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Semi-Supervised Learning of Visual Features by Non-Parametrically
  Predicting View Assignments with Support Samples

Semi-Supervised Learning of Visual Features by Non-Parametrically Predicting View Assignments with Support Samples

28 April 2021
Mahmoud Assran
Mathilde Caron
Ishan Misra
Piotr Bojanowski
Armand Joulin
Nicolas Ballas
Michael G. Rabbat
    SSL
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Papers citing "Semi-Supervised Learning of Visual Features by Non-Parametrically Predicting View Assignments with Support Samples"

50 / 101 papers shown
Title
ProtoCon: Pseudo-label Refinement via Online Clustering and Prototypical
  Consistency for Efficient Semi-supervised Learning
ProtoCon: Pseudo-label Refinement via Online Clustering and Prototypical Consistency for Efficient Semi-supervised Learning
Islam Nassar
Munawar Hayat
Ehsan Abbasnejad
Hamid Rezatofighi
Gholamreza Haffari
26
17
0
22 Mar 2023
STUNT: Few-shot Tabular Learning with Self-generated Tasks from
  Unlabeled Tables
STUNT: Few-shot Tabular Learning with Self-generated Tasks from Unlabeled Tables
Jaehyun Nam
Jihoon Tack
Kyungmin Lee
Hankook Lee
Jinwoo Shin
LMTD
SSL
13
31
0
02 Mar 2023
RoPAWS: Robust Semi-supervised Representation Learning from Uncurated
  Data
RoPAWS: Robust Semi-supervised Representation Learning from Uncurated Data
Sangwoo Mo
Jong-Chyi Su
Chih-Yao Ma
Mido Assran
Ishan Misra
Licheng Yu
Sean Bell
AI4TS
27
13
0
28 Feb 2023
Diffusion Models and Semi-Supervised Learners Benefit Mutually with Few
  Labels
Diffusion Models and Semi-Supervised Learners Benefit Mutually with Few Labels
Zebin You
Yong Zhong
Fan Bao
Jiacheng Sun
Chongxuan Li
Jun Zhu
DiffM
VLM
201
36
0
21 Feb 2023
Q-Match: Self-Supervised Learning by Matching Distributions Induced by a
  Queue
Q-Match: Self-Supervised Learning by Matching Distributions Induced by a Queue
Thomas Mulc
Debidatta Dwibedi
SSL
10
0
0
10 Feb 2023
Self-Supervised Learning from Images with a Joint-Embedding Predictive
  Architecture
Self-Supervised Learning from Images with a Joint-Embedding Predictive Architecture
Mahmoud Assran
Quentin Duval
Ishan Misra
Piotr Bojanowski
Pascal Vincent
Michael G. Rabbat
Yann LeCun
Nicolas Ballas
SSL
AI4TS
MDE
27
318
0
19 Jan 2023
Learning Customized Visual Models with Retrieval-Augmented Knowledge
Learning Customized Visual Models with Retrieval-Augmented Knowledge
Haotian Liu
Kilho Son
Jianwei Yang
Ce Liu
Jianfeng Gao
Yong Jae Lee
Chunyuan Li
VLM
38
53
0
17 Jan 2023
SemPPL: Predicting pseudo-labels for better contrastive representations
SemPPL: Predicting pseudo-labels for better contrastive representations
Matko Bovsnjak
Pierre Harvey Richemond
Nenad Tomašev
Florian Strub
Jacob Walker
Felix Hill
Lars Buesing
Razvan Pascanu
Charles Blundell
Jovana Mitrović
SSL
VLM
41
9
0
12 Jan 2023
DeepCut: Unsupervised Segmentation using Graph Neural Networks
  Clustering
DeepCut: Unsupervised Segmentation using Graph Neural Networks Clustering
Amit Aflalo
Shai Bagon
Tamar Kashti
Yonina C. Eldar
GNN
16
34
0
12 Dec 2022
A soft nearest-neighbor framework for continual semi-supervised learning
A soft nearest-neighbor framework for continual semi-supervised learning
Zhiqi Kang
Enrico Fini
Moin Nabi
Elisa Ricci
Alahari Karteek
SSL
BDL
CLL
14
17
0
