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 15 of 36

701. ICLR 2025CipherPrune: Efficient and Scalable Private Transformer Inference
702. ICLR 2025Closed-Form Merging of Parameter-Efficient Modules for Federated Continual Learning
703. ICLR 2025COAT: Compressing Optimizer states and Activations for Memory-Efficient FP8 Training
704. ICLR 2025Compute-Constrained Data Selection
705. ICLR 2025Contractive Dynamical Imitation Policies for Efficient Out-of-Sample Recovery
706. ICLR 2025Coreset Selection via Reducible Loss in Continual Learning
707. ICLR 2025CSA: Data-efficient Mapping of Unimodal Features to Multimodal Features
708. ICLR 2025Cut Your Losses in Large-Vocabulary Language Models
709. ICLR 2025DARE the Extreme: Revisiting Delta-Parameter Pruning For Fine-Tuned Models
710. ICLR 2025Data Scaling Laws in Imitation Learning for Robotic Manipulation
711. ICLR 2025Data Shapley in One Training Run
712. ICLR 2025Dataset Distillation via Knowledge Distillation: Towards Efficient Self-Supervised Pre-training of Deep Networks
713. ICLR 2025DCT-CryptoNets: Scaling Private Inference in the Frequency Domain
714. ICLR 2025DeepGate4: Efficient and Effective Representation Learning for Circuit Design at Scale
715. ICLR 2025DeFT: Decoding with Flash Tree-attention for Efficient Tree-structured LLM Inference
716. ICLR 2025DELIFT: Data Efficient Language model Instruction Fine-Tuning
717. ICLR 2025DistillHGNN: A Knowledge Distillation Approach for High-Speed Hypergraph Neural Networks
718. ICLR 2025DRESSing Up LLM: Efficient Stylized Question-Answering via Style Subspace Editing
719. ICLR 2025DuoAttention: Efficient Long-Context LLM Inference with Retrieval and Streaming Heads
720. ICLR 2025DynFrs: An Efficient Framework for Machine Unlearning in Random Forest
721. ICLR 2025EDiT: A Local-SGD-Based Efficient Distributed Training Method for Large Language Models
722. ICLR 2025Effective and Efficient Time-Varying Counterfactual Prediction with State-Space Models
723. ICLR 2025Effective Interplay between Sparsity and Quantization: From Theory to Practice
724. ICLR 2025Efficient and Accurate Explanation Estimation with Distribution Compression
725. ICLR 2025Efficient and Robust Neural Combinatorial Optimization via Wasserstein-Based Coresets
726. ICLR 2025Efficient and Trustworthy Causal Discovery with Latent Variables and Complex Relations
727. ICLR 2025Efficient Automated Circuit Discovery in Transformers using Contextual Decomposition
728. ICLR 2025Efficient Causal Decision Making with One-sided Feedback
729. ICLR 2025Efficient Diffusion Transformer Policies with Mixture of Expert Denoisers for Multitask Learning
730. ICLR 2025Efficient Distribution Matching of Representations via Noise-Injected Deep InfoMax
731. ICLR 2025Efficient Inference for Large Language Model-based Generative Recommendation
732. ICLR 2025EFFICIENT JAILBREAK ATTACK SEQUENCES ON LARGE LANGUAGE MODELS VIA MULTI-ARMED BANDIT-BASED CONTEXT SWITCHING
733. ICLR 2025Efficient Masked AutoEncoder for Video Object Counting and A Large-Scale Benchmark
734. ICLR 2025Efficient Model Editing with Task-Localized Sparse Fine-tuning
735. ICLR 2025Efficient Neuron Segmentation in Electron Microscopy by Affinity-Guided Queries
736. ICLR 2025Efficient Top-m Data Values Identification for Data Selection
737. ICLR 2025Efficient Training of Neural Stochastic Differential Equations by Matching Finite Dimensional Distributions
738. ICLR 2025Emergent Orientation Maps —— Mechanisms, Coding Efficiency and Robustness
739. ICLR 2025EMMA: Empowering Multi-modal Mamba with Structural and Hierarchical Alignment
740. ICLR 2025Equivariant Masked Position Prediction for Efficient Molecular Representation
741. ICLR 2025Explaining Modern Gated-Linear RNNs via a Unified Implicit Attention Formulation
742. ICLR 2025Exploiting Distribution Constraints for Scalable and Efficient Image Retrieval
743. ICLR 2025Exploring Learning Complexity for Efficient Downstream Dataset Pruning
744. ICLR 2025FedTMOS: Efficient One-Shot Federated Learning with Tsetlin Machine
745. ICLR 2025Few-Class Arena: A Benchmark for Efficient Selection of Vision Models and Dataset Difficulty Measurement
746. ICLR 2025FlashMask: Efficient and Rich Mask Extension of FlashAttention
747. ICLR 2025FlexPrefill: A Context-Aware Sparse Attention Mechanism for Efficient Long-Sequence Inference
748. ICLR 2025Fundamental Limits of Prompt Tuning Transformers: Universality, Capacity and Efficiency
749. ICLR 2025Gaussian Ensemble Belief Propagation for Efficient Inference in High-Dimensional, Black-box Systems
750. ICLR 2025Geometry Image Diffusion: Fast and Data-Efficient Text-to-3D with Image-Based Surface Representation

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.