clustering with Cheap-Weak and Expensive-Strong Signals
116. ICLR 2023Layer Grafted Pre-training: Bridging Contrastive Learning And Masked Image Modeling For Label-Efficient Representations
117. ICLR 2023Learning Kernelized Contextual Bandits in a Distributed and Asynchronous Environment
118. ICLR 2023Learning MLPs on Graphs: A Unified View of Effectiveness, Robustness, and Efficiency
119. ICLR 2023Learning to Grow Pretrained Models for Efficient Transformer Training
120. ICLR 2023Learning to Linearize Deep Neural Networks for Secure and Efficient Private Inference
121. ICLR 2023Learning with Auxiliary Activation for Memory-Efficient Training
122. ICLR 2023MA-BERT: Towards Matrix Arithmetic-only BERT Inference by Eliminating Complex Non-Linear Functions
123. ICLR 2023Masked Distillation with Receptive Tokens
124. ICLR 2023Massively Scaling Heteroscedastic Classifiers
125. ICLR 2023Maximizing Spatio-Temporal Entropy of Deep 3D CNNs for Efficient Video Recognition
126. ICLR 2023Memorization Capacity of Neural Networks with Conditional Computation
127. ICLR 2023Meta-prediction Model for Distillation-Aware NAS on Unseen Datasets
128. ICLR 2023Moderate Coreset: A Universal Method of Data Selection for Real-world Data-efficient Deep Learning
129. ICLR 2023More ConvNets in the 2020s: Scaling up Kernels Beyond 51x51 using Sparsity
130. ICLR 2023Multitask Prompt Tuning Enables Parameter-Efficient Transfer Learning
131. ICLR 2023Packed Ensembles for efficient uncertainty estimation
132. ICLR 2023Parameter-Efficient Fine-Tuning Design Spaces
133. ICLR 2023PASHA: Efficient HPO and NAS with Progressive Resource Allocation
134. ICLR 2023PiFold: Toward effective and efficient protein inverse folding
135. ICLR 2023Reparameterization through Spatial Gradient Scaling
136. ICLR 2023Scalable and Equivariant Spherical CNNs by Discrete-Continuous (DISCO) Convolutions
137. ICLR 2023SCALE-UP: An Efficient Black-box Input-level Backdoor Detection via Analyzing Scaled Prediction Consistency
138. ICLR 2023Scaling Forward Gradient With Local Losses
139. ICLR 2023Scaling Up Probabilistic Circuits by Latent Variable Distillation
140. ICLR 2023SCoMoE: Efficient Mixtures of Experts with Structured Communication
141. ICLR 2023Self-Guided Noise-Free Data Generation for Efficient Zero-Shot Learning
142. ICLR 2023SmartFRZ: An Efficient Training Framework using Attention-Based Layer Freezing
143. ICLR 2023Sparse MoE as the New Dropout: Scaling Dense and Self-Slimmable Transformers
144. ICLR 2023Sparse Random Networks for Communication-Efficient Federated Learning
145. ICLR 2023Spherical Sliced-Wasserstein
146. ICLR 2023Statistical Efficiency of Score Matching: The View from Isoperimetry
147. ICLR 2023Teacher Guided Training: An Efficient Framework for Knowledge Transfer
148. ICLR 2023The Onset of Variance-Limited Behavior for Networks in the Lazy and Rich Regimes
149. ICLR 2023Trainable Weight Averaging: Efficient Training by Optimizing Historical Solutions
150. ICLR 2023Treeformer: Dense Gradient Trees for Efficient Attention Computation

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.