Improving Transferability of Representations via Augmentation-Aware Self-Supervision

18 November 2021

Papers citing "Improving Transferability of Representations via Augmentation-Aware Self-Supervision"

42 / 42 papers shown

Title
seq-JEPA: Autoregressive Predictive Learning of Invariant-Equivariant World Models Hafez Ghaemi Eilif Muller Shahab Bakhtiari 54 0 0 06 May 2025
A Theoretical Framework for Preventing Class Collapse in Supervised Contrastive Learning Chungpa Lee Jeongheon Oh Kibok Lee Jy-yong Sohn SSL 94 1 0 11 Mar 2025
A Generalized Theory of Mixup for Structure-Preserving Synthetic Data Chungpa Lee Jongho Im Joseph H.T. Kim 44 0 0 03 Mar 2025
Self-supervised Transformation Learning for Equivariant Representations Jaemyung Yu Jaehyun Choi Dong-Jae Lee H. Hong Junmo Kim 45 0 0 15 Jan 2025
Beyond [cls]: Exploring the true potential of Masked Image Modeling representations Marcin Przewiȩźlikowski Randall Balestriero Wojciech Jasiński Marek 'Smieja Bartosz Zieliñski 69 0 0 04 Dec 2024
Understanding the Role of Equivariance in Self-supervised Learning Yifei Wang Kaiwen Hu Sharut Gupta Ziyu Ye Yisen Wang Stefanie Jegelka SSL 47 2 0 10 Nov 2024
PseudoNeg-MAE: Self-Supervised Point Cloud Learning using Conditional Pseudo-Negative Embeddings Sutharsan Mahendren Saimunur Rahman Piotr Koniusz Tharindu Fernando Sridha Sridharan Clinton Fookes Peyman Moghadam 3DPC 36 0 0 24 Sep 2024
On Learning Discriminative Features from Synthesized Data for Self-Supervised Fine-Grained Visual Recognition Zihu Wang Lingqiao Liu Scott Ricardo Figueroa Weston Samuel Tian Peng Li 33 2 0 19 Jul 2024
Self-supervised visual learning from interactions with objects A. Aubret Céline Teulière Jochen Triesch 55 5 0 09 Jul 2024
InfoNCE: Identifying the Gap Between Theory and Practice E. Rusak Patrik Reizinger Attila Juhos Oliver Bringmann Roland S. Zimmermann Wieland Brendel 35 5 0 28 Jun 2024
On the Effectiveness of Supervision in Asymmetric Non-Contrastive Learning Jeongheon Oh Kibok Lee SSL 37 1 0 16 Jun 2024
A deep cut into Split Federated Self-supervised Learning Marcin Przewiȩźlikowski Marcin Osial Bartosz Zieliñski Marek 'Smieja FedML 40 0 0 12 Jun 2024
Contrastive Learning Via Equivariant Representation Sifan Song Jinfeng Wang Qiaochu Zhao Xiang Li Dufan Wu Angelos Stefanidis Jionglong Su S. Kevin Zhou Quanzheng Li 33 1 0 01 Jun 2024
In-Context Symmetries: Self-Supervised Learning through Contextual World Models Sharut Gupta Chenyu Wang Yifei Wang Tommi Jaakkola Stefanie Jegelka 40 1 0 28 May 2024
Capsule Network Projectors are Equivariant and Invariant Learners Miles Everett A. Durrant Mingjun Zhong Georgios Leontidis SSL 3DPC 47 2 0 23 May 2024
EquiAV: Leveraging Equivariance for Audio-Visual Contrastive Learning Jongsuk Kim Hyeongkeun Lee Kyeongha Rho Junmo Kim Joon Son Chung 34 4 0 14 Mar 2024
Disentangling the Effects of Data Augmentation and Format Transform in Self-Supervised Learning of Image Representations N. Kalibhat Warren Morningstar Alex Bijamov Luyang Liu Karan Singhal Philip Mansfield 33 2 0 02 Dec 2023
SASSL: Enhancing Self-Supervised Learning via Neural Style Transfer Renan A. Rojas-Gomez Karan Singhal Ali Etemad Alex Bijamov Warren Morningstar Philip Mansfield 21 1 0 02 Dec 2023
Self-Supervised Disentanglement by Leveraging Structure in Data Augmentations Cian Eastwood Julius von Kügelgen Linus Ericsson Diane Bouchacourt Pascal Vincent Bernhard Schölkopf Mark Ibrahim 36 10 0 15 Nov 2023
Towards the Sparseness of Projection Head in Self-Supervised Learning Changwen Zheng Xingzhe Su Wenwen Qiang Jingyao Wang Changwen Zheng Gang Hua 36 3 0 18 Jul 2023
