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1805.00932
Cited By
Exploring the Limits of Weakly Supervised Pretraining
2 May 2018
D. Mahajan
Ross B. Girshick
Vignesh Ramanathan
Kaiming He
Manohar Paluri
Shouqing Yang
Ashwin R. Bharambe
Laurens van der Maaten
VLM
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Papers citing
"Exploring the Limits of Weakly Supervised Pretraining"
50 / 847 papers shown
Using Synthetic Corruptions to Measure Robustness to Natural Distribution Shifts
British Machine Vision Conference (BMVC), 2021
Alfred Laugros
A. Caplier
Matthieu Ospici
151
7
0
26 Jul 2021
Non-binary deep transfer learning for image classification
International Conference on Neural Information Processing (ICONIP), 2021
J. Plested
Xuyang Shen
Tom Gedeon
MQ
114
6
0
19 Jul 2021
Visual Representation Learning Does Not Generalize Strongly Within the Same Domain
International Conference on Learning Representations (ICLR), 2021
Lukas Schott
Julius von Kügelgen
Frederik Trauble
Peter V. Gehler
Chris Russell
Matthias Bethge
Bernhard Schölkopf
Francesco Locatello
Wieland Brendel
OOD
DRL
386
77
0
17 Jul 2021
Semi-Supervised Learning with Multi-Head Co-Training
AAAI Conference on Artificial Intelligence (AAAI), 2021
Mingcai Chen
Yuntao Du
Yi Zhang
Shuwei Qian
Chong-Jun Wang
177
40
0
10 Jul 2021
SSSE: Efficiently Erasing Samples from Trained Machine Learning Models
Alexandra Peste
Dan Alistarh
Christoph H. Lampert
MU
135
36
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
180
0
0
05 Jul 2021
How to Train Your MAML to Excel in Few-Shot Classification
International Conference on Learning Representations (ICLR), 2021
Han-Jia Ye
Wei-Lun Chao
268
58
0
30 Jun 2021
The Evolution of Out-of-Distribution Robustness Throughout Fine-Tuning
Anders Andreassen
Yasaman Bahri
Behnam Neyshabur
Rebecca Roelofs
OOD
OODD
273
88
0
30 Jun 2021
Data Poisoning Won't Save You From Facial Recognition
International Conference on Learning Representations (ICLR), 2021
Evani Radiya-Dixit
Sanghyun Hong
Nicholas Carlini
Florian Tramèr
AAML
PICV
248
66
0
28 Jun 2021
GAIA: A Transfer Learning System of Object Detection that Fits Your Needs
Computer Vision and Pattern Recognition (CVPR), 2021
Xingyuan Bu
Junran Peng
Junjie Yan
Tieniu Tan
Zhaoxiang Zhang
ObjD
VLM
205
57
0
21 Jun 2021
Does Optimal Source Task Performance Imply Optimal Pre-training for a Target Task?
Steven Gutstein
Brent Lance
Sanjay Shakkottai
105
1
0
21 Jun 2021
Towards Better Shale Gas Production Forecasting Using Transfer Learning
Upstream Oil and Gas Technology (UOGT), 2021
Omar S. Alolayan
Samuel J. Raymond
J. Montgomery
John R. Williams
MedIm
75
22
0
21 Jun 2021
Interventional Video Grounding with Dual Contrastive Learning
Computer Vision and Pattern Recognition (CVPR), 2021
Guoshun Nan
Rui Qiao
Yao Xiao
Jun Liu
Sicong Leng
H. Zhang
Wei Lu
247
159
0
21 Jun 2021
Open-set Label Noise Can Improve Robustness Against Inherent Label Noise
Neural Information Processing Systems (NeurIPS), 2021
Jianguo Huang
Lue Tao
Renchunzi Xie
Bo An
NoLa
302
101
0
21 Jun 2021
Teacher's pet: understanding and mitigating biases in distillation
Michal Lukasik
Srinadh Bhojanapalli
A. Menon
Sanjiv Kumar
215
29
0
19 Jun 2021
Humble Teachers Teach Better Students for Semi-Supervised Object Detection
