Exploring Simple Siamese Representation Learning

20 November 2020

Papers citing "Exploring Simple Siamese Representation Learning"

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Title
Multiple Instance Learning via Iterative Self-Paced Supervised Contrastive Learning Kangning Liu Weicheng Zhu Yiqiu Shen Sheng Liu N. Razavian Krzysztof J. Geras C. Fernandez‐Granda SSL 33 25 0 17 Oct 2022
Non-Contrastive Learning Meets Language-Image Pre-Training Jinghao Zhou Li Dong Zhe Gan Lijuan Wang Furu Wei VLM CLIP 25 26 0 17 Oct 2022
Self-Supervised Learning Through Efference Copies Franz Scherr Qinghai Guo Timoleon Moraitis 29 10 0 17 Oct 2022
Mars: Modeling Context & State Representations with Contrastive Learning for End-to-End Task-Oriented Dialog Haipeng Sun Junwei Bao Youzheng Wu Xiaodong He 42 12 0 17 Oct 2022
Learning Self-Regularized Adversarial Views for Self-Supervised Vision Transformers Tao Tang Changlin Li Guangrun Wang Kaicheng Yu Xiaojun Chang Xiaodan Liang ViT 38 1 0 16 Oct 2022
How Mask Matters: Towards Theoretical Understandings of Masked Autoencoders Qi Zhang Yifei Wang Yisen Wang 28 73 0 15 Oct 2022
Improving generalizability of distilled self-supervised speech processing models under distorted settings Kuan-Po Huang Yu-Kuan Fu Tsung-Yuan Hsu Fabian Ritter-Gutierrez Fan Wang Liang-Hsuan Tseng Yu Zhang Hung-yi Lee 37 14 0 14 Oct 2022
Fine-grained Category Discovery under Coarse-grained supervision with Hierarchical Weighted Self-contrastive Learning Wenbin An Feng Tian Ping Chen Siliang Tang Qinghua Zheng Qianying Wang 45 17 0 14 Oct 2022
Learning image representations for anomaly detection: application to discovery of histological alterations in drug development I. Zingman B. Stierstorfer C. Lempp Fabian Heinemann OOD MedIm 34 11 0 14 Oct 2022
Is synthetic data from generative models ready for image recognition? Ruifei He Shuyang Sun Xin Yu Chuhui Xue Wenqing Zhang Philip Torr Song Bai Xiaojuan Qi 55 290 0 14 Oct 2022
TractoSCR: A Novel Supervised Contrastive Regression Framework for Prediction of Neurocognitive Measures Using Multi-Site Harmonized Diffusion MRI Tractography Tengfei Xue Fan Zhang L. Zekelman Chaoyi Zhang Yuqian Chen ... W. Wells Yogesh Rathi N. Makris Weidong Cai L. O’Donnell 38 5 0 13 Oct 2022
A Relational Macrostate Theory Guides Artificial Intelligence to Learn Macro and Design Micro Yanbo Zhang S. Walker AI4CE 11 0 0 13 Oct 2022
An Embarrassingly Simple Backdoor Attack on Self-supervised Learning Changjiang Li Ren Pang Zhaohan Xi Tianyu Du S. Ji Yuan Yao Ting Wang AAML 41 25 0 13 Oct 2022
LEAVES: Learning Views for Time-Series Data in Contrastive Learning Han Yu Huiyuan Yang Akane Sano AI4TS 35 5 0 13 Oct 2022
The Hidden Uniform Cluster Prior in Self-Supervised Learning Mahmoud Assran Randall Balestriero Quentin Duval Florian Bordes Ishan Misra Piotr Bojanowski Pascal Vincent Michael G. Rabbat Nicolas Ballas SSL 52 47 0 13 Oct 2022
Self-Attention Message Passing for Contrastive Few-Shot Learning Ojas Kishorkumar Shirekar Ashutosh Kumar Singh Hadi Jamali Rad 31 5 0 12 Oct 2022
Deep Active Ensemble Sampling For Image Classification S. Mohamadi Gianfranco Doretto Donald Adjeroh UQCV 26 9 0 11 Oct 2022
Match Cutting: Finding Cuts with Smooth Visual Transitions Boris Chen Amir Ziai Rebecca Tucker Yuchen Xie VGen 36 14 0 11 Oct 2022
The Unreasonable Effectiveness of Fully-Connected Layers for Low-Data Regimes Peter Kocsis Peter Súkeník Guillem Brasó Matthias Nießner Laura Leal-Taixé Ismail Elezi 16 7 0 11 Oct 2022
OPERA: Omni-Supervised Representation Learning with Hierarchical Supervisions Cheng-Hao Wang Wenzhao Zheng Zhengbiao Zhu Jie Zhou Jiwen Lu SSL AI4TS 58 4 0 11 Oct 2022
Self-supervised debiasing using low rank regularization Geon Yeong Park Chanyong Jung Sangmin Lee Jong Chul Ye Sang Wan Lee CML SSL 41 3 0 11 Oct 2022
Meta-Learning with Self-Improving Momentum Target Jihoon Tack Jongjin Park Hankook Lee Jaeho Lee Jinwoo Shin LRM 68 12 0 11 Oct 2022
Pre-Training Representations of Binary Code Using Contrastive Learning Yifan Zhang Chen Huang Yueke Zhang Kevin Cao Scott Thomas Andersen Huajie Shao Kevin Leach Yu Huang 66 2 0 11 Oct 2022
