Learning with Pseudo-Ensembles

16 December 2014

Papers citing "Learning with Pseudo-Ensembles"

50 / 177 papers shown

Title
MSMatch: Semi-Supervised Multispectral Scene Classification with Few Labels Pablo Gómez Gabriele Meoni 104 36 0 18 Mar 2021
Cycle Self-Training for Domain Adaptation Hong Liu Jianmin Wang Mingsheng Long 126 179 0 05 Mar 2021
Medical Image Segmentation with Limited Supervision: A Review of Deep Network Models Jialin Peng Ye Wang VLM 90 60 0 28 Feb 2021
Sinkhorn Label Allocation: Semi-Supervised Classification via Annealed Self-Training Kai Sheng Tai Peter Bailis Gregory Valiant OT 77 44 0 17 Feb 2021
Semi-Supervised Action Recognition with Temporal Contrastive Learning Ankit Singh Omprakash Chakraborty Ashutosh Varshney Yikang Shen Rogerio Feris Kate Saenko Abir Das 82 99 0 04 Feb 2021
On Data-Augmentation and Consistency-Based Semi-Supervised Learning Atin Ghosh Alexandre Hoang Thiery 127 21 0 18 Jan 2021
Twin Neural Network Regression S. J. Wetzel Kevin Ryczko R. Melko Isaac Tamblyn UQCV 74 12 0 29 Dec 2020
Efficient Estimation of Influence of a Training Instance Sosuke Kobayashi Sho Yokoi Jun Suzuki Kentaro Inui TDI 86 15 0 08 Dec 2020
Semi-Supervised Learning with Variational Bayesian Inference and Maximum Uncertainty Regularization Kien Do T. Tran Svetha Venkatesh BDL 53 3 0 03 Dec 2020
Ranking Neural Checkpoints Yandong Li Xuhui Jia Ruoxin Sang Yukun Zhu Bradley Green Liqiang Wang Boqing Gong FedML ELM UQCV 109 49 0 23 Nov 2020
Generalized Negative Correlation Learning for Deep Ensembling Sebastian Buschjäger Lukas Pfahler K. Morik FedML BDL UQCV 69 17 0 05 Nov 2020
CoDA: Contrast-enhanced and Diversity-promoting Data Augmentation for Natural Language Understanding Yanru Qu Dinghan Shen Yelong Shen Sandra Sajeev Jiawei Han Weizhu Chen 204 69 0 16 Oct 2020
Deep Ensembles for Low-Data Transfer Learning Basil Mustafa C. Riquelme J. Puigcerver andAndré Susano Pinto Daniel Keysers N. Houlsby FedML OOD 56 24 0 14 Oct 2020
Adaptive Self-training for Few-shot Neural Sequence Labeling Yaqing Wang Subhabrata Mukherjee Haoda Chu Yuancheng Tu Ming Wu Jing Gao Ahmed Hassan Awadallah VLM 54 34 0 07 Oct 2020
A Simple but Tough-to-Beat Data Augmentation Approach for Natural Language Understanding and Generation Dinghan Shen Ming Zheng Yelong Shen Yanru Qu Weizhu Chen AAML 99 132 0 29 Sep 2020
SSMBA: Self-Supervised Manifold Based Data Augmentation for Improving Out-of-Domain Robustness Nathan Ng Kyunghyun Cho Marzyeh Ghassemi 85 146 0 21 Sep 2020
Adversarial Knowledge Transfer from Unlabeled Data Akash Gupta Yikang Shen S. Paul Jianming Zhang Amit K. Roy-Chowdhury 31 0 0 13 Aug 2020
Noisy Student Training using Body Language Dataset Improves Facial Expression Recognition Vikas Kumar Shivansh Rao Li Yu CVBM NoLa 114 32 0 06 Aug 2020
Endo-Sim2Real: Consistency learning-based domain adaptation for instrument segmentation Manish Sahu Ronja Strömsdörfer Anirban Mukhopadhyay S. Zachow 110 35 0 22 Jul 2020
Self-similarity Student for Partial Label Histopathology Image Segmentation Hsien-Tzu Cheng Chun-Fu Yeh Po-Chen Kuo Andy Wei Keng-Chi Liu Mong-Chi Ko Kuan-Hua Chao Yu-Ching Peng Tyng-Luh Liu 112 20 0 19 Jul 2020
Improving Object Detection with Selective Self-supervised Self-training Yandong Li Di Huang Danfeng Qin Liqiang Wang Boqing Gong 115 65 0 17 Jul 2020
Data-Efficient Reinforcement Learning with Self-Predictive Representations Max Schwarzer Ankesh Anand Rishab Goel R. Devon Hjelm Aaron Courville Philip Bachman 112 321 0 12 Jul 2020
Meta-Semi: A Meta-learning Approach for Semi-supervised Learning Yulin Wang Jiayi Guo Shiji Song Gao Huang 79 27 0 05 Jul 2020
Uncertainty-aware multi-view co-training for semi-supervised medical image segmentation and domain adaptation Yingda Xia Ke Wang Zhiding Yu Fengze Liu Jinzheng Cai Lequan Yu Zhuotun Zhu Daguang Xu Alan Yuille H. Roth OOD 74 214 0 28 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 445 6,865 0 13 Jun 2020