Computer Vision and Pattern Recognition (CVPR), 2021
Yihe Tang
Weifeng Chen
Yijun Luo
Yuting Zhang
267
211
0
19 Jun 2021
Multi-Label Learning from Single Positive Labels
Computer Vision and Pattern Recognition (CVPR), 2021
Elijah Cole
Oisin Mac Aodha
Titouan Lorieul
Pietro Perona
Dan Morris
Nebojsa Jojic
366
144
0
17 Jun 2021
Learning to Predict Visual Attributes in the Wild
Computer Vision and Pattern Recognition (CVPR), 2021
Khoi Pham
Kushal Kafle
Zhe Lin
Zhi Ding
Scott D. Cohen
Q. Tran
Abhinav Shrivastava
213
132
0
17 Jun 2021
Scale-Consistent Fusion: from Heterogeneous Local Sampling to Global Immersive Rendering
IEEE Transactions on Image Processing (TIP), 2021
Wenpeng Xing
Jie Chen
Zaifeng Yang
Qiang-qiang Wang
69
5
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
102
3
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
410
447
0
15 Jun 2021
Noise-robust Graph Learning by Estimating and Leveraging Pairwise Interactions
Xuefeng Du
Tian Bian
Yu Rong
Bo Han
Tongliang Liu
Qifeng Bai
Wenbing Huang
Shouqing Yang
Junzhou Huang
NoLa
233
20
0
14 Jun 2021
On the Robustness of Average Losses for Partial-Label Learning
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021
Jiaqi Lv
Biao Liu
Lei Feng
Ning Xu
Miao Xu
Bo An
Gang Niu
Xin Geng
Masashi Sugiyama
240
35
0
11 Jun 2021
Taxonomy of Machine Learning Safety: A Survey and Primer
ACM Computing Surveys (CSUR), 2021
Sina Mohseni
Haotao Wang
Zhiding Yu
Chaowei Xiao
Zinan Lin
J. Yadawa
314
47
0
09 Jun 2021
Scaling Vision Transformers
Computer Vision and Pattern Recognition (CVPR), 2021
Xiaohua Zhai
Alexander Kolesnikov
N. Houlsby
Lucas Beyer
ViT
474
1,311
0
08 Jun 2021
Large-scale Unsupervised Semantic Segmentation
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021
Shangqi Gao
Zhong-Yu Li
Ming-Hsuan Yang
Mingg-Ming Cheng
Junwei Han
Juil Sock
UQCV
372
118
0
06 Jun 2021
Self-Damaging Contrastive Learning
International Conference on Machine Learning (ICML), 2021
Ziyu Jiang
Tianlong Chen
Bobak J. Mortazavi
Zinan Lin
CLL
184
79
0
06 Jun 2021
Integrating Auxiliary Information in Self-supervised Learning
Yifan Hao
Tianqi Li
Weixin Liu
Peiyuan Liao
Ruslan Salakhutdinov
Louis-Philippe Morency
SSL
104
11
0
05 Jun 2021
Efficient Classification of Very Large Images with Tiny Objects
Computer Vision and Pattern Recognition (CVPR), 2021
Fanjie Kong
Ricardo Henao
272
37
0
04 Jun 2021
MexPub: Deep Transfer Learning for Metadata Extraction from German Publications
ACM/IEEE Joint Conference on Digital Libraries (JCDL), 2021
Zeyd Boukhers
Nada Beili
Timo Hartmann
Prantik Goswami
Muhammad Arslan Zafar
92
10
0
04 Jun 2021
TVDIM: Enhancing Image Self-Supervised Pretraining via Noisy Text Data
Pengda Qin
Yuhong Li
Kefeng Deng
Qiang Wu
126
1
0
03 Jun 2021
Personalizing Pre-trained Models
Mina Khan
P. Srivatsa
Advait Rane
Shriram Chenniappa
A. Hazariwala
Pattie Maes
VLM
201
7
0
02 Jun 2021
Rethinking Re-Sampling in Imbalanced Semi-Supervised Learning
Ju He
Adam Kortylewski
Shaokang Yang
Shuai Liu
Cheng Yang
Changhu Wang
Alan Yuille
113
26
0
01 Jun 2021
Large-Scale Attribute-Object Compositions
Filip Radenovic
Animesh Sinha
Albert Gordo
Tamara L. Berg
D. Mahajan
OCL
201
7
0
24 May 2021
Do We Really Need to Learn Representations from In-domain Data for Outlier Detection?
