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What Makes for Good Views for Contrastive Learning?

What Makes for Good Views for Contrastive Learning?

20 May 2020
Yonglong Tian
Chen Sun
Ben Poole
Dilip Krishnan
Cordelia Schmid
Phillip Isola
    SSL
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Papers citing "What Makes for Good Views for Contrastive Learning?"

50 / 283 papers shown
Title
Incorporating Attributes and Multi-Scale Structures for Heterogeneous Graph Contrastive Learning
Incorporating Attributes and Multi-Scale Structures for Heterogeneous Graph Contrastive Learning
Ruobing Jiang
Yacong Li
Haobing Liu
Yanwei Yu
54
0
0
18 Mar 2025
Interpretable High-order Knowledge Graph Neural Network for Predicting Synthetic Lethality in Human Cancers
Interpretable High-order Knowledge Graph Neural Network for Predicting Synthetic Lethality in Human Cancers
Xuexin Chen
Ruichu Cai
Zhengting Huang
Zijian Li
Jie Zheng
Min Wu
41
0
0
08 Mar 2025
Particle Trajectory Representation Learning with Masked Point Modeling
Particle Trajectory Representation Learning with Masked Point Modeling
Sam Young
Yeon-jae Jwa
Kazuhiro Terao
3DPC
69
1
0
04 Feb 2025
Unifying Prediction and Explanation in Time-Series Transformers via Shapley-based Pretraining
Qisen Cheng
Jinming Xing
Chang Xue
Xiaoran Yang
AI4TS
33
3
0
28 Jan 2025
How Well Do Self-Supervised Methods Perform in Cross-Domain Few-Shot Learning?
How Well Do Self-Supervised Methods Perform in Cross-Domain Few-Shot Learning?
Yiyi Zhang
Ying Zheng
Xiaogang Xu
Jun Wang
SSL
56
4
0
28 Jan 2025
Retrieval-Augmented Dialogue Knowledge Aggregation for Expressive Conversational Speech Synthesis
Retrieval-Augmented Dialogue Knowledge Aggregation for Expressive Conversational Speech Synthesis
Rui Liu
Zhenqi Jia
F. Bao
H. Li
38
2
0
11 Jan 2025
Enhancing Contrastive Learning Inspired by the Philosophy of "The Blind Men and the Elephant"
Enhancing Contrastive Learning Inspired by the Philosophy of "The Blind Men and the Elephant"
Yudong Zhang
Ruobing Xie
Jiansheng Chen
X. Sun
Zhanhui Kang
Yu Wang
83
0
0
21 Dec 2024
Beyond [cls]: Exploring the true potential of Masked Image Modeling representations
Beyond [cls]: Exploring the true potential of Masked Image Modeling representations
Marcin Przewiȩźlikowski
Randall Balestriero
Wojciech Jasiński
Marek 'Smieja
Bartosz Zieliñski
69
0
0
04 Dec 2024
Contrastive Learning and Adversarial Disentanglement for Task-Oriented Semantic Communications
Contrastive Learning and Adversarial Disentanglement for Task-Oriented Semantic Communications
Omar Erak
Omar Alhussein
Wen Tong
74
0
0
30 Oct 2024
SCOREQ: Speech Quality Assessment with Contrastive Regression
SCOREQ: Speech Quality Assessment with Contrastive Regression
Alessandro Ragano
Jan Skoglund
Andrew Hines
38
6
0
09 Oct 2024
Anchors Aweigh! Sail for Optimal Unified Multi-Modal Representations
Anchors Aweigh! Sail for Optimal Unified Multi-Modal Representations
Minoh Jeong
Min Namgung
Zae Myung Kim
Dongyeop Kang
Yao-Yi Chiang
Alfred Hero
25
0
0
02 Oct 2024
Analysis of Spatial augmentation in Self-supervised models in the
  purview of training and test distributions
Analysis of Spatial augmentation in Self-supervised models in the purview of training and test distributions
Abhishek Jha
Tinne Tuytelaars
30
0
0
26 Sep 2024
Frequency-Guided Masking for Enhanced Vision Self-Supervised Learning
Frequency-Guided Masking for Enhanced Vision Self-Supervised Learning
Amin Karimi Monsefi
Mengxi Zhou
Nastaran Karimi Monsefi
Ser-Nam Lim
Wei-Lun Chao
R. Ramnath
44
1
0
16 Sep 2024
Robust image representations with counterfactual contrastive learning
Robust image representations with counterfactual contrastive learning
Mélanie Roschewitz
Fabio De Sousa Ribeiro
Tian Xia
G. Khara
Ben Glocker
OOD
MedIm
47
2
0
16 Sep 2024
What to align in multimodal contrastive learning?
What to align in multimodal contrastive learning?
Benoit Dufumier
J. Castillo-Navarro
D. Tuia
Jean-Philippe Thiran
27
3
0
11 Sep 2024
DetailCLIP: Detail-Oriented CLIP for Fine-Grained Tasks
DetailCLIP: Detail-Oriented CLIP for Fine-Grained Tasks
Amin Karimi Monsefi
Kishore Prakash Sailaja
Ali Alilooee
Ser-Nam Lim
R. Ramnath
VLM
35
6
0
10 Sep 2024
A Survey of the Self Supervised Learning Mechanisms for Vision Transformers
A Survey of the Self Supervised Learning Mechanisms for Vision Transformers
Asifullah Khan
A. Sohail
M. Fiaz
Mehdi Hassan
Tariq Habib Afridi
...
