Prototypical Contrastive Learning of Unsupervised Representations

11 May 2020

Papers citing "Prototypical Contrastive Learning of Unsupervised Representations"

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Title
CLIP-CID: Efficient CLIP Distillation via Cluster-Instance Discrimination Kaicheng Yang Tiancheng Gu Xiang An Haiqiang Jiang Xiangzi Dai Ziyong Feng Weidong Cai Jiankang Deng VLM 46 7 0 18 Aug 2024
Contextuality Helps Representation Learning for Generalized Category Discovery Tingzhang Luo Mingxuan Du Jiatao Shi Xinxiang Chen Bingchen Zhao Shaoguang Huang 42 4 0 29 Jul 2024
Multi-label Cluster Discrimination for Visual Representation Learning Xiang An Kaicheng Yang Xiangzi Dai Ziyong Feng Jiankang Deng VLM 43 6 0 24 Jul 2024
Efficient Unsupervised Visual Representation Learning with Explicit Cluster Balancing Ioannis Maniadis Metaxas Georgios Tzimiropoulos Ioannis Patras SSL 29 0 0 15 Jul 2024
Deep Online Probability Aggregation Clustering Yuxuan Yan Na Lu Ruofan Yan 27 1 0 07 Jul 2024
Learning from Memory: Non-Parametric Memory Augmented Self-Supervised Learning of Visual Features T. Silva Hélio Pedrini Adín Ramírez Rivera SSL 26 2 0 03 Jul 2024
Fine-grained Background Representation for Weakly Supervised Semantic Segmentation Xu Yin Woobin Im Dongbo Min Yuchi Huo Fei Pan Sung-Eui Yoon 54 4 0 22 Jun 2024
A Generic Method for Fine-grained Category Discovery in Natural Language Texts Chang Tian Matthew B. Blaschko Wenpeng Yin Mingzhe Xing Yinliang Yue Marie-Francine Moens 38 2 0 18 Jun 2024
SemanticMIM: Marring Masked Image Modeling with Semantics Compression for General Visual Representation Yike Yuan Huanzhang Dou Fengjun Guo Xi Li 31 2 0 15 Jun 2024
POWN: Prototypical Open-World Node Classification Marcel Hoffmann Lukas Galke A. Scherp 24 0 0 14 Jun 2024
Sailing in high-dimensional spaces: Low-dimensional embeddings through angle preservation Jonas Fischer Rong Ma 35 0 0 14 Jun 2024
Self-supervised Learning of Neural Implicit Feature Fields for Camera Pose Refinement Maxime Pietrantoni G. Csurka Martin Humenberger Torsten Sattler SSL 34 1 0 12 Jun 2024
Latent Representation Matters: Human-like Sketches in One-shot Drawing Tasks Victor Boutin Rishav Mukherji Aditya Agrawal Sabine Muzellec Thomas Fel Thomas Serre Rufin VanRullen DiffM 29 0 0 10 Jun 2024
MLLM-SR: Conversational Symbolic Regression base Multi-Modal Large Language Models Yanjie Li Weijun Li Lina Yu Min Wu Jingyi Liu Wenqiang Li Shu Wei Yusong Deng OffRL 29 3 0 08 Jun 2024
Towards Real-world Scenario: Imbalanced New Intent Discovery Shun Zhang Chaoran Yan Jian Yang J. H. Liu Ying Mo Jiaqi Bai Tongliang Li Z. Li 29 2 0 05 Jun 2024
Heterophilous Distribution Propagation for Graph Neural Networks Zhuonan Zheng Sheng Zhou Hongjia Xu Ming Gu Yilun Xu Ao Li Yuhong Li Jingjun Gu Jiajun Bu 51 0 0 31 May 2024
Cross-Training with Multi-View Knowledge Fusion for Heterogenous Federated Learning Zhuang Qi Lei Meng Weihao He Ruohan Zhang Yu Wang Xin Qi Xiangxu Meng FedML 35 4 0 30 May 2024
Efficiency for Free: Ideal Data Are Transportable Representations Peng Sun Yi Jiang Tao Lin DD 36 0 0 23 May 2024
InfRS: Incremental Few-Shot Object Detection in Remote Sensing Images Wuzhou Li Jiawei Zhou Xiang Li Yi Cao Guanglu Jin Xuemin Zhang 38 1 0 18 May 2024
DINO as a von Mises-Fisher mixture model Hariprasath Govindarajan Per Sidén Jacob Roll Fredrik Lindsten 39 11 0 17 May 2024
Self-Supervised Learning of Time Series Representation via Diffusion Process and Imputation-Interpolation-Forecasting Mask Zineb Senane Lele Cao V. Buchner Yusuke Tashiro Lei You P. Herman Mats Nordahl Ruibo Tu Vilhelm von Ehrenheim DiffM AI4TS 14 10 0 09 May 2024
Concrete Dense Network for Long-Sequence Time Series Clustering Redemptor Jr Laceda Taloma Patrizio Pisani Danilo Comminiello AI4TS 39 0 0 08 May 2024
A Review on Discriminative Self-supervised Learning Methods in Computer Vision Nikolaos Giakoumoglou Tania Stathaki Athanasios Gkelias SSL 59 1 0 08 May 2024
On Improving the Algorithm-, Model-, and Data- Efficiency of Self-Supervised Learning Yunhao Cao Jianxin Wu 35 0 0 30 Apr 2024
