稀疏加速论文趋势 2023–2026

主要结论

• 稀疏加速论文从 2023 年的 54 篇增长到 2026 年的 89 篇，三年间扩大到约 1.6 倍。
• NeurIPS 是发稀疏加速论文最多的会议，2023–2026 年共 80 篇，占四个会议总量的 31%。
• 交叉方向里涨得最快的是多模态大模型：同时属于两个主题的论文从 2023 年的 0 篇增至 2026 年的 13 篇。
• 在「硬件与编译」的 5 个主题里，它的 2026 年论文数排第 1；同组增长最快的端侧推理是 4.0 倍，稀疏加速是 1.6 倍。

代表论文

按年份和会议均匀挑选，方便快速看到每一届的样貌

• 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

全部稀疏加速论文

共 72 篇，第 2 / 2 页

51. ICLR 2023Accurate Neural Training with 4-bit Matrix Multiplications at Standard Formats
52. ICLR 2023Bit-Pruning: A Sparse Multiplication-Less Dot-Product
53. ICLR 2023Continuized Acceleration for Quasar Convex Functions in Non-Convex Optimization
54. ICLR 2023Efficient recurrent architectures through activity sparsity and sparse back-propagation through time
55. ICLR 2023Equivariant Hypergraph Diffusion Neural Operators
56. ICLR 2023Exponential Generalization Bounds with Near-Optimal Rates for $L_q$-Stable Algorithms
57. ICLR 2023Factorized Fourier Neural Operators
58. ICLR 2023Implicit Regularization for Group Sparsity
59. ICLR 2023Minimalistic Unsupervised Representation Learning with the Sparse Manifold Transform
60. ICLR 2023Minimum Variance Unbiased N:M Sparsity for the Neural Gradients
61. ICLR 2023MLPInit: Embarrassingly Simple GNN Training Acceleration with MLP Initialization
62. ICLR 2023More ConvNets in the 2020s: Scaling up Kernels Beyond 51x51 using Sparsity
63. ICLR 2023Pruning Deep Neural Networks from a Sparsity Perspective
64. ICLR 2023Rethinking Graph Lottery Tickets: Graph Sparsity Matters
65. ICLR 2023Sparse Distributed Memory is a Continual Learner
66. ICLR 2023Sparse Random Networks for Communication-Efficient Federated Learning
67. ICLR 2023Sparse tree-based Initialization for Neural Networks
68. ICLR 2023Sparsity May Cry: Let Us Fail (Current) Sparse Neural Networks Together!
69. ICLR 2023Sparsity-Constrained Optimal Transport
70. ICLR 2023The Lazy Neuron Phenomenon: On Emergence of Activation Sparsity in Transformers
71. ICLR 2023Unmasking the Lottery Ticket Hypothesis: What's Encoded in a Winning Ticket's Mask?
72. ICLR 2023Variance-Aware Sparse Linear Bandits

常见问题

2023–2026 年四大会议一共有多少篇稀疏加速论文？

共 260 篇，按年份分别是 2023 年 54 篇、2024 年 53 篇、2025 年 64 篇、2026 年 89 篇。

NeurIPS 2026 有多少篇稀疏加速论文？

NeurIPS 2026 有 29 篇稀疏加速论文，上一届是 21 篇。

ICLR 2026 有多少篇稀疏加速论文？

ICLR 2026 有 24 篇稀疏加速论文，上一届是 16 篇。

ICML 2026 有多少篇稀疏加速论文？

ICML 2026 有 24 篇稀疏加速论文，上一届是 22 篇。

CVPR 2026 有多少篇稀疏加速论文？

CVPR 2026 有 12 篇稀疏加速论文，上一届是 5 篇。

哪个会议的稀疏加速论文最多？

NeurIPS，2023–2026 年共 80 篇。