OpenCon: Open-world Contrastive Learning

4 August 2022

Papers citing "OpenCon: Open-world Contrastive Learning"

36 / 36 papers shown

Title
Hyperbolic Category Discovery Yuanpei Liu Zhenqi He Kai Han 21 0 0 08 Apr 2025
Deep Active Learning in the Open World Tian Xie Jifan Zhang Haoyue Bai R. Nowak VLM 41 0 0 10 Nov 2024
OwMatch: Conditional Self-Labeling with Consistency for Open-World Semi-Supervised Learning Shengjie Niu Lifan Lin Jian Huang Chao Wang 24 0 0 04 Nov 2024
A Fresh Look at Generalized Category Discovery through Non-negative Matrix Factorization Zhong Ji S. M. I. Simon X. Yang Jingren Liu Yanwei Pang Jungong Han 21 0 0 29 Oct 2024
Composing Novel Classes: A Concept-Driven Approach to Generalized Category Discovery Chuyu Zhang Peiyan Gu Xueyang Yu Xuming He 21 0 0 17 Oct 2024
Flipped Classroom: Aligning Teacher Attention with Student in Generalized Category Discovery Haonan Lin Wenbin An Jiahao Wang Yan Chen Feng Tian Mengmeng Wang Guang Dai Qianying Wang Jingdong Wang 32 2 0 29 Sep 2024
Bridging OOD Detection and Generalization: A Graph-Theoretic View Han Wang Yixuan Li CML 21 0 0 26 Sep 2024
Unveiling the Unknown: Conditional Evidence Decoupling for Unknown Rejection Zhaowei Wu Binyi Su Hua Zhang Zhong Zhou EDL 37 0 0 26 Jun 2024
POWN: Prototypical Open-World Node Classification Marcel Hoffmann Lukas Galke A. Scherp 16 0 0 14 Jun 2024
Rethinking Open-World Semi-Supervised Learning: Distribution Mismatch and Inductive Inference S. Park Hyuk Kwon Kwanghoon Sohn Kibok Lee OffRL 16 0 0 31 May 2024
Towards Realistic Long-tailed Semi-supervised Learning in an Open World Yuanpeng He Lijian Li 21 0 0 23 May 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 28 0 0 18 Mar 2024
Federated Continual Novel Class Learning Lixu Wang Chenxi Liu Junfeng Guo Jiahua Dong Xiao Wang Heng-Chiao Huang Qi Zhu CLL FedML 19 2 0 21 Dec 2023
ImbaGCD: Imbalanced Generalized Category Discovery Ziyun Li Ben Dai Furkan Simsek Christoph Meinel Haojin Yang 24 2 0 04 Dec 2023
Generalized Categories Discovery for Long-tailed Recognition Ziyun Li Christoph Meinel Haojin Yang 18 3 0 04 Dec 2023
No Representation Rules Them All in Category Discovery S. Vaze Andrea Vedaldi Andrew Zisserman OOD 21 31 0 28 Nov 2023
A Practical Approach to Novel Class Discovery in Tabular Data Colin Troisemaine Alexandre Reiffers Stéphane Gosselin Vincent Lemaire Sandrine Vaton 20 1 0 09 Nov 2023
A Graph-Theoretic Framework for Understanding Open-World Semi-Supervised Learning Yiyou Sun Zhenmei Shi Yixuan Li OffRL 19 20 0 06 Nov 2023
Towards Distribution-Agnostic Generalized Category Discovery Jianhong Bai Zuo-Qiang Liu Hualiang Wang Ruizhe Chen Lianrui Mu Xiaomeng Li Joey Tianyi Zhou Yang Feng Jian Wu Haoji Hu 24 9 0 02 Oct 2023
Adapting Self-Supervised Representations to Multi-Domain Setups N. Kalibhat Sam Sharpe Jeremy Goodsitt Bayan Bruss S. Feizi 13 0 0 07 Sep 2023
Semi-Supervised Learning in the Few-Shot Zero-Shot Scenario Noam Fluss Guy Hacohen D. Weinshall 13 1 0 27 Aug 2023
When and How Does Known Class Help Discover Unknown Ones? Provable Understanding Through Spectral Analysis Yiyou Sun Zhenmei Shi Yingyu Liang Yixuan Li 24 19 0 09 Aug 2023
Discovering COVID-19 Coughing and Breathing Patterns from Unlabeled Data Using Contrastive Learning with Varying Pre-Training Domains Jinjin Cai Sudip Vhaduri Xiao Luo SSL 12 5 0 02 Jun 2023
Federated Generalized Category Discovery Nan Pu Zhun Zhong Xinyuan Ji N. Sebe FedML 22 13 0 23 May 2023
Learning Semi-supervised Gaussian Mixture Models for Generalized Category Discovery Bingchen Zhao Xin Wen Kai Han 30 46 0 10 May 2023
Parametric Classification for Generalized Category Discovery: A Baseline Study Xin Wen Bingchen Zhao Xiaojuan Qi 14 66 0 21 Nov 2022
Open-Set Recognition: a Good Closed-Set Classifier is All You Need? S. Vaze Kai Han Andrea Vedaldi Andrew Zisserman BDL 158 401 0 12 Oct 2021
On the Importance of Gradients for Detecting Distributional Shifts in the Wild Rui Huang Andrew Geng Yixuan Li 171 324 0 01 Oct 2021
Trash to Treasure: Harvesting OOD Data with Cross-Modal Matching for Open-Set Semi-Supervised Learning Junkai Huang Chaowei Fang Weikai Chen Z. Chai Xiaolin K. Wei Pengxu Wei Liang Lin Guanbin Li OODD 40 63 0 12 Aug 2021
With a Little Help from My Friends: Nearest-Neighbor Contrastive Learning of Visual Representations Debidatta Dwibedi Y. Aytar Jonathan Tompson P. Sermanet Andrew Zisserman SSL 183 450 0 29 Apr 2021
Emerging Properties in Self-Supervised Vision Transformers Mathilde Caron Hugo Touvron Ishan Misra Hervé Jégou Julien Mairal Piotr Bojanowski Armand Joulin 283 5,723 0 29 Apr 2021
Calibrating and Improving Graph Contrastive Learning Kaili Ma Haochen Yang Han Yang Yongqiang Chen James Cheng 22 6 0 27 Jan 2021
Contrastive Prototype Learning with Augmented Embeddings for Few-Shot Learning Yizhao Gao Nanyi Fei Guangzhen Liu Zhiwu Lu Tao Xiang Songfang Huang 46 35 0 23 Jan 2021
Conditional Gaussian Distribution Learning for Open Set Recognition Xin Sun Zhen Yang Chi Zhang Guohao Peng K. Ling BDL UQCV 133 214 0 19 Mar 2020
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 268 5,635 0 05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 247 9,042 0 06 Jun 2015