09 Dec 2022
Location-Aware Self-Supervised Transformers for Semantic Segmentation
Location-Aware Self-Supervised Transformers for Semantic Segmentation
Mathilde Caron
N. Houlsby
Cordelia Schmid
ViT
16
10
0
05 Dec 2022
Semi-supervised binary classification with latent distance learning
Semi-supervised binary classification with latent distance learning
Imam Mustafa Kamal
Hyerim Bae
SSL
14
3
0
28 Nov 2022
Parametric Classification for Generalized Category Discovery: A Baseline
  Study
Parametric Classification for Generalized Category Discovery: A Baseline Study
Xin Wen
Bingchen Zhao
Xiaojuan Qi
30
67
0
21 Nov 2022
Prompt Tuning for Parameter-efficient Medical Image Segmentation
Prompt Tuning for Parameter-efficient Medical Image Segmentation
Marc Fischer
Alexander Bartler
Bin Yang
SSeg
14
18
0
16 Nov 2022
LAVA: Label-efficient Visual Learning and Adaptation
LAVA: Label-efficient Visual Learning and Adaptation
Islam Nassar
Munawar Hayat
Ehsan Abbasnejad
Hamid Rezatofighi
Mehrtash Harandi
Gholamreza Haffari
VLM
24
1
0
19 Oct 2022
Non-Contrastive Learning Meets Language-Image Pre-Training
Non-Contrastive Learning Meets Language-Image Pre-Training
Jinghao Zhou
Li Dong
Zhe Gan
Lijuan Wang
Furu Wei
VLM
CLIP
17
26
0
17 Oct 2022
The Hidden Uniform Cluster Prior in Self-Supervised Learning
The Hidden Uniform Cluster Prior in Self-Supervised Learning
Mahmoud Assran
Randall Balestriero
Quentin Duval
Florian Bordes
Ishan Misra
Piotr Bojanowski
Pascal Vincent
Michael G. Rabbat
Nicolas Ballas
SSL
44
46
0
13 Oct 2022
On the Importance of Calibration in Semi-supervised Learning
On the Importance of Calibration in Semi-supervised Learning
Charlotte Loh
Rumen Dangovski
Shivchander Sudalairaj
Seung-Jun Han
Ligong Han
Leonid Karlinsky
Marin Soljacic
Akash Srivastava
22
6
0
10 Oct 2022
Effective Self-supervised Pre-training on Low-compute Networks without
  Distillation
Effective Self-supervised Pre-training on Low-compute Networks without Distillation
Fuwen Tan
F. Saleh
Brais Martínez
27
4
0
06 Oct 2022
Measuring the Interpretability of Unsupervised Representations via
  Quantized Reverse Probing
Measuring the Interpretability of Unsupervised Representations via Quantized Reverse Probing
Iro Laina
Yuki M. Asano
Andrea Vedaldi
SSL
21
8
0
07 Sep 2022
Semi-Supervised Domain Adaptation by Similarity based Pseudo-label
  Injection
Semi-Supervised Domain Adaptation by Similarity based Pseudo-label Injection
Abhay Rawat
Isha Dua
Saurav Gupta
Rahul Tallamraju
11
1
0
05 Sep 2022
Semi-supervised Vision Transformers at Scale
Semi-supervised Vision Transformers at Scale
Zhaowei Cai
Avinash Ravichandran
Paolo Favaro
Manchen Wang
Davide Modolo
Rahul Bhotika
Z. Tu
Stefano Soatto
ViT
13
55
0
11 Aug 2022
Augmentation Learning for Semi-Supervised Classification
Augmentation Learning for Semi-Supervised Classification
Tim Frommknecht
Pedro Alves Zipf
Quanfu Fan
Nina Shvetsova
Hilde Kuehne
17
2
0
03 Aug 2022
MemSAC: Memory Augmented Sample Consistency for Large Scale Unsupervised
  Domain Adaptation
MemSAC: Memory Augmented Sample Consistency for Large Scale Unsupervised Domain Adaptation
Tarun Kalluri
Astuti Sharma
Manmohan Chandraker
15
18
0
25 Jul 2022
Improving Test-Time Adaptation via Shift-agnostic Weight Regularization
  and Nearest Source Prototypes
