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 20 of 36

951. NeurIPS 2025ChunkKV: Semantic-Preserving KV Cache Compression for Efficient Long-Context LLM Inference
952. NeurIPS 2025COALA: Numerically Stable and Efficient Framework for Context-Aware Low-Rank Approximation
953. NeurIPS 2025CodeGEMM: A Codebook-Centric Approach to Efficient GEMM in Quantized LLMs
954. NeurIPS 2025CoIDO: Efficient Data Selection for Visual Instruction Tuning via Coupled Importance-Diversity Optimization
955. NeurIPS 2025Communication-Efficient Language Model Training Scales Reliably and Robustly: Scaling Laws for DiLoCo
956. NeurIPS 2025Computation and Memory-Efficient Model Compression with Gradient Reweighting
957. NeurIPS 2025Computational Budget Should Be Considered in Data Selection
958. NeurIPS 2025Convex Potential Mirror Langevin Algorithm for Efficient Sampling of Energy-Based Models
959. NeurIPS 2025Cost-Sensitive Freeze-thaw Bayesian Optimization for Efficient Hyperparameter Tuning
960. NeurIPS 2025CrossSpectra: Exploiting Cross-Layer Smoothness for Parameter-Efficient Fine-Tuning
961. NeurIPS 2025D2SA: Dual-Stage Distribution and Slice Adaptation for Efficient Test-Time Adaptation in MRI Reconstruction
962. NeurIPS 2025DartQuant: Efficient Rotational Distribution Calibration for LLM Quantization
963. NeurIPS 2025Degrees of Freedom for Linear Attention: Distilling Softmax Attention with Optimal Feature Efficiency
964. NeurIPS 2025Delta Attention: Fast and Accurate Sparse Attention Inference by Delta Correction
965. NeurIPS 2025DeltaFlow: An Efficient Multi-frame Scene Flow Estimation Method
966. NeurIPS 2025Dependency Parsing is More Parameter-Efficient with Normalization
967. NeurIPS 2025DictPFL: Efficient and Private Federated Learning on Encrypted Gradients
968. NeurIPS 2025Diffusion on Demand: Selective Caching and Modulation for Efficient Generation
969. NeurIPS 2025Dimension-adapted Momentum Outscales SGD
970. NeurIPS 2025DoDo-Code: an Efficient Levenshtein Distance Embedding-based Code for 4-ary IDS Channel
971. NeurIPS 2025Don't be lazy: CompleteP enables compute-efficient deep transformers
972. NeurIPS 2025DuSA: Fast and Accurate Dual-Stage Sparse Attention Mechanism Accelerating Both Training and Inference
973. NeurIPS 2025DynaNav: Dynamic Feature and Layer Selection for Efficient Visual Navigation
974. NeurIPS 2025E2Former: An Efficient and Equivariant Transformer with Linear-Scaling Tensor Products
975. NeurIPS 2025EasySpec: Layer-Parallel Speculative Decoding for Efficient Multi-GPU Utilization
976. NeurIPS 2025ECO: Evolving Core Knowledge for Efficient Transfer
977. NeurIPS 2025Efficient $k$-Sparse Band–Limited Interpolation with Improved Approximation Ratio
978. NeurIPS 2025Efficient and Generalizable Mixed-Precision Quantization via Topological Entropy
979. NeurIPS 2025Efficient Data Selection at Scale via Influence Distillation
980. NeurIPS 2025Efficient Fairness-Performance Pareto Front Computation
981. NeurIPS 2025Efficient Hybrid Language Model Compression through Group-Aware SSM Pruning
982. NeurIPS 2025Efficient Kernelized Learning in Polyhedral Games beyond Full Information: From Colonel Blotto to Congestion Games
983. NeurIPS 2025Efficient Large Language Model Inference with Neural Block Linearization
984. NeurIPS 2025Efficient Last-Iterate Convergence in Solving Extensive-Form Games
985. NeurIPS 2025Efficient Multi-bit Quantization Network Training via Weight Bias Correction and Bit-wise Coreset Sampling
986. NeurIPS 2025Efficient Multi-modal Large Language Models via Progressive Consistency Distillation
987. NeurIPS 2025Efficient Multimodal Dataset Distillation via Generative Models
988. NeurIPS 2025Efficient PAC Learning for Realizable-Statistic Models via Convex Surrogates
989. NeurIPS 2025Efficient Parametric SVD of Koopman Operator for Stochastic Dynamical Systems
990. NeurIPS 2025Efficient Part-level 3D Object Generation via Dual Volume Packing
991. NeurIPS 2025Efficient Prompt Compression with Evaluator Heads for Long-Context Transformer Inference
992. NeurIPS 2025Efficient RAW Image Deblurring with Adaptive Frequency Modulation
993. NeurIPS 2025Efficient Representativeness-Aware Coreset Selection
994. NeurIPS 2025Efficient semantic uncertainty quantification in language models via diversity-steered sampling
995. NeurIPS 2025Efficient Speech Language Modeling via Energy Distance in Continuous Latent Space
996. NeurIPS 2025Efficient Utility-Preserving Machine Unlearning with Implicit Gradient Surgery
997. NeurIPS 2025Efficient Verified Unlearning For Distillation
998. NeurIPS 2025ElliCE: Efficient and Provably Robust Algorithmic Recourse via the Rashomon Sets
999. NeurIPS 2025Emergence and scaling laws in SGD learning of shallow neural networks
1000. NeurIPS 2025EventMG: Efficient Multilevel Mamba-Graph Learning for Spatiotemporal Event 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.