Exploring Simple Siamese Representation Learning

20 November 2020

Papers citing "Exploring Simple Siamese Representation Learning"

50 / 2,357 papers shown

Title
Robust Contrastive Learning Using Negative Samples with Diminished Semantics Songwei Ge Shlok Kumar Mishra Haohan Wang Chun-Liang Li David Jacobs SSL 82 71 0 27 Oct 2021
Self-supervised EEG Representation Learning for Automatic Sleep Staging Chaoqi Yang MSc Cao Xiao PhD M Brandon Westover PhD Jimeng Sun SSL 109 24 0 27 Oct 2021
Provable Lifelong Learning of Representations Xinyuan Cao Weiyang Liu Santosh Vempala CLL 71 16 0 27 Oct 2021
Directional Self-supervised Learning for Heavy Image Augmentations Yalong Bai Yifan Yang Wei Zhang Tao Mei 40 20 0 26 Oct 2021
A Prototype-Oriented Framework for Unsupervised Domain Adaptation Korawat Tanwisuth Xinjie Fan Huangjie Zheng Shujian Zhang A. Leon-Garcia Bo Chen Mingyuan Zhou 139 103 0 22 Oct 2021
CLOOB: Modern Hopfield Networks with InfoLOOB Outperform CLIP Andreas Fürst Elisabeth Rumetshofer Johannes Lehner Viet-Hung Tran Fei Tang ... David P. Kreil Michael K Kopp Günter Klambauer Angela Bitto-Nemling Sepp Hochreiter VLM CLIP 314 104 0 21 Oct 2021
Text-Based Person Search with Limited Data Xiaoping Han Sen He Li Zhang Tao Xiang 94 91 0 20 Oct 2021
Learning Rich Nearest Neighbor Representations from Self-supervised Ensembles Bram Wallace Devansh Arpit Huan Wang Caiming Xiong SSL OOD 61 0 0 19 Oct 2021
TLDR: Twin Learning for Dimensionality Reduction Yannis Kalantidis Carlos Lassance Jon Almazán Diane Larlus SSL 63 11 0 18 Oct 2021
Understanding Dimensional Collapse in Contrastive Self-supervised Learning Li Jing Pascal Vincent Yann LeCun Yuandong Tian SSL 124 359 0 18 Oct 2021
DECAR: Deep Clustering for learning general-purpose Audio Representations Sreyan Ghosh Sandesh V Katta Ashish Seth S. Umesh SSL 76 12 0 17 Oct 2021
Unsupervised Representation Learning for Binary Networks by Joint Classifier Learning Dahyun Kim Jonghyun Choi SSL MQ 94 5 0 17 Oct 2021
Surrogate- and invariance-boosted contrastive learning for data-scarce applications in science Charlotte Loh T. Christensen Rumen Dangovski Samuel Kim Marin Soljacic 76 20 0 15 Oct 2021
Self-Supervised Learning by Estimating Twin Class Distributions Feng Wang Tao Kong Rufeng Zhang Huaping Liu Hang Li SSL 109 20 0 14 Oct 2021
The Impact of Spatiotemporal Augmentations on Self-Supervised Audiovisual Representation Learning Haider Al-Tahan Y. Mohsenzadeh SSL AI4TS 49 0 0 13 Oct 2021
Representational Continuity for Unsupervised Continual Learning Divyam Madaan Jaehong Yoon Yuanchun Li Yunxin Liu Sung Ju Hwang CLL SSL 143 117 0 13 Oct 2021
Decoupled Contrastive Learning Chun-Hsiao Yeh Cheng-Yao Hong Yen-Chi Hsu Tyng-Luh Liu Yubei Chen Yann LeCun 245 191 0 13 Oct 2021
Rethinking Supervised Pre-training for Better Downstream Transferring Yutong Feng Jianwen Jiang Mingqian Tang Rong Jin Yue Gao SSL 147 41 0 12 Oct 2021
Revitalizing CNN Attentions via Transformers in Self-Supervised Visual Representation Learning Chongjian Ge Youwei Liang Yibing Song Jianbo Jiao Jue Wang Ping Luo ViT 74 35 0 11 Oct 2021
Supervision Exists Everywhere: A Data Efficient Contrastive Language-Image Pre-training Paradigm Yangguang Li Feng Liang Lichen Zhao Yufeng Cui Wanli Ouyang Jing Shao F. Yu Junjie Yan VLM CLIP 165 458 0 11 Oct 2021
Self-supervised Learning is More Robust to Dataset Imbalance Hong Liu Jeff Z. HaoChen Adrien Gaidon Tengyu Ma OOD SSL 86 167 0 11 Oct 2021
Towards Demystifying Representation Learning with Non-contrastive Self-supervision Xiang Wang Xinlei Chen S. Du Yuandong Tian SSL 78 26 0 11 Oct 2021
Weakly Supervised Contrastive Learning Mingkai Zheng Fei Wang Shan You Chao Qian Changshui Zhang Xiaogang Wang Chang Xu SSL 91 126 0 10 Oct 2021
Focus Your Distribution: Coarse-to-Fine Non-Contrastive Learning for Anomaly Detection and Localization Ye Zheng Xiang Wang Rui Deng Tianpeng Bao Rui Zhao Liwei Wu OOD 83 65 0 09 Oct 2021
