Life-Long Disentangled Representation Learning with Cross-Domain Latent Homologies

20 August 2018

Alessandro Achille

Tom Eccles

Loic Matthey

Christopher P. Burgess

Papers citing "Life-Long Disentangled Representation Learning with Cross-Domain Latent Homologies"

23 / 23 papers shown

Title
Self-Controlled Dynamic Expansion Model for Continual Learning RunQing Wu KaiHui Huang HanYi Zhang Fei Ye CLL VLM 50 0 0 14 Apr 2025
Incrementally Learning Multiple Diverse Data Domains via Multi-Source Dynamic Expansion Model RunQing Wu Fei Ye QiHe Liu Guoxi Huang Jinyu Guo Rongyao Hu CLL 256 0 0 15 Jan 2025
Exploring Continual Learning of Diffusion Models Michal Zajac Kamil Deja Anna Kuzina Jakub M. Tomczak Tomasz Trzciñski Florian Shkurti Piotr Milo's DiffM 35 11 0 27 Mar 2023
A soft nearest-neighbor framework for continual semi-supervised learning Zhiqi Kang Enrico Fini Moin Nabi Elisa Ricci Alahari Karteek SSL BDL CLL 44 17 0 09 Dec 2022
How to Reuse and Compose Knowledge for a Lifetime of Tasks: A Survey on Continual Learning and Functional Composition Jorge Armando Mendez Mendez Eric Eaton KELM CLL 37 27 0 15 Jul 2022
Symmetry-Based Representations for Artificial and Biological General Intelligence I. Higgins S. Racanière Danilo Jimenez Rezende AI4CE 39 44 0 17 Mar 2022
Continual Learning for Multivariate Time Series Tasks with Variable Input Dimensions Vibhor Gupta Jyoti Narwariya Pankaj Malhotra L. Vig Gautam M. Shroff AI4TS 32 20 0 14 Mar 2022
Self-Supervised Models are Continual Learners Enrico Fini Victor G. Turrisi da Costa Xavier Alameda-Pineda Elisa Ricci Alahari Karteek Julien Mairal BDL CLL SSL 55 161 0 08 Dec 2021
Lifelong Infinite Mixture Model Based on Knowledge-Driven Dirichlet Process Fei Ye A. Bors CLL 34 18 0 25 Aug 2021
Lifelong Mixture of Variational Autoencoders Fei Ye A. Bors DRL 24 27 0 09 Jul 2021
Task-agnostic Continual Learning with Hybrid Probabilistic Models Polina Kirichenko Mehrdad Farajtabar Dushyant Rao Balaji Lakshminarayanan Nir Levine Ang Li Huiyi Hu A. Wilson Razvan Pascanu VLM BDL CLL 27 19 0 24 Jun 2021
SPeCiaL: Self-Supervised Pretraining for Continual Learning Lucas Caccia Joelle Pineau CLL SSL 29 18 0 16 Jun 2021
Continual Semantic Segmentation via Repulsion-Attraction of Sparse and Disentangled Latent Representations Umberto Michieli Pietro Zanuttigh CLL 43 138 0 10 Mar 2021
A Wholistic View of Continual Learning with Deep Neural Networks: Forgotten Lessons and the Bridge to Active and Open World Learning Martin Mundt Yongjun Hong Iuliia Pliushch Visvanathan Ramesh CLL 30 146 0 03 Sep 2020
Learning latent representations across multiple data domains using Lifelong VAEGAN Fei Ye A. Bors SyDa CLL 12 65 0 20 Jul 2020
Graph-Based Continual Learning Binh Tang David S. Matteson BDL CLL 34 37 0 09 Jul 2020
BooVAE: Boosting Approach for Continual Learning of VAE Anna Kuzina Evgenii Egorov Evgeny Burnaev CLL 16 24 0 30 Aug 2019
DisCoRL: Continual Reinforcement Learning via Policy Distillation Kalifou René Traoré Hugo Caselles-Dupré Timothée Lesort Te Sun Guanghang Cai Natalia Díaz Rodríguez David Filliat OffRL 32 60 0 11 Jul 2019
Continual Learning for Robotics: Definition, Framework, Learning Strategies, Opportunities and Challenges Timothée Lesort Vincenzo Lomonaco Andrei Stoian Davide Maltoni David Filliat Natalia Díaz Rodríguez CLL 24 248 0 29 Jun 2019
Unsupervised Model Selection for Variational Disentangled Representation Learning Sunny Duan Loic Matthey Andre Saraiva Nicholas Watters Christopher P. Burgess Alexander Lerchner I. Higgins OOD DRL 19 78 0 29 May 2019
The Variational InfoMax AutoEncoder Vincenzo Crescimanna Bruce P. Graham DRL 17 3 0 25 May 2019
Learning Independently-Obtainable Reward Functions Christopher Grimm Satinder Singh 14 4 0 24 Jan 2019
Closed-Loop Memory GAN for Continual Learning A. Rios Laurent Itti BDL VLM 24 22 0 03 Nov 2018