Understanding Contrastive Representation Learning through Alignment and Uniformity on the Hypersphere

20 May 2020

Papers citing "Understanding Contrastive Representation Learning through Alignment and Uniformity on the Hypersphere"

50 / 323 papers shown

Title
Transferable Unlearnable Examples J. Ren Han Xu Yuxuan Wan Xingjun Ma Lichao Sun Jiliang Tang 36 36 0 18 Oct 2022
Unsupervised visualization of image datasets using contrastive learning Jan Boehm Philipp Berens D. Kobak SSL 26 15 0 18 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 28 1 0 16 Oct 2022
A Large-Scale Annotated Multivariate Time Series Aviation Maintenance Dataset from the NGAFID Hong Yang Travis J. Desell AI4TS 19 1 0 13 Oct 2022
Generalized Inter-class Loss for Gait Recognition Weichen Yu Hongyuan Yu Yan Huang Liang Wang CVBM 32 12 0 13 Oct 2022
Continual Learning by Modeling Intra-Class Variation L. Yu Tianyang Hu Lanqing Hong Zhen Liu Adrian Weller Weiyang Liu CLL 48 12 0 11 Oct 2022
SDA: Simple Discrete Augmentation for Contrastive Sentence Representation Learning Dongsheng Zhu Zhenyu Mao Jinghui Lu Rui Zhao Fei Tan 28 1 0 08 Oct 2022
Unsupervised Few-shot Learning via Deep Laplacian Eigenmaps Kuilin Chen Chi-Guhn Lee SSL 40 3 0 07 Oct 2022
Zero-shot stance detection based on cross-domain feature enhancement by contrastive learning Xuechen Zhao Jiaying Zou Zhong Zhang Feng Xie Bin Zhou Lei Tian 29 3 0 07 Oct 2022
What shapes the loss landscape of self-supervised learning? Liu Ziyin Ekdeep Singh Lubana Masakuni Ueda Hidenori Tanaka 50 20 0 02 Oct 2022
Rethinking the Learning Paradigm for Facial Expression Recognition Weijie Wang N. Sebe Bruno Lepri 31 2 0 30 Sep 2022
Few-shot Text Classification with Dual Contrastive Consistency Liwen Sun Jiawei Han 19 0 0 29 Sep 2022
Variance Covariance Regularization Enforces Pairwise Independence in Self-Supervised Representations Grégoire Mialon Randall Balestriero Yann LeCun 29 9 0 29 Sep 2022
Efficient block contrastive learning via parameter-free meta-node approximation Gayan K. Kulatilleke Marius Portmann Shekhar S. Chandra 29 3 0 28 Sep 2022
Non-Linguistic Supervision for Contrastive Learning of Sentence Embeddings Yiren Jian Chongyang Gao Soroush Vosoughi SSL 23 15 0 20 Sep 2022
Neural Collapse with Normalized Features: A Geometric Analysis over the Riemannian Manifold Can Yaras Peng Wang Zhihui Zhu Laura Balzano Qing Qu 25 41 0 19 Sep 2022
A Causal Intervention Scheme for Semantic Segmentation of Quasi-periodic Cardiovascular Signals Xingyao Wang Yuwen Li Hongxiang Gao Xianghong Cheng Jianqing Li Chengyu Liu 19 6 0 19 Sep 2022
Ranking-Enhanced Unsupervised Sentence Representation Learning Yeon Seonwoo Guoyin Wang Changmin Seo Sajal Choudhary Jiwei Li Xiang Li Puyang Xu Sunghyun Park Alice H. Oh SSL DRL AI4TS 53 15 0 09 Sep 2022
Design of the topology for contrastive visual-textual alignment Zhun Sun 30 1 0 05 Sep 2022
Addressing Token Uniformity in Transformers via Singular Value Transformation Hanqi Yan Lin Gui Wenjie Li Yulan He 24 14 0 24 Aug 2022
DPTDR: Deep Prompt Tuning for Dense Passage Retrieval Zhen-Quan Tang Benyou Wang Ting Yao VLM 36 14 0 24 Aug 2022
Disentangled Contrastive Learning for Social Recommendation Jiahao Wu Wenqi Fan Jingfan Chen Shengcai Liu Qing Li Ke Tang 32 67 0 18 Aug 2022
Mere Contrastive Learning for Cross-Domain Sentiment Analysis Yun Luo Fang Guo Zihan Liu Yue Zhang 31 15 0 18 Aug 2022
RenyiCL: Contrastive Representation Learning with Skew Renyi Divergence Kyungmin Lee Jinwoo Shin SSL DRL 29 10 0 12 Aug 2022
Distributed Contrastive Learning for Medical Image Segmentation Yawen Wu Dewen Zeng Zhepeng Wang Yiyu Shi Jingtong Hu FedML 44 48 0 07 Aug 2022
Analyzing Data-Centric Properties for Graph Contrastive Learning Puja Trivedi Ekdeep Singh Lubana Mark Heimann Danai Koutra Jayaraman J. Thiagarajan 28 11 0 04 Aug 2022
