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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
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
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
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
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 $α$-Stable Bandits
Thompson Sampling on Symmetric ααα-Stable Bandits
Abhimanyu Dubey
Alex Pentland
14
6
0
08 Jul 2019
Introduction to Camera Pose Estimation with Deep Learning
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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?
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)
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
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
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
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
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
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
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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