Exploring the Limits of Weakly Supervised Pretraining

2 May 2018

L. V. D. van der Maaten

VLM

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Papers citing "Exploring the Limits of Weakly Supervised Pretraining"

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Dynamic Region-Aware Convolution Jin Chen Xijun Wang Zichao Guo X. Zhang Jian-jun Sun 11 116 0 27 Mar 2020
A Survey of Deep Learning for Scientific Discovery M. Raghu Erica Schmidt OOD AI4CE 35 120 0 26 Mar 2020
Rethinking Class-Balanced Methods for Long-Tailed Visual Recognition from a Domain Adaptation Perspective Muhammad Abdullah Jamal Matthew A. Brown Ming-Hsuan Yang Liqiang Wang Boqing Gong 18 261 0 24 Mar 2020
Robust and On-the-fly Dataset Denoising for Image Classification Jiaming Song Lunjia Hu Michael Auli Yann N. Dauphin Tengyu Ma NoLa OOD 8 13 0 24 Mar 2020
Synergic Adversarial Label Learning for Grading Retinal Diseases via Knowledge Distillation and Multi-task Learning Lie Ju Xin Wang Xin Zhao Huimin Lu Dwarikanath Mahapatra Paul Bonnington Z. Ge 8 1 0 24 Mar 2020
Meta Pseudo Labels Hieu H. Pham Zihang Dai Qizhe Xie Minh-Thang Luong Quoc V. Le VLM 250 656 0 23 Mar 2020
Weakly Supervised Context Encoder using DICOM metadata in Ultrasound Imaging Szu-Yeu Hu Shuhang Wang W. Weng Jingchao Wang Xiaohong Wang A. Ozturk Qian Li Viksit Kumar A. Samir 9 0 0 20 Mar 2020
Generalizable Pedestrian Detection: The Elephant In The Room Irtiza Hasan Shengcai Liao Jinpeng Li S. Akram Ling Shao 18 27 0 19 Mar 2020
Distant Supervision and Noisy Label Learning for Low Resource Named Entity Recognition: A Study on Hausa and Yorùbá David Ifeoluwa Adelani Michael A. Hedderich D. Zhu Esther van den Berg Dietrich Klakow 6 11 0 18 Mar 2020
Fixing the train-test resolution discrepancy: FixEfficientNet Hugo Touvron Andrea Vedaldi Matthijs Douze Hervé Jégou AAML 189 110 0 18 Mar 2020
Watching the World Go By: Representation Learning from Unlabeled Videos Daniel Gordon Kiana Ehsani D. Fox Ali Farhadi SSL AI4TS 16 87 0 18 Mar 2020
Equalization Loss for Long-Tailed Object Recognition Jingru Tan Changbao Wang Buyu Li Quanquan Li Wanli Ouyang Changqing Yin Junjie Yan 239 457 0 11 Mar 2020
Collaborative Learning of Semi-Supervised Clustering and Classification for Labeling Uncurated Data Sara Mousavi Dylan Lee Tatianna Griffin D. Steadman A. Mockus VLM 6 5 0 09 Mar 2020
Minimal spiking neuron for solving multi-label classification tasks Jakub Fil Dominique F. Chu LRM 29 9 0 05 Mar 2020
On the Learning Property of Logistic and Softmax Losses for Deep Neural Networks Xiangrui Li X. Li Deng Pan D. Zhu 6 19 0 04 Mar 2020
Deep Multi-Modal Sets A. Reiter Menglin Jia Pu Yang Ser-Nam Lim BDL 17 4 0 03 Mar 2020
Fast and Three-rious: Speeding Up Weak Supervision with Triplet Methods Daniel Y. Fu Mayee F. Chen Frederic Sala Sarah Hooper Kayvon Fatahalian Christopher Ré OffRL 20 111 0 27 Feb 2020
Weakly supervised discriminative feature learning with state information for person identification Hong-Xing Yu Wei-Shi Zheng 25 16 0 27 Feb 2020
Dynamic Graph Correlation Learning for Disease Diagnosis with Incomplete Labels Daizong Liu Shuangjie Xu Pan Zhou Kun He Wei Wei Zichuan Xu 11 1 0 26 Feb 2020
Deep Representation Learning on Long-tailed Data: A Learnable Embedding Augmentation Perspective Jialun Liu Yifan Sun Chuchu Han Zhaopeng Dou Wenhui Li 14 206 0 25 Feb 2020
I Am Going MAD: Maximum Discrepancy Competition for Comparing Classifiers Adaptively Haotao Wang Tianlong Chen Zhangyang Wang Kede Ma VLM 6 20 0 25 Feb 2020
A survey on Semi-, Self- and Unsupervised Learning for Image Classification Lars Schmarje M. Santarossa Simon-Martin Schroder Reinhard Koch SSL VLM 17 161 0 20 Feb 2020
Strength from Weakness: Fast Learning Using Weak Supervision Joshua Robinson Stefanie Jegelka S. Sra 33 32 0 19 Feb 2020