Improving Test-Time Adaptation via Shift-agnostic Weight Regularization and Nearest Source Prototypes
Sungha Choi
Seunghan Yang
Seokeon Choi
Sungrack Yun
TTA
OOD
25
64
0
24 Jul 2022
Cycle Self-Training for Semi-Supervised Object Detection with
  Distribution Consistency Reweighting
Cycle Self-Training for Semi-Supervised Object Detection with Distribution Consistency Reweighting
Hao Liu
Bin Chen
Bo Wang
Chunpeng Wu
Feng Dai
Peng Wu
4
7
0
12 Jul 2022
No Reason for No Supervision: Improved Generalization in Supervised
  Models
No Reason for No Supervision: Improved Generalization in Supervised Models
Mert Bulent Sariyildiz
Yannis Kalantidis
Alahari Karteek
Diane Larlus
SSL
OOD
LRM
17
28
0
30 Jun 2022
Masked Siamese ConvNets
Masked Siamese ConvNets
L. Jing
Jiachen Zhu
Yann LeCun
SSL
35
34
0
15 Jun 2022
A Closer Look at Self-Supervised Lightweight Vision Transformers
A Closer Look at Self-Supervised Lightweight Vision Transformers
Shaoru Wang
Jin Gao
Zeming Li
Jian-jun Sun
Weiming Hu
ViT
62
41
0
28 May 2022
TransBoost: Improving the Best ImageNet Performance using Deep
  Transduction
TransBoost: Improving the Best ImageNet Performance using Deep Transduction
Omer Belhasin
Guy Bar-Shalom
Ran El-Yaniv
ViT
24
3
0
26 May 2022
Masked Siamese Networks for Label-Efficient Learning
Masked Siamese Networks for Label-Efficient Learning
Mahmoud Assran
Mathilde Caron
Ishan Misra
Piotr Bojanowski
Florian Bordes
Pascal Vincent
Armand Joulin
Michael G. Rabbat
Nicolas Ballas
SSL
16
311
0
14 Apr 2022
S4OD: Semi-Supervised learning for Single-Stage Object Detection
S4OD: Semi-Supervised learning for Single-Stage Object Detection
Yueming Zhang
Xingxu Yao
Chao-Jung Liu
F. Chen
Xiaolin Song
Tengfei Xing
Runbo Hu
Hua Chai
Pengfei Xu
Guoshan Zhang
ObjD
34
7
0
09 Apr 2022
GraFN: Semi-Supervised Node Classification on Graph with Few Labels via
  Non-Parametric Distribution Assignment
GraFN: Semi-Supervised Node Classification on Graph with Few Labels via Non-Parametric Distribution Assignment
Junseok Lee
Yunhak Oh
Yeonjun In
Namkyeong Lee
Dongmin Hyun
Chanyoung Park
13
12
0
04 Apr 2022
SimMatch: Semi-supervised Learning with Similarity Matching
SimMatch: Semi-supervised Learning with Similarity Matching
Mingkai Zheng
Shan You
Lang Huang
Fei Wang
Chao Qian
Chang Xu
30
171
0
14 Mar 2022
How to Exploit Hyperspherical Embeddings for Out-of-Distribution
  Detection?
How to Exploit Hyperspherical Embeddings for Out-of-Distribution Detection?
Yifei Ming
Yiyou Sun
Ousmane Amadou Dia
Yixuan Li
OODD
24
95
0
08 Mar 2022
ChimeraMix: Image Classification on Small Datasets via Masked Feature
  Mixing
ChimeraMix: Image Classification on Small Datasets via Masked Feature Mixing
Christoph Reinders
Frederik Schubert
Bodo Rosenhahn
11
7
0
23 Feb 2022
Debiased Self-Training for Semi-Supervised Learning
Debiased Self-Training for Semi-Supervised Learning
Baixu Chen
Junguang Jiang
Ximei Wang
Pengfei Wan
Jianmin Wang
Mingsheng Long
26
85
0
15 Feb 2022
AggMatch: Aggregating Pseudo Labels for Semi-Supervised Learning
AggMatch: Aggregating Pseudo Labels for Semi-Supervised Learning
Jiwon Kim
Kwang-seok Ryoo
Gyuseong Lee
Seokju Cho
Junyoung Seo
Daehwan Kim
Hansang Cho
Seung Wook Kim
24
1
0
25 Jan 2022
Pushing the limits of self-supervised ResNets: Can we outperform
  supervised learning without labels on ImageNet?
