v1v2v3 (latest)

Towards Calibrated Deep Clustering Network

4 March 2024

Junhui Hou

Papers citing "Towards Calibrated Deep Clustering Network"

40 / 40 papers shown

Title
Superpixel Graph Contrastive Clustering with Semantic-Invariant Augmentations for Hyperspectral Images Jianhan Qi Yuheng Jia Hui Liu Junhui Hou 106 3 0 04 Mar 2024
Contextually Affinitive Neighborhood Refinery for Deep Clustering Chunlin Yu Ye-ling Shi Jingya Wang 100 7 0 12 Dec 2023
Stable Cluster Discrimination for Deep Clustering Qi Qian OOD 80 24 0 24 Nov 2023
Image Clustering with External Guidance Yunfan Li Peng Hu Dezhong Peng Jiancheng Lv Jianping Fan Xi Peng 109 14 0 18 Oct 2023
DivClust: Controlling Diversity in Deep Clustering Ioannis Maniadis Metaxas Georgios Tzimiropoulos Ioannis Patras 68 19 0 03 Apr 2023
Rethinking Confidence Calibration for Failure Prediction Fei Zhu Zhen Cheng Xu-Yao Zhang Cheng-Lin Liu UQCV 98 41 0 06 Mar 2023
Twin Contrastive Learning for Online Clustering Yunfan Li Mouxing Yang Dezhong Peng Taihao Li Jian-Tao Huang Xiaocui Peng 72 112 0 21 Oct 2022
On the Robustness of Deep Clustering Models: Adversarial Attacks and Defenses Anshuman Chhabra Ashwin Sekhari P. Mohapatra OOD AAML 98 8 0 04 Oct 2022
Semantic-Enhanced Image Clustering Shao-Qian Cai Li-qing Qiu Xiaojun Chen Qin Zhang Long Chen VLM 62 15 0 21 Aug 2022
FreeMatch: Self-adaptive Thresholding for Semi-supervised Learning Yidong Wang Hao Chen Qiang Heng Wenxin Hou Yue Fan ... Marios Savvides T. Shinozaki Bhiksha Raj Bernt Schiele Xing Xie 228 283 0 15 May 2022
Learning Representation for Clustering via Prototype Scattering and Positive Sampling Zhizhong Huang Jie Chen Junping Zhang Hongming Shan 91 99 0 23 Nov 2021
FlexMatch: Boosting Semi-Supervised Learning with Curriculum Pseudo Labeling Bowen Zhang Yidong Wang Wenxin Hou Hao Wu Jindong Wang Manabu Okumura T. Shinozaki AAML 403 905 0 15 Oct 2021
A Survey of Uncertainty in Deep Neural Networks J. Gawlikowski Cedrique Rovile Njieutcheu Tassi Mohsin Ali Jongseo Lee Matthias Humt ... R. Roscher Muhammad Shahzad Wen Yang R. Bamler Xiaoxiang Zhu BDL UQCV OOD 246 1,179 0 07 Jul 2021
Revisiting the Calibration of Modern Neural Networks Matthias Minderer Josip Djolonga Rob Romijnders F. Hubis Xiaohua Zhai N. Houlsby Dustin Tran Mario Lucic UQCV 118 369 0 15 Jun 2021
You Never Cluster Alone Yuming Shen Ziyi Shen Menghan Wang Jie Qin Philip Torr Ling Shao SSL 110 46 0 03 Jun 2021
SPICE: Semantic Pseudo-labeling for Image Clustering Chuang Niu Hongming Shan Ge Wang VLM 218 155 0 17 Mar 2021
When and How Mixup Improves Calibration Linjun Zhang Zhun Deng Kenji Kawaguchi James Zou UQCV 70 70 0 11 Feb 2021
Learning Calibrated Uncertainties for Domain Shift: A Distributionally Robust Learning Approach Haoxu Wang Zhiding Yu Yisong Yue Anima Anandkumar Anqi Liu Junchi Yan OOD UQCV 130 4 0 08 Oct 2020
Contrastive Clustering Yunfan Li Peng Hu Zitao Liu Dezhong Peng Qiufeng Wang Xi Peng 91 639 0 21 Sep 2020
Local Temperature Scaling for Probability Calibration Zhipeng Ding Xu Han Peirong Liu Marc Niethammer 136 81 0 12 Aug 2020
