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

24 papers, page 1 of 1

1. ICML 2026AdaSplash-2: Faster Differentiable Sparse Attention
2. ICML 2026An Evidential Route to Asymptotic Bayes Optimality under Sparsity
3. ICML 2026AsyncSpade: Efficient Test-Time Scaling with Asynchronous Sparse Decoding
4. ICML 2026Attention Sparsity is Input-Stable: Training-Free Sparse Attention for Video Generation via Offline Sparsity Profiling and Online QK Co-Clustering
5. ICML 2026Column Thresholding for Sparse Spiked Wigner Models: Improved Signal Strength Requirements
6. ICML 2026DC-Leap: Training-Free Acceleration of dLLMs via Draft-Guided Contiguous Leaping Decoding
7. ICML 2026Elastic Attention: Test-time Adaptive Sparsity Ratios for Efficient Transformers
8. ICML 2026Faster Than Flash: Exploiting Attention Sparsity for Efficient Long-Context Decoding
9. ICML 2026FlashSketch: Sketch-Kernel Co-Design for Fast Sparse Sketching on GPUs
10. ICML 2026HASTE: Hardware-Aware Dynamic Sparse Training for Large Output Spaces
11. ICML 2026Incremental Learning of Sparse Attention Patterns in Transformers
12. ICML 2026Lie-Algebraic Acceleration of Neural Koopman Dynamics
13. ICML 2026MACKO: Sparse matrix-vector multiplication for low sparsity
14. ICML 2026Memory-Efficient LLM Training with Dynamic Sparsity: From Stability to Practical Scaling
15. ICML 2026Narrowing the ANN–SNN Gap for Continuous 1D Temporal Signal Classification with Multi-Scale Temporal Encoding and Sparsity-Regularized Transform Encoding
16. ICML 2026Prism: Spectral-Aware Block-Sparse Attention
17. ICML 2026RSTR: Reducing SpatioTemporal Redundancy in Diffusion Transformers
18. ICML 2026RT-Lynx: Putting the GEMM Sparsity In a Right Way for Diffusion Models
19. ICML 2026Size Transferability of Graph Convolutional Networks across Sparsity: A Generalized Graphon Perspective
20. ICML 2026SlideSparse: Fast and Flexible (2N-2):2N Structured Sparsity
21. ICML 2026SparseOpt: Addressing Normalization-induced Gradient Skew in Sparse Training
22. ICML 2026Sparser Block-Sparse Attention via Token Permutation
23. ICML 2026Weight-sparse transformers have interpretable circuits
24. ICML 2026When Does Sparsity Mitigate the Curse of Depth in LLMs

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.