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Exploring the Limits of Weakly Supervised Pretraining

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
ArXiv (abs)PDFHTML

Papers citing "Exploring the Limits of Weakly Supervised Pretraining"

50 / 847 papers shown
Title
Dissecting Deep Metric Learning Losses for Image-Text Retrieval
Dissecting Deep Metric Learning Losses for Image-Text RetrievalIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2022
Hong Xuan
Xi Chen
134
2
0
21 Oct 2022
G2NetPL: Generic Game-Theoretic Network for Partial-Label Image
  Classification
G2NetPL: Generic Game-Theoretic Network for Partial-Label Image Classification
R. Abdelfattah
Xin Zhang
M. Fouda
Xiang Wang
Song Wang
VLM
180
10
0
20 Oct 2022
Towards Realistic Low-resource Relation Extraction: A Benchmark with
  Empirical Baseline Study
Towards Realistic Low-resource Relation Extraction: A Benchmark with Empirical Baseline StudyConference on Empirical Methods in Natural Language Processing (EMNLP), 2022
Xin Xu
Xiang Chen
Ningyu Zhang
Xin Xie
Xi Chen
Huajun Chen
250
14
0
19 Oct 2022
LAION-5B: An open large-scale dataset for training next generation
  image-text models
LAION-5B: An open large-scale dataset for training next generation image-text modelsNeural Information Processing Systems (NeurIPS), 2022
Christoph Schuhmann
Romain Beaumont
Richard Vencu
Cade Gordon
Ross Wightman
...
Srivatsa Kundurthy
Katherine Crowson
Ludwig Schmidt
R. Kaczmarczyk
J. Jitsev
VLMMLLMCLIP
764
4,476
0
16 Oct 2022
LESS: Label-Efficient Semantic Segmentation for LiDAR Point Clouds
LESS: Label-Efficient Semantic Segmentation for LiDAR Point CloudsEuropean Conference on Computer Vision (ECCV), 2022
Minghua Liu
Yin Zhou
C. Qi
Boqing Gong
Hao Su
Drago Anguelov
3DPC
183
61
0
14 Oct 2022
Is synthetic data from generative models ready for image recognition?
Is synthetic data from generative models ready for image recognition?International Conference on Learning Representations (ICLR), 2022
Ruifei He
Shuyang Sun
Xin Yu
Chuhui Xue
Wenqing Zhang
Juil Sock
Song Bai
Xiaojuan Qi
456
375
0
14 Oct 2022
The Hidden Uniform Cluster Prior in Self-Supervised Learning
The Hidden Uniform Cluster Prior in Self-Supervised LearningInternational Conference on Learning Representations (ICLR), 2022
Mahmoud Assran
Randall Balestriero
Quentin Duval
Florian Bordes
Ishan Misra
Piotr Bojanowski
Pascal Vincent
Michael G. Rabbat
Nicolas Ballas
SSL
183
62
0
13 Oct 2022
The Equalization Losses: Gradient-Driven Training for Long-tailed Object
  Recognition
The Equalization Losses: Gradient-Driven Training for Long-tailed Object RecognitionIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
Jingru Tan
Yue Liu
Xin Lu
Yongqiang Yao
F. Yu
Tong He
Wanli Ouyang
186
21
0
11 Oct 2022
Training Deep Learning Algorithms on Synthetic Forest Images for Tree
  Detection
Training Deep Learning Algorithms on Synthetic Forest Images for Tree Detection
Vincent Grondin
F. Pomerleau
Philippe Giguère
3DPC
71
11
0
08 Oct 2022
Brief Introduction to Contrastive Learning Pretext Tasks for Visual
  Representation
Brief Introduction to Contrastive Learning Pretext Tasks for Visual Representation
Zhenyu Lu
VLMSSL
107
2
0
06 Oct 2022
The Lie Derivative for Measuring Learned Equivariance
The Lie Derivative for Measuring Learned EquivarianceInternational Conference on Learning Representations (ICLR), 2022
