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Self-Supervised Learning of Pretext-Invariant Representations

Self-Supervised Learning of Pretext-Invariant Representations

Computer Vision and Pattern Recognition (CVPR), 2019
4 December 2019
Ishan Misra
Laurens van der Maaten
    SSLVLM
ArXiv (abs)PDFHTML

Papers citing "Self-Supervised Learning of Pretext-Invariant Representations"

50 / 922 papers shown
CATE Estimation With Potential Outcome Imputation From Local Regression
CATE Estimation With Potential Outcome Imputation From Local RegressionConference on Uncertainty in Artificial Intelligence (UAI), 2023
Ahmed Aloui
Juncheng Dong
Cat P. Le
Vahid Tarokh
CML
204
2
0
07 Nov 2023
A Principled Hierarchical Deep Learning Approach to Joint Image
  Compression and Classification
A Principled Hierarchical Deep Learning Approach to Joint Image Compression and Classification
Siyu Qi
Achintha Wijesinghe
Lahiru D. Chamain
Zhi Ding
117
0
0
30 Oct 2023
Exploring Data Augmentations on Self-/Semi-/Fully- Supervised
  Pre-trained Models
Exploring Data Augmentations on Self-/Semi-/Fully- Supervised Pre-trained Models
Shentong Mo
Zhun Sun
Chao Li
130
2
0
28 Oct 2023
Image Clustering Conditioned on Text Criteria
Image Clustering Conditioned on Text CriteriaInternational Conference on Learning Representations (ICLR), 2023
Sehyun Kwon
Jaeseung Park
Minkyu Kim
Jaewoong Cho
Ernest K. Ryu
Kangwook Lee
VLM
415
21
0
27 Oct 2023
SmooSeg: Smoothness Prior for Unsupervised Semantic Segmentation
SmooSeg: Smoothness Prior for Unsupervised Semantic SegmentationNeural Information Processing Systems (NeurIPS), 2023
Mengcheng Lan
Xinjiang Wang
Yiping Ke
Jiaxing Xu
Xue Jiang
Wayne Zhang
236
18
0
27 Oct 2023
Proposal-Contrastive Pretraining for Object Detection from Fewer Data
Proposal-Contrastive Pretraining for Object Detection from Fewer DataInternational Conference on Learning Representations (ICLR), 2023
Quentin Bouniot
Romaric Audigier
Angélique Loesch
Amaury Habrard
ViT
216
4
0
25 Oct 2023
Lang3DSG: Language-based contrastive pre-training for 3D Scene Graph
  prediction
Lang3DSG: Language-based contrastive pre-training for 3D Scene Graph predictionInternational Conference on 3D Vision (3DV), 2023
Sebastian Koch
Pedro Hermosilla
Narunas Vaskevicius
Mirco Colosi
Timo Ropinski
315
15
0
25 Oct 2023
Learning Low-Rank Latent Spaces with Simple Deterministic Autoencoder:
  Theoretical and Empirical Insights
Learning Low-Rank Latent Spaces with Simple Deterministic Autoencoder: Theoretical and Empirical InsightsIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2023
Alokendu Mazumder
Tirthajit Baruah
Bhartendu Kumar
Rishab Sharma
Vishwajeet Pattanaik
Punit Rathore
129
2
0
24 Oct 2023
SILC: Improving Vision Language Pretraining with Self-Distillation
SILC: Improving Vision Language Pretraining with Self-Distillation
Muhammad Ferjad Naeem
Yongqin Xian
Xiaohua Zhai
Lukas Hoyer
Luc Van Gool
F. Tombari
VLM
271
56
0
20 Oct 2023
In-context Learning with Transformer Is Really Equivalent to a
  Contrastive Learning Pattern
In-context Learning with Transformer Is Really Equivalent to a Contrastive Learning Pattern
Ruifeng Ren
Yong Liu
85
8
0
20 Oct 2023
Representation Learning via Consistent Assignment of Views over Random
  Partitions
Representation Learning via Consistent Assignment of Views over Random Partitions
T. Silva
Adín Ramirez Rivera
SSL
271
5
0
19 Oct 2023
AdaptSSR: Pre-training User Model with Augmentation-Adaptive
  Self-Supervised Ranking
AdaptSSR: Pre-training User Model with Augmentation-Adaptive Self-Supervised Ranking
Yang Yu
Qi Liu
Kai Zhang
Yuren Zhang
Chao Song
Min Hou
Yuqing Yuan
Zhihao Ye
Zaixin Zhang
