DRESS: Disentangled Representation-based Self-Supervised Meta-Learning for Diverse Tasks

12 March 2025

Papers citing "DRESS: Disentangled Representation-based Self-Supervised Meta-Learning for Diverse Tasks"

35 / 35 papers shown

Title
Tripod: Three Complementary Inductive Biases for Disentangled Representation Learning Kyle Hsu Jubayer Ibn Hamid Kaylee Burns Chelsea Finn Jiajun Wu CML 46 5 0 16 Apr 2024
Boosting Few-Shot Learning with Disentangled Self-Supervised Learning and Meta-Learning for Medical Image Classification Eva Pachetti Sotirios A. Tsaftaris Sara Colantonio 88 2 0 26 Mar 2024
Exploring Diffusion Time-steps for Unsupervised Representation Learning Zhongqi Yue Jiankun Wang Qianru Sun Lei Ji E. Chang Hanwang Zhang DiffM 74 24 0 21 Jan 2024
Self-supervised Representation Learning From Random Data Projectors Yi Sui Tongzi Wu Jesse C. Cresswell Ga Wu George Stein Xiao Shi Huang Xiaochen Zhang M. Volkovs 54 10 0 11 Oct 2023
Is Pre-training Truly Better Than Meta-Learning? Brando Miranda P. Yu Saumya Goyal Yu-Xiong Wang Oluwasanmi Koyejo 74 5 0 24 Jun 2023
A Cookbook of Self-Supervised Learning Randall Balestriero Mark Ibrahim Vlad Sobal Ari S. Morcos Shashank Shekhar ... Pierre Fernandez Amir Bar Hamed Pirsiavash Yann LeCun Micah Goldblum SyDa FedML SSL 115 279 0 24 Apr 2023
DINOv2: Learning Robust Visual Features without Supervision Maxime Oquab Timothée Darcet Théo Moutakanni Huy Q. Vo Marc Szafraniec ... Hervé Jégou Julien Mairal Patrick Labatut Armand Joulin Piotr Bojanowski VLM CLIP SSL 284 3,383 0 14 Apr 2023
Object-Centric Slot Diffusion Jindong Jiang Fei Deng Gautam Singh S. Ahn DiffM BDL OCL 72 61 0 20 Mar 2023
Unsupervised Meta-Learning via Few-shot Pseudo-supervised Contrastive Learning Huiwon Jang Hankook Lee Jinwoo Shin VLM SSL 68 18 0 02 Mar 2023
DisDiff: Unsupervised Disentanglement of Diffusion Probabilistic Models Tao Yang Yuwang Wang Yan Lv Nanning Zh DiffM 76 24 0 31 Jan 2023
The Curse of Low Task Diversity: On the Failure of Transfer Learning to Outperform MAML and Their Empirical Equivalence Brando Miranda P. Yu Yu-Xiong Wang Oluwasanmi Koyejo 69 10 0 02 Aug 2022
The Effect of Diversity in Meta-Learning Ramnath Kumar T. Deleu Yoshua Bengio 47 13 0 27 Jan 2022
Illiterate DALL-E Learns to Compose Gautam Singh Fei Deng Sungjin Ahn CoGe OCL 100 139 0 17 Oct 2021
Omni-Training: Bridging Pre-Training and Meta-Training for Few-Shot Learning Yang Shu Zhangjie Cao Jing Gao Jianmin Wang Philip S. Yu Mingsheng Long 80 11 0 14 Oct 2021
Online Hyperparameter Meta-Learning with Hypergradient Distillation Haebeom Lee Hayeon Lee Jaewoong Shin Eunho Yang Timothy M. Hospedales Sung Ju Hwang DD 81 2 0 06 Oct 2021
Self-Supervised Learning with Data Augmentations Provably Isolates Content from Style Julius von Kügelgen Yash Sharma Luigi Gresele Wieland Brendel Bernhard Schölkopf M. Besserve Francesco Locatello 91 314 0 08 Jun 2021
Partial Is Better Than All: Revisiting Fine-tuning Strategy for Few-shot Learning Zhiqiang Shen Zechun Liu Jie Qin Marios Savvides Kwang-Ting Cheng CLL 49 160 0 08 Feb 2021
Object-Centric Learning with Slot Attention Francesco Locatello Dirk Weissenborn Thomas Unterthiner Aravindh Mahendran G. Heigold Jakob Uszkoreit Alexey Dosovitskiy Thomas Kipf OCL 214 845 0 26 Jun 2020
Unsupervised Meta-Learning through Latent-Space Interpolation in Generative Models Siavash Khodadadeh Sharare Zehtabian Saeed Vahidian Weijia Wang Bill Lin Ladislau Bölöni 34 36 0 18 Jun 2020
Decision-Making with Auto-Encoding Variational Bayes Romain Lopez Pierre Boyeau Nir Yosef Michael I. Jordan Jeffrey Regier BDL 365 10,591 0 17 Feb 2020
A Simple Framework for Contrastive Learning of Visual Representations Ting-Li Chen Simon Kornblith Mohammad Norouzi Geoffrey E. Hinton SSL 343 18,739 0 13 Feb 2020
On the Transfer of Inductive Bias from Simulation to the Real World: a New Disentanglement Dataset Muhammad Waleed Gondal Manuel Wüthrich Ðorðe Miladinovic Francesco Locatello M. Breidt V. Volchkov J. Akpo Olivier Bachem Bernhard Schölkopf Stefan Bauer OOD DRL 87 138 0 07 Jun 2019
Assume, Augment and Learn: Unsupervised Few-Shot Meta-Learning via Random Labels and Data Augmentation Antreas Antoniou Amos Storkey SSL 63 75 0 26 Feb 2019
Task2Vec: Task Embedding for Meta-Learning Alessandro Achille Michael Lam Rahul Tewari Avinash Ravichandran Subhransu Maji Charless C. Fowlkes Stefano Soatto Pietro Perona SSL 75 314 0 10 Feb 2019
Unsupervised Meta-Learning For Few-Shot Image Classification Siavash Khodadadeh Ladislau Bölöni M. Shah SSL VLM 47 140 0 28 Nov 2018
Unsupervised Learning via Meta-Learning Kyle Hsu Sergey Levine Chelsea Finn SSL OffRL 75 230 0 04 Oct 2018
Deep Clustering for Unsupervised Learning of Visual Features Mathilde Caron Piotr Bojanowski Armand Joulin Matthijs Douze SSL 88 1,894 0 15 Jul 2018
Meta-learning with differentiable closed-form solvers Luca Bertinetto João F. Henriques Philip Torr Andrea Vedaldi ODL 82 930 0 21 May 2018
Taskonomy: Disentangling Task Transfer Learning Amir Zamir Alexander Sax Bokui (William) Shen Leonidas Guibas Jitendra Malik Silvio Savarese 118 1,217 0 23 Apr 2018
Disentangling by Factorising Hyunjik Kim A. Mnih CoGe OOD 62 1,348 0 16 Feb 2018
Prototypical Networks for Few-shot Learning Jake C. Snell Kevin Swersky R. Zemel 289 8,129 0 15 Mar 2017
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 806 11,894 0 09 Mar 2017
Matching Networks for One Shot Learning Oriol Vinyals Charles Blundell Timothy Lillicrap Koray Kavukcuoglu Daan Wierstra VLM 355 7,316 0 13 Jun 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.2K 193,814 0 10 Dec 2015
Deep Learning Face Attributes in the Wild Ziwei Liu Ping Luo Xiaogang Wang Xiaoou Tang CVBM 230 8,401 0 28 Nov 2014