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

603 papers, page 10 of 13

451. NeurIPS 2026Communication-Efficient Personalized Adaptation via Federated-Local Model Merging
452. NeurIPS 2026CommunityKV: Efficient Long-Context Decoding via Graph Partitioning
453. NeurIPS 2026CompactAttention: Accelerating Chunked Prefill with Block-Union KV Selection
454. NeurIPS 2026Confidence-Based Decoding is Provably Efficient for Diffusion Language Models
455. NeurIPS 2026Constrained Decoding for Diffusion Language Models via Efficient Inference over Finite Automata
456. NeurIPS 2026CoPE-VideoLM: Leveraging Codec Primitives For Efficient Video Language Modelling
457. NeurIPS 2026CRUMB: Efficient Prior Fitted Network Inference via Distributionally Matched Context Batching
458. NeurIPS 2026Data-Constrained Language Model Pretraining: Improved Regularization and Scaling Laws
459. NeurIPS 2026Data-Free Reservoir Features for Efficient Long-Horizon Cold-Start Continual Learning
460. NeurIPS 2026Dataset Distillation via Drifting
461. NeurIPS 2026Decomposing and Reshaping Scaling Laws through Token Learning Times
462. NeurIPS 2026Depth through Recurrence: Towards Ultra-Efficient On-Device ASR
463. NeurIPS 2026DrugSAGE: Self-evolving Agent Experience for Efficient State-of-the-Art Drug Discovery
464. NeurIPS 2026DualKV: Shared-Prompt Flash Attention for Efficient RL Training with Large Rollouts and Long Contexts
465. NeurIPS 2026Dynamic Convolutions Improve Transformers
466. NeurIPS 2026Dynamic Resolution Routing for Efficient Egocentric Grounding
467. NeurIPS 2026Dynamics-Aware Sparse Attention for Efficient Autoregressive Video Diffusion
468. NeurIPS 2026DyRA: Dynamic Residual Approximation for Efficient Matrix Multiplication in DNNs
469. NeurIPS 2026Efficient Algorithms for Distributed Saddle Problems
470. NeurIPS 2026Efficient Algorithms For Fully Dynamic Bipartite Matching In Metric Spaces
471. NeurIPS 2026Efficient algorithms for linear regression with heteroskedastic errors
472. NeurIPS 2026Efficient Benchmarking Is Just Feature Selection and Multiple Regression
473. NeurIPS 2026Efficient Brain-to-Speech Decoding with Fixed-Delay Spiking Neural Networks
474. NeurIPS 2026Efficient Collaborative LLM Fine-Tuning over Heterogeneous Mobile Devices via Many Backbones to One Side-Network Tuning
475. NeurIPS 2026Efficient Computation and Best-Response Dynamics in Anonymous Two-Action Games with Linear Utilities
476. NeurIPS 2026Efficient Decoder Scaling Strategy for Constructive Neural Routing Solvers
477. NeurIPS 2026Efficient Fine-Tuning for Structured Sparsity Under Group Repartitioning
478. NeurIPS 2026Efficient Image Synthesis with Sphere Latent Encoder
479. NeurIPS 2026Efficient Label Distribution Inference Attack and Defense on Classifier Weights in Federated Learning
480. NeurIPS 2026Efficient Learning of Truncated Boolean Product Distributions: Influence to the Rescue
481. NeurIPS 2026Efficient LLM Adaptation with Forward-Only Passes
482. NeurIPS 2026Efficient Memory Crystallization for Graph Learning under Non-Stationary Distribution Shifts
483. NeurIPS 2026Efficient Pre-Training with Token Superposition
484. NeurIPS 2026Efficient Scaling of LLM Training with Flexible Context Parallelism
485. NeurIPS 2026Efficient Serving for Dynamic Agent Workflows with Prediction-based KV-Cache Management
486. NeurIPS 2026Efficient Training of Deep Spiking Neural Networks with Input-Driven Derivative-Free Updates
487. NeurIPS 2026Efficient Variational Inference for Log-Gaussian Cox Processes via Voronoi Tessellation
488. NeurIPS 2026Efficient, Accurate and Stable Gradients for Neural ODEs
489. NeurIPS 2026Efficiently Aligning Draft Models via Parameter- and Data-Efficient Adaptation
490. NeurIPS 2026EngramState: Loadable Tool Priors for Efficient Function Calling
491. NeurIPS 2026EventPrune: Cascaded Event-Assisted Token Pruning for Efficient First-Person Dynamic Spatial Reasoning
492. NeurIPS 2026Fast KVzip: Efficient and Accurate LLM Inference with Gated KV Eviction
493. NeurIPS 2026FELPS: Fair and Efficient Scheduling for Multi-LoRA Serving System
494. NeurIPS 2026Finite-Memory Control of POMDPs: Fundamental Limits and Efficient Design
495. NeurIPS 2026Finite-Sample and Communication-Efficient Networked Information Aggregation
496. NeurIPS 2026Flash-KMeans: Fast and Memory-Efficient Exact K-Means
497. NeurIPS 2026FlashMask-3: Efficient and Expressive Mask-Aware Distributed Attention
498. NeurIPS 2026Flow-Direct: Feedback-Efficient and Reusable Guidance for Flow Models via Non-Parametric Guidance Field
499. NeurIPS 2026From Experts to Sub-experts: Fine-grained Parameter-Efficient Fine-Tuning for MoE LLMs
500. NeurIPS 2026Generative Cross-Entropy: A Strictly Proper Loss for Data-Efficient Classification

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.