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1912.01991
Cited By
Self-Supervised Learning of Pretext-Invariant Representations
4 December 2019
Ishan Misra
L. V. D. van der Maaten
SSL
VLM
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Papers citing
"Self-Supervised Learning of Pretext-Invariant Representations"
50 / 319 papers shown
Title
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Boosting Generative Image Modeling via Joint Image-Feature Synthesis
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22 Apr 2025
AFiRe: Anatomy-Driven Self-Supervised Learning for Fine-Grained Representation in Radiographic Images
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Lianghua He
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15 Apr 2025
Implicit Contrastive Representation Learning with Guided Stop-gradient
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Sehyun Lee
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CL-MVSNet: Unsupervised Multi-view Stereo with Dual-level Contrastive Learning
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Zhe Zhang
Tianxing Feng
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Learning Nash Equilibrial Hamiltonian for Two-Player Collision-Avoiding Interactions
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Siddharth Das
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10 Mar 2025
VRM: Knowledge Distillation via Virtual Relation Matching
W. Zhang
Fei Xie
Weidong Cai
Chao Ma
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28 Feb 2025
Efficient Hierarchical Contrastive Self-supervising Learning for Time Series Classification via Importance-aware Resolution Selection
Kevin Garcia
Juan Manuel Perez
Yifeng Gao
AI4TS
50
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14 Feb 2025
A Review on Self-Supervised Learning for Time Series Anomaly Detection: Recent Advances and Open Challenges
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Borja Calvo
Jose A. Lozano
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35
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28 Jan 2025
How Well Do Self-Supervised Methods Perform in Cross-Domain Few-Shot Learning?
Yiyi Zhang
Ying Zheng
Xiaogang Xu
Jun Wang
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56
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28 Jan 2025
Self-supervised Benchmark Lottery on ImageNet: Do Marginal Improvements Translate to Improvements on Similar Datasets?
Utku Ozbulak
Esla Timothy Anzaku
Solha Kang
W. D. Neve
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A Probabilistic Model for Self-Supervised Learning
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166
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Enhancing Contrastive Learning Inspired by the Philosophy of "The Blind Men and the Elephant"
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Ruobing Xie
Jiansheng Chen
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Julio Silva-Rodrıguez
Ismail ben Ayed
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Jose Dolz
VLM
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26 Nov 2024
Quantum Rationale-Aware Graph Contrastive Learning for Jet Discrimination
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Md. Akmol Masud
M. Mridha
Nilanjan Dey
Zeyar Aung
54
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Analysis of Spatial augmentation in Self-supervised models in the purview of training and test distributions
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Tinne Tuytelaars
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26 Sep 2024
Self-supervised Learning for Acoustic Few-Shot Classification
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Bernd Meyer
Issac Ning Lee
Thanh-Toan Do
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Causal Understanding For Video Question Answering
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AnatoMask: Enhancing Medical Image Segmentation with Reconstruction-guided Self-masking
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Tianyu Luan
Yizhou Wu
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Xiaofeng Yang
37
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Self-Supervised Alignment Learning for Medical Image Segmentation
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Yiming Ouyang
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34
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Yu-Lun Liu
54
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A Review on Discriminative Self-supervised Learning Methods in Computer Vision
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Athanasios Gkelias
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64
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Classification of Breast Cancer Histopathology Images using a Modified Supervised Contrastive Learning Method
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Ali Royat
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Modeling Caption Diversity in Contrastive Vision-Language Pretraining
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Mahmoud Assran
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Learning Discriminative Spatio-temporal Representations for Semi-supervised Action Recognition
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Sanpin Zhou
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Understanding Hyperbolic Metric Learning through Hard Negative Sampling
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Guanyi Mou
Ziming Zhang
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OccFeat: Self-supervised Occupancy Feature Prediction for Pretraining BEV Segmentation Networks
Sophia Sirko-Galouchenko
Alexandre Boulch
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Andrei Bursuc
Antonín Vobecký
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3DPC
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Spatial Context-based Self-Supervised Learning for Handwritten Text Recognition
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11 Mar 2024
Membership Information Leakage in Federated Contrastive Learning
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Wenfeng Wang
Zixin Wang
Wangjun Zhang
Zhipeng Li
Yao Huang
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FLGuard: Byzantine-Robust Federated Learning via Ensemble of Contrastive Models
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Yungi Cho
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Ho Bae
Y. Paek
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27
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05 Mar 2024
CPCL: Cross-Modal Prototypical Contrastive Learning for Weakly Supervised Text-based Person Re-Identification
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Trapped in texture bias? A large scale comparison of deep instance segmentation
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Contrastive Learning with Negative Sampling Correction
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Chao Du
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Enhancing Contrastive Learning with Efficient Combinatorial Positive Pairing
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Which Augmentation Should I Use? An Empirical Investigation of Augmentations for Self-Supervised Phonocardiogram Representation Learning
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Image Clustering Conditioned on Text Criteria
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Ernest K. Ryu
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SmooSeg: Smoothness Prior for Unsupervised Semantic Segmentation
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Xinjiang Wang
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SILC: Improving Vision Language Pretraining with Self-Distillation
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AdaptSSR: Pre-training User Model with Augmentation-Adaptive Self-Supervised Ranking
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Zhihao Ye
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Sanshi Lei Yu
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URLOST: Unsupervised Representation Learning without Stationarity or Topology
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Bruno A. Olshausen
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MUSCLE: Multi-task Self-supervised Continual Learning to Pre-train Deep Models for X-ray Images of Multiple Body Parts
Weibin Liao
Haoyi Xiong
Qingzhong Wang
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Yi Liu
Zeyu Chen
Siyu Huang
Dejing Dou
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pNNCLR: Stochastic Pseudo Neighborhoods for Contrastive Learning based Unsupervised Representation Learning Problems
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Stochastic positional embeddings improve masked image modeling
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Florian Bordes
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Semantic Positive Pairs for Enhancing Visual Representation Learning of Instance Discrimination Methods
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A brief review of contrastive learning applied to astrophysics
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Context-Aware Self-Supervised Learning of Whole Slide Images
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Yuhan Zhao
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