Tag: Unsupervised Learning

All the articles with the tag "Unsupervised Learning".

• Single-shot prediction of parametric partial differential equations

  Published: 16 May, 2025 |  at  11:13 AM

  

  99.48 🤔

  Flexi-VAE introduces a variational autoencoder framework for single-shot forecasting of parametric PDEs, using a neural propagator to achieve efficient, accurate long-horizon predictions with significant speedups over sequential models like AE-LSTM, as validated on Burgers' and advection-diffusion equations.

• Contaminated Multivariate Time-Series Anomaly Detection with Spatio-Temporal Graph Conditional Diffusion Models

  Published: 16 May, 2025 |  at  11:29 AM

  

  94.27 🤔

  TSAD-C introduces a pioneering unsupervised framework for multivariate time-series anomaly detection on contaminated data, using a Decontaminator with S4-based diffusion, long-range dependency modeling via a time-then-graph approach, and anomaly scoring, achieving state-of-the-art performance across diverse datasets.

• Test-time Correlation Alignment

  Published: 8 May, 2025 |  at  12:21 AM

  

  93.31 🤔

  本文提出测试时相关性对齐（TCA）范式，通过构建伪源域相关性并应用线性变换对齐测试数据特征，显著提升测试时适应（TTA）性能，同时保持高效性和源域知识。

• One-shot Entropy Minimization

  Published: 2 Jun, 2025 |  at  11:33 AM

  

  89.83 🤔

  本文提出一-shot熵最小化（EM）方法，通过仅使用单个无标签数据和10步优化即可显著提升大型语言模型在数学推理任务上的性能，媲美或超越传统强化学习方法。

• Empirical Evaluation of Progressive Coding for Sparse Autoencoders

  Published: 4 May, 2025 |  at  04:33 PM

  

  51.36 🤔

  本文通过实证评估比较了Matryoshka SAEs和基于字典幂律修剪的方法，以实现SAEs的渐进式编码，提高计算效率、重建保真度和可解释性。