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Billion-scale semi-supervised learning for image classification

Billion-scale semi-supervised learning for image classification

2 May 2019
I. Z. Yalniz
Hervé Jégou
Kan Chen
Manohar Paluri
D. Mahajan
    SSL
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Papers citing "Billion-scale semi-supervised learning for image classification"

50 / 110 papers shown
Title
Transferability in Deep Learning: A Survey
Transferability in Deep Learning: A Survey
Junguang Jiang
Yang Shu
Jianmin Wang
Mingsheng Long
OOD
31
101
0
15 Jan 2022
Contrastive Vision-Language Pre-training with Limited Resources
Contrastive Vision-Language Pre-training with Limited Resources
Quan Cui
Boyan Zhou
Yu Guo
Weidong Yin
Hao Wu
Osamu Yoshie
Yubo Chen
VLM
CLIP
19
32
0
17 Dec 2021
RegionCLIP: Region-based Language-Image Pretraining
RegionCLIP: Region-based Language-Image Pretraining
Yiwu Zhong
Jianwei Yang
Pengchuan Zhang
Chunyuan Li
Noel Codella
...
Luowei Zhou
Xiyang Dai
Lu Yuan
Yin Li
Jianfeng Gao
VLM
CLIP
32
552
0
16 Dec 2021
SEAL: Self-supervised Embodied Active Learning using Exploration and 3D
  Consistency
SEAL: Self-supervised Embodied Active Learning using Exploration and 3D Consistency
Devendra Singh Chaplot
Murtaza Dalal
Saurabh Gupta
Jitendra Malik
Ruslan Salakhutdinov
27
74
0
02 Dec 2021
MapReader: A Computer Vision Pipeline for the Semantic Exploration of
  Maps at Scale
MapReader: A Computer Vision Pipeline for the Semantic Exploration of Maps at Scale
Kasra Hosseini
Daniel C. S. Wilson
K. Beelen
Katherine McDonough
VLM
21
12
0
30 Nov 2021
Semi-Supervised Learning with Taxonomic Labels
Semi-Supervised Learning with Taxonomic Labels
Jong-Chyi Su
Subhransu Maji
33
10
0
23 Nov 2021
CamLessMonoDepth: Monocular Depth Estimation with Unknown Camera
  Parameters
CamLessMonoDepth: Monocular Depth Estimation with Unknown Camera Parameters
Sai Shyam Chanduri
Zeeshan Khan Suri
Igor Vozniak
Christian Müller
MDE
21
12
0
27 Oct 2021
Fine-Grained Adversarial Semi-supervised Learning
Fine-Grained Adversarial Semi-supervised Learning
Daniele Mugnai
F. Pernici
F. Turchini
A. Bimbo
22
8
0
12 Oct 2021
Adversarial Robustness Comparison of Vision Transformer and MLP-Mixer to
  CNNs
Adversarial Robustness Comparison of Vision Transformer and MLP-Mixer to CNNs
Philipp Benz
Soomin Ham
Chaoning Zhang
Adil Karjauv
In So Kweon
AAML
ViT
36
78
0
06 Oct 2021
ResNet strikes back: An improved training procedure in timm
ResNet strikes back: An improved training procedure in timm
Ross Wightman
Hugo Touvron
Hervé Jégou
AI4TS
209
487
0
01 Oct 2021
Habitat-Matterport 3D Dataset (HM3D): 1000 Large-scale 3D Environments
  for Embodied AI
Habitat-Matterport 3D Dataset (HM3D): 1000 Large-scale 3D Environments for Embodied AI
Santhosh Kumar Ramakrishnan
Aaron Gokaslan
Erik Wijmans
Oleksandr Maksymets
Alexander William Clegg
...
