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

419 papers, page 7 of 9

301. ICLR 2024Fast-DetectGPT: Efficient Zero-Shot Detection of Machine-Generated Text via Conditional Probability Curvature
302. ICLR 2024Fast-ELECTRA for Efficient Pre-training
303. ICLR 2024Faster Sampling from Log-Concave Densities over Polytopes via Efficient Linear Solvers
304. ICLR 2024FedCompass: Efficient Cross-Silo Federated Learning on Heterogeneous Client Devices Using a Computing Power-Aware Scheduler
305. ICLR 2024Finite-State Autoregressive Entropy Coding for Efficient Learned Lossless Compression
306. ICLR 2024FlashFFTConv: Efficient Convolutions for Long Sequences with Tensor Cores
307. ICLR 2024Hybrid LLM: Cost-Efficient and Quality-Aware Query Routing
308. ICLR 2024IceFormer: Accelerated Inference with Long-Sequence Transformers on CPUs
309. ICLR 2024Increasing Model Capacity for Free: A Simple Strategy for Parameter Efficient Fine-tuning
310. ICLR 2024Jointly-Learned Exit and Inference for a Dynamic Neural Network
311. ICLR 2024Knowledge Distillation Based on Transformed Teacher Matching
312. ICLR 2024Language Model Cascades: Token-Level Uncertainty And Beyond
313. ICLR 2024Large Language Models are Efficient Learners of Noise-Robust Speech Recognition
314. ICLR 2024LEMON: Lossless model expansion
315. ICLR 2024Linear Log-Normal Attention with Unbiased Concentration
316. ICLR 2024LLaMA-Adapter: Efficient Fine-tuning of Large Language Models with Zero-initialized Attention
317. ICLR 2024LongLoRA: Efficient Fine-tuning of Long-Context Large Language Models
318. ICLR 2024LUT-GEMM: Quantized Matrix Multiplication based on LUTs for Efficient Inference in Large-Scale Generative Language Models
319. ICLR 2024Manipulating dropout reveals an optimal balance of efficiency and robustness in biological and machine visual systems
320. ICLR 2024MAPE-PPI: Towards Effective and Efficient Protein-Protein Interaction Prediction via Microenvironment-Aware Protein Embedding
321. ICLR 2024MEND: Meta Demonstration Distillation for Efficient and Effective In-Context Learning
322. ICLR 2024Merge, Then Compress: Demystify Efficient SMoE with Hints from Its Routing Policy
323. ICLR 2024Network Memory Footprint Compression Through Jointly Learnable Codebooks and Mappings
324. ICLR 2024Node2ket: Efficient High-Dimensional Network Embedding in Quantum Hilbert Space
325. ICLR 2024Object centric architectures enable efficient causal representation learning
326. ICLR 2024OVOR: OnePrompt with Virtual Outlier Regularization for Rehearsal-Free Class-Incremental Learning
327. ICLR 2024Plug-and-Play: An Efficient Post-training Pruning Method for Large Language Models
328. ICLR 2024PoSE: Efficient Context Window Extension of LLMs via Positional Skip-wise Training
329. ICLR 2024Project and Probe: Sample-Efficient Adaptation by Interpolating Orthogonal Features
330. ICLR 2024Pushing Mixture of Experts to the Limit: Extremely Parameter Efficient MoE for Instruction Tuning
331. ICLR 2024QLLM: Accurate and Efficient Low-Bitwidth Quantization for Large Language Models
332. ICLR 2024RDesign: Hierarchical Data-efficient Representation Learning for Tertiary Structure-based RNA Design
333. ICLR 2024ReFusion: Improving Natural Language Understanding with Computation-Efficient Retrieval Representation Fusion
334. ICLR 2024Repeated Random Sampling for Minimizing the Time-to-Accuracy of Learning
335. ICLR 2024RETSim: Resilient and Efficient Text Similarity
336. ICLR 2024Scaling Laws for Sparsely-Connected Foundation Models
337. ICLR 2024Scaling Laws of RoPE-based Extrapolation
338. ICLR 2024Skeleton-of-Thought: Prompting LLMs for Efficient Parallel Generation
339. ICLR 2024SPTNet: An Efficient Alternative Framework for Generalized Category Discovery with Spatial Prompt Tuning
340. ICLR 2024ToolChain*: Efficient Action Space Navigation in Large Language Models with A* Search
341. ICLR 2024Towards Energy Efficient Spiking Neural Networks: An Unstructured Pruning Framework
342. ICLR 2024Towards Reliable and Efficient Backdoor Trigger Inversion via Decoupling Benign Features
343. ICLR 2024Towards Robust and Efficient Cloud-Edge Elastic Model Adaptation via Selective Entropy Distillation
344. ICLR 2024Tree-Planner: Efficient Close-loop Task Planning with Large Language Models
345. ICLR 2024Tuning LayerNorm in Attention: Towards Efficient Multi-Modal LLM Finetuning
346. ICLR 2024VQGraph: Rethinking Graph Representation Space for Bridging GNNs and MLPs
347. ICLR 2024Waxing-and-Waning: a Generic Similarity-based Framework for Efficient Self-Supervised Learning
348. ICLR 2024When Scaling Meets LLM Finetuning: The Effect of Data, Model and Finetuning Method
349. ICLR 2024YaRN: Efficient Context Window Extension of Large Language Models
350. ICLR 2024You Only Query Once: An Efficient Label-Only Membership Inference Attack

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.