Transferable Calibration with Lower Bias and Variance in Domain Adaptation Ximei Wang Mingsheng Long Jianmin Wang Michael I. Jordan 76 54 0 16 Jul 2020
Diagnostic Uncertainty Calibration: Towards Reliable Machine Predictions in Medical Domain Takahiro Mimori Keiko Sasada H. Matsui Issei Sato UQCV 86 7 0 03 Jul 2020
Individual Calibration with Randomized Forecasting Shengjia Zhao Tengyu Ma Stefano Ermon 110 60 0 18 Jun 2020
Bootstrap your own latent: A new approach to self-supervised Learning Jean-Bastien Grill Florian Strub Florent Altché Corentin Tallec Pierre Harvey Richemond ... M. G. Azar Bilal Piot Koray Kavukcuoglu Rémi Munos Michal Valko SSL 562 6,881 0 13 Jun 2020
SCAN: Learning to Classify Images without Labels Wouter Van Gansbeke Simon Vandenhende Stamatios Georgoulis Marc Proesmans Luc Van Gool VLM SSL 153 542 0 25 May 2020
Multi-View Spectral Clustering Tailored Tensor Low-Rank Representation Yuheng Jia Hui Liu Xianqiang Lyu Sam Kwong Qingfu Zhang 63 83 0 30 Apr 2020
Improved Baselines with Momentum Contrastive Learning Xinlei Chen Haoqi Fan Ross B. Girshick Kaiming He SSL 729 3,451 0 09 Mar 2020
Calibrating Deep Neural Networks using Focal Loss Jishnu Mukhoti Viveka Kulharia Amartya Sanyal Stuart Golodetz Philip Torr P. Dokania UQCV 123 468 0 21 Feb 2020
A Simple Framework for Contrastive Learning of Visual Representations Ting-Li Chen Simon Kornblith Mohammad Norouzi Geoffrey E. Hinton SSL 510 19,004 0 13 Feb 2020
Can We Trust You? On Calibration of a Probabilistic Object Detector for Autonomous Driving Di Feng Lars Rosenbaum Claudius Glaeser Fabian Timm Klaus C. J. Dietmayer UQCV 3DPC 64 39 0 26 Sep 2019
Verified Uncertainty Calibration Ananya Kumar Percy Liang Tengyu Ma 205 360 0 23 Sep 2019
When Does Label Smoothing Help? Rafael Müller Simon Kornblith Geoffrey E. Hinton UQCV 304 1,962 0 06 Jun 2019
Learning for Single-Shot Confidence Calibration in Deep Neural Networks through Stochastic Inferences Seonguk Seo Paul Hongsuck Seo Bohyung Han FedML UQCV BDL 186 76 0 28 Sep 2018
Large Batch Training of Convolutional Networks Yang You Igor Gitman Boris Ginsburg ODL 212 856 0 13 Aug 2017
On Calibration of Modern Neural Networks Chuan Guo Geoff Pleiss Yu Sun Kilian Q. Weinberger UQCV 305 5,901 0 14 Jun 2017
Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour Priya Goyal Piotr Dollár Ross B. Girshick P. Noordhuis Lukasz Wesolowski Aapo Kyrola Andrew Tulloch Yangqing Jia Kaiming He 3DH 345 3,693 0 08 Jun 2017
Regularizing Neural Networks by Penalizing Confident Output Distributions Gabriel Pereyra George Tucker J. Chorowski Lukasz Kaiser Geoffrey E. Hinton NoLa 263 1,142 0 23 Jan 2017
SGDR: Stochastic Gradient Descent with Warm Restarts I. Loshchilov Frank Hutter ODL 392 8,216 0 13 Aug 2016
Unsupervised Deep Embedding for Clustering Analysis Junyuan Xie Ross B. Girshick Ali Farhadi SSL 190 2,905 0 19 Nov 2015
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift Sergey Ioffe Christian Szegedy OOD 1.1K 43,420 0 11 Feb 2015