Sparsity Acceleration papers, 2023–2026

Key findings

• Sparsity Acceleration went from 54 papers in 2023 to 89 in 2026, roughly 1.6x in three years.
• NeurIPS publishes the most Sparsity Acceleration work: 80 papers from 2023 to 2026, 31% of the four-venue total.
• The fastest-growing overlap is with Multimodal LLMs: papers tagged with both rose from 0 in 2023 to 13 in 2026.
• Among the 5 topics under Hardware and Compilers, it ranks #1 by 2026 paper count; the fastest grower in the group, Edge Inference, is up 4.0x versus 1.6x here.

Representative papers

Spread across years and venues so every edition shows up

• NeurIPS 2026AC/DC on a Budget -- Alternating Sparse Phases
• ICML 2026An Evidential Route to Asymptotic Bayes Optimality under Sparsity
• ICLR 2026Hilbert-Guided Sparse Local Attention
• CVPR 2026Improving Sparse Autoencoder with Dynamic Attention
• NeurIPS 2025Bilevel Network Learning via Hierarchically Structured Sparsity
• ICML 2025COGNATE: Acceleration of Sparse Tensor Programs on Emerging Hardware using Transfer Learning
• ICLR 2025Beyond Worst-Case Dimensionality Reduction for Sparse Vectors
• CVPR 2025ICP: Immediate Compensation Pruning for Mid-to-high Sparsity
• NeurIPS 2024ELSA: Exploiting Layer-wise N:M Sparsity for Vision Transformer Acceleration
• ICML 2024Accelerating Transformer Pre-training with 2:4 Sparsity
• ICLR 2024Adaptive Sharpness-Aware Pruning for Robust Sparse Networks
• CVPR 2024Masked Spatial Propagation Network for Sparsity-Adaptive Depth Refinement
• NeurIPS 2023Dynamic Sparsity Is Channel-Level Sparsity Learner
• ICML 2023Conformalization of Sparse Generalized Linear Models
• ICLR 2023Bit-Pruning: A Sparse Multiplication-Less Dot-Product
• CVPR 2023Adaptive Channel Sparsity for Federated Learning Under System Heterogeneity
• NeurIPS 2026Beyond Masked Sparsity: SNACK Enables Truly Sparse Neural Networks on GPU
• ICML 2026FlashSketch: Sketch-Kernel Co-Design for Fast Sparse Sketching on GPUs
• ICLR 2026Identifiability Challenges in Sparse Linear Ordinary Differential Equations
• CVPR 2026Revisiting Pose Sensitivity in Splat-based Computed Tomography under Sparse-view Reconstruction

All Sparsity Acceleration papers

18 papers, page 1 of 1

1. ICML 2024Accelerating Transformer Pre-training with 2:4 Sparsity
2. ICML 2024Better Locally Private Sparse Estimation Given Multiple Samples Per User
3. ICML 2024Block Acceleration Without Momentum: On Optimal Stepsizes of Block Gradient Descent for Least-Squares
4. ICML 2024Distributional Bellman Operators over Mean Embeddings
5. ICML 2024Diversified Batch Selection for Training Acceleration
6. ICML 2024Enhancing Adversarial Robustness in SNNs with Sparse Gradients
7. ICML 2024Exploring the Benefit of Activation Sparsity in Pre-training
8. ICML 2024High-dimensional Linear Bandits with Knapsacks
9. ICML 2024Outlier Weighed Layerwise Sparsity (OWL): A Missing Secret Sauce for Pruning LLMs to High Sparsity
10. ICML 2024SPADE: Sparsity-Guided Debugging for Deep Neural Networks
11. ICML 2024Sparse Cocktail: Every Sparse Pattern Every Sparse Ratio All At Once
12. ICML 2024Sparse Dimensionality Reduction Revisited
13. ICML 2024Sparse is Enough in Fine-tuning Pre-trained Large Language Models
14. ICML 2024Sparse-IFT: Sparse Iso-FLOP Transformations for Maximizing Training Efficiency
15. ICML 2024Sparser, Better, Deeper, Stronger: Improving Static Sparse Training with Exact Orthogonal Initialization
16. ICML 2024Straight-Through Meets Sparse Recovery: the Support Exploration Algorithm
17. ICML 2024Submodular framework for structured-sparse optimal transport
18. ICML 2024Transformers Provably Learn Sparse Token Selection While Fully-Connected Nets Cannot

FAQ

How many Sparsity Acceleration papers were published at NeurIPS, ICLR, ICML and CVPR from 2023 to 2026?

260 in total: 54 in 2023, 53 in 2024, 64 in 2025, 89 in 2026.

How many Sparsity Acceleration papers are at NeurIPS 2026?

NeurIPS 2026 has 29 Sparsity Acceleration papers, versus 21 the year before.

How many Sparsity Acceleration papers are at ICLR 2026?

ICLR 2026 has 24 Sparsity Acceleration papers, versus 16 the year before.

How many Sparsity Acceleration papers are at ICML 2026?

ICML 2026 has 24 Sparsity Acceleration papers, versus 22 the year before.

How many Sparsity Acceleration papers are at CVPR 2026?

CVPR 2026 has 12 Sparsity Acceleration papers, versus 5 the year before.

Which conference publishes the most Sparsity Acceleration papers?

NeurIPS, with 80 papers from 2023 to 2026.