Learning Independent Features with Adversarial Nets for Non-linear ICA

Learning Independent Features with Adversarial Nets for Non-linear ICA

13 October 2017

Philemon Brakel

Papers citing "Learning Independent Features with Adversarial Nets for Non-linear ICA"

11 / 11 papers shown

Title
Novelty Detection in Time Series via Weak Innovations Representation: A Deep Learning Approach Xinyi Wang Mei-jen Lee Qing Zhao Lang Tong BDL AI4TS 23 0 0 24 Oct 2022
Variance Covariance Regularization Enforces Pairwise Independence in Self-Supervised Representations Grégoire Mialon Randall Balestriero Yann LeCun 29 9 0 29 Sep 2022
CLIP-Lite: Information Efficient Visual Representation Learning with Language Supervision A. Shrivastava Ramprasaath R. Selvaraju Nikhil Naik Vicente Ordonez VLM CLIP 25 6 0 14 Dec 2021
PluGeN: Multi-Label Conditional Generation From Pre-Trained Models Maciej Wołczyk Magdalena Proszewska Lukasz Maziarka Maciej Ziȩba Patryk Wielopolski Rafał Kurczab Marek Śmieja DRL 27 5 0 18 Sep 2021
AID-Purifier: A Light Auxiliary Network for Boosting Adversarial Defense Duhun Hwang Eunjung Lee Wonjong Rhee AAML 167 14 0 14 Jul 2021
A Deep Learning Approach to Anomaly Sequence Detection for High-Resolution Monitoring of Power Systems Kursat Rasim Mestav Xinyi Wang Lang Tong AI4TS 15 27 0 09 Dec 2020
CausalVAE: Structured Causal Disentanglement in Variational Autoencoder Mengyue Yang Furui Liu Zhitang Chen Xinwei Shen Jianye Hao Jun Wang OOD CoGe CML 41 44 0 18 Apr 2020
A Critical View of the Structural Causal Model Tomer Galanti Ofir Nabati Lior Wolf CML 21 9 0 23 Feb 2020
Biphasic Learning of GANs for High-Resolution Image-to-Image Translation Jie Cao Huaibo Huang Yi Li Jingtuo Liu R. He Zhenan Sun GAN 24 4 0 14 Apr 2019
Time Series Source Separation using Dynamic Mode Decomposition Arvind Prasadan R. Nadakuditi AI4TS 19 6 0 04 Mar 2019
Relevance Factor VAE: Learning and Identifying Disentangled Factors Minyoung Kim Yuting Wang Pritish Sahu Vladimir Pavlovic CoGe CML DRL 16 38 0 05 Feb 2019