Pushing the limits of self-supervised ResNets: Can we outperform supervised learning without labels on ImageNet?
Nenad Tomašev
Ioana Bica
Brian McWilliams
Lars Buesing
Razvan Pascanu
Charles Blundell
Jovana Mitrović
SSL
74
80
0
13 Jan 2022
Debiased Learning from Naturally Imbalanced Pseudo-Labels
Debiased Learning from Naturally Imbalanced Pseudo-Labels
Xudong Wang
Zhi-Li Wu
Long Lian
Stella X. Yu
34
92
0
05 Jan 2022
Simple and Effective Balance of Contrastive Losses
Simple and Effective Balance of Contrastive Losses
Arnaud Sors
Rafael Sampaio de Rezende
Sarah Ibrahimi
J. Andreoli
SSL
14
1
0
22 Dec 2021
Are Large-scale Datasets Necessary for Self-Supervised Pre-training?
Are Large-scale Datasets Necessary for Self-Supervised Pre-training?
Alaaeldin El-Nouby
Gautier Izacard
Hugo Touvron
Ivan Laptev
Hervé Jégou
Edouard Grave
SSL
15
148
0
20 Dec 2021
Constrained Mean Shift Using Distant Yet Related Neighbors for
  Representation Learning
Constrained Mean Shift Using Distant Yet Related Neighbors for Representation Learning
K. Navaneet
Soroush Abbasi Koohpayegani
Ajinkya Tejankar
Kossar Pourahmadi
Akshayvarun Subramanya
Hamed Pirsiavash
SSL
19
8
0
08 Dec 2021
Sustainable AI: Environmental Implications, Challenges and Opportunities
Sustainable AI: Environmental Implications, Challenges and Opportunities
Carole-Jean Wu
Ramya Raghavendra
Udit Gupta
Bilge Acun
Newsha Ardalani
...
Maximilian Balandat
Joe Spisak
R. Jain
Michael G. Rabbat
K. Hazelwood
32
379
0
30 Oct 2021
Understanding Dimensional Collapse in Contrastive Self-supervised
  Learning
Understanding Dimensional Collapse in Contrastive Self-supervised Learning
Li Jing
Pascal Vincent
Yann LeCun
Yuandong Tian
SSL
11
336
0
18 Oct 2021
Unsupervised Selective Labeling for More Effective Semi-Supervised
  Learning
Unsupervised Selective Labeling for More Effective Semi-Supervised Learning
Xudong Wang
Long Lian
Stella X. Yu
186
33
0
06 Oct 2021
Self-Rule to Multi-Adapt: Generalized Multi-source Feature Learning
  Using Unsupervised Domain Adaptation for Colorectal Cancer Tissue Detection
Self-Rule to Multi-Adapt: Generalized Multi-source Feature Learning Using Unsupervised Domain Adaptation for Colorectal Cancer Tissue Detection
C. Abbet
Linda Studer
Andreas Fischer
H. Dawson
I. Zlobec
Behzad Bozorgtabar
Jean-Philippe Thiran
OOD
37
31
0
20 Aug 2021
LaplaceNet: A Hybrid Graph-Energy Neural Network for Deep
  Semi-Supervised Classification
LaplaceNet: A Hybrid Graph-Energy Neural Network for Deep Semi-Supervised Classification
P. Sellars
Angelica I. Aviles-Rivero
Carola-Bibiane Schönlieb
21
8
0
08 Jun 2021
A Practical Tutorial on Graph Neural Networks
A Practical Tutorial on Graph Neural Networks
I. Ward
J. Joyner
C. Lickfold
Yulan Guo
Bennamoun
GNN
AI4CE
22
12
0
11 Oct 2020
Meta Pseudo Labels
Meta Pseudo Labels
Hieu H. Pham
Zihang Dai
Qizhe Xie
Minh-Thang Luong
Quoc V. Le
VLM
250
656
0
23 Mar 2020
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