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 27 of 36

1301. ICML 2024Density-Softmax: Efficient Test-time Model for Uncertainty Estimation and Robustness under Distribution Shifts
1302. ICML 2024Differentiable Model Scaling using Differentiable Topk
1303. ICML 2024DiJiang: Efficient Large Language Models through Compact Kernelization
1304. ICML 2024Distilling Morphology-Conditioned Hypernetworks for Efficient Universal Morphology Control
1305. ICML 2024DistiLLM: Towards Streamlined Distillation for Large Language Models
1306. ICML 2024Distributed High-Dimensional Quantile Regression: Estimation Efficiency and Support Recovery
1307. ICML 2024Do Topological Characteristics Help in Knowledge Distillation?
1308. ICML 2024Efficient Algorithms for Empirical Group Distributionally Robust Optimization and Beyond
1309. ICML 2024Efficient Algorithms for Sum-Of-Minimum Optimization
1310. ICML 2024Efficient and Effective Time-Series Forecasting with Spiking Neural Networks
1311. ICML 2024Efficient Contextual Bandits with Uninformed Feedback Graphs
1312. ICML 2024Efficient Contrastive Learning for Fast and Accurate Inference on Graphs
1313. ICML 2024Efficient Exploration for LLMs
1314. ICML 2024Efficient Low-Rank Matrix Estimation, Experimental Design, and Arm-Set-Dependent Low-Rank Bandits
1315. ICML 2024Efficient Mixture Learning in Black-Box Variational Inference
1316. ICML 2024Efficient Online Set-valued Classification with Bandit Feedback
1317. ICML 2024Efficient PAC Learnability of Dynamical Systems Over Multilayer Networks
1318. ICML 2024Efficient Precision and Recall Metrics for Assessing Generative Models using Hubness-aware Sampling
1319. ICML 2024Efficient Stochastic Approximation of Minimax Excess Risk Optimization
1320. ICML 2024Efficient Value Iteration for s-rectangular Robust Markov Decision Processes
1321. ICML 2024Embodied CoT Distillation From LLM To Off-the-shelf Agents
1322. ICML 2024EMC$^2$: Efficient MCMC Negative Sampling for Contrastive Learning with Global Convergence
1323. ICML 2024Energy-Efficient Gaussian Processes Using Low-Precision Arithmetic
1324. ICML 2024Error Feedback Can Accurately Compress Preconditioners
1325. ICML 2024ETHER: Efficient Finetuning of Large-Scale Models with Hyperplane Reflections
1326. ICML 2024EVEREST: Efficient Masked Video Autoencoder by Removing Redundant Spatiotemporal Tokens
1327. ICML 2024Evolution of Heuristics: Towards Efficient Automatic Algorithm Design Using Large Language Model
1328. ICML 2024Fast and Sample Efficient Multi-Task Representation Learning in Stochastic Contextual Bandits
1329. ICML 2024Fast Decision Boundary based Out-of-Distribution Detector
1330. ICML 2024Fault Tolerant ML: Efficient Meta-Aggregation and Synchronous Training
1331. ICML 2024FedBAT: Communication-Efficient Federated Learning via Learnable Binarization
1332. ICML 2024FedBPT: Efficient Federated Black-box Prompt Tuning for Large Language Models
1333. ICML 2024Flextron: Many-in-One Flexible Large Language Model
1334. ICML 2024Gated Linear Attention Transformers with Hardware-Efficient Training
1335. ICML 2024GeminiFusion: Efficient Pixel-wise Multimodal Fusion for Vision Transformer
1336. ICML 2024Get More with LESS: Synthesizing Recurrence with KV Cache Compression for Efficient LLM Inference
1337. ICML 2024Gradient Compressed Sensing: A Query-Efficient Gradient Estimator for High-Dimensional Zeroth-Order Optimization
1338. ICML 2024Graph Distillation with Eigenbasis Matching
1339. ICML 2024GroupCover: A Secure, Efficient and Scalable Inference Framework for On-device Model Protection based on TEEs
1340. ICML 2024InferCept: Efficient Intercept Support for Augmented Large Language Model Inference
1341. ICML 2024InstructZero: Efficient Instruction Optimization for Black-Box Large Language Models
1342. ICML 2024Jetfire: Efficient and Accurate Transformer Pretraining with INT8 Data Flow and Per-Block Quantization
1343. ICML 2024Knowledge Distillation with Auxiliary Variable
1344. ICML 2024Learning from Students: Applying t-Distributions to Explore Accurate and Efficient Formats for LLMs
1345. ICML 2024Learning-Efficient Yet Generalizable Collaborative Filtering for Item Recommendation
1346. ICML 2024Leveraging Self-Consistency for Data-Efficient Amortized Bayesian Inference
1347. ICML 2024Measuring Stochastic Data Complexity with Boltzmann Influence Functions
1348. ICML 2024Memory Efficient Neural Processes via Constant Memory Attention Block
1349. ICML 2024MLIP: Efficient Multi-Perspective Language-Image Pretraining with Exhaustive Data Utilization
1350. ICML 2024Multi-Region Markovian Gaussian Process: An Efficient Method to Discover Directional Communications Across Multiple Brain Regions

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.