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Debiased Contrastive Learning

Debiased Contrastive Learning

1 July 2020
Ching-Yao Chuang
Joshua Robinson
Yen-Chen Lin
Antonio Torralba
Stefanie Jegelka
    SSL
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Papers citing "Debiased Contrastive Learning"

50 / 119 papers shown
Title
Exploiting Text Semantics for Few and Zero Shot Node Classification on Text-attributed Graph
Exploiting Text Semantics for Few and Zero Shot Node Classification on Text-attributed Graph
Yuxiang Wang
Xiao Yan
Shiyu Jin
Quanqing Xu
Chuang Hu
Yuanyuan Zhu
Bo Du
Jia Wu
Jiawei Jiang
29
0
0
13 May 2025
Image Classification Using a Diffusion Model as a Pre-Training Model
Image Classification Using a Diffusion Model as a Pre-Training Model
Kosuke Ukita
Ye Xiaolong
Tsuyoshi Okita
DiffM
MedIm
VLM
37
0
0
11 May 2025
Enhanced Urdu Intent Detection with Large Language Models and Prototype-Informed Predictive Pipelines
Enhanced Urdu Intent Detection with Large Language Models and Prototype-Informed Predictive Pipelines
Faiza Hassan
Summra Saleem
Kashif Javed
M. Asim
A. Rehman
Andreas Dengel
33
0
0
08 May 2025
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
59
0
0
18 Mar 2025
Your contrastive learning problem is secretly a distribution alignment problem
Your contrastive learning problem is secretly a distribution alignment problem
Zihao Chen
Chi-Heng Lin
Ran Liu
Jingyun Xiao
Eva L. Dyer
75
1
0
27 Feb 2025
Stealthy Backdoor Attack in Self-Supervised Learning Vision Encoders for Large Vision Language Models
Stealthy Backdoor Attack in Self-Supervised Learning Vision Encoders for Large Vision Language Models
Zhaoyi Liu
Huan Zhang
AAML
80
0
0
25 Feb 2025
Multi-level Supervised Contrastive Learning
Multi-level Supervised Contrastive Learning
Naghmeh Ghanooni
Barbod Pajoum
Harshit Rawal
Sophie Fellenz
Vo Nguyen Le Duy
Marius Kloft
86
0
0
04 Feb 2025
Contrastive Learning with Synthetic Positives
Contrastive Learning with Synthetic Positives
Dewen Zeng
Yawen Wu
Xinrong Hu
Xiaowei Xu
Yiyu Shi
SyDa
SSL
51
1
0
30 Aug 2024
Prompt-Driven Contrastive Learning for Transferable Adversarial Attacks
Prompt-Driven Contrastive Learning for Transferable Adversarial Attacks
Hunmin Yang
Jongoh Jeong
Kuk-Jin Yoon
AAML
VLM
60
4
0
30 Jul 2024
InfoNCE: Identifying the Gap Between Theory and Practice
InfoNCE: Identifying the Gap Between Theory and Practice
E. Rusak
Patrik Reizinger
Attila Juhos
Oliver Bringmann
Roland S. Zimmermann
Wieland Brendel
33
5
0
28 Jun 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
CLCE: An Approach to Refining Cross-Entropy and Contrastive Learning for
  Optimized Learning Fusion
CLCE: An Approach to Refining Cross-Entropy and Contrastive Learning for Optimized Learning Fusion
Zijun Long
George Killick
Lipeng Zhuang
Gerardo Aragon Camarasa
Zaiqiao Meng
R. McCreadie
VLM
39
2
0
22 Feb 2024
Transformer-based Clipped Contrastive Quantization Learning for
  Unsupervised Image Retrieval
Transformer-based Clipped Contrastive Quantization Learning for Unsupervised Image Retrieval
Ayush Dubey
S. Dubey
Satish Kumar Singh
Wei-Ta Chu
27
2
0
27 Jan 2024
Contrastive Learning with Negative Sampling Correction
Contrastive Learning with Negative Sampling Correction
Lu Wang
Chao Du
Pu Zhao
Chuan Luo
Zhangchi Zhu
...