Rethinking the Value of Labels for Improving Class-Imbalanced Learning Yuzhe Yang Zhi Xu SSL 131 413 0 13 Jun 2020
Rethinking Pre-training and Self-training Barret Zoph Golnaz Ghiasi Nayeon Lee Huayu Chen Hanxiao Liu E. D. Cubuk Quoc V. Le SSeg 112 654 0 11 Jun 2020
A Simple Semi-Supervised Learning Framework for Object Detection Kihyuk Sohn Zizhao Zhang Chun-Liang Li Han Zhang Chen-Yu Lee Tomas Pfister 121 500 0 10 May 2020
Subdomain Adaptation with Manifolds Discrepancy Alignment Pengfei Wei Yiping Ke Xinghua Qu Tze-Yun Leong 14 17 0 06 May 2020
Dark Experience for General Continual Learning: a Strong, Simple Baseline Pietro Buzzega Matteo Boschini Angelo Porrello Davide Abati Simone Calderara BDL CLL 91 928 0 15 Apr 2020
Infomax Neural Joint Source-Channel Coding via Adversarial Bit Flip Yuxuan Song Minkai Xu Lantao Yu Hao Zhou Shuo Shao Yong Yu AAML 63 16 0 03 Apr 2020
Regularizing Class-wise Predictions via Self-knowledge Distillation Sukmin Yun Jongjin Park Kimin Lee Jinwoo Shin 81 281 0 31 Mar 2020
Post-Estimation Smoothing: A Simple Baseline for Learning with Side Information Esther Rolf Michael I. Jordan Benjamin Recht 48 6 0 12 Mar 2020
Class-Imbalanced Semi-Supervised Learning Minsung Hyun Jisoo Jeong Nojun Kwak 60 49 0 17 Feb 2020
Improved Consistency Regularization for GANs Zhengli Zhao Sameer Singh Honglak Lee Zizhao Zhang Augustus Odena Han Zhang 81 153 0 11 Feb 2020
FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence Kihyuk Sohn David Berthelot Chun-Liang Li Zizhao Zhang Nicholas Carlini E. D. Cubuk Alexey Kurakin Han Zhang Colin Raffel AAML 165 3,595 0 21 Jan 2020
Discriminative Clustering with Representation Learning with any Ratio of Labeled to Unlabeled Data Corinne Jones Vincent Roulet Zaïd Harchaoui 109 1 0 30 Dec 2019
AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty Dan Hendrycks Norman Mu E. D. Cubuk Barret Zoph Justin Gilmer Balaji Lakshminarayanan OOD UQCV 169 1,313 0 05 Dec 2019
ReMixMatch: Semi-Supervised Learning with Distribution Alignment and Augmentation Anchoring David Berthelot Nicholas Carlini E. D. Cubuk Alexey Kurakin Kihyuk Sohn Han Zhang Colin Raffel 104 684 0 21 Nov 2019
SSAH: Semi-supervised Adversarial Deep Hashing with Self-paced Hard Sample Generation Sheng Jin Shangchen Zhou Yao Liu Chao Chen Xiaoshuai Sun Huanjin Yao Xiansheng Hua GAN 51 30 0 20 Nov 2019
Self-training with Noisy Student improves ImageNet classification Qizhe Xie Minh-Thang Luong Eduard H. Hovy Quoc V. Le NoLa 329 2,397 0 11 Nov 2019
Consistency Regularization for Generative Adversarial Networks Han Zhang Zizhao Zhang Augustus Odena Honglak Lee GAN 73 285 0 26 Oct 2019
Teacher Supervises Students How to Learn From Partially Labeled Images for Facial Landmark Detection Xuanyi Dong Yezhou Yang CVBM 135 67 0 06 Aug 2019
Multi-Task Recurrent Convolutional Network with Correlation Loss for Surgical Video Analysis Yueming Jin Huaxia Li Qi Dou Hao Chen J. Qin Chi-Wing Fu Pheng-Ann Heng 74 177 0 13 Jul 2019
Non-technical Loss Detection with Statistical Profile Images Based on Semi-supervised Learning Jiangteng Li Fei Wang 20 2 0 09 Jul 2019
Achieving Generalizable Robustness of Deep Neural Networks by Stability Training Jan Laermann Wojciech Samek Nils Strodthoff OOD 68 15 0 03 Jun 2019
Are Labels Required for Improving Adversarial Robustness? J. Uesato Jean-Baptiste Alayrac Po-Sen Huang Robert Stanforth Alhussein Fawzi Pushmeet Kohli AAML 95 335 0 31 May 2019
Semi-Supervised Learning with Scarce Annotations Sylvestre-Alvise Rebuffi Sébastien Ehrhardt Kai Han Andrea Vedaldi Andrew Zisserman SSL 71 51 0 21 May 2019
Virtual Mixup Training for Unsupervised Domain Adaptation Xudong Mao Yun Ma Zhenguo Yang Yangbin Chen Qing Li 111 53 0 10 May 2019
Unsupervised Data Augmentation for Consistency Training Qizhe Xie Zihang Dai Eduard H. Hovy Minh-Thang Luong Quoc V. Le 148 2,330 0 29 Apr 2019