Muhammad Zaigham Zaheer
Kamran Ali
Tangina Sultana
Ziaurrehman Tanoli
Naeem Akhter
45
3
0
30 Aug 2024
Invariant Graph Learning Meets Information Bottleneck for Out-of-Distribution Generalization
Invariant Graph Learning Meets Information Bottleneck for Out-of-Distribution Generalization
Wenyu Mao
Jiancan Wu
Haoyang Liu
Yongduo Sui
Xiang Wang
OOD
39
2
0
03 Aug 2024
Self-Supervised Video Representation Learning in a Heuristic Decoupled
  Perspective
Self-Supervised Video Representation Learning in a Heuristic Decoupled Perspective
Zeen Song
Jingyao Wang
Jianqi Zhang
Changwen Zheng
Wenwen Qiang
SSL
58
0
0
19 Jul 2024
STARS: Self-supervised Tuning for 3D Action Recognition in Skeleton
  Sequences
STARS: Self-supervised Tuning for 3D Action Recognition in Skeleton Sequences
Soroush Mehraban
Mohammad Javad Rajabi
Babak Taati
3DPC
29
0
0
15 Jul 2024
Look Ahead or Look Around? A Theoretical Comparison Between
  Autoregressive and Masked Pretraining
Look Ahead or Look Around? A Theoretical Comparison Between Autoregressive and Masked Pretraining
Qi Zhang
Tianqi Du
Haotian Huang
Yifei Wang
Yisen Wang
34
3
0
01 Jul 2024
GM-DF: Generalized Multi-Scenario Deepfake Detection
GM-DF: Generalized Multi-Scenario Deepfake Detection
Yingxin Lai
Zitong Yu
Jing Yang
Bin Li
Xiangui Kang
Linlin Shen
30
7
0
28 Jun 2024
Learning Domain-Invariant Features for Out-of-Context News Detection
Learning Domain-Invariant Features for Out-of-Context News Detection
Yimeng Gu
Mengqi Zhang
Ignacio Castro
Shu Wu
Gareth Tyson
39
2
0
11 Jun 2024
Contrastive Learning from Synthetic Audio Doppelgängers
Contrastive Learning from Synthetic Audio Doppelgängers
Manuel Cherep
Nikhil Singh
40
1
0
09 Jun 2024
A Review on Discriminative Self-supervised Learning Methods in Computer Vision
A Review on Discriminative Self-supervised Learning Methods in Computer Vision
Nikolaos Giakoumoglou
Tania Stathaki
Athanasios Gkelias
SSL
64
1
0
08 May 2024
Data Augmentation Policy Search for Long-Term Forecasting
Data Augmentation Policy Search for Long-Term Forecasting
Liran Nochumsohn
Omri Azencot
AI4TS
TPM
44
3
0
01 May 2024
Understanding Hyperbolic Metric Learning through Hard Negative Sampling
Understanding Hyperbolic Metric Learning through Hard Negative Sampling
Yun Yue
Fangzhou Lin
Guanyi Mou
Ziming Zhang
SSL
30
1
0
23 Apr 2024
AMU-Tuning: Effective Logit Bias for CLIP-based Few-shot Learning
AMU-Tuning: Effective Logit Bias for CLIP-based Few-shot Learning
Yuwei Tang
Zhenyi Lin
Qilong Wang
Pengfei Zhu
Qinghua Hu
28
11
0
13 Apr 2024
A Universal Knowledge Embedded Contrastive Learning Framework for
  Hyperspectral Image Classification
A Universal Knowledge Embedded Contrastive Learning Framework for Hyperspectral Image Classification
Quanwei Liu
Yanni Dong
Tao Huang
Lefei Zhang
Bo Du
VLM
32
1
0
02 Apr 2024
Heterogeneous Contrastive Learning for Foundation Models and Beyond
Heterogeneous Contrastive Learning for Foundation Models and Beyond
Lecheng Zheng
Baoyu Jing
Zihao Li
Hanghang Tong
Jingrui He
VLM
30
19
0
30 Mar 2024
LeOCLR: Leveraging Original Images for Contrastive Learning of Visual Representations
LeOCLR: Leveraging Original Images for Contrastive Learning of Visual Representations
Mohammad Alkhalefi
Georgios Leontidis
Mingjun Zhong
63
2
0
11 Mar 2024
Towards Deviation-Robust Agent Navigation via Perturbation-Aware
  Contrastive Learning
Towards Deviation-Robust Agent Navigation via Perturbation-Aware Contrastive Learning
Bingqian Lin
Yanxin Long
Yi Zhu
Fengda Zhu
Xiaodan Liang
QiXiang Ye
Liang Lin
29
5
0
09 Mar 2024
Poly-View Contrastive Learning
Poly-View Contrastive Learning
Amitis Shidani
Devon Hjelm
Jason Ramapuram
Russ Webb
Eeshan Gunesh Dhekane
Dan Busbridge
VLM
SSL
34
4
0
08 Mar 2024
Self-supervised Visualisation of Medical Image Datasets
Self-supervised Visualisation of Medical Image Datasets
