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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
Yixuan Li
Ashwin R. Bharambe
L. V. D. van der Maaten
VLM
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Papers citing
"Exploring the Limits of Weakly Supervised Pretraining"
50 / 825 papers shown
Title
Bringing Giant Neural Networks Down to Earth with Unlabeled Data
Yehui Tang
Shan You
Chang Xu
Boxin Shi
Chao Xu
8
11
0
13 Jul 2019
And the Bit Goes Down: Revisiting the Quantization of Neural Networks
Pierre Stock
Armand Joulin
Rémi Gribonval
Benjamin Graham
Hervé Jégou
MQ
29
149
0
12 Jul 2019
Large Memory Layers with Product Keys
Guillaume Lample
Alexandre Sablayrolles
MarcÁurelio Ranzato
Ludovic Denoyer
Hervé Jégou
MoE
19
131
0
10 Jul 2019
Thompson Sampling on Symmetric
α
α
α
-Stable Bandits
Abhimanyu Dubey
Alex Pentland
14
6
0
08 Jul 2019
Introduction to Camera Pose Estimation with Deep Learning
Yoli Shavit
Ron Ferens
20
67
0
08 Jul 2019
Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-shot Cross-dataset Transfer
René Ranftl
Katrin Lasinger
David Hafner
Konrad Schindler
V. Koltun
MDE
19
1,745
0
02 Jul 2019
Fixing the train-test resolution discrepancy
Hugo Touvron
Andrea Vedaldi
Matthijs Douze
Hervé Jégou
30
420
0
14 Jun 2019
CRCEN: A Generalized Cost-sensitive Neural Network Approach for Imbalanced Classification
Xiangrui Li
D. Zhu
14
0
0
10 Jun 2019
HowTo100M: Learning a Text-Video Embedding by Watching Hundred Million Narrated Video Clips
Antoine Miech
Dimitri Zhukov
Jean-Baptiste Alayrac
Makarand Tapaswi
Ivan Laptev
Josef Sivic
VGen
25
1,172
0
07 Jun 2019
PseudoEdgeNet: Nuclei Segmentation only with Point Annotations
Inwan Yoo
Donggeun Yoo
K. Paeng
20
76
0
07 Jun 2019
Multi-task Pairwise Neural Ranking for Hashtag Segmentation
Mounica Maddela
W. Xu
Daniel Preotiuc-Pietro
11
11
0
03 Jun 2019
Time Series Anomaly Detection Using Convolutional Neural Networks and Transfer Learning
Tailai Wen
Roy Keyes
AI4TS
31
125
0
31 May 2019
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
Mingxing Tan
Quoc V. Le
3DV
MedIm
11
17,721
0
28 May 2019
Learning Image-Specific Attributes by Hyperbolic Neighborhood Graph Propagation
Xiaofeng Xu
Ivor W. Tsang
Xiaofeng Cao
Ruiheng Zhang
Chuancai Liu
9
4
0
20 May 2019
Training Object Detectors With Noisy Data
Simon Chadwick
Paul Newman
NoLa
13
36
0
17 May 2019
Deep Unified Multimodal Embeddings for Understanding both Content and Users in Social Media Networks
Karan Sikka
Lucas Van Bramer
Ajay Divakaran
12
1
0
17 May 2019
CutMix: Regularization Strategy to Train Strong Classifiers with Localizable Features
Sangdoo Yun
Dongyoon Han
Seong Joon Oh
Sanghyuk Chun
Junsuk Choe
Y. Yoo
OOD
304
4,686
0
13 May 2019
Forecasting Pedestrian Trajectory with Machine-Annotated Training Data
Olly Styles
Arun Ross
Victor Sanchez
16
35
0
09 May 2019
Learning Loss for Active Learning
Donggeun Yoo
In So Kweon
UQCV
10
652
0
09 May 2019
Learning to Interpret Satellite Images in Global Scale Using Wikipedia
Burak Uzkent
Evan Sheehan
Chenlin Meng
Zhongyi Tang
Marshall Burke
David B. Lobell
Stefano Ermon
SSL
15
30
0
07 May 2019
Unsupervised Pre-Training of Image Features on Non-Curated Data
Mathilde Caron
Piotr Bojanowski
Julien Mairal
Armand Joulin
SSL
22
9
0
03 May 2019
Scaling and Benchmarking Self-Supervised Visual Representation Learning
Priya Goyal
D. Mahajan
Abhinav Gupta
Ishan Misra
SSL
24
396
0
03 May 2019
Large-scale weakly-supervised pre-training for video action recognition
Deepti Ghadiyaram
Matt Feiszli
Du Tran
Xueting Yan
Heng Wang
D. Mahajan
6
297
0
02 May 2019
Billion-scale semi-supervised learning for image classification
I. Z. Yalniz
Hervé Jégou
Kan Chen
Manohar Paluri
D. Mahajan
SSL
10
458
0
02 May 2019
A critical analysis of self-supervision, or what we can learn from a single image
Yuki M. Asano
Christian Rupprecht
Andrea Vedaldi
SSL
11
