Billion-scale semi-supervised learning for image classification

2 May 2019

Papers citing "Billion-scale semi-supervised learning for image classification"

50 / 123 papers shown

Title
False Promises in Medical Imaging AI? Assessing Validity of Outperformance Claims Evangelia Christodoulou Annika Reinke Pascaline Andrè Patrick Godau P. Kalinowski ... Amber L. Simpson A. Kopp-Schneider Gaël Varoquaux O. Colliot Lena Maier-Hein 38 0 0 07 May 2025
Seeking Consistent Flat Minima for Better Domain Generalization via Refining Loss Landscapes Aodi Li Liansheng Zhuang Xiao Long Minghong Yao Shafei Wang 186 0 0 18 Dec 2024
Analysis of High-dimensional Gaussian Labeled-unlabeled Mixture Model via Message-passing Algorithm Xiaosi Gu Tomoyuki Obuchi 74 0 0 29 Nov 2024
QT-DoG: Quantization-aware Training for Domain Generalization Saqib Javed Hieu Le Mathieu Salzmann OOD MQ 28 1 0 08 Oct 2024
CLCE: An Approach to Refining Cross-Entropy and Contrastive Learning for Optimized Learning Fusion Zijun Long George Killick Lipeng Zhuang Gerardo Aragon Camarasa Zaiqiao Meng R. McCreadie VLM 50 2 0 22 Feb 2024
ContextMix: A context-aware data augmentation method for industrial visual inspection systems Hyungmin Kim Donghun Kim Pyunghwan Ahn Sungho Suh Hansang Cho Junmo Kim 29 2 0 18 Jan 2024
Semi-supervised ViT knowledge distillation network with style transfer normalization for colorectal liver metastases survival prediction Mohamed El Amine Elforaici E. Montagnon Francisco Perdigon Romero W. Le F. Azzi Dominique Trudel Bich Nguyen Simon Turcotte An Tang Samuel Kadoury MedIm 33 2 0 17 Nov 2023
Cross-Domain HAR: Few Shot Transfer Learning for Human Activity Recognition Megha Thukral H. Haresamudram Thomas Ploetz 34 4 0 22 Oct 2023
XLS-R fine-tuning on noisy word boundaries for unsupervised speech segmentation into words Robin Algayres Pablo Diego-Simon Benoît Sagot Emmanuel Dupoux 38 1 0 08 Oct 2023
Wafer Map Defect Patterns Semi-Supervised Classification Using Latent Vector Representation Qiyu Wei Wei Zhao Xiaoyan Zheng Zeng Zeng 29 6 0 06 Oct 2023
Distributionally Robust Classification on a Data Budget Ben Feuer Ameya Joshi Minh Pham C. Hegde OOD 37 2 0 07 Aug 2023
PILLAR: How to make semi-private learning more effective Francesco Pinto Yaxian Hu Fanny Yang Amartya Sanyal 49 11 0 06 Jun 2023
Performance-optimized deep neural networks are evolving into worse models of inferotemporal visual cortex Drew Linsley I. F. Rodriguez Thomas Fel Michael Arcaro Saloni Sharma Margaret Livingstone Thomas Serre 35 18 0 06 Jun 2023
Physics-Informed Computer Vision: A Review and Perspectives C. Banerjee Kien Nguyen Clinton Fookes G. Karniadakis PINN AI4CE 34 29 0 29 May 2023
Making the Most of What You Have: Adapting Pre-trained Visual Language Models in the Low-data Regime Chuhan Zhang Antoine Miech Jiajun Shen Jean-Baptiste Alayrac Pauline Luc VLM VPVLM 41 2 0 03 May 2023
