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Hard Negative Mixing for Contrastive Learning

Hard Negative Mixing for Contrastive Learning

2 October 2020
Yannis Kalantidis
Mert Bulent Sariyildiz
Noé Pion
Philippe Weinzaepfel
Diane Larlus
    SSL
ArXivPDFHTML

Papers citing "Hard Negative Mixing for Contrastive Learning"

50 / 345 papers shown
Title
Referee Can Play: An Alternative Approach to Conditional Generation via
  Model Inversion
Referee Can Play: An Alternative Approach to Conditional Generation via Model Inversion
Xuantong Liu
Tianyang Hu
Wenjia Wang
Kenji Kawaguchi
Yuan Yao
DiffM
73
3
0
26 Feb 2024
Robust Training of Temporal GNNs using Nearest Neighbours based Hard
  Negatives
Robust Training of Temporal GNNs using Nearest Neighbours based Hard Negatives
Shubham Gupta
Srikanta J. Bedathur
OOD
28
1
0
14 Feb 2024
DUEL: Duplicate Elimination on Active Memory for Self-Supervised
  Class-Imbalanced Learning
DUEL: Duplicate Elimination on Active Memory for Self-Supervised Class-Imbalanced Learning
Won-Seok Choi
Hyun-Dong Lee
Dong-Sig Han
Junseok Park
Heeyeon Koo
Byoung-Tak Zhang
30
1
0
14 Feb 2024
Premier-TACO is a Few-Shot Policy Learner: Pretraining Multitask
  Representation via Temporal Action-Driven Contrastive Loss
Premier-TACO is a Few-Shot Policy Learner: Pretraining Multitask Representation via Temporal Action-Driven Contrastive Loss
Ruijie Zheng
Yongyuan Liang
Xiyao Wang
Shuang Ma
Hal Daumé
Huazhe Xu
John Langford
Praveen Palanisamy
Kalyan Shankar Basu
Furong Huang
40
5
0
09 Feb 2024
Deep Spectral Improvement for Unsupervised Image Instance Segmentation
Deep Spectral Improvement for Unsupervised Image Instance Segmentation
Farnoosh Arefi
Amir M. Mansourian
S. Kasaei
ISeg
31
1
0
04 Feb 2024
BECLR: Batch Enhanced Contrastive Few-Shot Learning
BECLR: Batch Enhanced Contrastive Few-Shot Learning
Stylianos Poulakakis-Daktylidis
Hadi Jamali Rad
28
5
0
04 Feb 2024
All Beings Are Equal in Open Set Recognition
All Beings Are Equal in Open Set Recognition
Chaohua Li
Enhao Zhang
Chuanxing Geng
Songcan Chen
27
1
0
31 Jan 2024
Deep Clustering with Diffused Sampling and Hardness-aware
  Self-distillation
Deep Clustering with Diffused Sampling and Hardness-aware Self-distillation
Hai-Xin Zhang
Dong Huang
27
0
0
25 Jan 2024
Contrastive Learning and Cycle Consistency-based Transductive Transfer
  Learning for Target Annotation
Contrastive Learning and Cycle Consistency-based Transductive Transfer Learning for Target Annotation
S. Sami
Md Golam Moula Mehedi Hasan
Nasser M. Nasrabadi
Raghuveer Rao
33
2
0
22 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
33
0
0
11 Jan 2024
Unsupervised hard Negative Augmentation for contrastive learning
Unsupervised hard Negative Augmentation for contrastive learning
Yuxuan Shu
Vasileios Lampos
23
0
0
05 Jan 2024
GPS-SSL: Guided Positive Sampling to Inject Prior Into Self-Supervised
  Learning
GPS-SSL: Guided Positive Sampling to Inject Prior Into Self-Supervised Learning
Aarash Feizi
Randall Balestriero
Adriana Romero Soriano
Reihaneh Rabbany
26
0
0
03 Jan 2024
TimesURL: Self-supervised Contrastive Learning for Universal Time Series
  Representation Learning
TimesURL: Self-supervised Contrastive Learning for Universal Time Series Representation Learning
Jiexi Liu
Songcan Chen
AI4TS
