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2010.01028
Cited By
Hard Negative Mixing for Contrastive Learning
2 October 2020
Yannis Kalantidis
Mert Bulent Sariyildiz
Noé Pion
Philippe Weinzaepfel
Diane Larlus
SSL
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Papers citing
"Hard Negative Mixing for Contrastive Learning"
50 / 345 papers shown
Title
Contrastive Learning for Self-Supervised Pre-Training of Point Cloud Segmentation Networks With Image Data
A. Janda
Brandon Wagstaff
Edwin G. Ng
J. Kelly
3DPC
14
3
0
18 Jan 2023
Vision Learners Meet Web Image-Text Pairs
Bingchen Zhao
Quan Cui
Hao Wu
Osamu Yoshie
Cheng Yang
Oisin Mac Aodha
VLM
24
5
0
17 Jan 2023
A Survey on Self-supervised Learning: Algorithms, Applications, and Future Trends
Jie Gui
Tuo Chen
Jing Zhang
Qiong Cao
Zhe Sun
Haoran Luo
Dacheng Tao
31
124
0
13 Jan 2023
Multimodal Inverse Cloze Task for Knowledge-based Visual Question Answering
Paul Lerner
O. Ferret
C. Guinaudeau
18
9
0
11 Jan 2023
Filtering, Distillation, and Hard Negatives for Vision-Language Pre-Training
Filip Radenovic
Abhimanyu Dubey
Abhishek Kadian
Todor Mihaylov
Simon Vandenhende
Yash J. Patel
Y. Wen
Vignesh Ramanathan
D. Mahajan
VLM
32
81
0
05 Jan 2023
Heterogeneous Graph Contrastive Learning with Meta-path Contexts and Adaptively Weighted Negative Samples
Jianxiang Yu
Qingqing Ge
Xiang Li
Aoying Zhou
30
7
0
28 Dec 2022
A Survey on Federated Recommendation Systems
Zehua Sun
Yonghui Xu
Yong-Jin Liu
Weiliang He
Lanju Kong
Fangzhao Wu
Y. Jiang
Li-zhen Cui
FedML
24
60
0
27 Dec 2022
Multi-queue Momentum Contrast for Microvideo-Product Retrieval
Yali Du
Yin-wei Wei
Wei Ji
Fan Liu
Xin Luo
Liqiang Nie
41
16
0
22 Dec 2022
Similarity Contrastive Estimation for Image and Video Soft Contrastive Self-Supervised Learning
J. Denize
Jaonary Rabarisoa
Astrid Orcesi
Romain Hérault
SSL
19
6
0
21 Dec 2022
A Survey of Mix-based Data Augmentation: Taxonomy, Methods, Applications, and Explainability
Chengtai Cao
Fan Zhou
Yurou Dai
Jianping Wang
Kunpeng Zhang
AAML
24
28
0
21 Dec 2022
Parameter-efficient Zero-shot Transfer for Cross-Language Dense Retrieval with Adapters
Eugene Yang
Suraj Nair
Dawn J Lawrie
J. Mayfield
Douglas W. Oard
27
4
0
20 Dec 2022
Adam: Dense Retrieval Distillation with Adaptive Dark Examples
Chongyang Tao
Chang Liu
Tao Shen
Can Xu
Xiubo Geng
Binxing Jiao
Daxin Jiang
49
3
0
20 Dec 2022
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
33
101
0
16 Dec 2022
Establishing a stronger baseline for lightweight contrastive models
Wenye Lin
Yifeng Ding
Zhixiong Cao
Haitao Zheng
27
2
0
14 Dec 2022
Contrastive View Design Strategies to Enhance Robustness to Domain Shifts in Downstream Object Detection
Kyle Buettner
Adriana Kovashka
24
2
0
09 Dec 2022
Localized Contrastive Learning on Graphs
Hengrui Zhang
Qitian Wu
Yu Wang
Shaofeng Zhang
Junchi Yan
Philip S. Yu
24
9
0
08 Dec 2022
Knowledge Graph Contrastive Learning Based on Relation-Symmetrical Structure
K. Liang
Yue Liu
Sihang Zhou
Wenxuan Tu
Yi Wen
Xihong Yang
Xiang Dong
Xinwang Liu
24
76
0
19 Nov 2022
Self-supervised remote sensing feature learning: Learning Paradigms, Challenges, and Future Works
Chao Tao
Ji Qi
Mingning Guo
Qing Zhu
Haifeng Li
SSL
24
56
0
15 Nov 2022
Information-guided pixel augmentation for pixel-wise contrastive learning
Quan Quan
Qingsong Yao
Jun Li
S.Kevin Zhou
SSL
31
5
0
14 Nov 2022
Contrastive Classification and Representation Learning with Probabilistic Interpretation
Rahaf Aljundi
Yash J. Patel
Milan Šulc
Daniel Olmeda
N. Chumerin
SSL
31
5
0
07 Nov 2022
CLOP: Video-and-Language Pre-Training with Knowledge Regularizations
Guohao Li
Hu Yang
Feng He
Zhifan Feng
Yajuan Lyu
Hua-Hong Wu
Haifeng Wang
VLM
21
1
0
07 Nov 2022
Beyond Instance Discrimination: Relation-aware Contrastive Self-supervised Learning
Yifei Zhang
Chang-rui Liu
Yu Zhou
Weiping Wang
QiXiang Ye
Xiangyang Ji
SSL
ISeg
BDL
19
6
0
02 Nov 2022
Rare Wildlife Recognition with Self-Supervised Representation Learning
Xiaochen Zheng
SSL
25
2
0
29 Oct 2022
Robust Data2vec: Noise-robust Speech Representation Learning for ASR by Combining Regression and Improved Contrastive Learning