Wei Zhang
Qingwei Lin
Saravan Rajmohan
Dongmei Zhang
Qi Zhang
SSL
90
1
0
13 Jan 2024
Enhancing Contrastive Learning with Efficient Combinatorial Positive
  Pairing
Enhancing Contrastive Learning with Efficient Combinatorial Positive Pairing
Jaeill Kim
Duhun Hwang
Eunjung Lee
Jangwon Suh
Jimyeong Kim
Wonjong Rhee
30
0
0
11 Jan 2024
Mitigating the Impact of False Negatives in Dense Retrieval with
  Contrastive Confidence Regularization
Mitigating the Impact of False Negatives in Dense Retrieval with Contrastive Confidence Regularization
Shiqi Wang
Yeqin Zhang
Cam-Tu Nguyen
20
2
0
30 Dec 2023
CWCL: Cross-Modal Transfer with Continuously Weighted Contrastive Loss
CWCL: Cross-Modal Transfer with Continuously Weighted Contrastive Loss
R. S. Srinivasa
Jaejin Cho
Chouchang Yang
Yashas Malur Saidutta
Ching Hua Lee
Yilin Shen
Hongxia Jin
VLM
31
8
0
26 Sep 2023
DimCL: Dimensional Contrastive Learning For Improving Self-Supervised
  Learning
DimCL: Dimensional Contrastive Learning For Improving Self-Supervised Learning
Thanh Nguyen
T. Pham
Chaoning Zhang
T. Luu
Thang Vu
Chang-Dong Yoo
27
9
0
21 Sep 2023
ProtoKD: Learning from Extremely Scarce Data for Parasite Ova
  Recognition
ProtoKD: Learning from Extremely Scarce Data for Parasite Ova Recognition
Shubham Trehan
U. Ramachandran
Ruth Scimeca
Sathyanarayanan N. Aakur
19
0
0
18 Sep 2023
Hodge-Aware Contrastive Learning
Hodge-Aware Contrastive Learning
Alexander Mollers
Alexander Immer
Vincent Fortuin
Elvin Isufi
27
1
0
14 Sep 2023
Information Theory-Guided Heuristic Progressive Multi-View Coding
Information Theory-Guided Heuristic Progressive Multi-View Coding
Jiangmeng Li
Hang Gao
Wenwen Qiang
Changwen Zheng
22
2
0
21 Aug 2023
Hallucination Improves the Performance of Unsupervised Visual
  Representation Learning
Hallucination Improves the Performance of Unsupervised Visual Representation Learning
Jing Wu
Jennifer Hobbs
N. Hovakimyan
SSL
24
21
0
22 Jul 2023
Graph Contrastive Topic Model
Graph Contrastive Topic Model
Zheheng Luo
Lei Liu
Qianqian Xie
Sophia Ananiadou
16
2
0
05 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
Understanding Contrastive Learning Through the Lens of Margins
Understanding Contrastive Learning Through the Lens of Margins
Daniel Rho
Taesoo Kim
Sooill Park
Jaehyun Park
Jaehan Park
SSL
27
2
0
20 Jun 2023
GraphSHA: Synthesizing Harder Samples for Class-Imbalanced Node
  Classification
GraphSHA: Synthesizing Harder Samples for Class-Imbalanced Node Classification
Wenzhong Li
Changdong Wang
Hui Xiong
Jian-Huang Lai
22
24
0
16 Jun 2023
Zero-shot Visual Relation Detection via Composite Visual Cues from Large
  Language Models
Zero-shot Visual Relation Detection via Composite Visual Cues from Large Language Models