Towards Incremental Learning in Large Language Models: A Critical Review M. Jovanovic Peter Voss ELM CLL KELM 28 5 0 28 Apr 2024
Representing Part-Whole Hierarchies in Foundation Models by Learning Localizability, Composability, and Decomposability from Anatomy via Self-Supervision M. Taher Michael B. Gotway Jianming Liang MedIm 26 5 0 24 Apr 2024
Understanding Hyperbolic Metric Learning through Hard Negative Sampling Yun Yue Fangzhou Lin Guanyi Mou Ziming Zhang SSL 30 1 0 23 Apr 2024
TrACT: A Training Dynamics Aware Contrastive Learning Framework for Long-tail Trajectory Prediction Junrui Zhang Mozhgan Pourkeshavarz Amir Rasouli 44 3 0 18 Apr 2024
An Experimental Study on Exploring Strong Lightweight Vision Transformers via Masked Image Modeling Pre-Training Jin Gao Shubo Lin Shaoru Wang Yutong Kou Zeming Li Liang Li Congxuan Zhang Xiaoqin Zhang Yizheng Wang Weiming Hu 39 1 0 18 Apr 2024
FedCCL: Federated Dual-Clustered Feature Contrast Under Domain Heterogeneity Yu Qiao Huy Q. Le Mengchun Zhang Apurba Adhikary Chaoning Zhang Choong Seon Hong FedML 40 9 0 14 Apr 2024
Beyond Known Clusters: Probe New Prototypes for Efficient Generalized Class Discovery Ye Wang Yaxiong Wang Yujiao Wu Bin Zhao Xueming Qian 34 2 0 13 Apr 2024
RoNID: New Intent Discovery with Generated-Reliable Labels and Cluster-friendly Representations Shun Zhang Chaoran Yan Jian Yang Changyu Ren Jiaqi Bai Tongliang Li Zhoujun Li 34 1 0 13 Apr 2024
DELTA: Decoupling Long-Tailed Online Continual Learning S. Raghavan Jiangpeng He F. Zhu 67 2 0 06 Apr 2024
ADs: Active Data-sharing for Data Quality Assurance in Advanced Manufacturing Systems Yue Zhao Yuxuan Li Chenang Liu Yinan Wang 22 0 0 31 Mar 2024
Heterogeneous Contrastive Learning for Foundation Models and Beyond Lecheng Zheng Baoyu Jing Zihao Li Hanghang Tong Jingrui He VLM 30 19 0 30 Mar 2024
TransFusion: Contrastive Learning with Transformers Huanran Li Daniel Pimentel-Alarcón 32 0 0 27 Mar 2024
New Intent Discovery with Attracting and Dispersing Prototype Shun Zhang Jian Yang Jiaqi Bai Chaoran Yan Tongliang Li Zhao Yan Zhoujun Li 44 4 0 25 Mar 2024
A Multimodal Approach for Cross-Domain Image Retrieval Lucas Iijima Tania Stathaki 29 1 0 22 Mar 2024
On Pretraining Data Diversity for Self-Supervised Learning Hasan Hammoud Tuhin Das Fabio Pizzati Philip H. S. Torr Adel Bibi Bernard Ghanem 100 2 0 20 Mar 2024
Adaptive Critical Subgraph Mining for Cognitive Impairment Conversion Prediction with T1-MRI-based Brain Network Yilin Leng Wenju Cui Chen Bai Xi Jiang Shuangqing Chen Jian Zheng 32 0 0 20 Mar 2024
GenView: Enhancing View Quality with Pretrained Generative Model for Self-Supervised Learning Xiaojie Li Yibo Yang Xiangtai Li Jianlong Wu Yue Yu Bernard Ghanem Min Zhang SSL 32 6 0 18 Mar 2024
Open-World Semi-Supervised Learning for Node Classification Yanling Wang Jing Zhang Lingxi Zhang Lixin Liu Yuxiao Dong Cuiping Li Hong Chen Hongzhi Yin BDL 35 0 0 18 Mar 2024
MeDSLIP: Medical Dual-Stream Language-Image Pre-training with Pathology-Anatomy Semantic Alignment Wenrui Fan M. N. I. Suvon Shuo Zhou Xianyuan Liu S. Alabed V. Osmani Andrew J Swift Chen Chen Haiping Lu MedIm VLM LM&MA 51 3 0 15 Mar 2024
Semantic Feature Learning for Universal Unsupervised Cross-Domain Retrieval Lixu Wang Xinyu Du Qi Zhu 26 0 0 08 Mar 2024
Contrastive Continual Learning with Importance Sampling and Prototype-Instance Relation Distillation Jiyong Li Dilshod Azizov Yang Li Shangsong Liang CLL 37 7 0 07 Mar 2024
Active Generalized Category Discovery Shijie Ma Fei Zhu Zhun Zhong Xu-Yao Zhang Cheng-Lin Liu 37 13 0 07 Mar 2024
Self-Supervised Facial Representation Learning with Facial Region Awareness Zheng Gao Ioannis Patras SSL 40 10 0 04 Mar 2024
Rethinking The Uniformity Metric in Self-Supervised Learning Xianghong Fang Jian Li Qiang Sun Benyou Wang SSL 12 0 0 01 Mar 2024
Rethinking cluster-conditioned diffusion models Nikolas Adaloglou Tim Kaiser Félix D. P. Michels M. Kollmann VLM 32 3 0 01 Mar 2024
Separating common from salient patterns with Contrastive Representation Learning Robin Louiset Edouard Duchesnay Antoine Grigis Pietro Gori SSL DRL 38 1 0 19 Feb 2024