DINOv2: Learning Robust Visual Features without Supervision Maxime Oquab Timothée Darcet Théo Moutakanni Huy Q. Vo Marc Szafraniec ... Hervé Jégou Julien Mairal Patrick Labatut Armand Joulin Piotr Bojanowski VLM CLIP SSL 110 3,041 0 14 Apr 2023
Self-training with dual uncertainty for semi-supervised medical image segmentation Zhanhong Qiu Haitao Gan Mingzhi Shi Zhongwei Huang Zhi Yang 11 2 0 10 Apr 2023
An Extended Study of Human-like Behavior under Adversarial Training Paul Gavrikov J. Keuper M. Keuper AAML 28 9 0 22 Mar 2023
Self-improving object detection via disagreement reconciliation Gianluca Scarpellini Stefano Rosa Pietro Morerio Lorenzo Natale Alessio Del Bue ObjD 27 3 0 21 Feb 2023
WebUI: A Dataset for Enhancing Visual UI Understanding with Web Semantics Jason Wu Siyan Wang Siman Shen Yi-Hao Peng Jeffrey Nichols Jeffrey P. Bigham 21 68 0 30 Jan 2023
Open-Set Likelihood Maximization for Few-Shot Learning Malik Boudiaf Etienne Bennequin Myriam Tami Antoine Toubhans Pablo Piantanida C´eline Hudelot Ismail Ben Ayed BDL 28 10 0 20 Jan 2023
Discovering Customer-Service Dialog System with Semi-Supervised Learning and Coarse-to-Fine Intent Detection Zhitong Yang Xing Ma Anqi Liu Zheyu Zhang 20 1 0 23 Dec 2022
Reversible Column Networks Yuxuan Cai Yi Zhou Qi Han Jianjian Sun Xiangwen Kong Jun Yu Li Xiangyu Zhang VLM 31 53 0 22 Dec 2022
Global Meets Local: Effective Multi-Label Image Classification via Category-Aware Weak Supervision Jiawei Zhan Xiaozhong Liu Wei Tang Guannan Jiang Xi-Zhao Wang ... Tianliang Zhang Wenlong Wu Wei Zhang Chengjie Wang Yuan Xie 33 6 0 23 Nov 2022
Harmonizing the object recognition strategies of deep neural networks with humans Thomas Fel Ivan Felipe Drew Linsley Thomas Serre 36 71 0 08 Nov 2022
Learning to Infer from Unlabeled Data: A Semi-supervised Learning Approach for Robust Natural Language Inference Mobashir Sadat Cornelia Caragea 21 2 0 05 Nov 2022
1Cademy @ Causal News Corpus 2022: Leveraging Self-Training in Causality Classification of Socio-Political Event Data A. Nik Ge Zhang Xingran Chen Mingyu Li Jie Fu 32 4 0 04 Nov 2022
Towards Sustainable Self-supervised Learning Shanghua Gao Pan Zhou Mingg-Ming Cheng Shuicheng Yan CLL 45 7 0 20 Oct 2022
The Lie Derivative for Measuring Learned Equivariance Nate Gruver Marc Finzi Micah Goldblum A. Wilson 18 34 0 06 Oct 2022
PercentMatch: Percentile-based Dynamic Thresholding for Multi-Label Semi-Supervised Classification Jun Huang Alexander Huang Beatriz C. Guerra Yen-Yun Yu 27 4 0 30 Aug 2022
Semi-Supervised and Unsupervised Deep Visual Learning: A Survey Yanbei Chen Massimiliano Mancini Xiatian Zhu Zeynep Akata 45 113 0 24 Aug 2022
Tunable Hybrid Proposal Networks for the Open World Matthew J. Inkawhich Nathan Inkawhich H. Li Yiran Chen 32 2 0 23 Aug 2022
Towards Label-efficient Automatic Diagnosis and Analysis: A Comprehensive Survey of Advanced Deep Learning-based Weakly-supervised, Semi-supervised and Self-supervised Techniques in Histopathological Image Analysis Linhao Qu Siyu Liu Xiaoyu Liu Manning Wang Zhijian Song 25 56 0 18 Aug 2022