144
0
30 Apr 2019
Unsupervised Discovery of Multimodal Links in Multi-image, Multi-sentence Documents
Jack Hessel
Lillian Lee
David M. Mimno
20
30
0
16 Apr 2019
An Analysis of Pre-Training on Object Detection
Hengduo Li
Bharat Singh
Mahyar Najibi
Zuxuan Wu
L. Davis
ObjD
6
39
0
11 Apr 2019
Elucidating image-to-set prediction: An analysis of models, losses and datasets
Luis Villaseñor-Pineda
Amaia Salvador
M. Drozdzal
Adriana Romero
17
12
0
11 Apr 2019
CondConv: Conditionally Parameterized Convolutions for Efficient Inference
Brandon Yang
Gabriel Bender
Quoc V. Le
Jiquan Ngiam
MedIm
3DV
18
621
0
10 Apr 2019
Modularized Textual Grounding for Counterfactual Resilience
Zhiyuan Fang
Shu Kong
Charless C. Fowlkes
Yezhou Yang
14
32
0
07 Apr 2019
Data Shapley: Equitable Valuation of Data for Machine Learning
Amirata Ghorbani
James Y. Zou
TDI
FedML
14
751
0
05 Apr 2019
Sequence-to-Sequence Speech Recognition with Time-Depth Separable Convolutions
Awni Y. Hannun
Ann Lee
Qiantong Xu
R. Collobert
26
95
0
04 Apr 2019
Overcoming Catastrophic Forgetting with Unlabeled Data in the Wild
Kibok Lee
Kimin Lee
Jinwoo Shin
Honglak Lee
CLL
26
201
0
29 Mar 2019
Cross-Modal Data Programming Enables Rapid Medical Machine Learning
Jared A. Dunnmon
Alexander Ratner
Nishith Khandwala
Khaled Kamal Saab
Matthew Markert
...
R. Goldman
Christopher Lee-Messer
M. Lungren
D. Rubin
Christopher Ré
MedIm
11
73
0
26 Mar 2019
Improving Strong-Scaling of CNN Training by Exploiting Finer-Grained Parallelism
Nikoli Dryden
N. Maruyama
Tom Benson
Tim Moon
M. Snir
B. Van Essen
10
49
0
15 Mar 2019
Defense Against Adversarial Images using Web-Scale Nearest-Neighbor Search
Abhimanyu Dubey
L. V. D. van der Maaten
Zeki Yalniz
Yixuan Li
D. Mahajan
AAML
19
62
0
05 Mar 2019
Less is More: Learning Highlight Detection from Video Duration
Bo Xiong
Yannis Kalantidis
Deepti Ghadiyaram
Kristen Grauman
6
108
0
03 Mar 2019
Object Discovery From a Single Unlabeled Image by Mining Frequent Itemset With Multi-scale Features
Runsheng Zhang
Yaping Huang
Mengyang Pu
Jian Zhang
Q. Guan
Qi Zou
Haibin Ling
ObjD
22
31
0
26 Feb 2019
Learning a Deep ConvNet for Multi-label Classification with Partial Labels
Thibaut Durand
Nazanin Mehrasa
Greg Mori
SSL
16
227
0
26 Feb 2019
Self-supervised Visual Feature Learning with Deep Neural Networks: A Survey
Longlong Jing
Yingli Tian
SSL
20
1,686
0
16 Feb 2019
MultiGrain: a unified image embedding for classes and instances
Maxim Berman
Hervé Jégou
Andrea Vedaldi
Iasonas Kokkinos
Matthijs Douze
13
110
0
14 Feb 2019
Robust Inference via Generative Classifiers for Handling Noisy Labels
Kimin Lee
Sukmin Yun
Kibok Lee
Honglak Lee
Bo-wen Li
Jinwoo Shin
NoLa
17
134
0
31 Jan 2019
Is Pretraining Necessary for Hyperspectral Image Classification?
Hyungtae Lee
Sungmin Eum
H. Kwon
SSeg
9
14
0
24 Jan 2019
Evaluating Text-to-Image Matching using Binary Image Selection (BISON)
Hexiang Hu
Ishan Misra
L. V. D. van der Maaten
24
22
0
19 Jan 2019
Class-Balanced Loss Based on Effective Number of Samples
Yin Cui
Menglin Jia
Tsung-Yi Lin
Yang Song
Serge J. Belongie
15
2,222
0
16 Jan 2019
Deep Learning for Human Affect Recognition: Insights and New Developments
Philipp V. Rouast
M. Adam
R. Chiong
24
167
0
09 Jan 2019
D3TW: Discriminative Differentiable Dynamic Time Warping for Weakly Supervised Action Alignment and Segmentation
C. Chang
De-An Huang
Yanan Sui
Li Fei-Fei
Juan Carlos Niebles
22
156
0
09 Jan 2019
Self-Supervised Learning from Web Data for Multimodal Retrieval
Raul Gomez
Lluís Gómez
J. Gibert
Dimosthenis Karatzas
13
22
0
07 Jan 2019
Weakly Supervised Active Learning with Cluster Annotation
Fábio Perez
R. Lebret
Karl Aberer
11
10
0
31 Dec 2018
Inverse Cooking: Recipe Generation from Food Images
Amaia Salvador
M. Drozdzal
Xavier Giró-i-Nieto
Adriana Romero
16
147
0
14 Dec 2018
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