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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Improving Fractal Pre-training Connor Anderson Ryan Farrell 88 27 0 06 Oct 2021
Adversarial Robustness Comparison of Vision Transformer and MLP-Mixer to CNNs Philipp Benz Soomin Ham Chaoning Zhang Adil Karjauv In So Kweon AAML ViT 47 78 0 06 Oct 2021
ActiveMatch: End-to-end Semi-supervised Active Representation Learning Xinkai Yuan Zilinghan Li Gaoang Wang CLL 17 6 0 06 Oct 2021
Influence-Balanced Loss for Imbalanced Visual Classification Seulki Park Jongin Lim Younghan Jeon J. Choi CVBM 90 132 0 06 Oct 2021
Exploring the Limits of Large Scale Pre-training Samira Abnar Mostafa Dehghani Behnam Neyshabur Hanie Sedghi AI4CE 60 114 0 05 Oct 2021
Robust Temporal Ensembling for Learning with Noisy Labels Abel Brown Benedikt D. Schifferer R. DiPietro NoLa OOD 6 0 0 29 Sep 2021
An embarrassingly simple comparison of machine learning algorithms for indoor scene classification Bhanuka Gamage 20 1 0 25 Sep 2021
Balanced-MixUp for Highly Imbalanced Medical Image Classification Adrian Galdran G. Carneiro M. A. G. Ballester 18 99 0 20 Sep 2021
A Study of the Generalizability of Self-Supervised Representations Atharva Tendle Mohammad Rashedul Hasan 76 26 0 19 Sep 2021
Screen Parsing: Towards Reverse Engineering of UI Models from Screenshots Jason Wu Xiaoyi Zhang Jeffrey Nichols Jeffrey P. Bigham 3DV 163 71 0 17 Sep 2021
Compute and Energy Consumption Trends in Deep Learning Inference Radosvet Desislavov Fernando Martínez-Plumed José Hernández Orallo 35 113 0 12 Sep 2021
Uncovering Main Causalities for Long-tailed Information Extraction Guoshun Nan Jiaqi Zeng Rui Qiao Zhijiang Guo Wei Lu CML 54 46 0 11 Sep 2021
Self Supervision to Distillation for Long-Tailed Visual Recognition Tianhao Li Limin Wang Gangshan Wu 45 101 0 09 Sep 2021
Rethinking Crowdsourcing Annotation: Partial Annotation with Salient Labels for Multi-Label Image Classification Jianzhe Lin Tianze Yu Z. J. Wang 16 10 0 06 Sep 2021
On-target Adaptation Dequan Wang Shaoteng Liu Sayna Ebrahimi Evan Shelhamer Trevor Darrell TTA 34 19 0 02 Sep 2021
Multi-Task Self-Training for Learning General Representations Golnaz Ghiasi Barret Zoph E. D. Cubuk Quoc V. Le Tsung-Yi Lin SSL 24 100 0 25 Aug 2021
Learning From Long-Tailed Data With Noisy Labels Shyamgopal Karthik Jérôme Revaud Boris Chidlovskii SSL NoLa 11 27 0 25 Aug 2021
StyleAugment: Learning Texture De-biased Representations by Style Augmentation without Pre-defined Textures Sanghyuk Chun Song Park 11 6 0 24 Aug 2021
SemiFed: Semi-supervised Federated Learning with Consistency and Pseudo-Labeling Haowen Lin Jian Lou Li Xiong Cyrus Shahabi FedML 21 56 0 21 Aug 2021
DeFRCN: Decoupled Faster R-CNN for Few-Shot Object Detection Limeng Qiao Yuxuan Zhao Zhiyuan Li Xi Qiu Jianan Wu Chi Zhang ObjD 30 197 0 20 Aug 2021
Causal Attention for Unbiased Visual Recognition Tan Wang Chan Zhou Qianru Sun Hanwang Zhang OOD CML 32 108 0 19 Aug 2021
Self-Supervised Visual Representations Learning by Contrastive Mask Prediction Yucheng Zhao Guangting Wang Chong Luo Wenjun Zeng Zhengjun Zha ISeg SSL 27 46 0 18 Aug 2021
SCIDA: Self-Correction Integrated Domain Adaptation from Single- to Multi-label Aerial Images Tianze Yu Ieee Jianzhe Lin Student Member Ieee Lichao Mou Student Member Yuansheng Hua Senior Member Ieee Xiaoxiang Zhu F. I. Z. Jane Wang 13 7 0 15 Aug 2021
Billion-Scale Pretraining with Vision Transformers for Multi-Task Visual Representations Josh Beal Hao Wu Dong Huk Park Andrew Zhai Dmitry Kislyuk ViT 15 29 0 12 Aug 2021
Co-learning: Learning from Noisy Labels with Self-supervision Cheng Tan Jun-Xiong Xia Lirong Wu Stan Z. Li NoLa 73 116 0 05 Aug 2021
Free Lunch for Co-Saliency Detection: Context Adjustment Lingdong Kong Prakhar Ganesh Tan Wang Junhao Liu Le Zhang Yao-Liang Chen 16 0 0 04 Aug 2021