Deconstructing Self-Supervised Monocular Reconstruction: The Design Decisions that Matter Jaime Spencer Martin Chris Russell Simon Hadfield Richard Bowden MDE 32 22 0 02 Aug 2022
Exploring the Design of Adaptation Protocols for Improved Generalization and Machine Learning Safety Puja Trivedi Danai Koutra Jayaraman J. Thiagarajan AAML 28 0 0 26 Jul 2022
On the Strong Correlation Between Model Invariance and Generalization Weijian Deng Stephen Gould Liang Zheng OOD 32 16 0 14 Jul 2022
Which models are innately best at uncertainty estimation? Ido Galil Mohammed Dabbah Ran El-Yaniv UQCV 34 5 0 05 Jun 2022
Boosting Multi-Label Image Classification with Complementary Parallel Self-Distillation Jiazhi Xu Sheng Huang Fengtao Zhou Luwen Huangfu D. Zeng Bo Liu 19 13 0 23 May 2022
The developmental trajectory of object recognition robustness: children are like small adults but unlike big deep neural networks Lukas Huber Robert Geirhos Felix Wichmann 54 16 0 20 May 2022
Multi-Class 3D Object Detection with Single-Class Supervision Mao Ye Chenxi Liu Maoqing Yao Weiyue Wang Zhaoqi Leng C. Qi Drago Anguelov 3DPC 30 1 0 11 May 2022
Mapping the landscape of histomorphological cancer phenotypes using self-supervised learning on unlabeled, unannotated pathology slides A. Quiros N. Coudray A. Yeaton Xinyu Yang Bojing Liu ... H. Pass A. Moreira J. L. Quesne A. Tsirigos Ke-Fei Yuan SSL 18 5 0 04 May 2022
Sim-to-Real 6D Object Pose Estimation via Iterative Self-training for Robotic Bin Picking Kai-xiang Chen Ruizhi Cao Stephen James Yichuan Li Yunhui Liu Pieter Abbeel Qi Dou 3DPC 35 26 0 14 Apr 2022
Unsupervised Prompt Learning for Vision-Language Models Hao Huang Jack Chu Fangyun Wei VPVLM MLLM VLM 38 131 0 07 Apr 2022
MultiMAE: Multi-modal Multi-task Masked Autoencoders Roman Bachmann David Mizrahi Andrei Atanov Amir Zamir 35 265 0 04 Apr 2022
CNN Filter DB: An Empirical Investigation of Trained Convolutional Filters Paul Gavrikov J. Keuper AAML 21 31 0 29 Mar 2022
No Shifted Augmentations (NSA): compact distributions for robust self-supervised Anomaly Detection Mohamed Yousef Marcel R. Ackermann Unmesh Kurup Tom E. Bishop OODD OOD 40 3 0 19 Mar 2022
Semi-Supervised Learning with Mutual Distillation for Monocular Depth Estimation Jongbeom Baek Gyeongnyeon Kim Seung Wook Kim FedML MDE 33 12 0 18 Mar 2022
X-Learner: Learning Cross Sources and Tasks for Universal Visual Representation Yinan He Gengshi Huang Siyu Chen Jianing Teng Wang Kun Zhen-fei Yin Lu Sheng Ziwei Liu Yu Qiao Jing Shao VLM SSL ViT 40 7 0 16 Mar 2022
Bamboo: Building Mega-Scale Vision Dataset Continually with Human-Machine Synergy Yuanhan Zhang Qi Sun Yichun Zhou Zexin He Zhen-fei Yin Kunze Wang Lu Sheng Yu Qiao Jing Shao Ziwei Liu ObjD VLM 32 19 0 15 Mar 2022
Model soups: averaging weights of multiple fine-tuned models improves accuracy without increasing inference time Mitchell Wortsman Gabriel Ilharco S. Gadre Rebecca Roelofs Raphael Gontijo-Lopes ... Hongseok Namkoong Ali Farhadi Y. Carmon Simon Kornblith Ludwig Schmidt MoMe 54 916 1 10 Mar 2022