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 26 of 36

1251. ICLR 2024OVOR: OnePrompt with Virtual Outlier Regularization for Rehearsal-Free Class-Incremental Learning
1252. ICLR 2024Plug-and-Play: An Efficient Post-training Pruning Method for Large Language Models
1253. ICLR 2024PoSE: Efficient Context Window Extension of LLMs via Positional Skip-wise Training
1254. ICLR 2024Project and Probe: Sample-Efficient Adaptation by Interpolating Orthogonal Features
1255. ICLR 2024Pushing Mixture of Experts to the Limit: Extremely Parameter Efficient MoE for Instruction Tuning
1256. ICLR 2024QLLM: Accurate and Efficient Low-Bitwidth Quantization for Large Language Models
1257. ICLR 2024RDesign: Hierarchical Data-efficient Representation Learning for Tertiary Structure-based RNA Design
1258. ICLR 2024ReFusion: Improving Natural Language Understanding with Computation-Efficient Retrieval Representation Fusion
1259. ICLR 2024Repeated Random Sampling for Minimizing the Time-to-Accuracy of Learning
1260. ICLR 2024RETSim: Resilient and Efficient Text Similarity
1261. ICLR 2024Scaling Laws for Sparsely-Connected Foundation Models
1262. ICLR 2024Scaling Laws of RoPE-based Extrapolation
1263. ICLR 2024Skeleton-of-Thought: Prompting LLMs for Efficient Parallel Generation
1264. ICLR 2024SPTNet: An Efficient Alternative Framework for Generalized Category Discovery with Spatial Prompt Tuning
1265. ICLR 2024ToolChain*: Efficient Action Space Navigation in Large Language Models with A* Search
1266. ICLR 2024Towards Energy Efficient Spiking Neural Networks: An Unstructured Pruning Framework
1267. ICLR 2024Towards Reliable and Efficient Backdoor Trigger Inversion via Decoupling Benign Features
1268. ICLR 2024Towards Robust and Efficient Cloud-Edge Elastic Model Adaptation via Selective Entropy Distillation
1269. ICLR 2024Tree-Planner: Efficient Close-loop Task Planning with Large Language Models
1270. ICLR 2024Tuning LayerNorm in Attention: Towards Efficient Multi-Modal LLM Finetuning
1271. ICLR 2024VQGraph: Rethinking Graph Representation Space for Bridging GNNs and MLPs
1272. ICLR 2024Waxing-and-Waning: a Generic Similarity-based Framework for Efficient Self-Supervised Learning
1273. ICLR 2024When Scaling Meets LLM Finetuning: The Effect of Data, Model and Finetuning Method
1274. ICLR 2024YaRN: Efficient Context Window Extension of Large Language Models
1275. ICLR 2024You Only Query Once: An Efficient Label-Only Membership Inference Attack
1276. ICLR 2024ZeRO++: Extremely Efficient Collective Communication for Large Model Training
1277. ICLR 2024Zoology: Measuring and Improving Recall in Efficient Language Models
1278. ICML 2024A Circuit Domain Generalization Framework for Efficient Logic Synthesis in Chip Design
1279. ICML 2024A Dynamical Model of Neural Scaling Laws
1280. ICML 2024A fast algorithm to simulate nonlinear resistive networks
1281. ICML 2024A New Computationally Efficient Algorithm to solve Feature Selection for Functional Data Classification in High-dimensional Spaces
1282. ICML 2024A Tale of Tails: Model Collapse as a Change of Scaling Laws
1283. ICML 2024AegisFL: Efficient and Flexible Privacy-Preserving Byzantine-Robust Cross-silo Federated Learning
1284. ICML 2024An Efficient Maximal Ancestral Graph Listing Algorithm
1285. ICML 2024An Efficient Self-Learning Framework For Interactive Spoken Dialog Systems
1286. ICML 2024APT: Adaptive Pruning and Tuning Pretrained Language Models for Efficient Training and Inference
1287. ICML 2024Asymptotically Optimal and Computationally Efficient Average Treatment Effect Estimation in A/B testing
1288. ICML 2024Beyond Chinchilla-Optimal: Accounting for Inference in Language Model Scaling Laws
1289. ICML 2024Beyond Regular Grids: Fourier-Based Neural Operators on Arbitrary Domains
1290. ICML 2024CaM: Cache Merging for Memory-efficient LLMs Inference
1291. ICML 2024CHAI: Clustered Head Attention for Efficient LLM Inference
1292. ICML 2024CLIPZyme: Reaction-Conditioned Virtual Screening of Enzymes
1293. ICML 2024Collaborative Learning with Different Labeling Functions
1294. ICML 2024Compute Better Spent: Replacing Dense Layers with Structured Matrices
1295. ICML 2024CosPGD: an efficient white-box adversarial attack for pixel-wise prediction tasks
1296. ICML 2024Data-efficient Large Vision Models through Sequential Autoregression
1297. ICML 2024Data-Efficient Learning via Clustering-Based Sensitivity Sampling: Foundation Models and Beyond
1298. ICML 2024Decoding Compressed Trust: Scrutinizing the Trustworthiness of Efficient LLMs Under Compression
1299. ICML 2024Deep Fusion: Efficient Network Training via Pre-trained Initializations
1300. ICML 2024Delving into Differentially Private Transformer

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.