DUET: 2D Structured and Approximately Equivariant Representations Xavier Suau Federico Danieli Thomas Anderson Keller Arno Blaas Chen Huang Jason Ramapuram Dan Busbridge Luca Zappella 27 3 0 28 Jun 2023
Augmentation-aware Self-supervised Learning with Conditioned Projector Marcin Przewike'zlikowski Mateusz Pyla Bartosz Zieliñski Bartlomiej Twardowski Jacek Tabor Marek Śmieja SSL 37 2 0 31 May 2023
MT-SLVR: Multi-Task Self-Supervised Learning for Transformation In(Variant) Representations Calum Heggan Timothy M. Hospedales S. Budgett Mehrdad Yaghoobi SSL 30 5 0 29 May 2023
MAST: Masked Augmentation Subspace Training for Generalizable Self-Supervised Priors Chen Huang Hanlin Goh Jiatao Gu J. Susskind SSL OOD 52 6 0 07 Mar 2023
STUNT: Few-shot Tabular Learning with Self-generated Tasks from Unlabeled Tables Jaehyun Nam Jihoon Tack Kyungmin Lee Hankook Lee Jinwoo Shin LMTD SSL 21 31 0 02 Mar 2023
Amortised Invariance Learning for Contrastive Self-Supervision Ruchika Chavhan Henry Gouk Jan Stuehmer Calum Heggan Mehrdad Yaghoobi Timothy M. Hospedales SSL 40 11 0 24 Feb 2023
Self-supervised learning of Split Invariant Equivariant representations Q. Garrido Laurent Najman Yann LeCun SSL 32 32 0 14 Feb 2023
Contrastive Learning with Consistent Representations Zihu Wang Yu Wang Hanbin Hu Peng Li CLL 29 5 0 03 Feb 2023
Robust Perception through Equivariance Chengzhi Mao Lingyu Zhang Abhishek Joshi Junfeng Yang Hongya Wang Carl Vondrick BDL AAML 29 7 0 12 Dec 2022
Self-Supervised Learning via Maximum Entropy Coding Xin Liu Zhongdao Wang Yali Li Shengjin Wang SSL 26 40 0 20 Oct 2022
Self-Supervised Learning Through Efference Copies Franz Scherr Qinghai Guo Timoleon Moraitis 24 10 0 17 Oct 2022
Hebbian Deep Learning Without Feedback Adrien Journé Hector Garcia Rodriguez Qinghai Guo Timoleon Moraitis AAML 28 48 0 23 Sep 2022
Self-Supervised Learning with an Information Maximization Criterion Serdar Ozsoy Shadi S. Hamdan Sercan Ö. Arik Deniz Yuret A. Erdogan SSL 21 35 0 16 Sep 2022
Does Self-supervised Learning Really Improve Reinforcement Learning from Pixels? Xiang Li Jinghuan Shang Srijan Das Michael S. Ryoo SSL 27 31 0 10 Jun 2022
Augmentation-Aware Self-Supervision for Data-Efficient GAN Training Liang Hou Qi Cao Yige Yuan Songtao Zhao Chongyang Ma Siyuan Pan Pengfei Wan Xiaoshuang Li Huawei Shen Xueqi Cheng 23 7 0 31 May 2022
Leverage Your Local and Global Representations: A New Self-Supervised Learning Strategy Tong Zhang Congpei Qiu Wei Ke Sabine Süsstrunk Mathieu Salzmann SSL 19 36 0 31 Mar 2022
Learning Self-Supervised Low-Rank Network for Single-Stage Weakly and Semi-Supervised Semantic Segmentation Junwen Pan Pengfei Zhu Kaihua Zhang Bing Cao Yu Wang Dingwen Zhang Junwei Han Q. Hu 21 60 0 19 Mar 2022
Why Do Self-Supervised Models Transfer? Investigating the Impact of Invariance on Downstream Tasks Linus Ericsson Henry Gouk Timothy M. Hospedales SSL 16 15 0 22 Nov 2021
SEED: Self-supervised Distillation For Visual Representation Zhiyuan Fang Jianfeng Wang Lijuan Wang Lei Zhang Yezhou Yang Zicheng Liu SSL 245 190 0 12 Jan 2021
Self-supervised Co-training for Video Representation Learning Tengda Han Weidi Xie Andrew Zisserman SSL 215 309 0 19 Oct 2020
Decoupling Representation Learning from Reinforcement Learning Adam Stooke Kimin Lee Pieter Abbeel Michael Laskin SSL DRL 284 341 0 14 Sep 2020
Improved Baselines with Momentum Contrastive Learning Xinlei Chen Haoqi Fan Ross B. Girshick Kaiming He SSL 270 3,375 0 09 Mar 2020