Boosting Weakly Supervised Object Detection via Learning Bounding Box Adjusters Bowen Dong Zitong Huang Yuelin Guo Qilong Wang Zhenxing Niu W. Zuo 13 51 0 03 Aug 2021
On The State of Data In Computer Vision: Human Annotations Remain Indispensable for Developing Deep Learning Models Z. Emam Andrew Kondrich Sasha Harrison Felix Lau Yushi Wang Aerin Kim E. Branson VLM 30 11 0 31 Jul 2021
Using Synthetic Corruptions to Measure Robustness to Natural Distribution Shifts Alfred Laugros A. Caplier Matthieu Ospici 17 5 0 26 Jul 2021
Non-binary deep transfer learning for image classification J. Plested Xuyang Shen Tom Gedeon MQ 33 5 0 19 Jul 2021
Visual Representation Learning Does Not Generalize Strongly Within the Same Domain Lukas Schott Julius von Kügelgen Frederik Trauble Peter V. Gehler Chris Russell Matthias Bethge Bernhard Schölkopf Francesco Locatello Wieland Brendel OOD DRL 35 66 0 17 Jul 2021
Semi-Supervised Learning with Multi-Head Co-Training Mingcai Chen Yuntao Du Yi Zhang Shuwei Qian Chong-Jun Wang 14 28 0 10 Jul 2021
SSSE: Efficiently Erasing Samples from Trained Machine Learning Models Alexandra Peste Dan Alistarh Christoph H. Lampert MU 8 28 0 08 Jul 2021
Web-Scale Generic Object Detection at Microsoft Bing S. Chen Saurajit Mukherjee Unmesh Phadke Tingting Wang Junwon Park Ravi Theja Yada ObjD VLM 19 0 0 05 Jul 2021
How to Train Your MAML to Excel in Few-Shot Classification Han-Jia Ye Wei-Lun Chao 29 49 0 30 Jun 2021
The Evolution of Out-of-Distribution Robustness Throughout Fine-Tuning Anders Andreassen Yasaman Bahri Behnam Neyshabur Rebecca Roelofs OOD OODD 27 78 0 30 Jun 2021
Data Poisoning Won't Save You From Facial Recognition Evani Radiya-Dixit Sanghyun Hong Nicholas Carlini Florian Tramèr AAML PICV 15 57 0 28 Jun 2021
GAIA: A Transfer Learning System of Object Detection that Fits Your Needs Xingyuan Bu Junran Peng Junjie Yan T. Tan Zhaoxiang Zhang ObjD VLM 28 53 0 21 Jun 2021
Does Optimal Source Task Performance Imply Optimal Pre-training for a Target Task? Steven Gutstein Brent Lance Sanjay Shakkottai 27 1 0 21 Jun 2021
Towards Better Shale Gas Production Forecasting Using Transfer Learning Omar S. Alolayan Samuel J. Raymond J. Montgomery John R. Williams MedIm 14 18 0 21 Jun 2021
Interventional Video Grounding with Dual Contrastive Learning Guoshun Nan Rui Qiao Yao Xiao Jun Liu Sicong Leng H. Zhang Wei Lu 23 144 0 21 Jun 2021
Open-set Label Noise Can Improve Robustness Against Inherent Label Noise Hongxin Wei Lue Tao Renchunzi Xie Bo An NoLa 21 83 0 21 Jun 2021
Teacher's pet: understanding and mitigating biases in distillation Michal Lukasik Srinadh Bhojanapalli A. Menon Sanjiv Kumar 18 25 0 19 Jun 2021
Humble Teachers Teach Better Students for Semi-Supervised Object Detection Yihe Tang Weifeng Chen Yijun Luo Yuting Zhang 36 177 0 19 Jun 2021
Multi-Label Learning from Single Positive Labels Elijah Cole Oisin Mac Aodha Titouan Lorieul Pietro Perona Dan Morris Nebojsa Jojic 23 108 0 17 Jun 2021
Learning to Predict Visual Attributes in the Wild Khoi Pham Kushal Kafle Zhe-nan Lin Zhi Ding Scott D. Cohen Q. Tran Abhinav Shrivastava 16 107 0 17 Jun 2021
Scale-Consistent Fusion: from Heterogeneous Local Sampling to Global Immersive Rendering Wenpeng Xing Jie Chen Zaifeng Yang Qiang-qiang Wang 21 4 0 17 Jun 2021
Watching Too Much Television is Good: Self-Supervised Audio-Visual Representation Learning from Movies and TV Shows Mahdi M. Kalayeh Nagendra Kamath Lingyi Liu Ashok Chandrashekar SSL 24 2 0 16 Jun 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 33 356 0 15 Jun 2021
Noise-robust Graph Learning by Estimating and Leveraging Pairwise Interactions Xuefeng Du Tian Bian Yu Rong Bo Han Tongliang Liu Tingyang Xu Wenbing Huang Yixuan Li Junzhou Huang NoLa 30 11 0 14 Jun 2021