Qiu-shi Zhu
Long Zhou
Jie Zhang
Shujie Liu
Yu-Chen Hu
Lirong Dai
VLM
SSL
60
37
0
27 Oct 2022
ScoreMix: A Scalable Augmentation Strategy for Training GANs with Limited Data
Jie Cao
Mandi Luo
Junchi Yu
Mingmin Yang
Ran He
35
4
0
27 Oct 2022
Provably Learning Diverse Features in Multi-View Data with Midpoint Mixup
Muthuraman Chidambaram
Xiang Wang
Chenwei Wu
Rong Ge
MLT
11
8
0
24 Oct 2022
Global Contrastive Batch Sampling via Optimization on Sample Permutations
Vin Sachidananda
Ziyi Yang
Chenguang Zhu
21
5
0
23 Oct 2022
Adversarial Pretraining of Self-Supervised Deep Networks: Past, Present and Future
Guo-Jun Qi
M. Shah
SSL
23
8
0
23 Oct 2022
Learning Vector-Quantized Item Representation for Transferable Sequential Recommenders
Yupeng Hou
Zhankui He
Julian McAuley
Wayne Xin Zhao
68
124
0
22 Oct 2022
Rethinking Prototypical Contrastive Learning through Alignment, Uniformity and Correlation
Shentong Mo
Zhun Sun
Chao Li
15
11
0
18 Oct 2022
No Pairs Left Behind: Improving Metric Learning with Regularized Triplet Objective
A. Heydari
N. Rezaei
Daniel J. McDuff
Javier L. Prieto
19
0
0
18 Oct 2022
Plausible May Not Be Faithful: Probing Object Hallucination in Vision-Language Pre-training
Wenliang Dai
Zihan Liu
Ziwei Ji
Dan Su
Pascale Fung
MLLM
VLM
29
62
0
14 Oct 2022
Instance Regularization for Discriminative Language Model Pre-training
Zhuosheng Zhang
Hai Zhao
M. Zhou
11
1
0
11 Oct 2022
Unsupervised Few-shot Learning via Deep Laplacian Eigenmaps
Kuilin Chen
Chi-Guhn Lee
SSL
40
3
0
07 Oct 2022
When and why vision-language models behave like bags-of-words, and what to do about it?
Mert Yuksekgonul
Federico Bianchi
Pratyusha Kalluri
Dan Jurafsky
James Zou
VLM
CoGe
30
362
0
04 Oct 2022
COARSE3D: Class-Prototypes for Contrastive Learning in Weakly-Supervised 3D Point Cloud Segmentation
Rong Li
Anh-Quan Cao
Raoul de Charette
3DV
3DPC
131
13
0
04 Oct 2022
Heterogeneous Graph Contrastive Multi-view Learning
Zehong Wang
Qi Li
Donghua Yu
Xiaolong Han
Xiaohong Gao
Shigen Shen
44
28
0
01 Oct 2022
Supervised Contrastive Learning as Multi-Objective Optimization for Fine-Tuning Large Pre-trained Language Models
Youness Moukafih
Mounir Ghogho
Kamel Smaïli
AAML
13
4
0
28 Sep 2022
Self-Supervised Learning with an Information Maximization Criterion
Serdar Ozsoy
Shadi S. Hamdan
Sercan Ö. Arik
Deniz Yuret
A. Erdogan
SSL
21
35
0
16 Sep 2022
FreeGaze: Resource-efficient Gaze Estimation via Frequency Domain Contrastive Learning
Li-Huan Du
Guohao Lan
16
4
0
14 Sep 2022
Data Augmentation by Selecting Mixed Classes Considering Distance Between Classes
Shungo Fujii
Yasunori Ishii
Kazuki Kozuka
Tsubasa Hirakawa
Takayoshi Yamashita
H. Fujiyoshi
44
2
0
12 Sep 2022
OpenMixup: A Comprehensive Mixup Benchmark for Visual Classification
Siyuan Li
Zedong Wang
Zicheng Liu
Di Wu
Cheng Tan
Weiyang Jin
Stan Z. Li
VLM
41
31
0
11 Sep 2022
Measuring the Interpretability of Unsupervised Representations via Quantized Reverse Probing
Iro Laina
Yuki M. Asano
Andrea Vedaldi
SSL
21
8
0
07 Sep 2022
Progressive Domain Adaptation with Contrastive Learning for Object Detection in the Satellite Imagery
Debojyoti Biswas
Jelena Tevsić
ObjD
16
4
0
06 Sep 2022
Supervised Contrastive Learning with Hard Negative Samples
Ruijie Jiang
Thuan Q. Nguyen
Prakash Ishwar
Shuchin Aeron
23
16
0
31 Aug 2022
A Unified Analysis of Mixed Sample Data Augmentation: A Loss Function Perspective
Chanwoo Park
Sangdoo Yun
Sanghyuk Chun
AAML
21
32
0
21 Aug 2022
DiscrimLoss: A Universal Loss for Hard Samples and Incorrect Samples Discrimination
Tingting Wu
Xiao Ding
Hao Zhang
Jin-Fang Gao
LI DU
Bing Qin
Ting Liu
46
9
0
21 Aug 2022
Siamese Prototypical Contrastive Learning
Shentong Mo
Zhun Sun
Chao Li
SSL
24
12
0
18 Aug 2022
Multi-level Contrast Network for Wearables-based Joint Activity Segmentation and Recognition
Songpengcheng Xia
Lei Chu
Ling Pei
Wenxi Yu
Robert C. Qiu
15
2
0
16 Aug 2022
Enhancing Graph Contrastive Learning with Node Similarity
Hongliang Chi
Yao Ma
SSL
39
3
0
13 Aug 2022
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