Andrew Westbury
Angel X. Chang
Manolis Savva
Yili Zhao
Dhruv Batra
22
367
0
16 Sep 2021
Compute and Energy Consumption Trends in Deep Learning Inference
Compute and Energy Consumption Trends in Deep Learning Inference
Radosvet Desislavov
Fernando Martínez-Plumed
José Hernández Orallo
35
113
0
12 Sep 2021
Robust fine-tuning of zero-shot models
Robust fine-tuning of zero-shot models
Mitchell Wortsman
Gabriel Ilharco
Jong Wook Kim
Mike Li
Simon Kornblith
...
Raphael Gontijo-Lopes
Hannaneh Hajishirzi
Ali Farhadi
Hongseok Namkoong
Ludwig Schmidt
VLM
23
688
0
04 Sep 2021
Self-training Improves Pre-training for Few-shot Learning in
  Task-oriented Dialog Systems
Self-training Improves Pre-training for Few-shot Learning in Task-oriented Dialog Systems
Fei Mi
Wanhao Zhou
Feng Cai
Lingjing Kong
Minlie Huang
Boi Faltings
27
32
0
28 Aug 2021
Multi-Task Self-Training for Learning General Representations
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
STAR: Noisy Semi-Supervised Transfer Learning for Visual Classification
STAR: Noisy Semi-Supervised Transfer Learning for Visual Classification
H. Zunair
Y. Gobeil
Samuel Mercier
A. Ben Hamza
22
3
0
18 Aug 2021
Data Poisoning Won't Save You From Facial Recognition
Data Poisoning Won't Save You From Facial Recognition
Evani Radiya-Dixit
Sanghyun Hong
Nicholas Carlini
Florian Tramèr
AAML
PICV
13
57
0
28 Jun 2021
DnS: Distill-and-Select for Efficient and Accurate Video Indexing and
  Retrieval
DnS: Distill-and-Select for Efficient and Accurate Video Indexing and Retrieval
Giorgos Kordopatis-Zilos
Christos Tzelepis
Symeon Papadopoulos
I. Kompatsiaris
Ioannis Patras
22
33
0
24 Jun 2021
GAIA: A Transfer Learning System of Object Detection that Fits Your
  Needs
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
Efficient Deep Learning: A Survey on Making Deep Learning Models
  Smaller, Faster, and Better
Efficient Deep Learning: A Survey on Making Deep Learning Models Smaller, Faster, and Better
Gaurav Menghani
VLM
MedIm
23
365
0
16 Jun 2021
Dynamic Distillation Network for Cross-Domain Few-Shot Recognition with
  Unlabeled Data
Dynamic Distillation Network for Cross-Domain Few-Shot Recognition with Unlabeled Data
Ashraful Islam
Chun-Fu Chen
Rameswar Panda
Leonid Karlinsky
Rogerio Feris
Richard J. Radke
28
84
0
14 Jun 2021
Partial success in closing the gap between human and machine vision
Partial success in closing the gap between human and machine vision
Robert Geirhos
Kantharaju Narayanappa
Benjamin Mitzkus
Tizian Thieringer
Matthias Bethge
Felix Wichmann
Wieland Brendel
VLM
AAML
40
221
0
14 Jun 2021
Gradual Domain Adaptation in the Wild:When Intermediate Distributions
  are Absent
Gradual Domain Adaptation in the Wild:When Intermediate Distributions are Absent
Samira Abnar
Rianne van den Berg
Golnaz Ghiasi
Mostafa Dehghani
Nal Kalchbrenner
Hanie Sedghi
OOD
CLL
TTA
18
20
0
10 Jun 2021
DASO: Distribution-Aware Semantics-Oriented Pseudo-label for Imbalanced
  Semi-Supervised Learning
DASO: Distribution-Aware Semantics-Oriented Pseudo-label for Imbalanced Semi-Supervised Learning
Youngtaek Oh
Dong-Jin Kim
In So Kweon
34
62
0
10 Jun 2021
