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

492 papers, page 6 of 10

251. ICML 2025Predictive Data Selection: The Data That Predicts Is the Data That Teaches
252. ICML 2025Primphormer: Efficient Graph Transformers with Primal Representations
253. ICML 2025ProofAug: Efficient Neural Theorem Proving via Fine-grained Proof Structure Analysis
254. ICML 2025QoS-Efficient Serving of Multiple Mixture-of-Expert LLMs Using Partial Runtime Reconfiguration
255. ICML 2025Reliable and Efficient Amortized Model-based Evaluation
256. ICML 2025Residual Matrix Transformers: Scaling the Size of the Residual Stream
257. ICML 2025Reward-Guided Speculative Decoding for Efficient LLM Reasoning
258. ICML 2025Robust Consensus Anchor Learning for Efficient Multi-view Subspace Clustering
259. ICML 2025RoSTE: An Efficient Quantization-Aware Supervised Fine-Tuning Approach for Large Language Models
260. ICML 2025SageAttention2: Efficient Attention with Thorough Outlier Smoothing and Per-thread INT4 Quantization
261. ICML 2025Sample Efficient Demonstration Selection for In-Context Learning
262. ICML 2025Scalable Model Merging with Progressive Layer-wise Distillation
263. ICML 2025Scaling Collapse Reveals Universal Dynamics in Compute-Optimally Trained Neural Networks
264. ICML 2025Scaling Inference-Efficient Language Models
265. ICML 2025Scaling Laws for Floating–Point Quantization Training
266. ICML 2025Scaling Probabilistic Circuits via Monarch Matrices
267. ICML 2025SDP-CROWN: Efficient Bound Propagation for Neural Network Verification with Tightness of Semidefinite Programming
268. ICML 2025SKIM: Any-bit Quantization Pushing The Limits of Post-Training Quantization
269. ICML 2025Sorbet: A Neuromorphic Hardware-Compatible Transformer-Based Spiking Language Model
270. ICML 2025Sparse Spectral Training and Inference on Euclidean and Hyperbolic Neural Networks
271. ICML 2025SpikeVideoFormer: An Efficient Spike-Driven Video Transformer with Hamming Attention and $\mathcal{O}(T)$ Complexity
272. ICML 2025SpikF: Spiking Fourier Network for Efficient Long-term Prediction
273. ICML 2025Star Attention: Efficient LLM Inference over Long Sequences
274. ICML 2025SWAN: SGD with Normalization and Whitening Enables Stateless LLM Training
275. ICML 2025TabFlex: Scaling Tabular Learning to Millions with Linear Attention
276. ICML 2025Temporal Query Network for Efficient Multivariate Time Series Forecasting
277. ICML 2025Tensor Decomposition Based Memory-Efficient Incremental Learning
278. ICML 2025The Hidden Joules: Evaluating the Energy Consumption of Vision Backbones for Progress Towards More Efficient Model Inference
279. ICML 2025The Limits of Tractable Marginalization
280. ICML 2025The Panaceas for Improving Low-Rank Decomposition in Communication-Efficient Federated Learning
281. ICML 2025TimeBase: The Power of Minimalism in Efficient Long-term Time Series Forecasting
282. ICML 2025TimePro: Efficient Multivariate Long-term Time Series Forecasting with Variable- and Time-Aware Hyper-state
283. ICML 2025Training Deep Learning Models with Norm-Constrained LMOs
284. ICML 2025UncertainSAM: Fast and Efficient Uncertainty Quantification of the Segment Anything Model
285. ICML 2025Unifews: You Need Fewer Operations for Efficient Graph Neural Networks
286. ICML 2025XAttention: Block Sparse Attention with Antidiagonal Scoring
287. ICML 2025xLSTM 7B: A Recurrent LLM for Fast and Efficient Inference
288. ICML 2024A Circuit Domain Generalization Framework for Efficient Logic Synthesis in Chip Design
289. ICML 2024A Dynamical Model of Neural Scaling Laws
290. ICML 2024A fast algorithm to simulate nonlinear resistive networks
291. ICML 2024A New Computationally Efficient Algorithm to solve Feature Selection for Functional Data Classification in High-dimensional Spaces
292. ICML 2024A Tale of Tails: Model Collapse as a Change of Scaling Laws
293. ICML 2024AegisFL: Efficient and Flexible Privacy-Preserving Byzantine-Robust Cross-silo Federated Learning
294. ICML 2024An Efficient Maximal Ancestral Graph Listing Algorithm
295. ICML 2024An Efficient Self-Learning Framework For Interactive Spoken Dialog Systems
296. ICML 2024APT: Adaptive Pruning and Tuning Pretrained Language Models for Efficient Training and Inference
297. ICML 2024Asymptotically Optimal and Computationally Efficient Average Treatment Effect Estimation in A/B testing
298. ICML 2024Beyond Chinchilla-Optimal: Accounting for Inference in Language Model Scaling Laws
299. ICML 2024Beyond Regular Grids: Fourier-Based Neural Operators on Arbitrary Domains
300. ICML 2024CaM: Cache Merging for Memory-efficient LLMs Inference

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.