Sparsity Acceleration papers, 2023–2026
Sparse operators
Scope: NeurIPS, ICLR, ICML and CVPR, 2023–2026. 260 papers are tagged with this topic.
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.
Papers per venue
Counts by year and venue
| Year | NeurIPS | ICLR | ICML | CVPR | Total |
|---|---|---|---|---|---|
| 2023 | 10 | 22 | 11 | 11 | 54 |
| 2024 | 20 | 10 | 18 | 5 | 53 |
| 2025 | 21 | 16 | 22 | 5 | 64 |
| 2026 | 29 | 24 | 24 | 12 | 89 |
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 2 of 2
- 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 2023Efficient recurrent architectures through activity sparsity and sparse back-propagation through time
- ICLR 2023Equivariant Hypergraph Diffusion Neural Operators
- ICLR 2023Exponential Generalization Bounds with Near-Optimal Rates for $L_q$-Stable Algorithms
- ICLR 2023Factorized Fourier Neural Operators
- ICLR 2023Implicit Regularization for Group Sparsity
- ICLR 2023Minimalistic Unsupervised Representation Learning with the Sparse Manifold Transform
- ICLR 2023Minimum Variance Unbiased N:M Sparsity for the Neural Gradients
- ICLR 2023MLPInit: Embarrassingly Simple GNN Training Acceleration with MLP Initialization
- ICLR 2023More ConvNets in the 2020s: Scaling up Kernels Beyond 51x51 using Sparsity
- ICLR 2023Pruning Deep Neural Networks from a Sparsity Perspective
- ICLR 2023Rethinking Graph Lottery Tickets: Graph Sparsity Matters
- ICLR 2023Sparse Distributed Memory is a Continual Learner
- ICLR 2023Sparse Random Networks for Communication-Efficient Federated Learning
- ICLR 2023Sparse tree-based Initialization for Neural Networks
- ICLR 2023Sparsity May Cry: Let Us Fail (Current) Sparse Neural Networks Together!
- ICLR 2023Sparsity-Constrained Optimal Transport
- ICLR 2023The Lazy Neuron Phenomenon: On Emergence of Activation Sparsity in Transformers
- ICLR 2023Unmasking the Lottery Ticket Hypothesis: What's Encoded in a Winning Ticket's Mask?
- ICLR 2023Variance-Aware Sparse Linear Bandits
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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.