Revisiting Point Cloud Shape Classification with a Simple and Effective
  Baseline
Revisiting Point Cloud Shape Classification with a Simple and Effective Baseline
Ankit Goyal
Hei Law
Bowei Liu
Alejandro Newell
Jia Deng
3DPC
33
229
0
09 Jun 2021
Robust Mutual Learning for Semi-supervised Semantic Segmentation
Robust Mutual Learning for Semi-supervised Semantic Segmentation
Pan Zhang
Bo Zhang
Ting Zhang
Dong Chen
Fang Wen
17
17
0
01 Jun 2021
Exploring Visual Engagement Signals for Representation Learning
Exploring Visual Engagement Signals for Representation Learning
Menglin Jia
Zuxuan Wu
A. Reiter
Claire Cardie
Serge J. Belongie
Ser-Nam Lim
19
13
0
15 Apr 2021
Compressing Visual-linguistic Model via Knowledge Distillation
Compressing Visual-linguistic Model via Knowledge Distillation
Zhiyuan Fang
Jianfeng Wang
Xiaowei Hu
Lijuan Wang
Yezhou Yang
Zicheng Liu
VLM
31
96
0
05 Apr 2021
Multiview Pseudo-Labeling for Semi-supervised Learning from Video
Multiview Pseudo-Labeling for Semi-supervised Learning from Video
Bo Xiong
Haoqi Fan
Kristen Grauman
Christoph Feichtenhofer
SSL
22
49
0
01 Apr 2021
A Realistic Evaluation of Semi-Supervised Learning for Fine-Grained
  Classification
A Realistic Evaluation of Semi-Supervised Learning for Fine-Grained Classification
Jong-Chyi Su
Zezhou Cheng
Subhransu Maji
23
57
0
01 Apr 2021
Learning from Noisy Labels via Dynamic Loss Thresholding
Learning from Noisy Labels via Dynamic Loss Thresholding
Hao Yang
Youzhi Jin
Zi-Hua Li
Deng-Bao Wang
Lei Miao
Xin Geng
Min-Ling Zhang
NoLa
AI4CE
24
6
0
01 Apr 2021
On the Adversarial Robustness of Vision Transformers
On the Adversarial Robustness of Vision Transformers
Rulin Shao
Zhouxing Shi
Jinfeng Yi
Pin-Yu Chen
Cho-Jui Hsieh
ViT
27
137
0
29 Mar 2021
More Photos are All You Need: Semi-Supervised Learning for Fine-Grained
  Sketch Based Image Retrieval
More Photos are All You Need: Semi-Supervised Learning for Fine-Grained Sketch Based Image Retrieval
A. Bhunia
Pinaki Nath Chowdhury
Aneeshan Sain
Yongxin Yang
Tao Xiang
Yi-Zhe Song
GAN
SSL
11
61
0
25 Mar 2021
Self-Supervised Pretraining Improves Self-Supervised Pretraining
Self-Supervised Pretraining Improves Self-Supervised Pretraining
Colorado Reed
Xiangyu Yue
Aniruddha Nrusimha
Sayna Ebrahimi
Vivek Vijaykumar
...
Shanghang Zhang
Devin Guillory
Sean L. Metzger
Kurt Keutzer
Trevor Darrell
25
105
0
23 Mar 2021
Multilingual Multimodal Pre-training for Zero-Shot Cross-Lingual
  Transfer of Vision-Language Models
Multilingual Multimodal Pre-training for Zero-Shot Cross-Lingual Transfer of Vision-Language Models
Po-Yao (Bernie) Huang
Mandela Patrick
Junjie Hu
Graham Neubig
Florian Metze
Alexander G. Hauptmann
MLLM
VLM
21
56
0
16 Mar 2021
Offboard 3D Object Detection from Point Cloud Sequences
Offboard 3D Object Detection from Point Cloud Sequences
C. Qi
Yin Zhou
Mahyar Najibi
Pei Sun
Khoa T. Vo
Boyang Deng
Dragomir Anguelov
3DPC
28
174
0
08 Mar 2021
WebFace260M: A Benchmark Unveiling the Power of Million-Scale Deep Face
  Recognition
WebFace260M: A Benchmark Unveiling the Power of Million-Scale Deep Face Recognition
Zheng Zhu
Guan Huang
Jiankang Deng
Yun Ye
Junjie Huang
...
