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 18 of 36

851. ICML 2025Efficient Time Series Processing for Transformers and State-Space Models through Token Merging
852. ICML 2025Equivariant Polynomial Functional Networks
853. ICML 2025Fast Inference with Kronecker-Sparse Matrices
854. ICML 2025FastCAV: Efficient Computation of Concept Activation Vectors for Explaining Deep Neural Networks
855. ICML 2025FedOne: Query-Efficient Federated Learning for Black-box Discrete Prompt Learning
856. ICML 2025FedSMU: Communication-Efficient and Generalization-Enhanced Federated Learning through Symbolic Model Updates
857. ICML 2025FisherSFT: Data-Efficient Supervised Fine-Tuning of Language Models Using Information Gain
858. ICML 2025Flexible and Efficient Grammar-Constrained Decoding
859. ICML 2025Flexible, Efficient, and Stable Adversarial Attacks on Machine Unlearning
860. ICML 2025FloE: On-the-Fly MoE Inference on Memory-constrained GPU
861. ICML 2025FRUGAL: Memory-Efficient Optimization by Reducing State Overhead for Scalable Training
862. ICML 2025FSL-SAGE: Accelerating Federated Split Learning via Smashed Activation Gradient Estimation
863. ICML 2025GPTAQ: Efficient Finetuning-Free Quantization for Asymmetric Calibration
864. ICML 2025H-Tuning: Toward Low-Cost and Efficient ECG-based Cardiovascular Disease Detection with Pre-Trained Models
865. ICML 2025HiRemate: Hierarchical Approach for Efficient Re-materialization of Neural Networks
866. ICML 2025How to Train Your Multi-Exit Model? Analyzing the Impact of Training Strategies
867. ICML 2025IL-SOAR : Imitation Learning with Soft Optimistic Actor cRitic
868. ICML 2025Improved and Oracle-Efficient Online $\ell_1$-Multicalibration
869. ICML 2025Improving Continual Learning Performance and Efficiency with Auxiliary Classifiers
870. ICML 2025Info-Coevolution: An Efficient Framework for Data Model Coevolution
871. ICML 2025Joint MoE Scaling Laws: Mixture of Experts Can Be Memory Efficient
872. ICML 2025KVTuner: Sensitivity-Aware Layer-Wise Mixed-Precision KV Cache Quantization for Efficient and Nearly Lossless LLM Inference
873. ICML 2025LaCache: Ladder-Shaped KV Caching for Efficient Long-Context Modeling of Large Language Models
874. ICML 2025Learning from Loss Landscape: Generalizable Mixed-Precision Quantization via Adaptive Sharpness-Aware Gradient Aligning
875. ICML 2025Learning Soft Sparse Shapes for Efficient Time-Series Classification
876. ICML 2025LensLLM: Unveiling Fine-Tuning Dynamics for LLM Selection
877. ICML 2025Leveraging Sparsity for Sample-Efficient Preference Learning: A Theoretical Perspective
878. ICML 2025Memory Layers at Scale
879. ICML 2025MERGE$^3$: Efficient Evolutionary Merging on Consumer-grade GPUs
880. ICML 2025Mixture of Hidden-Dimensions: Not All Hidden-States’ Dimensions are Needed in Transformer
881. ICML 2025Model Steering: Learning with a Reference Model Improves Generalization Bounds and Scaling Laws
882. ICML 2025Nonparametric Modern Hopfield Models
883. ICML 2025Occult: Optimizing Collaborative Communications across Experts for Accelerated Parallel MoE Training and Inference
884. ICML 2025Olica: Efficient Structured Pruning of Large Language Models without Retraining
885. ICML 2025On Efficient Estimation of Distributional Treatment Effects under Covariate-Adaptive Randomization
886. ICML 2025On the Duality between Gradient Transformations and Adapters
887. ICML 2025On-the-Fly Adaptive Distillation of Transformer to Dual-State Linear Attention for Long-Context LLM Serving
888. ICML 2025One Leaf Reveals the Season: Occlusion-Based Contrastive Learning with Semantic-Aware Views for Efficient Visual Representation
889. ICML 2025OrthoRank: Token Selection via Sink Token Orthogonality for Efficient LLM inference
890. ICML 2025Over-Tokenized Transformer: Vocabulary is Generally Worth Scaling
891. ICML 2025Parameter-Efficient Fine-Tuning of State Space Models
892. ICML 2025Position: Enough of Scaling LLMs! Lets Focus on Downscaling
893. ICML 2025Predictive Data Selection: The Data That Predicts Is the Data That Teaches
894. ICML 2025Primphormer: Efficient Graph Transformers with Primal Representations
895. ICML 2025ProofAug: Efficient Neural Theorem Proving via Fine-grained Proof Structure Analysis
896. ICML 2025QoS-Efficient Serving of Multiple Mixture-of-Expert LLMs Using Partial Runtime Reconfiguration
897. ICML 2025Reliable and Efficient Amortized Model-based Evaluation
898. ICML 2025Residual Matrix Transformers: Scaling the Size of the Residual Stream
899. ICML 2025Reward-Guided Speculative Decoding for Efficient LLM Reasoning
900. ICML 2025Robust Consensus Anchor Learning for Efficient Multi-view Subspace Clustering

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.