Nate Gruver
Marc Finzi
Micah Goldblum
A. Wilson
273
50
0
06 Oct 2022
Unbiased Scene Graph Generation using Predicate Similarities
Unbiased Scene Graph Generation using Predicate SimilaritiesIEEE Access (IEEE Access), 2022
Misaki Ohashi
Yusuke Matsui
256
1
0
03 Oct 2022
Visual representations in the human brain are aligned with large
  language models
Visual representations in the human brain are aligned with large language models
Adrien Doerig
Tim C Kietzmann
Emily J. Allen
Yihan Wu
Thomas Naselaris
Kendrick Norris Kay
I. Charest
156
27
0
23 Sep 2022
Exploring Visual Interpretability for Contrastive Language-Image
  Pre-training
Exploring Visual Interpretability for Contrastive Language-Image Pre-training
Yi Li
Hualiang Wang
Yiqun Duan
Han Xu
Xiaomeng Li
CLIPVLM
317
34
0
15 Sep 2022
VIPHY: Probing "Visible" Physical Commonsense Knowledge
VIPHY: Probing "Visible" Physical Commonsense KnowledgeConference on Empirical Methods in Natural Language Processing (EMNLP), 2022
Shikhar Singh
Ehsan Qasemi
Muhao Chen
224
7
0
15 Sep 2022
Joint Debiased Representation and Image Clustering Learning with
  Self-Supervision
Joint Debiased Representation and Image Clustering Learning with Self-Supervision
Shun Zheng
JaeEun Nam
Emilio Dorigatti
B. Bischl
Shekoofeh Azizi
Mina Rezaei
SSL
122
0
0
14 Sep 2022
PaLI: A Jointly-Scaled Multilingual Language-Image Model
PaLI: A Jointly-Scaled Multilingual Language-Image ModelInternational Conference on Learning Representations (ICLR), 2022
Xi Chen
Tianlin Li
Soravit Changpinyo
A. Piergiovanni
Piotr Padlewski
...
Andreas Steiner
A. Angelova
Xiaohua Zhai
N. Houlsby
Radu Soricut
MLLMVLM
678
896
0
14 Sep 2022
Inverse Image Frequency for Long-tailed Image Recognition
Inverse Image Frequency for Long-tailed Image RecognitionIEEE Transactions on Image Processing (IEEE TIP), 2022
Konstantinos Panagiotis Alexandridis
Shang Luo
Anh H. Nguyen
Jiankang Deng
Stefanos Zafeiriou
205
18
0
11 Sep 2022
A Principled Evaluation Protocol for Comparative Investigation of the
  Effectiveness of DNN Classification Models on Similar-but-non-identical
  Datasets
A Principled Evaluation Protocol for Comparative Investigation of the Effectiveness of DNN Classification Models on Similar-but-non-identical Datasets
Esla Timothy Anzaku
Haohan Wang
Arnout Van Messem
W. D. Neve
144
2
0
05 Sep 2022
Label Structure Preserving Contrastive Embedding for Multi-Label
  Learning with Missing Labels
Label Structure Preserving Contrastive Embedding for Multi-Label Learning with Missing Labels
Zhongchen Ma
Lisha Li
Qi-rong Mao
Songcan Chen
154
2
0
03 Sep 2022
PercentMatch: Percentile-based Dynamic Thresholding for Multi-Label
  Semi-Supervised Classification
PercentMatch: Percentile-based Dynamic Thresholding for Multi-Label Semi-Supervised Classification
Jun Huang
Alexander Huang
Beatriz C. Guerra
Yen-Yun Yu
160
6
0
30 Aug 2022
Towards Federated Learning against Noisy Labels via Local
  Self-Regularization
Towards Federated Learning against Noisy Labels via Local Self-RegularizationInternational Conference on Information and Knowledge Management (CIKM), 2022
Xue Jiang
Sheng Sun
Yuwei Wang
Min Liu
171
46
0
25 Aug 2022
How good are deep models in understanding the generated images?
How good are deep models in understanding the generated images?
