Inference Acceleration papers, 2023–2026
Quantization, distillation, and serving
Scope: NeurIPS, ICLR, ICML and CVPR, 2023–2026. 259 papers are tagged with this topic.
Key findings
- Inference Acceleration went from 54 papers in 2023 to 91 in 2026, roughly 1.7x in three years.
- NeurIPS publishes the most Inference Acceleration work: 90 papers from 2023 to 2026, 35% of the four-venue total.
- The fastest-growing overlap is with Deep learning · large language models: papers tagged with both rose from 1 in 2023 to 9 in 2026.
- Among the 5 topics under Efficiency and Systems, it ranks #5 by 2026 paper count; the fastest grower in the group, Hardware-Aware ML, is up 4.4x versus 1.7x here.
Papers per venue
Counts by year and venue
| Year | NeurIPS | ICLR | ICML | CVPR | Total |
|---|---|---|---|---|---|
| 2023 | 20 | 11 | 7 | 16 | 54 |
| 2024 | 22 | 2 | 13 | 13 | 50 |
| 2025 | 15 | 18 | 22 | 9 | 64 |
| 2026 | 33 | 17 | 26 | 15 | 91 |
Representative papers
Spread across years and venues so every edition shows up
- NeurIPS 2026A Method-Class Divide in Sub-4-Bit Quantization:\\Iterative vs.\ Single-Pass Sensitivity to Data Composition
- ICML 2026Consistency Deep Equilibrium Models
- ICLR 2026OrderDP: A Theoretically Guaranteed Lossless Dynamic Data Pruning Framework
- CVPR 2026GeoRK2 Geometry-Guided Runge-Kutta Integration for Diffusion Transformer Acceleration
- NeurIPS 2025PolarQuant: Leveraging Polar Transformation for Key Cache Quantization and Decoding Acceleration
- ICML 2025RePaViT: Scalable Vision Transformer Acceleration via Structural Reparameterization on Feedforward Network Layers
- ICLR 2025Progressive distillation induces an implicit curriculum
- CVPR 2025Adapting Dense Matching for Homography Estimation with Grid-based Acceleration
- NeurIPS 2024Provable Acceleration of Nesterov's Accelerated Gradient for Asymmetric Matrix Factorization and Linear Neural Networks
- ICML 2024Diversified Batch Selection for Training Acceleration
- ICLR 2024Embarrassingly Simple Dataset Distillation
- CVPR 2024Data-Free Quantization via Pseudo-label Filtering
- NeurIPS 2023Continuous-time Analysis of Anchor Acceleration
- ICML 2023Auxiliary Modality Learning with Generalized Curriculum Distillation
- ICLR 2023Accurate Neural Training with 4-bit Matrix Multiplications at Standard Formats
- CVPR 2023NIPQ: Noise Proxy-Based Integrated Pseudo-Quantization
- NeurIPS 2026AcceleGrad#: Adaptive Geometry-Aware Acceleration
- ICML 2026PsumQuant: In-line Post-training Partial Sum Quantizer for Energy Efficient NPU Inference
- ICLR 2026NLI : Non-uniform Linear Interpolation Approximation of Nonlinear Operations for Efficient LLMs Inference
- CVPR 2026SODA Sensitivity-Oriented Dynamic Acceleration for Diffusion Transformer
All Inference Acceleration papers
11 papers, page 1 of 1
- ICLR 2023Accurate Neural Training with 4-bit Matrix Multiplications at Standard Formats
- ICLR 2023Bit-Pruning: A Sparse Multiplication-Less Dot-Product
- ICLR 2023Continuized Acceleration for Quasar Convex Functions in Non-Convex Optimization
- ICLR 2023EVC: Towards Real-Time Neural Image Compression with Mask Decay
- ICLR 2023Masked Distillation with Receptive Tokens
- ICLR 2023Minimum Variance Unbiased N:M Sparsity for the Neural Gradients
- ICLR 2023MLPInit: Embarrassingly Simple GNN Training Acceleration with MLP Initialization
- ICLR 2023On the Convergence of AdaGrad(Norm) on $\mathbb{R}^d$: Beyond Convexity, Non-Asymptotic Rate and Acceleration
- ICLR 2023PowerQuant: Automorphism Search for Non-Uniform Quantization
- ICLR 2023Scaffolding a Student to Instill Knowledge
- ICLR 2023Win: Weight-Decay-Integrated Nesterov Acceleration for Adaptive Gradient Algorithms
Ask about this trend from Claude or Cursor
Connect the Paperlist MCP and your assistant can pull the numbers on this page while you draft a survey, pick a direction or plan a submission: papers per year and venue, growth, the fastest-rising sub-themes and representative papers, shaped around your question.
Copy this prompt into your assistant
Use paperlist to show how Inference Acceleration papers grew at NeurIPS from 2023 to 2026, and which year jumped the most.
Tool the assistant calls: get_topic_stats {"topic": "inference-acceleration"}
Set up Paperlist MCP in two minutes (Claude Code, Cursor, Codex, ChatGPT)
FAQ
- How many Inference Acceleration papers were published at NeurIPS, ICLR, ICML and CVPR from 2023 to 2026?
- 259 in total: 54 in 2023, 50 in 2024, 64 in 2025, 91 in 2026.
- How many Inference Acceleration papers are at NeurIPS 2026?
- NeurIPS 2026 has 33 Inference Acceleration papers, versus 15 the year before.
- How many Inference Acceleration papers are at ICLR 2026?
- ICLR 2026 has 17 Inference Acceleration papers, versus 18 the year before.
- How many Inference Acceleration papers are at ICML 2026?
- ICML 2026 has 26 Inference Acceleration papers, versus 22 the year before.
- How many Inference Acceleration papers are at CVPR 2026?
- CVPR 2026 has 15 Inference Acceleration papers, versus 9 the year before.
- Which conference publishes the most Inference Acceleration papers?
- NeurIPS, with 90 papers from 2023 to 2026.