OpenCon: Open-world Contrastive Learning Yiyou Sun Yixuan Li VLM SSL DRL 44 39 0 04 Aug 2022
Design What You Desire: Icon Generation from Orthogonal Application and Theme Labels Yinpeng Chen Zhiyu Pan Min Shi Hao Lu Zhiguo Cao Weicai Zhong GAN 19 3 0 31 Jul 2022
Improving Fine-tuning of Self-supervised Models with Contrastive Initialization Haolin Pan Yong Guo Qinyi Deng Hao-Fan Yang Yiqun Chen Jian Chen SSL 18 19 0 30 Jul 2022
Self-supervised learning with rotation-invariant kernels Léon Zheng Gilles Puy E. Riccietti Patrick Pérez Rémi Gribonval SSL 9 2 0 28 Jul 2022
Criteria Comparative Learning for Real-scene Image Super-Resolution Yukai Shi Hao Li Senyang Zhang Zhi Yang Xiao Wang SupR 11 14 0 26 Jul 2022
Contrastive Self-Supervised Learning Leads to Higher Adversarial Susceptibility Rohit Gupta Naveed Akhtar Ajmal Saeed Mian M. Shah AAML SSL 21 5 0 22 Jul 2022
Equivariant Representation Learning via Class-Pose Decomposition G. Marchetti Gustaf Tegnér Anastasiia Varava Danica Kragic DRL 32 14 0 07 Jul 2022
Teach me how to Interpolate a Myriad of Embeddings Shashanka Venkataramanan Ewa Kijak Laurent Amsaleg Yannis Avrithis 40 2 0 29 Jun 2022
Temporal Attention Unit: Towards Efficient Spatiotemporal Predictive Learning Cheng Tan Zhangyang Gao Lirong Wu Yongjie Xu Jun-Xiong Xia Siyuan Li Stan Z. Li 39 107 0 24 Jun 2022
Utilizing Expert Features for Contrastive Learning of Time-Series Representations Manuel Nonnenmacher Lukas Oldenburg Ingo Steinwart David Reeb AI4TS 23 21 0 23 Jun 2022
Spherical Sliced-Wasserstein Clément Bonet P. Berg Nicolas Courty Françcois Septier Lucas Drumetz Minh Pham 27 27 0 17 Jun 2022
Beyond Supervised vs. Unsupervised: Representative Benchmarking and Analysis of Image Representation Learning M. Gwilliam Abhinav Shrivastava SSL 76 19 1 16 Jun 2022
Evaluating Self-Supervised Learning for Molecular Graph Embeddings Hanchen Wang Jean Kaddour Shengchao Liu Jian Tang Joan Lasenby Qi Liu 27 20 0 16 Jun 2022
From Labels to Priors in Capsule Endoscopy: A Prior Guided Approach for Improving Generalization with Few Labels Anuja Vats A. Mohammed Marius Pedersen OOD 11 7 0 10 Jun 2022
POODLE: Improving Few-shot Learning via Penalizing Out-of-Distribution Samples Duong H. Le Khoi Duc Minh Nguyen Khoi Nguyen Quoc-Huy Tran Rang Nguyen Binh-Son Hua OODD 30 39 0 08 Jun 2022
Consensus Learning for Cooperative Multi-Agent Reinforcement Learning Zhiwei Xu Bin Zhang Dapeng Li Zeren Zhang Guangchong Zhou Hao Chen Guoliang Fan 16 14 0 06 Jun 2022
APES: Articulated Part Extraction from Sprite Sheets Zhan Xu Matthew Fisher Yang Zhou Deepali Aneja Rushikesh Dudhat Li Yi E. Kalogerakis 41 2 0 04 Jun 2022
MSR: Making Self-supervised learning Robust to Aggressive Augmentations Ying-Long Bai Erkun Yang Zhaoqing Wang Yuxuan Du Bo Han Cheng Deng Dadong Wang Tongliang Liu SSL 23 3 0 04 Jun 2022
Delving into the Openness of CLIP Shuhuai Ren Lei Li Xuancheng Ren Guangxiang Zhao Xu Sun VLM 22 13 0 04 Jun 2022
Hyperspherical Consistency Regularization Cheng Tan Zhangyang Gao Lirong Wu Siyuan Li Stan Z. Li 33 25 0 02 Jun 2022
Learning Locality and Isotropy in Dialogue Modeling Han Wu Hao Hao Tan Mingjie Zhan Gangming Zhao Shaoqing Lu Ding Liang Linqi Song 31 2 0 29 May 2022
CyCLIP: Cyclic Contrastive Language-Image Pretraining Shashank Goel Hritik Bansal S. Bhatia Ryan A. Rossi Vishwa Vinay Aditya Grover CLIP VLM 173 132 0 28 May 2022
Conditional Supervised Contrastive Learning for Fair Text Classification Jianfeng Chi Will Shand Yaodong Yu Kai-Wei Chang Han Zhao Yuan Tian FaML 46 14 0 23 May 2022
Masked Image Modeling with Denoising Contrast Kun Yi Yixiao Ge Xiaotong Li Shusheng Yang Dian Li Jianping Wu Ying Shan Xiaohu Qie VLM 30 51 0 19 May 2022