Ali Borji
OOD
90
6
0
23 Aug 2022
Meta-Causal Feature Learning for Out-of-Distribution Generalization
Meta-Causal Feature Learning for Out-of-Distribution Generalization
Yuqing Wang
Xiangxian Li
Zhuang Qi
Jingyu Li
Xuelong Li
Xiangxu Meng
Lei Meng
OODOODDBDL
273
30
0
22 Aug 2022
PLMCL: Partial-Label Momentum Curriculum Learning for Multi-Label Image
  Classification
PLMCL: Partial-Label Momentum Curriculum Learning for Multi-Label Image Classification
R. Abdelfattah
Xin Zhang
Zhenyao Wu
Xinyi Wu
Xiang Wang
Song Wang
VLM
162
10
0
22 Aug 2022
A Unified Analysis of Mixed Sample Data Augmentation: A Loss Function
  Perspective
A Unified Analysis of Mixed Sample Data Augmentation: A Loss Function PerspectiveNeural Information Processing Systems (NeurIPS), 2022
Chanwoo Park
Sangdoo Yun
Sanghyuk Chun
AAML
175
39
0
21 Aug 2022
Deep Generative Views to Mitigate Gender Classification Bias Across
  Gender-Race Groups
Deep Generative Views to Mitigate Gender Classification Bias Across Gender-Race Groups
Sreeraj Ramachandran
A. Rattani
FaML
206
18
0
17 Aug 2022
Leveraging the HW/SW Optimizations and Ecosystems that Drive the AI
  Revolution
Leveraging the HW/SW Optimizations and Ecosystems that Drive the AI Revolution
H. Carvalho
P. Zaykov
Asim Ukaye
128
1
0
04 Aug 2022
Large-Scale Product Retrieval with Weakly Supervised Representation
  Learning
Large-Scale Product Retrieval with Weakly Supervised Representation Learning
Xiao Han
Kam Woh Ng
Sauradip Nag
Zhiyu Qu
DML
170
1
0
01 Aug 2022
Iterative Scene Graph Generation
Iterative Scene Graph GenerationNeural Information Processing Systems (NeurIPS), 2022
Siddhesh Khandelwal
Leonid Sigal
OCL
189
36
0
27 Jul 2022
AMF: Adaptable Weighting Fusion with Multiple Fine-tuning for Image
  Classification
AMF: Adaptable Weighting Fusion with Multiple Fine-tuning for Image Classification
Xuyang Shen
J. Plested
Sabrina Caldwell
Yiran Zhong
Tom Gedeon
142
3
0
26 Jul 2022
The Bearable Lightness of Big Data: Towards Massive Public Datasets in
  Scientific Machine Learning
The Bearable Lightness of Big Data: Towards Massive Public Datasets in Scientific Machine Learning
Wai Tong Chung
Kihoon Jung
Jacqueline H. Chen
M. Ihme
AI4CE
94
3
0
25 Jul 2022
Long-tailed Instance Segmentation using Gumbel Optimized Loss
Long-tailed Instance Segmentation using Gumbel Optimized LossEuropean Conference on Computer Vision (ECCV), 2022
Konstantinos Panagiotis Alexandridis
Jiankang Deng
A. Nguyen
Shang Luo
154
27
0
22 Jul 2022
Exploiting Unlabeled Data with Vision and Language Models for Object
  Detection
Exploiting Unlabeled Data with Vision and Language Models for Object DetectionEuropean Conference on Computer Vision (ECCV), 2022
Shiyu Zhao
Zhixing Zhang
S. Schulter
Long Zhao
Vijay Kumar B.G
Anastasis Stathopoulos
Manmohan Chandraker
Dimitris N. Metaxas
VLMObjD
163
121
0
18 Jul 2022
On the Strong Correlation Between Model Invariance and Generalization
On the Strong Correlation Between Model Invariance and GeneralizationNeural Information Processing Systems (NeurIPS), 2022
Weijian Deng
Stephen Gould
Liang Zheng
OOD
205
24
0
14 Jul 2022
Fine-grained Activities of People Worldwide
Fine-grained Activities of People WorldwideIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2022
J. Byrne
Greg Castañón
Zhongheng Li
G. Ettinger
175
5
0
11 Jul 2022
G2L: A Geometric Approach for Generating Pseudo-labels that Improve
  Transfer Learning
G2L: A Geometric Approach for Generating Pseudo-labels that Improve Transfer Learning
J. Kender
Bishwaranjan Bhattacharjee
Parijat Dube
Brian M. Belgodere
101
0
0
07 Jul 2022
The "Collections as ML Data" Checklist for Machine Learning & Cultural
  Heritage
The "Collections as ML Data" Checklist for Machine Learning & Cultural Heritage
Benjamin Charles Germain Lee
VLM
102
7
0
06 Jul 2022
When does Bias Transfer in Transfer Learning?