Sanshi Lei Yu
195
2
0
15 Oct 2023
SelfVC: Voice Conversion With Iterative Refinement using Self
  Transformations
SelfVC: Voice Conversion With Iterative Refinement using Self Transformations
Paarth Neekhara
Shehzeen Samarah Hussain
Rafael Valle
Boris Ginsburg
Rishabh Ranjan
Shlomo Dubnov
F. Koushanfar
Julian McAuley
178
7
0
14 Oct 2023
Incorporating Domain Knowledge Graph into Multimodal Movie Genre
  Classification with Self-Supervised Attention and Contrastive Learning
Incorporating Domain Knowledge Graph into Multimodal Movie Genre Classification with Self-Supervised Attention and Contrastive LearningACM Multimedia (ACM MM), 2023
Jiaqi Li
Guilin Qi
Chuanyi Zhang
Yongrui Chen
Yiming Tan
Chenlong Xia
Ye Tian
198
6
0
12 Oct 2023
Enhancing Representations through Heterogeneous Self-Supervised Learning
Enhancing Representations through Heterogeneous Self-Supervised LearningIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023
Zhongyu Li
Bo-Wen Yin
Yongxiang Liu
Tianpeng Liu
Ming-Ming Cheng
SSL
362
3
0
08 Oct 2023
URLOST: Unsupervised Representation Learning without Stationarity or Topology
URLOST: Unsupervised Representation Learning without Stationarity or TopologyInternational Conference on Learning Representations (ICLR), 2023
Zeyu Yun
Juexiao Zhang
Bruno A. Olshausen
Yann LeCun
560
1
0
06 Oct 2023
MUSCLE: Multi-task Self-supervised Continual Learning to Pre-train Deep
  Models for X-ray Images of Multiple Body Parts
MUSCLE: Multi-task Self-supervised Continual Learning to Pre-train Deep Models for X-ray Images of Multiple Body PartsInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2023
Weibin Liao
Haoyi Xiong
Qingzhong Wang
Yan Mo
Xuhong Li
Lu Dong
Zeyu Chen
Siyu Huang
Dejing Dou
CLL
222
30
0
03 Oct 2023
Keypoint-Augmented Self-Supervised Learning for Medical Image
  Segmentation with Limited Annotation
Keypoint-Augmented Self-Supervised Learning for Medical Image Segmentation with Limited AnnotationNeural Information Processing Systems (NeurIPS), 2023
Zhangsihao Yang
Mengwei Ren
Kaize Ding
Guido Gerig
Yalin Wang
SSL
243
8
0
02 Oct 2023
An Investigation of Representation and Allocation Harms in Contrastive
  Learning
An Investigation of Representation and Allocation Harms in Contrastive LearningInternational Conference on Learning Representations (ICLR), 2023
Subha Maity
Mayank Agarwal
Mikhail Yurochkin
Yuekai Sun
326
2
0
02 Oct 2023
Information Flow in Self-Supervised Learning
Information Flow in Self-Supervised LearningInternational Conference on Machine Learning (ICML), 2023
Zhiyuan Tan
Jingqin Yang
Weiran Huang
Yang Yuan
Yifan Zhang
SSL
416
17
0
29 Sep 2023
Asynchronous Graph Generator
Asynchronous Graph GeneratorSignal Processing (Signal Process.), 2023
Christopher P. Ley
Felipe Tobar
AI4TS
393
0
0
29 Sep 2023
Spatial-frequency channels, shape bias, and adversarial robustness
Spatial-frequency channels, shape bias, and adversarial robustnessNeural Information Processing Systems (NeurIPS), 2023
Ajay Subramanian
E. Sizikova
N. Majaj
D. Pelli
AAML
191
27
0
22 Sep 2023
GCL: Gradient-Guided Contrastive Learning for Medical Image Segmentation
  with Multi-Perspective Meta Labels
GCL: Gradient-Guided Contrastive Learning for Medical Image Segmentation with Multi-Perspective Meta LabelsACM Multimedia (ACM MM), 2023
YiXuan Wu
Jintai Chen
Jiahuan Yan
Yiheng Zhu
Benlin Liu
Jian Wu
VLM
236
7
0
16 Sep 2023
BROW: Better featuRes fOr Whole slide image based on self-distillation
BROW: Better featuRes fOr Whole slide image based on self-distillation
Yuan Wu
Shaojie Li
Zhiqiang Du
Wentao Zhu
161
7
0
15 Sep 2023
BAGEL: Backdoor Attacks against Federated Contrastive Learning