Self-supervised Learning for Label-Efficient Sleep Stage Classification: A Comprehensive Evaluation Emadeldeen Eldele Mohamed Ragab Zhenghua Chen Min-man Wu C. Kwoh Xiaoli Li 23 23 0 10 Oct 2022
HiCo: Hierarchical Contrastive Learning for Ultrasound Video Model Pretraining Chunhui Zhang Yixiong Chen Li Liu Qiong Liu Xiaoping Zhou VLM 50 8 0 10 Oct 2022
Dual-distribution discrepancy with self-supervised refinement for anomaly detection in medical images Yu Cai Hao Chen Xin Yang Yu Zhou Kwang-Ting Cheng 33 45 0 09 Oct 2022
Grow and Merge: A Unified Framework for Continuous Categories Discovery Xinwei Zhang Jianwen Jiang Yutong Feng Zhi-Fan Wu Xibin Zhao Hai Wan Mingqian Tang Rong Jin Yue Gao CLL 49 29 0 09 Oct 2022
VoLTA: Vision-Language Transformer with Weakly-Supervised Local-Feature Alignment Shraman Pramanick Li Jing Sayan Nag Jiachen Zhu Hardik Shah Yann LeCun Ramalingam Chellappa 34 21 0 09 Oct 2022
Robustness of Unsupervised Representation Learning without Labels Aleksandar Petrov Marta Z. Kwiatkowska OffRL 60 2 0 08 Oct 2022
SVL-Adapter: Self-Supervised Adapter for Vision-Language Pretrained Models Omiros Pantazis Gabriel J. Brostow Kate E. Jones Oisin Mac Aodha VLM 36 40 0 07 Oct 2022
Unsupervised Few-shot Learning via Deep Laplacian Eigenmaps Kuilin Chen Chi-Guhn Lee SSL 40 3 0 07 Oct 2022
Temporal Feature Alignment in Contrastive Self-Supervised Learning for Human Activity Recognition Bulat Khaertdinov S. Asteriadis 42 8 0 07 Oct 2022
Data Augmentation-free Unsupervised Learning for 3D Point Cloud Understanding Guofeng Mei Cristiano Saltori Fabio Poiesi Jian Zhang Elisa Ricci N. Sebe Qiang Wu 3DPC 64 5 0 06 Oct 2022
Domain Generalization via Contrastive Causal Learning Qiaowei Miao Junkun Yuan Kun Kuang BDL OOD 46 12 0 06 Oct 2022
RankMe: Assessing the downstream performance of pretrained self-supervised representations by their rank Q. Garrido Randall Balestriero Laurent Najman Yann LeCun SSL 68 76 0 05 Oct 2022
Exploring The Role of Mean Teachers in Self-supervised Masked Auto-Encoders Youngwan Lee Jeffrey Willette Jonghee Kim Juho Lee Sung Ju Hwang 34 16 0 05 Oct 2022
Self-supervised Pre-training for Semantic Segmentation in an Indoor Scene Sulabh Shrestha Yimeng Li Jana Kosecka 3DPC SSL SSeg 51 2 0 04 Oct 2022
VICRegL: Self-Supervised Learning of Local Visual Features Adrien Bardes Jean Ponce Yann LeCun SSL 23 120 0 04 Oct 2022
Attention Distillation: self-supervised vision transformer students need more guidance Kai Wang Fei Yang Joost van de Weijer ViT 30 16 0 03 Oct 2022
Masked Supervised Learning for Semantic Segmentation H. Zunair A. Ben Hamza 28 6 0 03 Oct 2022
Learning Equivariant Segmentation with Instance-Unique Querying Wenguan Wang James Liang Dongfang Liu ISeg 48 48 0 03 Oct 2022
Self-omics: A Self-supervised Learning Framework for Multi-omics Cancer Data S. Hashim Karthik Nandakumar Mohammad Yaqub SyDa 27 4 0 03 Oct 2022
Multipod Convolutional Network Hongyi Pan S. Atici Ahmet Enis Cetin 22 2 0 03 Oct 2022
What shapes the loss landscape of self-supervised learning? Liu Ziyin Ekdeep Singh Lubana Masakuni Ueda Hidenori Tanaka 52 20 0 02 Oct 2022
Contrastive Corpus Attribution for Explaining Representations Christy Lin Hugh Chen Chanwoo Kim Su-In Lee SSL 27 8 0 30 Sep 2022
Federated Training of Dual Encoding Models on Small Non-IID Client Datasets Raviteja Vemulapalli Warren Morningstar Philip Mansfield Hubert Eichner K. Singhal Arash Afkanpour Bradley Green FedML 50 2 0 30 Sep 2022
Slimmable Networks for Contrastive Self-supervised Learning Shuai Zhao Xiaohan Wang Linchao Zhu Yi Yang 40 1 0 30 Sep 2022
Minimalistic Unsupervised Learning with the Sparse Manifold Transform Yubei Chen Zeyu Yun Yi Ma Bruno A. Olshausen Yann LeCun 59 8 0 30 Sep 2022
Dual Progressive Transformations for Weakly Supervised Semantic Segmentation Dong Huo Yukun Su Qingyao Wu ViT 45 4 0 30 Sep 2022
Self-Distillation for Further Pre-training of Transformers Seanie Lee Minki Kang Juho Lee Sung Ju Hwang Kenji Kawaguchi 60 8 0 30 Sep 2022