Rethinking the Hyperparameters for Fine-tuning Hao Li Pratik Chaudhari Hao Yang Michael Lam Avinash Ravichandran Rahul Bhotika Stefano Soatto VLM 23 127 0 19 Feb 2020
Few-Shot Few-Shot Learning and the role of Spatial Attention Yann Lifchitz Yannis Avrithis Sylvaine Picard SSL 10 7 0 18 Feb 2020
MapLUR: Exploring a new Paradigm for Estimating Air Pollution using Deep Learning on Map Images M. Steininger Konstantin Kobs Albin Zehe Florian Lautenschlager Martin Becker Andreas Hotho 11 11 0 18 Feb 2020
DivideMix: Learning with Noisy Labels as Semi-supervised Learning Junnan Li R. Socher S. Hoi NoLa 10 1,006 0 18 Feb 2020
Large Batch Training Does Not Need Warmup Zhouyuan Huo Bin Gu Heng-Chiao Huang AI4CE ODL 11 5 0 04 Feb 2020
Radioactive data: tracing through training Alexandre Sablayrolles Matthijs Douze Cordelia Schmid Hervé Jégou 25 74 0 03 Feb 2020
On the Convergence of Artificial Intelligence and Distributed Ledger Technology: A Scoping Review and Future Research Agenda Konstantin D. Pandl Scott Thiebes Manuel Schmidt-Kraepelin A. Sunyaev 27 69 0 29 Jan 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 31 3,464 0 21 Jan 2020
A simple way to make neural networks robust against diverse image corruptions E. Rusak Lukas Schott Roland S. Zimmermann Julian Bitterwolf Oliver Bringmann Matthias Bethge Wieland Brendel 16 64 0 16 Jan 2020
A Little Fog for a Large Turn Harshitha Machiraju V. Balasubramanian AAML 15 9 0 16 Jan 2020
Learning Spatiotemporal Features via Video and Text Pair Discrimination Tianhao Li Limin Wang VGen 10 55 0 16 Jan 2020
UnOVOST: Unsupervised Offline Video Object Segmentation and Tracking Jonathon Luiten Idil Esen Zulfikar Bastian Leibe VOS 125 62 0 15 Jan 2020
Bag of Tricks for Retail Product Image Classification Muktabh Mayank Srivastava 6 16 0 12 Jan 2020
Neural Data Server: A Large-Scale Search Engine for Transfer Learning Data Xi Yan David Acuna Sanja Fidler 24 42 0 09 Jan 2020
Identifying and Compensating for Feature Deviation in Imbalanced Deep Learning Han-Jia Ye Hong-You Chen De-Chuan Zhan Wei-Lun Chao 24 99 0 06 Jan 2020
The Real-World-Weight Cross-Entropy Loss Function: Modeling the Costs of Mislabeling Yaoshiang Ho S. Wookey 16 528 0 03 Jan 2020
All-in-One Image-Grounded Conversational Agents Da Ju Kurt Shuster Y-Lan Boureau Jason Weston LLMAG 21 8 0 28 Dec 2019
Big Transfer (BiT): General Visual Representation Learning Alexander Kolesnikov Lucas Beyer Xiaohua Zhai J. Puigcerver Jessica Yung Sylvain Gelly N. Houlsby MQ 47 1,183 0 24 Dec 2019
Measuring Dataset Granularity Yin Cui Zeqi Gu D. Mahajan L. V. D. van der Maaten Serge J. Belongie Ser-Nam Lim 24 13 0 21 Dec 2019
Dreaming to Distill: Data-free Knowledge Transfer via DeepInversion Hongxu Yin Pavlo Molchanov Zhizhong Li J. Álvarez Arun Mallya Derek Hoiem N. Jha Jan Kautz 15 551 0 18 Dec 2019
Research Frontiers in Transfer Learning -- a systematic and bibliometric review Frederico Guth Teofilo de Campos 23 0 0 18 Dec 2019
Classifying, Segmenting, and Tracking Object Instances in Video with Mask Propagation Gedas Bertasius Lorenzo Torresani 19 178 0 10 Dec 2019
To Balance or Not to Balance: A Simple-yet-Effective Approach for Learning with Long-Tailed Distributions Junjie Zhang Lingqiao Liu Peng Wang Chunhua Shen 11 25 0 10 Dec 2019
ClusterFit: Improving Generalization of Visual Representations Xueting Yan Ishan Misra Abhinav Gupta Deepti Ghadiyaram D. Mahajan SSL VLM 13 132 0 06 Dec 2019
Self-Supervised Learning of Pretext-Invariant Representations Ishan Misra L. V. D. van der Maaten SSL VLM 14 1,445 0 04 Dec 2019
Distance-Based Learning from Errors for Confidence Calibration Chen Xing Sercan Ö. Arik Zizhao Zhang Tomas Pfister FedML 13 39 0 03 Dec 2019
See and Read: Detecting Depression Symptoms in Higher Education Students Using Multimodal Social Media Data Paulo Mann A. Paes Elton H. Matsushima 11 39 0 03 Dec 2019