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 32 of 36

1551. ICLR 2023Parameter-Efficient Fine-Tuning Design Spaces
1552. ICLR 2023PASHA: Efficient HPO and NAS with Progressive Resource Allocation
1553. ICLR 2023PiFold: Toward effective and efficient protein inverse folding
1554. ICLR 2023Reparameterization through Spatial Gradient Scaling
1555. ICLR 2023Scalable and Equivariant Spherical CNNs by Discrete-Continuous (DISCO) Convolutions
1556. ICLR 2023SCALE-UP: An Efficient Black-box Input-level Backdoor Detection via Analyzing Scaled Prediction Consistency
1557. ICLR 2023Scaling Forward Gradient With Local Losses
1558. ICLR 2023Scaling Up Probabilistic Circuits by Latent Variable Distillation
1559. ICLR 2023SCoMoE: Efficient Mixtures of Experts with Structured Communication
1560. ICLR 2023Self-Guided Noise-Free Data Generation for Efficient Zero-Shot Learning
1561. ICLR 2023SmartFRZ: An Efficient Training Framework using Attention-Based Layer Freezing
1562. ICLR 2023Sparse MoE as the New Dropout: Scaling Dense and Self-Slimmable Transformers
1563. ICLR 2023Sparse Random Networks for Communication-Efficient Federated Learning
1564. ICLR 2023Spherical Sliced-Wasserstein
1565. ICLR 2023Statistical Efficiency of Score Matching: The View from Isoperimetry
1566. ICLR 2023Teacher Guided Training: An Efficient Framework for Knowledge Transfer
1567. ICLR 2023The Onset of Variance-Limited Behavior for Networks in the Lazy and Rich Regimes
1568. ICLR 2023Trainable Weight Averaging: Efficient Training by Optimizing Historical Solutions
1569. ICLR 2023Treeformer: Dense Gradient Trees for Efficient Attention Computation
1570. ICLR 2023Voxurf: Voxel-based Efficient and Accurate Neural Surface Reconstruction
1571. ICML 2023Auxiliary Modality Learning with Generalized Curriculum Distillation
1572. ICML 2023BEATs: Audio Pre-Training with Acoustic Tokenizers
1573. ICML 2023Bi-directional Masks for Efficient N:M Sparse Training
1574. ICML 2023Bigger, Better, Faster: Human-level Atari with human-level efficiency
1575. ICML 2023Brainformers: Trading Simplicity for Efficiency
1576. ICML 2023Communication-Efficient Federated Hypergradient Computation via Aggregated Iterative Differentiation
1577. ICML 2023Constrained Efficient Global Optimization of Expensive Black-box Functions
1578. ICML 2023Cramming: Training a Language Model on a single GPU in one day.
1579. ICML 2023Data Efficient Neural Scaling Law via Model Reusing
1580. ICML 2023Data-Efficient Contrastive Self-supervised Learning: Most Beneficial Examples for Supervised Learning Contribute the Least
1581. ICML 2023Data-OOB: Out-of-bag Estimate as a Simple and Efficient Data Value
1582. ICML 2023Dataset Distillation with Convexified Implicit Gradients
1583. ICML 2023Decoding Layer Saliency in Language Transformers
1584. ICML 2023Deja Vu: Contextual Sparsity for Efficient LLMs at Inference Time
1585. ICML 2023DIVISION: Memory Efficient Training via Dual Activation Precision
1586. ICML 2023dugMatting: Decomposed-Uncertainty-Guided Matting
1587. ICML 2023Effective and Efficient Structural Inference with Reservoir Computing
1588. ICML 2023Efficient and Degree-Guided Graph Generation via Discrete Diffusion Modeling
1589. ICML 2023Efficient and Equivariant Graph Networks for Predicting Quantum Hamiltonian
1590. ICML 2023Efficient Approximations of Complete Interatomic Potentials for Crystal Property Prediction
1591. ICML 2023Efficient Bound of Lipschitz Constant for Convolutional Layers by Gram Iteration
1592. ICML 2023Efficient displacement convex optimization with particle gradient descent
1593. ICML 2023Efficient Latency-Aware CNN Depth Compression via Two-Stage Dynamic Programming
1594. ICML 2023Efficient List-Decodable Regression using Batches
1595. ICML 2023Efficient Parametric Approximations of Neural Network Function Space Distance
1596. ICML 2023Efficient Personalized Federated Learning via Sparse Model-Adaptation
1597. ICML 2023Efficient preconditioned stochastic gradient descent for estimation in latent variable models
1598. ICML 2023Efficient Quantum Algorithms for Quantum Optimal Control
1599. ICML 2023Efficient Rate Optimal Regret for Adversarial Contextual MDPs Using Online Function Approximation
1600. ICML 2023Efficient RL via Disentangled Environment and Agent Representations

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.