Sample and Predict Your Latent: Modality-free Sequential Disentanglement via Contrastive Estimation

25 May 2023

Papers citing "Sample and Predict Your Latent: Modality-free Sequential Disentanglement via Contrastive Estimation"

8 / 8 papers shown

Title
Analyzing Deep Transformer Models for Time Series Forecasting via Manifold Learning Ilya Kaufman Omri Azencot AI4TS 31 2 0 17 Oct 2024
Sequential Representation Learning via Static-Dynamic Conditional Disentanglement Mathieu Cyrille Simon Pascal Frossard Christophe De Vleeschouwer CoGe CML 33 1 0 10 Aug 2024
Sequential Disentanglement by Extracting Static Information From A Single Sequence Element Nimrod Berman Ilan Naiman Idan Arbiv Gal Fadlon Omri Azencot CoGe 42 4 0 26 Jun 2024
First-Order Manifold Data Augmentation for Regression Learning Ilya Kaufman Omri Azencot 33 3 0 16 Jun 2024
Improving Contrastive Learning by Visualizing Feature Transformation Rui Zhu Bingchen Zhao Jingen Liu Zhenglong Sun Chia-Ju Chen SSL 96 78 0 06 Aug 2021
Disentangled Recurrent Wasserstein Autoencoder Jun Han Martin Renqiang Min Ligong Han Erran L. Li Xuan Zhang CoGe SyDa DRL 27 33 0 19 Jan 2021
Contrastive Representation Learning: A Framework and Review Phúc H. Lê Khắc Graham Healy Alan F. Smeaton SSL AI4TS 184 687 0 10 Oct 2020
Improved Baselines with Momentum Contrastive Learning Xinlei Chen Haoqi Fan Ross B. Girshick Kaiming He SSL 281 3,378 0 09 Mar 2020