BAGEL: Backdoor Attacks against Federated Contrastive Learning
Yao Huang
Kongyang Chen
Jiannong Cao
Jiaxing Shen
Shaowei Wang
Yun Peng
Weilong Peng
Kechao Cai
FedML
154
3
0
14 Sep 2023
Contrastive Deep Encoding Enables Uncertainty-aware
  Machine-learning-assisted Histopathology
Contrastive Deep Encoding Enables Uncertainty-aware Machine-learning-assisted Histopathology
Nirhoshan Sivaroopan
Chamuditha Jayanga
Chalani Ekanayake
Hasindri Watawana
Jathurshan Pradeepkumar
Mithunjha Anandakumar
Ranga Rodrigo
Chamira U. S. Edussooriya
D. Wadduwage
MedImUQCV
191
0
0
13 Sep 2023
Contrast-Phys+: Unsupervised and Weakly-supervised Video-based Remote
  Physiological Measurement via Spatiotemporal Contrast
Contrast-Phys+: Unsupervised and Weakly-supervised Video-based Remote Physiological Measurement via Spatiotemporal ContrastIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023
Haoyu Chen
Amritpal Singh
318
54
0
13 Sep 2023
Enhancing Representation in Radiography-Reports Foundation Model: A
  Granular Alignment Algorithm Using Masked Contrastive Learning
Enhancing Representation in Radiography-Reports Foundation Model: A Granular Alignment Algorithm Using Masked Contrastive LearningNature Communications (Nat. Commun.), 2023
Weijian Huang
Cheng Li
Hao Yang
Jiarun Liu
Shanshan Wang
MedIm
221
55
0
12 Sep 2023
Self-Supervised Transformer with Domain Adaptive Reconstruction for
  General Face Forgery Video Detection
Self-Supervised Transformer with Domain Adaptive Reconstruction for General Face Forgery Video Detection
Daichi Zhang
Zihao Xiao
Jianmin Li
Shiming Ge
CVBMViT
239
2
0
09 Sep 2023
CR-VAE: Contrastive Regularization on Variational Autoencoders for
  Preventing Posterior Collapse
CR-VAE: Contrastive Regularization on Variational Autoencoders for Preventing Posterior Collapse
Fotios Lygerakis
Elmar Rueckert
DRL
240
6
0
06 Sep 2023
Spatio-Temporal Contrastive Self-Supervised Learning for POI-level Crowd
  Flow Inference
Spatio-Temporal Contrastive Self-Supervised Learning for POI-level Crowd Flow Inference
Songyu Ke
Ting Li
Li Song
Yanping Sun
Qintian Sun
Junbo Zhang
Yu Zheng
SSL
304
3
0
06 Sep 2023
Contrastive Learning as Kernel Approximation
Contrastive Learning as Kernel Approximation
Konstantinos Christopher Tsiolis
SSL
260
0
0
06 Sep 2023
Non-Parametric Representation Learning with Kernels
Non-Parametric Representation Learning with KernelsAAAI Conference on Artificial Intelligence (AAAI), 2023
Pascal Esser
Maximilian Fleissner
Debarghya Ghoshdastidar
SSL
299
11
0
05 Sep 2023
Representation Learning Dynamics of Self-Supervised Models
Representation Learning Dynamics of Self-Supervised Models
Pascal Esser
Satyaki Mukherjee
Debarghya Ghoshdastidar
SSL
299
3
0
05 Sep 2023
BTSeg: Barlow Twins Regularization for Domain Adaptation in Semantic
  Segmentation
BTSeg: Barlow Twins Regularization for Domain Adaptation in Semantic SegmentationGerman Conference on Pattern Recognition (GCPR), 2023
Johannes Kunzel
Anna Hilsmann
Peter Eisert
238
0
0
31 Aug 2023
Towards a Rigorous Analysis of Mutual Information in Contrastive
  Learning
Towards a Rigorous Analysis of Mutual Information in Contrastive LearningNeural Networks (Neural Netw.), 2023
Kyungeun Lee
Jaeill Kim
Suhyun Kang
Wonjong Rhee
SSL
233
6
0
30 Aug 2023
A Survey on Self-Supervised Representation Learning
A Survey on Self-Supervised Representation Learning
Tobias Uelwer
Jan Robine
Stefan Sylvius Wagner
Marc Höftmann
Eric Upschulte
S. Konietzny
Maike Behrendt
Stefan Harmeling
SSLAI4TSOOD
196
16
0
22 Aug 2023
Classification Committee for Active Deep Object Detection
Classification Committee for Active Deep Object DetectionIEEE transactions on multimedia (IEEE TMM), 2023
