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

1,765 papers, page 17 of 36

801. ICLR 2025The Journey Matters: Average Parameter Count over Pre-training Unifies Sparse and Dense Scaling Laws
802. ICLR 2025ThunderKittens: Simple, Fast, and $\textit{Adorable}$ Kernels
803. ICLR 2025TIGER: Time-frequency Interleaved Gain Extraction and Reconstruction for Efficient Speech Separation
804. ICLR 2025TokenFormer: Rethinking Transformer Scaling with Tokenized Model Parameters
805. ICLR 2025Towards Scalable Exact Machine Unlearning Using Parameter-Efficient Fine-Tuning
806. ICLR 2025Train Small, Infer Large: Memory-Efficient LoRA Training for Large Language Models
807. ICLR 2025u-$\mu$P: The Unit-Scaled Maximal Update Parametrization
808. ICLR 2025U-shaped and Inverted-U Scaling behind Emergent Abilities of Large Language Models
809. ICLR 2025Unified Parameter-Efficient Unlearning for LLMs
810. ICLR 2025Unlocking Efficient, Scalable, and Continual Knowledge Editing with Basis-Level Representation Fine-Tuning
811. ICLR 2025ZETA: Leveraging $Z$-order Curves for Efficient Top-$k$ Attention
812. ICML 2025A Hitchhiker's Guide to Scaling Law Estimation
813. ICML 2025A Memory Efficient Randomized Subspace Optimization Method for Training Large Language Models
814. ICML 2025A Sample Efficient Conditional Independence Test in the Presence of Discretization
815. ICML 2025A Simple Model of Inference Scaling Laws
816. ICML 2025Adapting Precomputed Features for Efficient Graph Condensation
817. ICML 2025An Adaptive Orthogonal Convolution Scheme for Efficient and Flexible CNN Architectures
818. ICML 2025An Efficient Matrix Multiplication Algorithm for Accelerating Inference in Binary and Ternary Neural Networks
819. ICML 2025An Efficient Pruner for Large Language Model with Theoretical Guarantee
820. ICML 2025An Efficient Search-and-Score Algorithm for Ancestral Graphs using Multivariate Information Scores for Complex Non-linear and Categorical Data
821. ICML 2025An Expressive and Self-Adaptive Dynamical System for Efficient Function Learning
822. ICML 2025Beyond Low-rank Decomposition: A Shortcut Approach for Efficient On-Device Learning
823. ICML 2025Beyond Self-Repellent Kernels: History-Driven Target Towards Efficient Nonlinear MCMC on General Graphs
824. ICML 2025BlockDialect: Block-wise Fine-grained Mixed Format Quantization for Energy-Efficient LLM Inference
825. ICML 2025BSLoRA: Enhancing the Parameter Efficiency of LoRA with Intra-Layer and Inter-Layer Sharing
826. ICML 2025COKE: Core Kernel for More Efficient Approximation of Kernel Weights in Multiple Kernel Clustering
827. ICML 2025Complete-Tree Space Favors Data-Efficient Link Prediction
828. ICML 2025Compositional Generalization via Forced Rendering of Disentangled Latents
829. ICML 2025Connecting Thompson Sampling and UCB: Towards More Efficient Trade-offs Between Privacy and Regret
830. ICML 2025Cost-efficient Collaboration between On-device and Cloud Language Models
831. ICML 2025DA-KD: Difficulty-Aware Knowledge Distillation for Efficient Large Language Models
832. ICML 2025Determinant Estimation under Memory Constraints and Neural Scaling Laws
833. ICML 2025Distillation Scaling Laws
834. ICML 2025Does Data Scaling Lead to Visual Compositional Generalization?
835. ICML 2025EAGLES: Towards Effective, Efficient, and Economical Federated Graph Learning via Unified Sparsification
836. ICML 2025Earley-Driven Dynamic Pruning for Efficient Structured Decoding
837. ICML 2025Efficient and Separate Authentication Image Steganography Network
838. ICML 2025Efficient ANN-SNN Conversion with Error Compensation Learning
839. ICML 2025Efficient Bisection Projection to Ensure Neural-Network Solution Feasibility for Optimization over General Set
840. ICML 2025Efficient Core-set Selection for Deep Learning Through Squared Loss Minimization
841. ICML 2025Efficient Federated Incomplete Multi-View Clustering
842. ICML 2025Efficient Graph Continual Learning via Lightweight Graph Neural Tangent Kernels-based Dataset Distillation
843. ICML 2025Efficient Heterogeneity-Aware Federated Active Data Selection
844. ICML 2025Efficient Logit-based Knowledge Distillation of Deep Spiking Neural Networks for Full-Range Timestep Deployment
845. ICML 2025Efficient Long Context Fine-tuning with Chunk Flow
846. ICML 2025Efficient Network Automatic Relevance Determination
847. ICML 2025Efficient Optimization with Orthogonality Constraint: a Randomized Riemannian Submanifold Method
848. ICML 2025Efficient Parallel Training Methods for Spiking Neural Networks with Constant Time Complexity
849. ICML 2025Efficient Quantification of Multimodal Interaction at Sample Level
850. ICML 2025Efficient Robust Conformal Prediction via Lipschitz-Bounded Networks

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.