Lin Li
Jun Xiao
Guikun Chen
Jian Shao
Yueting Zhuang
Long Chen
VLM
27
25
0
21 May 2023
HaSa: Hardness and Structure-Aware Contrastive Knowledge Graph Embedding
HaSa: Hardness and Structure-Aware Contrastive Knowledge Graph Embedding
Honggen Zhang
June Zhang
Igor Molybog
26
4
0
17 May 2023
CONSCENDI: A Contrastive and Scenario-Guided Distillation Approach to
  Guardrail Models for Virtual Assistants
CONSCENDI: A Contrastive and Scenario-Guided Distillation Approach to Guardrail Models for Virtual Assistants
A. Sun
Varun Nair
Elliot Schumacher
Anitha Kannan
27
3
0
27 Apr 2023
Denoising Cosine Similarity: A Theory-Driven Approach for Efficient
  Representation Learning
Denoising Cosine Similarity: A Theory-Driven Approach for Efficient Representation Learning
Takumi Nakagawa
Y. Sanada
Hiroki Waida
Yuhui Zhang
Yuichiro Wada
K. Takanashi
Tomonori Yamada
Takafumi Kanamori
DiffM
19
5
0
19 Apr 2023
SC-Block: Supervised Contrastive Blocking within Entity Resolution
  Pipelines
SC-Block: Supervised Contrastive Blocking within Entity Resolution Pipelines
Alexander Brinkmann
Roee Shraga
Christian Bizer
40
9
0
06 Mar 2023
Learning Generalized Hybrid Proximity Representation for Image
  Recognition
Learning Generalized Hybrid Proximity Representation for Image Recognition
Zhiyuan Li
Anca L. Ralescu
26
3
0
31 Jan 2023
Contrast and Clustering: Learning Neighborhood Pair Representation for
  Source-free Domain Adaptation
Contrast and Clustering: Learning Neighborhood Pair Representation for Source-free Domain Adaptation
Yuqi Chen
Xiangbin Zhu
Yonggang Li
Yingjian Li
H. Fang
SSL
13
3
0
31 Jan 2023
Affinity Uncertainty-based Hard Negative Mining in Graph Contrastive
  Learning
Affinity Uncertainty-based Hard Negative Mining in Graph Contrastive Learning
Chaoxi Niu
Guansong Pang
Ling-Hao Chen
24
9
0
31 Jan 2023
Bayesian Self-Supervised Contrastive Learning
Bayesian Self-Supervised Contrastive Learning
B. Liu
Bang-wei Wang
Tianrui Li
SSL
BDL
16
4
0
27 Jan 2023
Similarity Contrastive Estimation for Image and Video Soft Contrastive
  Self-Supervised Learning
Similarity Contrastive Estimation for Image and Video Soft Contrastive Self-Supervised Learning
J. Denize
Jaonary Rabarisoa
Astrid Orcesi
Romain Hérault
SSL
14
6
0
21 Dec 2022
Hard Sample Aware Network for Contrastive Deep Graph Clustering
Hard Sample Aware Network for Contrastive Deep Graph Clustering
Yue Liu
Xihong Yang
Sihang Zhou
Xinwang Liu
Zhen Wang
K. Liang
Wenxuan Tu
Liangjun Li
Jingcan Duan
Cancan Chen
31
101
0
16 Dec 2022
Autoencoders as Cross-Modal Teachers: Can Pretrained 2D Image
  Transformers Help 3D Representation Learning?
Autoencoders as Cross-Modal Teachers: Can Pretrained 2D Image Transformers Help 3D Representation Learning?