Lei Zhao
Yue Liu
Xingxing Wei
300
2
0
16 Aug 2023
pNNCLR: Stochastic Pseudo Neighborhoods for Contrastive Learning based
  Unsupervised Representation Learning Problems
pNNCLR: Stochastic Pseudo Neighborhoods for Contrastive Learning based Unsupervised Representation Learning Problems
Momojit Biswas
Himanshu Buckchash
Dilip K. Prasad
SSL
285
10
0
14 Aug 2023
Free-ATM: Exploring Unsupervised Learning on Diffusion-Generated Images
  with Free Attention Masks
Free-ATM: Exploring Unsupervised Learning on Diffusion-Generated Images with Free Attention Masks
David Junhao Zhang
Mutian Xu
Chuhui Xue
Wenqing Zhang
Xiaoguang Han
Song Bai
Mike Zheng Shou
DiffM
229
7
0
13 Aug 2023
Temporal DINO: A Self-supervised Video Strategy to Enhance Action
  Prediction
Temporal DINO: A Self-supervised Video Strategy to Enhance Action Prediction
Izzeddin Teeti
Rongali Sai Bhargav
Vivek Singh
Andrew Bradley
Biplab Banerjee
Fabio Cuzzolin
136
4
0
08 Aug 2023
Your Negative May not Be True Negative: Boosting Image-Text Matching
  with False Negative Elimination
Your Negative May not Be True Negative: Boosting Image-Text Matching with False Negative EliminationACM Multimedia (ACM MM), 2023
Haoxuan Li
Yi Bin
Junrong Liao
Yang Yang
Heng Tao Shen
201
43
0
08 Aug 2023
Unsupervised Representation Learning for Time Series: A Review
Unsupervised Representation Learning for Time Series: A Review
Qianwen Meng
Hangwei Qian
Yong Liu
Yonghui Xu
Zhiqi Shen
Li-zhen Cui
AI4TS
194
28
0
03 Aug 2023
Dynamically Scaled Temperature in Self-Supervised Contrastive Learning
Dynamically Scaled Temperature in Self-Supervised Contrastive LearningIEEE Transactions on Artificial Intelligence (IEEE TAI), 2023
Siladittya Manna
Soumitri Chattopadhyay
Rakesh Dey
Saumik Bhattacharya
Umapada Pal
247
2
0
02 Aug 2023
Stochastic positional embeddings improve masked image modeling
Stochastic positional embeddings improve masked image modelingInternational Conference on Machine Learning (ICML), 2023
Amir Bar
Florian Bordes
Assaf Shocher
Mahmoud Assran
Pascal Vincent
Nicolas Ballas
Trevor Darrell
Amir Globerson
Yann LeCun
209
5
0
31 Jul 2023
Can Self-Supervised Representation Learning Methods Withstand
  Distribution Shifts and Corruptions?
Can Self-Supervised Representation Learning Methods Withstand Distribution Shifts and Corruptions?
Prakash Chandra Chhipa
Johan Rodahl Holmgren
Kanjar De
Rajkumar Saini
Marcus Liwicki
SSLOOD
209
7
0
31 Jul 2023
G2L: Semantically Aligned and Uniform Video Grounding via Geodesic and
  Game Theory
G2L: Semantically Aligned and Uniform Video Grounding via Geodesic and Game TheoryIEEE International Conference on Computer Vision (ICCV), 2023
Hongxiang Li
Meng Cao
Xuxin Cheng
Yaowei Li
Zhihong Zhu
Yuexian Zou
376
29
0
26 Jul 2023
Hallucination Improves the Performance of Unsupervised Visual
  Representation Learning
Hallucination Improves the Performance of Unsupervised Visual Representation LearningIEEE International Conference on Computer Vision (ICCV), 2023
Jing Wu
Jennifer Hobbs
N. Hovakimyan
SSL
259
21
0
22 Jul 2023
A Holistic Assessment of the Reliability of Machine Learning Systems
A Holistic Assessment of the Reliability of Machine Learning Systems
Anthony Corso
David Karamadian
Romeo Valentin
Mary Cooper
Mykel J. Kochenderfer
316
10
0
20 Jul 2023
MOCA: Self-supervised Representation Learning by Predicting Masked
  Online Codebook Assignments
MOCA: Self-supervised Representation Learning by Predicting Masked Online Codebook Assignments
Spyros Gidaris
Andrei Bursuc
Oriane Siméoni
Antonín Vobecký
N. Komodakis
Matthieu Cord
Patrick Pérez
SSLViT
263
9
0
18 Jul 2023
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