When does Bias Transfer in Transfer Learning?
Hadi Salman
Saachi Jain
Andrew Ilyas
Logan Engstrom
Eric Wong
Aleksander Madry
160
42
0
06 Jul 2022
Contrastive Cross-Modal Knowledge Sharing Pre-training for
  Vision-Language Representation Learning and Retrieval
Contrastive Cross-Modal Knowledge Sharing Pre-training for Vision-Language Representation Learning and Retrieval
Keyu Wen
Zhenshan Tan
Qingrong Cheng
Cheng Chen
X. Gu
VLM
168
1
0
02 Jul 2022
Measuring Forgetting of Memorized Training Examples
Measuring Forgetting of Memorized Training ExamplesInternational Conference on Learning Representations (ICLR), 2022
Matthew Jagielski
Om Thakkar
Florian Tramèr
Daphne Ippolito
Katherine Lee
...
Eric Wallace
Shuang Song
Abhradeep Thakurta
Nicolas Papernot
Chiyuan Zhang
TDI
356
132
0
30 Jun 2022
On Non-Random Missing Labels in Semi-Supervised Learning
On Non-Random Missing Labels in Semi-Supervised LearningInternational Conference on Learning Representations (ICLR), 2022
Xinting Hu
Yulei Niu
Chunyan Miao
Xiansheng Hua
Hanwang Zhang
281
21
0
29 Jun 2022
Beyond neural scaling laws: beating power law scaling via data pruning
Beyond neural scaling laws: beating power law scaling via data pruningNeural Information Processing Systems (NeurIPS), 2022
Ben Sorscher
Robert Geirhos
Shashank Shekhar
Surya Ganguli
Ari S. Morcos
1.4K
544
0
29 Jun 2022
Compressing Features for Learning with Noisy Labels
Compressing Features for Learning with Noisy LabelsIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2022
Yingyi Chen
S. Hu
Xin Shen
C. Ai
Johan A. K. Suykens
NoLa
142
22
0
27 Jun 2022
Towards Harnessing Feature Embedding for Robust Learning with Noisy
  Labels
Towards Harnessing Feature Embedding for Robust Learning with Noisy LabelsMachine-mediated learning (ML), 2022
Chuang Zhang
Li Shen
Jian Yang
Chen Gong
NoLa
150
5
0
27 Jun 2022
Deformable CNN and Imbalance-Aware Feature Learning for Singing
  Technique Classification
Deformable CNN and Imbalance-Aware Feature Learning for Singing Technique ClassificationInterspeech (Interspeech), 2022
Yuya Yamamoto
Juhan Nam
Hiroko Terasawa
173
9
0
24 Jun 2022
Video PreTraining (VPT): Learning to Act by Watching Unlabeled Online
  Videos
Video PreTraining (VPT): Learning to Act by Watching Unlabeled Online VideosNeural Information Processing Systems (NeurIPS), 2022
Bowen Baker
Ilge Akkaya
Peter Zhokhov
Joost Huizinga
Jie Tang
Adrien Ecoffet
Brandon Houghton
Raul Sampedro
Jeff Clune
OffRL
434
361
0
23 Jun 2022
KTN: Knowledge Transfer Network for Learning Multi-person 2D-3D
  Correspondences
KTN: Knowledge Transfer Network for Learning Multi-person 2D-3D Correspondences
Xuanhan Wang
Lianli Gao
Yixuan Zhou
Jingkuan Song
Ming Wang
3DH
200
15
0
21 Jun 2022
Understanding Robust Learning through the Lens of Representation
  Similarities
Understanding Robust Learning through the Lens of Representation SimilaritiesNeural Information Processing Systems (NeurIPS), 2022
Christian Cianfarani
A. Bhagoji
Vikash Sehwag
Ben Y. Zhao
Prateek Mittal
Haitao Zheng
OOD
308
18
0
20 Jun 2022
DualCoOp: Fast Adaptation to Multi-Label Recognition with Limited
  Annotations
DualCoOp: Fast Adaptation to Multi-Label Recognition with Limited AnnotationsNeural Information Processing Systems (NeurIPS), 2022
Ximeng Sun
Ping Hu
Kate Saenko
VLM
240
160
0
20 Jun 2022
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