Runpei Dong
Zekun Qi
Linfeng Zhang
Junbo Zhang
Jian‐Yuan Sun
Zheng Ge
Li Yi
Kaisheng Ma
ViT
3DPC
21
84
0
16 Dec 2022
Less Data, More Knowledge: Building Next Generation Semantic
  Communication Networks
Less Data, More Knowledge: Building Next Generation Semantic Communication Networks
Christina Chaccour
Walid Saad
Merouane Debbah
Zhu Han
H. Vincent Poor
GNN
3DV
32
120
0
25 Nov 2022
Contrastive Masked Autoencoders for Self-Supervised Video Hashing
Contrastive Masked Autoencoders for Self-Supervised Video Hashing
Yuting Wang
Jinpeng Wang
B. Chen
Ziyun Zeng
Shutao Xia
29
20
0
21 Nov 2022
Cross-Modal Contrastive Learning for Robust Reasoning in VQA
Cross-Modal Contrastive Learning for Robust Reasoning in VQA
Qinjie Zheng
Chaoyue Wang
Daqing Liu
Dadong Wang
Dacheng Tao
LRM
26
0
0
21 Nov 2022
Keep Your Friends Close & Enemies Farther: Debiasing Contrastive
  Learning with Spatial Priors in 3D Radiology Images
Keep Your Friends Close & Enemies Farther: Debiasing Contrastive Learning with Spatial Priors in 3D Radiology Images
Yejia Zhang
Nishchal Sapkota
Pengfei Gu
Yao Peng
Hao Zheng
Da Chen
33
5
0
16 Nov 2022
A simple, efficient and scalable contrastive masked autoencoder for
  learning visual representations
A simple, efficient and scalable contrastive masked autoencoder for learning visual representations
Shlok Kumar Mishra
Joshua Robinson
Huiwen Chang
David Jacobs
Aaron Sarna
Aaron Maschinot
Dilip Krishnan
DiffM
43
30
0
30 Oct 2022
Robust Data2vec: Noise-robust Speech Representation Learning for ASR by
  Combining Regression and Improved Contrastive Learning
Robust Data2vec: Noise-robust Speech Representation Learning for ASR by Combining Regression and Improved Contrastive Learning
Qiu-shi Zhu
Long Zhou
Jie M. Zhang
Shujie Liu
Yu-Chen Hu
Lirong Dai
VLM
SSL
54
37
0
27 Oct 2022
Boosting Semi-Supervised Semantic Segmentation with Probabilistic
  Representations
Boosting Semi-Supervised Semantic Segmentation with Probabilistic Representations
Haoyu Xie
Changqi Wang
Mingkai Zheng
Minjing Dong
Shan You
Chong Fu
Chang Xu
SSL
39
14
0
26 Oct 2022
Adversarial Pretraining of Self-Supervised Deep Networks: Past, Present
  and Future
Adversarial Pretraining of Self-Supervised Deep Networks: Past, Present and Future
Guo-Jun Qi
M. Shah
SSL
23
8
0
23 Oct 2022
CPL: Counterfactual Prompt Learning for Vision and Language Models
CPL: Counterfactual Prompt Learning for Vision and Language Models
Xuehai He
Diji Yang
Weixi Feng
Tsu-jui Fu
Arjun Reddy Akula
Varun Jampani
P. Narayana
Sugato Basu
William Yang Wang
X. Wang
VPVLM
VLM
47
15
0
19 Oct 2022
Multiple Instance Learning via Iterative Self-Paced Supervised
  Contrastive Learning
Multiple Instance Learning via Iterative Self-Paced Supervised Contrastive Learning
Kangning Liu
Weicheng Zhu
Yiqiu Shen
Sheng Liu
N. Razavian
Krzysztof J. Geras
C. Fernandez‐Granda
SSL
28
24
0
17 Oct 2022
Rank-N-Contrast: Learning Continuous Representations for Regression
Rank-N-Contrast: Learning Continuous Representations for Regression
Kaiwen Zha
Peng Cao
Jeany Son
Yuzhe Yang
Dina Katabi
CML
64
37
0
03 Oct 2022
Efficient block contrastive learning via parameter-free meta-node
  approximation
Efficient block contrastive learning via parameter-free meta-node approximation
Gayan K. Kulatilleke
Marius Portmann
Shekhar S. Chandra
29
3
0
28 Sep 2022
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