Posts
All the articles I've posted.
Phi: Leveraging Pattern-based Hierarchical Sparsity for High-Efficiency Spiking Neural Networks
Published: at 17:45ISCA 2025, 基于结构化稀疏的SNN加速器。如果直接用LUT存,可能会出现需要保存的稀疏pattern数量太多,显存占用太严重,所以通过预先校准一级“结构化稀疏”,将Online Spike Activation变成一级可以完全用LUT算的L1 Sparse和稀疏度非常高的L2 Sparse。模仿一下idea搬到GPU上来做?
Temporal Flexibility in Spiking Neural Networks: Towards Generalization Across Time Steps and Deployment Friendliness
Published: at 15:38ICLR2025 Poster,似乎也在做Elastic inference?
A Simple Framework for Contrastive Learning of Visual Representations
Published: at 13:42对比学习SimCLR的论文。对比学习能对齐每一层的Feature吗?
QKFormer: Hierarchical Spiking Transformer using Q-K Attention
Published: at 18:09QKFormer,NIPS2024 Spotlight,把Direct Training SNN在ImageNet和CIFAR上的点刷的特别高,感觉之后要做就避不开它。
Transformers without Normalization
Published: at 16:09何恺明新作,用DyT代替Norm,把同步操作变成了Element Wise的操作。新文章里面有用到,学习一下。
Visualizing and Understanding the Effectiveness of BERT
Published: at 10:21最近做SNN训练的过程中在研究怎么可视化训练过程中的Loss,在想新加入的方法会不会对模型的Loss Landscape有影响,一般讲Loss Landscape怎么做可视化的文章都会引用这篇文章对Loss Landscape的分析和做法。
One-Minute Video Generation with Test-Time Training
Published: at 18:17最近Demo很火的TTT视频生成,可以生成60s级别的长视频。学习一下TTT的东西,SNN的On-Chip Learning和TTT能不能做结合?
Evolution Strategies as a Scalable Alternative to Reinforcement Learning
Published: at 16:40这两天在弄SNN训练的事情,需要验证一下用的Surrogate Gradient的准确性,老师介绍读一下这篇文章,用Evolution Strategy验证一下现在梯度估计的准确性。
SparTA: Deep-Learning Model Sparsity via Tensor-with-Sparsity-Attribute
Published: at 11:06sparTA,带稀疏优化的DNN编译器,把tensor的稀疏性作为一种重要属性考虑到编译过程中,生成高效的代码。
Scalable Diffusion Models with Transformers
Published: at 16:29Diffusion Transformer.