A Feature Consistency Driven Attention Erasing Network for Fine-Grained Image Retrieval Qi Zhao Xu Wang Shuchang Lyu Binghao Liu Yifan Yang 96 18 0 09 Oct 2021
Temperature as Uncertainty in Contrastive Learning Oliver Zhang Mike Wu Jasmine Bayrooti Noah D. Goodman UQCV 128 33 0 08 Oct 2021
3D Infomax improves GNNs for Molecular Property Prediction Hannes Stärk Dominique Beaini Gabriele Corso Prudencio Tossou Christian Dallago Stephan Günnemann Pietro Lio AI4CE 119 208 0 08 Oct 2021
Pre-training Molecular Graph Representation with 3D Geometry Shengchao Liu Hanchen Wang Weiyang Liu Joan Lasenby Hongyu Guo Jian Tang 197 321 0 07 Oct 2021
Using Contrastive Learning and Pseudolabels to learn representations for Retail Product Image Classification Muktabh Mayank Srivastava NoLa SSL 104 1 0 07 Oct 2021
On the Surrogate Gap between Contrastive and Supervised Losses Han Bao Yoshihiro Nagano Kento Nozawa SSL UQCV 84 22 0 06 Oct 2021
SSFL: Tackling Label Deficiency in Federated Learning via Personalized Self-Supervision Chaoyang He Zhengyu Yang Erum Mushtaq Sunwoo Lee Mahdi Soltanolkotabi A. Avestimehr FedML 158 37 0 06 Oct 2021
Spatial Ensemble: a Novel Model Smoothing Mechanism for Student-Teacher Framework Tengteng Huang Yifan Sun Xun Wang Haotian Yao Fangqiu Yi 32 4 0 04 Oct 2021
DualNet: Continual Learning, Fast and Slow Quang Pham Chenghao Liu Guosheng Lin CLL 142 45 0 01 Oct 2021
SpliceOut: A Simple and Efficient Audio Augmentation Method Arjit Jain Pranay Reddy Samala Deepak Mittal Preethi Jyothi M. Singh 130 11 0 30 Sep 2021
Motion-aware Contrastive Video Representation Learning via Foreground-background Merging Shuangrui Ding Maomao Li Tianyu Yang Rui Qian Haohang Xu Qingyi Chen Jue Wang Hongkai Xiong SSL 88 51 0 30 Sep 2021
Biologically Plausible Training Mechanisms for Self-Supervised Learning in Deep Networks Mufeng Tang Yibo Yang Y. Amit SSL 138 7 0 30 Sep 2021
Hybrid Dynamic Contrast and Probability Distillation for Unsupervised Person Re-Id De Cheng Jingyu Zhou N. Wang Xinbo Gao 105 62 0 29 Sep 2021
Towards Communication-Efficient and Privacy-Preserving Federated Representation Learning Haizhou Shi Youcai Zhang Zijin Shen Siliang Tang Yaqian Li Yandong Guo Yueting Zhuang 40 6 0 29 Sep 2021
PASS: An ImageNet replacement for self-supervised pretraining without humans Yuki M. Asano Christian Rupprecht Andrew Zisserman Andrea Vedaldi VLM SSL 100 58 0 27 Sep 2021
Compressive Visual Representations Kuang-Huei Lee Anurag Arnab S. Guadarrama John F. Canny Ian S. Fischer SSL 160 48 0 27 Sep 2021
Cluster Analysis with Deep Embeddings and Contrastive Learning Ramakrishnan Sundareswaran Jansel Herrera-Gerena John Just Ali Janessari SSL DRL 74 4 0 26 Sep 2021
Long Short View Feature Decomposition via Contrastive Video Representation Learning Nadine Behrmann Mohsen Fayyaz Juergen Gall M. Noroozi 66 36 0 23 Sep 2021
Towards Universal Dense Retrieval for Open-domain Question Answering Christopher Sciavolino RALM 36 1 0 23 Sep 2021
Homography augumented momentum constrastive learning for SAR image retrieval Seonho Park M. Rysz Kathleen M. Dipple P. Pardalos 60 1 0 21 Sep 2021
Intra-Inter Subject Self-supervised Learning for Multivariate Cardiac Signals Xiang Lan Dianwen Ng linda Qiao Mengling Feng OOD 109 52 0 18 Sep 2021
Self-Supervised Neural Architecture Search for Imbalanced Datasets A. Timofeev Grigorios G. Chrysos Volkan Cevher OOD 58 5 0 17 Sep 2021
Pointly-supervised 3D Scene Parsing with Viewpoint Bottleneck Liyi Luo Beiwen Tian Hao Zhao Guyue Zhou 3DPC 81 9 0 17 Sep 2021
Dense Semantic Contrast for Self-Supervised Visual Representation Learning Xiaoni Li Yu Zhou Yifei Zhang Aoting Zhang Wei Wang Ning Jiang Haiying Wu Weiping Wang SSL 75 41 0 16 Sep 2021
Learning Robot Structure and Motion Embeddings using Graph Neural Networks J. Kim Jeongeun Park Sungjoon Choi Sehoon Ha 36 11 0 15 Sep 2021
Deep Bregman Divergence for Contrastive Learning of Visual Representations Mina Rezaei Farzin Soleymani B. Bischl Shekoofeh Azizi SSL 80 16 0 15 Sep 2021