There Are Many Consistent Explanations of Unlabeled Data: Why You Should Average

14 June 2018

Papers citing "There Are Many Consistent Explanations of Unlabeled Data: Why You Should Average"

49 / 49 papers shown

Title
Two Heads Are Better Than One: Averaging along Fine-Tuning to Improve Targeted Transferability Hui Zeng Sanshuai Cui Biwei Chen Anjie Peng AAML 39 0 0 31 Dec 2024
Reinforcement Learning-Guided Semi-Supervised Learning Marzi Heidari Hanping Zhang Yuhong Guo OffRL 36 0 0 02 May 2024
Semi-supervised learning made simple with self-supervised clustering Enrico Fini Pietro Astolfi Alahari Karteek Xavier Alameda-Pineda Julien Mairal Moin Nabi Elisa Ricci SSL 39 25 0 13 Jun 2023
Towards Understanding How Self-training Tolerates Data Backdoor Poisoning Soumyadeep Pal Ren Wang Yuguang Yao Sijia Liu 45 6 0 20 Jan 2023
Enhancing Self-Training Methods Aswathnarayan Radhakrishnan Jim Davis Zachary Rabin Benjamin Lewis Matthew Scherreik R. Ilin 21 1 0 18 Jan 2023
Boosting Semi-Supervised Learning with Contrastive Complementary Labeling Qinyi Deng Yong Guo Zhibang Yang Haolin Pan Jian Chen 35 10 0 13 Dec 2022
A soft nearest-neighbor framework for continual semi-supervised learning Zhiqi Kang Enrico Fini Moin Nabi Elisa Ricci Alahari Karteek SSL BDL CLL 21 17 0 09 Dec 2022
The Lie Derivative for Measuring Learned Equivariance Nate Gruver Marc Finzi Micah Goldblum A. Wilson 18 34 0 06 Oct 2022
Improving Multi-fidelity Optimization with a Recurring Learning Rate for Hyperparameter Tuning HyunJae Lee Gihyeon Lee Junh-Nam Kim Sungjun Cho Dohyun Kim Donggeun Yoo 31 3 0 26 Sep 2022
Semi-Supervised and Unsupervised Deep Visual Learning: A Survey Yanbei Chen Massimiliano Mancini Xiatian Zhu Zeynep Akata 45 113 0 24 Aug 2022
Semi-Supervised Building Footprint Generation with Feature and Output Consistency Training Qingyu Li Yilei Shi Xiao Xiang Zhu 18 24 0 17 May 2022
The Two Dimensions of Worst-case Training and the Integrated Effect for Out-of-domain Generalization Zeyi Huang Haohan Wang Dong Huang Yong Jae Lee Eric P. Xing 13 22 0 09 Apr 2022
Omni-DETR: Omni-Supervised Object Detection with Transformers Pei Wang Zhaowei Cai Hao Yang Gurumurthy Swaminathan Nuno Vasconcelos Bernt Schiele Stefano Soatto 33 40 0 30 Mar 2022
When Do Flat Minima Optimizers Work? Jean Kaddour Linqing Liu Ricardo M. A. Silva Matt J. Kusner ODL 18 58 0 01 Feb 2022
Self Semi Supervised Neural Architecture Search for Semantic Segmentation Loïc Pauletto Massih-Reza Amini Nicolas Winckler SSL SSeg 32 1 0 29 Jan 2022
Semi-Supervised Semantic Segmentation of Vessel Images using Leaking Perturbations Jinyong Hou Xuejie Ding Jeremiah D. Deng MedIm 26 19 0 22 Oct 2021
Fine-Grained Adversarial Semi-supervised Learning Daniele Mugnai F. Pernici F. Turchini A. Bimbo 27 8 0 12 Oct 2021
Balanced Masked and Standard Face Recognition Delong Qi Kangli Hu Weijun Tan Qi Yao Jingfeng Liu CVBM 29 4 0 04 Oct 2021
Perturbated Gradients Updating within Unit Space for Deep Learning Ching-Hsun Tseng Liu Cheng Shin-Jye Lee Xiaojun Zeng 40 5 0 01 Oct 2021
FedCon: A Contrastive Framework for Federated Semi-Supervised Learning Zewei Long Jiaqi Wang Yaqing Wang Houping Xiao Fenglong Ma FedML 48 22 0 09 Sep 2021
MvSR-NAT: Multi-view Subset Regularization for Non-Autoregressive Machine Translation Pan Xie Zexian Li Xiaohui Hu 31 11 0 19 Aug 2021
Semi-Supervised Active Learning with Temporal Output Discrepancy Siyu Huang Tianyang Wang Haoyi Xiong Jun Huan Dejing Dou UQCV 25 66 0 29 Jul 2021
Recent Deep Semi-supervised Learning Approaches and Related Works Gyeongho Kim SSL 15 10 0 22 Jun 2021
Consistency Regularization for Cross-Lingual Fine-Tuning Bo Zheng Li Dong Shaohan Huang Wenhui Wang Zewen Chi Saksham Singhal Wanxiang Che Ting Liu Xia Song Furu Wei 19 58 0 15 Jun 2021