Jiagang Zhu
Tian Yang
Jiwen Lu
Dalong Du
Jie Zhou
CVBM
33
248
0
06 Mar 2021
Pseudo-labeling for Scalable 3D Object Detection
Pseudo-labeling for Scalable 3D Object Detection
Benjamin Caine
Rebecca Roelofs
Vijay Vasudevan
Jiquan Ngiam
Yuning Chai
Z. Chen
Jonathon Shlens
29
41
0
02 Mar 2021
Concept Generalization in Visual Representation Learning
Concept Generalization in Visual Representation Learning
Mert Bulent Sariyildiz
Yannis Kalantidis
Diane Larlus
Alahari Karteek
SSL
21
50
0
10 Dec 2020
Grafit: Learning fine-grained image representations with coarse labels
Grafit: Learning fine-grained image representations with coarse labels
Hugo Touvron
Alexandre Sablayrolles
Matthijs Douze
Matthieu Cord
Hervé Jégou
SSL
27
68
0
25 Nov 2020
RDIS: Random Drop Imputation with Self-Training for Incomplete Time
  Series Data
RDIS: Random Drop Imputation with Self-Training for Incomplete Time Series Data
Taehyean Choi
Ji-Su Kang
Jong-Hwan Kim
SyDa
AI4TS
22
21
0
20 Oct 2020
Webly Supervised Image Classification with Metadata: Automatic Noisy
  Label Correction via Visual-Semantic Graph
Webly Supervised Image Classification with Metadata: Automatic Noisy Label Correction via Visual-Semantic Graph
Jingkang Yang
Weirong Chen
Litong Feng
Xiaopeng Yan
Huabin Zheng
Wayne Zhang
NoLa
25
13
0
12 Oct 2020
Scalable Transfer Learning with Expert Models
Scalable Transfer Learning with Expert Models
J. Puigcerver
C. Riquelme
Basil Mustafa
Cédric Renggli
André Susano Pinto
Sylvain Gelly
Daniel Keysers
N. Houlsby
27
62
0
28 Sep 2020
Learning from Few Samples: A Survey
Learning from Few Samples: A Survey
Nihar Bendre
Hugo Terashima-Marín
Peyman Najafirad
VLM
BDL
24
54
0
30 Jul 2020
Measuring Robustness to Natural Distribution Shifts in Image
  Classification
Measuring Robustness to Natural Distribution Shifts in Image Classification
Rohan Taori
Achal Dave
Vaishaal Shankar
Nicholas Carlini
Benjamin Recht
Ludwig Schmidt
OOD
22
530
0
01 Jul 2020
Rethinking Pre-training and Self-training
Rethinking Pre-training and Self-training
Barret Zoph
Golnaz Ghiasi
Tsung-Yi Lin
Yin Cui
Hanxiao Liu
E. D. Cubuk
Quoc V. Le
SSeg
24
645
0
11 Jun 2020
VirTex: Learning Visual Representations from Textual Annotations
VirTex: Learning Visual Representations from Textual Annotations
Karan Desai
Justin Johnson
SSL
VLM
19
432
0
11 Jun 2020
An Overview of Deep Semi-Supervised Learning
An Overview of Deep Semi-Supervised Learning
Yassine Ouali
C´eline Hudelot
Myriam Tami
SSL
HAI
19
294
0
09 Jun 2020
Self-Training for End-to-End Speech Translation
Self-Training for End-to-End Speech Translation
J. Pino
Qiantong Xu
Xutai Ma
M. Dousti
Yun Tang
33
59
0
03 Jun 2020
Naive-Student: Leveraging Semi-Supervised Learning in Video Sequences
  for Urban Scene Segmentation
Naive-Student: Leveraging Semi-Supervised Learning in Video Sequences for Urban Scene Segmentation
Liang-Chieh Chen
Raphael Gontijo-Lopes
Bowen Cheng
Maxwell D. Collins
E. D. Cubuk
Barret Zoph
Hartwig Adam
Jonathon Shlens
25
76
0
20 May 2020
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