Zhisheng Xiao
Qing Yan
Y. Amit
OOD
UQCV
206
19
0
19 May 2021
Efficient Transfer Learning via Joint Adaptation of Network Architecture and Weight
European Conference on Computer Vision (ECCV), 2021
Ming Sun
Haoxuan Dou
Junjie Yan
92
3
0
19 May 2021
Vision Transformers are Robust Learners
AAAI Conference on Artificial Intelligence (AAAI), 2021
Sayak Paul
Pin-Yu Chen
ViT
360
352
0
17 May 2021
When Does Contrastive Visual Representation Learning Work?
Computer Vision and Pattern Recognition (CVPR), 2021
Elijah Cole
Xuan S. Yang
Kimberly Wilber
Oisin Mac Aodha
Serge Belongie
SSL
398
137
0
12 May 2021
VideoLT: Large-scale Long-tailed Video Recognition
IEEE International Conference on Computer Vision (ICCV), 2021
Xing Zhang
Zuxuan Wu
Zejia Weng
Huazhu Fu
Yue Yu
Yu-Gang Jiang
Larry S. Davis
287
49
0
06 May 2021
TABBIE: Pretrained Representations of Tabular Data
North American Chapter of the Association for Computational Linguistics (NAACL), 2021
H. Iida
Dung Ngoc Thai
Varun Manjunatha
Mohit Iyyer
LMTD
SSL
VLM
211
207
0
06 May 2021
Audio Retrieval with Natural Language Queries
Interspeech (Interspeech), 2021
Andreea-Maria Oncescu
A. Sophia Koepke
João F. Henriques
Zeynep Akata
Samuel Albanie
281
82
0
05 May 2021
Poisoning the Unlabeled Dataset of Semi-Supervised Learning
USENIX Security Symposium (USENIX Security), 2021
Nicholas Carlini
AAML
366
78
0
04 May 2021
MLP-Mixer: An all-MLP Architecture for Vision
Neural Information Processing Systems (NeurIPS), 2021
Ilya O. Tolstikhin
N. Houlsby
Alexander Kolesnikov
Lucas Beyer
Xiaohua Zhai
...
Andreas Steiner
Daniel Keysers
Jakob Uszkoreit
Mario Lucic
Alexey Dosovitskiy
1.2K
3,300
0
04 May 2021
A Deep Learning Framework for Lifelong Machine Learning
Charles X. Ling
Tanner A. Bohn
CLL
78
5
0
01 May 2021
Faster Meta Update Strategy for Noise-Robust Deep Learning
Computer Vision and Pattern Recognition (CVPR), 2021
Youjiang Xu
Linchao Zhu
Lu Jiang
Yi Yang
172
61
0
30 Apr 2021
Inspect, Understand, Overcome: A Survey of Practical Methods for AI Safety
Sebastian Houben
Stephanie Abrecht
Maram Akila
Andreas Bär
Felix Brockherde
...
Serin Varghese
Michael Weber
Sebastian J. Wirkert
Tim Wirtz
Matthias Woehrle
AAML
325
61
0
29 Apr 2021
Open-vocabulary Object Detection via Vision and Language Knowledge Distillation
International Conference on Learning Representations (ICLR), 2021
Xiuye Gu
Nayeon Lee
Weicheng Kuo
Huayu Chen
VLM
ObjD
872
1,151
0
28 Apr 2021
Boosting Co-teaching with Compression Regularization for Label Noise
Yingyi Chen
Xin Shen
S. Hu
Johan A. K. Suykens
NoLa
157
56
0
28 Apr 2021
Self-distillation with Batch Knowledge Ensembling Improves ImageNet Classification
Yixiao Ge
Xiao Zhang
Ching Lam Choi
Ka Chun Cheung
Peipei Zhao
Feng Zhu
Xiaogang Wang
Rui Zhao
Jiaming Song
FedML
UQCV
324
36
0
27 Apr 2021
If your data distribution shifts, use self-learning
E. Rusak
Steffen Schneider
George Pachitariu
L. Eck
Peter V. Gehler
Oliver Bringmann
Wieland Brendel
Matthias Bethge
VLM
OOD
TTA
430
36
0
27 Apr 2021
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