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

72 papers, page 1 of 2

1. ICLR 2026Composable Sparse Subnetworks via Maximum-Entropy Principle
2. ICLR 2026DIFFSPARSE: ACCELERATING DIFFUSION TRANSFORMERS WITH LEARNED TOKEN SPARSITY
3. ICLR 2026DirMoE: Dirichlet-Routed Mixture of Experts
4. ICLR 2026Doloris: Dual Conditional Diffusion Implicit Bridges with Sparsity Masking Strategy for Unpaired Single-Cell Perturbation Estimation
5. ICLR 2026DSA: Efficient Inference For Video Generation Models via Distributed Sparse Attention
6. ICLR 2026FASA: FREQUENCY-AWARE SPARSE ATTENTION
7. ICLR 2026Hilbert-Guided Sparse Local Attention
8. ICLR 2026Identifiability Challenges in Sparse Linear Ordinary Differential Equations
9. ICLR 2026Implicit Sensing for Fourier Sparse Boolean Functions
10. ICLR 2026Learning Semi-Structured Sparsity for LLMs via Shared and Context-Aware Hypernetwork
11. ICLR 2026LeSTD: LLM Compression via Learning-based Sparse Tensor Decomposition
12. ICLR 2026MaskPro: Linear-Space Probabilistic Learning for Strict (N:M)-Sparsity on LLMs
13. ICLR 2026Mitigating Non-IID Drift in Zeroth-Order Federated LLM Fine-Tuning with Transferable Sparsity
14. ICLR 2026Nasty Adversarial Training: A Probability Sparsity Perspective for Robustness Enhancement
15. ICLR 2026OrderDP: A Theoretically Guaranteed Lossless Dynamic Data Pruning Framework
16. ICLR 2026RAPID$^3$: Tri-Level Reinforced Acceleration Policies for Diffusion Transformer
17. ICLR 2026Robust Training of Neural Networks at Arbitrary Precision and Sparsity
18. ICLR 2026Scaling Attention via Feature Sparsity
19. ICLR 2026SERE: Similarity-based Expert Re-routing for Efficient Batch Decoding in MoE Models
20. ICLR 2026SLA: Beyond Sparsity in Diffusion Transformers via Fine-Tunable Sparse–Linear Attention
21. ICLR 2026Sparling: End-to-End Spatial Concept Learning via Extremely Sparse Activations
22. ICLR 2026Sparsity Forcing: Reinforcing Token Sparsity of MLLMs
23. ICLR 2026Universal Properties of Activation Sparsity in Modern Large Language Models
24. ICLR 2026vAttention: Verified Sparse Attention via Sampling
25. ICLR 2025Beyond Worst-Case Dimensionality Reduction for Sparse Vectors
26. ICLR 2025Deep Weight Factorization: Sparse Learning Through the Lens of Artificial Symmetries
27. ICLR 2025DPaI: Differentiable Pruning at Initialization with Node-Path Balance Principle
28. ICLR 2025Dynamic Low-Rank Sparse Adaptation for Large Language Models
29. ICLR 2025Efficient Sparse PCA via Block-Diagonalization
30. ICLR 2025From Sparse Dependence to Sparse Attention: Unveiling How Chain-of-Thought Enhances Transformer Sample Efficiency
31. ICLR 2025Misspecified $Q$-Learning with Sparse Linear Function Approximation: Tight Bounds on Approximation Error
32. ICLR 2025R-Sparse: Rank-Aware Activation Sparsity for Efficient LLM Inference
33. ICLR 2025ReMoE: Fully Differentiable Mixture-of-Experts with ReLU Routing
34. ICLR 2025RTop-K: Ultra-Fast Row-Wise Top-K Selection for Neural Network Acceleration on GPUs
35. ICLR 2025Schur's Positive-Definite Network: Deep Learning in the SPD cone with structure
36. ICLR 2025Semantic Aware Representation Learning for Lifelong Learning
37. ICLR 2025Training-Free Activation Sparsity in Large Language Models
38. ICLR 2025Two Sparse Matrices are Better than One: Sparsifying Neural Networks with Double Sparse Factorization
39. ICLR 2025VL-Cache: Sparsity and Modality-Aware KV Cache Compression for Vision-Language Model Inference Acceleration
40. ICLR 2025Zeroth-Order Fine-Tuning of LLMs with Transferable Static Sparsity
41. ICLR 2024Adaptive Sharpness-Aware Pruning for Robust Sparse Networks
42. ICLR 2024Balancing Act: Constraining Disparate Impact in Sparse Models
43. ICLR 2024DEEP NEURAL NETWORK INITIALIZATION WITH SPARSITY INDUCING ACTIVATIONS
44. ICLR 2024Dynamic Sparse No Training: Training-Free Fine-tuning for Sparse LLMs
45. ICLR 2024Dynamic Sparse Training with Structured Sparsity
46. ICLR 2024ReLU Strikes Back: Exploiting Activation Sparsity in Large Language Models
47. ICLR 2024SAS: Structured Activation Sparsification
48. ICLR 2024Sparsistency for inverse optimal transport
49. ICLR 2024SpQR: A Sparse-Quantized Representation for Near-Lossless LLM Weight Compression
50. ICLR 2024Training Bayesian Neural Networks with Sparse Subspace Variational Inference

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.