I. V. Nwabufo
Jan Niklas Böhm
Philipp Berens
D. Kobak
40
0
0
22 Feb 2024
Pretext Training Algorithms for Event Sequence Data
Pretext Training Algorithms for Event Sequence Data
Yimu Wang
He Zhao
Ruizhi Deng
Frederick Tung
Greg Mori
AI4TS
21
0
0
16 Feb 2024
A self-supervised framework for learning whole slide representations
A self-supervised framework for learning whole slide representations
X. Hou
Cheng Jiang
A. Kondepudi
Yiwei Lyu
Asadur Chowdury
Honglak Lee
Todd C. Hollon
MedIm
30
5
0
09 Feb 2024
Better Representations via Adversarial Training in Pre-Training: A
  Theoretical Perspective
Better Representations via Adversarial Training in Pre-Training: A Theoretical Perspective
Yue Xing
Xiaofeng Lin
Qifan Song
Yi Tian Xu
Belinda Zeng
Guang Cheng
SSL
17
0
0
26 Jan 2024
Trapped in texture bias? A large scale comparison of deep instance
  segmentation
Trapped in texture bias? A large scale comparison of deep instance segmentation
J. Theodoridis
Jessica Hofmann
J. Maucher
A. Schilling
SSeg
27
5
0
17 Jan 2024
Towards a Unified Framework of Contrastive Learning for Disentangled
  Representations
Towards a Unified Framework of Contrastive Learning for Disentangled Representations
Stefan Matthes
Zhiwei Han
Hao Shen
31
4
0
08 Nov 2023
Pre-Training LiDAR-Based 3D Object Detectors Through Colorization
Pre-Training LiDAR-Based 3D Object Detectors Through Colorization
Tai-Yu Pan
Chenyang Ma
Tianle Chen
Cheng Perng Phoo
Katie Z Luo
Yurong You
Mark E. Campbell
Kilian Q. Weinberger
B. Hariharan
Wei-Lun Chao
3DPC
25
4
0
23 Oct 2023
DropMix: Better Graph Contrastive Learning with Harder Negative Samples
DropMix: Better Graph Contrastive Learning with Harder Negative Samples
Yueqi Ma
Minjie Chen
Xiang Li
SSL
15
1
0
15 Oct 2023
Graph-level Representation Learning with Joint-Embedding Predictive Architectures
Graph-level Representation Learning with Joint-Embedding Predictive Architectures
Geri Skenderi
Hang Li
Jiliang Tang
Marco Cristani
AI4TS
GNN
54
3
0
27 Sep 2023
Transferability of Representations Learned using Supervised Contrastive
  Learning Trained on a Multi-Domain Dataset
Transferability of Representations Learned using Supervised Contrastive Learning Trained on a Multi-Domain Dataset
Alvin De Jun Tan
Clement Tan
C. Yeo
36
0
0
27 Sep 2023
On the Sweet Spot of Contrastive Views for Knowledge-enhanced
  Recommendation
On the Sweet Spot of Contrastive Views for Knowledge-enhanced Recommendation
Haibo Ye
Xinjie Li
Yuan Yao
Hanghang Tong
36
0
0
23 Sep 2023
Hodge-Aware Contrastive Learning
Hodge-Aware Contrastive Learning
Alexander Mollers
Alexander Immer
Vincent Fortuin
Elvin Isufi
25
1
0
14 Sep 2023
CoNe: Contrast Your Neighbours for Supervised Image Classification
CoNe: Contrast Your Neighbours for Supervised Image Classification
Mingkai Zheng
Shan You
Lang Huang
Xiu Su
Fei Wang
Chao Qian
Xiaogang Wang
Chang Xu
VLM
20
0
0
21 Aug 2023
MOLE: MOdular Learning FramEwork via Mutual Information Maximization
MOLE: MOdular Learning FramEwork via Mutual Information Maximization
Tianchao Li
Yulong Pei
27
0
0
15 Aug 2023
Optical Flow boosts Unsupervised Localization and Segmentation
Optical Flow boosts Unsupervised Localization and Segmentation
Xinyu Zhang
Abdeslam Boularias
28
5
0
25 Jul 2023
UniTabE: A Universal Pretraining Protocol for Tabular Foundation Model
  in Data Science
UniTabE: A Universal Pretraining Protocol for Tabular Foundation Model in Data Science
Yazheng Yang
Yuqi Wang
Guangyi Liu
Ledell Yu Wu
Qi Liu
LMTD
32
16
0
18 Jul 2023
Semantic Positive Pairs for Enhancing Visual Representation Learning of Instance Discrimination Methods
Semantic Positive Pairs for Enhancing Visual Representation Learning of Instance Discrimination Methods
Mohammad Alkhalefi
Georgios Leontidis
Min Zhong
SSL
87
2
0
28 Jun 2023
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