LaplaceNet: A Hybrid Graph-Energy Neural Network for Deep Semi-Supervised Classification P. Sellars Angelica I. Aviles-Rivero Carola-Bibiane Schönlieb 29 8 0 08 Jun 2021
SSMD: Semi-Supervised Medical Image Detection with Adaptive Consistency and Heterogeneous Perturbation Hong-Yu Zhou Chengdi Wang Haofeng Li Gang Wang Shu Zhen Zhang Wei-min Li Yizhou Yu 19 48 0 03 Jun 2021
A Neural Pre-Conditioning Active Learning Algorithm to Reduce Label Complexity Seo Taek Kong Soomin Jeon Dongbin Na Jaewon Lee Honglak Lee Kyu-Hwan Jung 23 6 0 08 Apr 2021
A Realistic Evaluation of Semi-Supervised Learning for Fine-Grained Classification Jong-Chyi Su Zezhou Cheng Subhransu Maji 23 57 0 01 Apr 2021
PSLA: Improving Audio Tagging with Pretraining, Sampling, Labeling, and Aggregation Yuan Gong Yu-An Chung James R. Glass VLM 104 144 0 02 Feb 2021
Exponential Moving Average Normalization for Self-supervised and Semi-supervised Learning Zhaowei Cai Avinash Ravichandran Subhransu Maji Charless C. Fowlkes Z. Tu Stefano Soatto 36 118 0 21 Jan 2021
Regularization with Latent Space Virtual Adversarial Training Genki Osada Budrul Ahsan Revoti Prasad Bora Takashi Nishide 30 14 0 26 Nov 2020
SHOT-VAE: Semi-supervised Deep Generative Models With Label-aware ELBO Approximations H. Feng Kezhi Kong Minghao Chen Tianye Zhang Minfeng Zhu Wei Chen VLM DRL 34 24 0 21 Nov 2020
A Review of Single-Source Deep Unsupervised Visual Domain Adaptation Sicheng Zhao Xiangyu Yue Shanghang Zhang Bo-wen Li Han Zhao ... Ravi Krishna Joseph E. Gonzalez Alberto L. Sangiovanni-Vincentelli S. Seshia Kurt Keutzer 39 264 0 01 Sep 2020
Guided Collaborative Training for Pixel-wise Semi-Supervised Learning Zhanghan Ke Di Qiu Kaican Li Qiong Yan Rynson W. H. Lau 28 247 0 12 Aug 2020
Rethinking Pre-training and Self-training Barret Zoph Golnaz Ghiasi Nayeon Lee Huayu Chen Hanxiao Liu E. D. Cubuk Quoc V. Le SSeg 39 645 0 11 Jun 2020
An Overview of Deep Semi-Supervised Learning Yassine Ouali C´eline Hudelot Myriam Tami SSL HAI 21 294 0 09 Jun 2020
Proposal Learning for Semi-Supervised Object Detection Peng Tang Chetan Ramaiah Yan Wang Ran Xu Caiming Xiong 28 100 0 15 Jan 2020
Stochastic Weight Averaging in Parallel: Large-Batch Training that Generalizes Well Vipul Gupta S. Serrano D. DeCoste MoMe 32 55 0 07 Jan 2020
Semi-Supervised Learning with Normalizing Flows Pavel Izmailov Polina Kirichenko Marc Finzi A. Wilson DRL BDL 25 111 0 30 Dec 2019
Big Transfer (BiT): General Visual Representation Learning Alexander Kolesnikov Lucas Beyer Xiaohua Zhai J. Puigcerver Jessica Yung Sylvain Gelly N. Houlsby MQ 73 1,182 0 24 Dec 2019
Triple Generative Adversarial Networks Chongxuan Li Kun Xu Jiashuo Liu Jun Zhu Bo Zhang GAN 31 41 0 20 Dec 2019
Parting with Illusions about Deep Active Learning Sudhanshu Mittal Maxim Tatarchenko Özgün Çiçek Thomas Brox VLM 19 59 0 11 Dec 2019
Learning with Multiplicative Perturbations Xiulong Yang Shihao Ji AAML 14 4 0 04 Dec 2019
Self-training with Noisy Student improves ImageNet classification Qizhe Xie Minh-Thang Luong Eduard H. Hovy Quoc V. Le NoLa 50 2,358 0 11 Nov 2019
Semi-supervised semantic segmentation needs strong, varied perturbations Geoff French S. Laine Timo Aila Michal Mackiewicz G. Finlayson 26 29 0 05 Jun 2019
Semi-Supervised Learning by Augmented Distribution Alignment Qin Wang Wen Li Luc Van Gool 15 68 0 20 May 2019
Exploring Object Relation in Mean Teacher for Cross-Domain Detection Qi Cai Yingwei Pan Chong-Wah Ngo Xinmei Tian Ling-yu Duan Ting Yao ViT OOD 30 306 0 25 Apr 2019
Interpolation Consistency Training for Semi-Supervised Learning Vikas Verma Kenji Kawaguchi Alex Lamb Arno Solin Arno Solin Yoshua Bengio David Lopez-Paz 39 756 0 09 Mar 2019
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima N. Keskar Dheevatsa Mudigere J. Nocedal M. Smelyanskiy P. T. P. Tang ODL 284 2,889 0 15 Sep 2016