ClusterAttention: A training-free speedup of bidirectional attention

arXiv:2608.26965 · cs.LG, cs.CV · Submitted 2026-08-27 · Read on arXiv

cs.LG, cs.CV

Submitted: 2026-08-27

Updated: 2026-09-29

Code: https://github.com/SpoketKasper/ClusterAttention

Terminology

• Clustering — 52× in this paper · explained in 2 episodes
• Sparse Attention — 26× in this paper · explained in 5 episodes
• Transformer — 12× in this paper · explained in 2 episodes
• Cosine Similarity — 10× in this paper · explained in 3 episodes
• Ablation — 8× in this paper · explained in 1 episode
• Sparsity — 8× in this paper · explained in 4 episodes
• Accuracy — 5× in this paper · explained in 1 episode
• Calibration — 3× in this paper · explained in 7 episodes
• Foundation Model — 3× in this paper · explained in 3 episodes
• Benchmark — 2× in this paper · explained in 2 episodes
• Foundation Models — 2× in this paper · explained in 7 episodes
• Quantization — 2× in this paper · explained in 12 episodes
• Adaptive Selection — 1× in this paper · explained in 1 episode
• Core — 1× in this paper · explained in 2 episodes
• Downstream Tasks — 1× in this paper · explained in 2 episodes
• Generative Model — 1× in this paper · explained in 2 episodes
• Generative Models — 1× in this paper · explained in 2 episodes
• Iterative Refinement — 1× in this paper · explained in 3 episodes
• Pruning — 1× in this paper · explained in 4 episodes
• Reinforcement Learning — 1× in this paper · explained in 4 episodes
• Robustness — 1× in this paper · explained in 5 episodes

Sources

• TabPFN-3: Technical Report
• Wan: Open and Advanced Large-Scale Video Generative Models
• Attention Sparsity is Input-Stable: Training-Free Sparse Attention for Video Generation via Offline Sparsity Profiling and Online QK Co-Clustering
• UltraGen: High-Resolution Video Generation with Hierarchical Attention
• HyenaDNA: Long-Range Genomic Sequence Modeling at Single Nucleotide Resolution
• DINOv2: Learning Robust Visual Features without Supervision
• SpargeAttention: Accurate and Training-free Sparse Attention Accelerating Any Model Inference
• Fast Transformers with Clustered Attention
• AdaCluster: Adaptive Query-Key Clustering for Sparse Attention in Video Generation
• Quest: Query-Aware Sparsity for Efficient Long-Context LLM Inference
• A Novel Benchmark for Few-Shot Semantic Segmentation in the Era of Foundation Models
• SageAttention2: Efficient Attention with Thorough Outlier Smoothing and Per-thread INT4 Quantization
• TALENT: A Tabular Analytics and Learning Toolbox
• The Unreasonable Effectiveness of Deep Features as a Perceptual Metric
• DeepSeek-V3.2: Pushing the Frontier of Open Large Language Models
• Multipole Semantic Attention: A Fast Approximation of Softmax Attention for Pretraining
• On the Properties of the Softmax Function with Application in Game Theory and Reinforcement Learning

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