13
32
0
25 Dec 2023
The Right Losses for the Right Gains: Improving the Semantic Consistency
  of Deep Text-to-Image Generation with Distribution-Sensitive Losses
The Right Losses for the Right Gains: Improving the Semantic Consistency of Deep Text-to-Image Generation with Distribution-Sensitive Losses
Mahmoud Ahmed
Omer Moussa
Ismail Shaheen
Mohamed S. Abdelfattah
Amr Abdalla
Marwan Eid
Hesham M. Eraqi
Mohamed N. Moustafa
21
0
0
18 Dec 2023
DER-GCN: Dialogue and Event Relation-Aware Graph Convolutional Neural
  Network for Multimodal Dialogue Emotion Recognition
DER-GCN: Dialogue and Event Relation-Aware Graph Convolutional Neural Network for Multimodal Dialogue Emotion Recognition
Wei Ai
Yuntao Shou
Tao Meng
Keqin Li
29
21
0
17 Dec 2023
Not All Negatives Are Worth Attending to: Meta-Bootstrapping Negative
  Sampling Framework for Link Prediction
Not All Negatives Are Worth Attending to: Meta-Bootstrapping Negative Sampling Framework for Link Prediction
Yakun Wang
Binbin Hu
Shuo Yang
Meiqi Zhu
Qing Cui
Qiyang Zhang
Jun Zhou
Guo Ye
Huimei He
22
0
0
08 Dec 2023
Guarding Barlow Twins Against Overfitting with Mixed Samples
Guarding Barlow Twins Against Overfitting with Mixed Samples
W. G. C. Bandara
C. D. Melo
Vishal M. Patel
SSL
37
11
0
04 Dec 2023
Elucidating and Overcoming the Challenges of Label Noise in Supervised
  Contrastive Learning
Elucidating and Overcoming the Challenges of Label Noise in Supervised Contrastive Learning
Zijun Long
George Killick
Lipeng Zhuang
R. McCreadie
Gerardo Aragon Camarasa
Paul Henderson
30
5
0
25 Nov 2023
Understanding Self-Supervised Features for Learning Unsupervised
  Instance Segmentation
Understanding Self-Supervised Features for Learning Unsupervised Instance Segmentation
Paul Engstler
Luke Melas-Kyriazi
Christian Rupprecht
Iro Laina
SSL
25
3
0
24 Nov 2023
Mitigating Pooling Bias in E-commerce Search via False Negative
  Estimation
Mitigating Pooling Bias in E-commerce Search via False Negative Estimation
Xiaochen Wang
Xiao Xiao
Ruhan Zhang
Xuan Zhang
Taesik Na
Tejaswi Tenneti
Haixun Wang
Fenglong Ma
26
0
0
11 Nov 2023
DualTalker: A Cross-Modal Dual Learning Approach for Speech-Driven 3D
  Facial Animation
DualTalker: A Cross-Modal Dual Learning Approach for Speech-Driven 3D Facial Animation
Guinan Su
Yanwu Yang
Zhifeng Li
VGen
38
1
0
08 Nov 2023
CROMA: Remote Sensing Representations with Contrastive Radar-Optical
  Masked Autoencoders
CROMA: Remote Sensing Representations with Contrastive Radar-Optical Masked Autoencoders
A. Fuller
K. Millard
James R. Green
23
60
0
01 Nov 2023
MNN: Mixed Nearest-Neighbors for Self-Supervised Learning
MNN: Mixed Nearest-Neighbors for Self-Supervised Learning
Xianzhong Long
Chen Peng
Yun Li
SSL
33
0
0
01 Nov 2023
Rethinking Samples Selection for Contrastive Learning: Mining of
  Potential Samples
Rethinking Samples Selection for Contrastive Learning: Mining of Potential Samples
Hengkui Dong
Xianzhong Long
Yun Li
36
2
0
01 Nov 2023
Identifiable Contrastive Learning with Automatic Feature Importance
  Discovery
Identifiable Contrastive Learning with Automatic Feature Importance Discovery
Qi Zhang
Yifei Wang
Yisen Wang
31
12
0
29 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
12
2
0
28 Oct 2023
Patch-Wise Self-Supervised Visual Representation Learning: A
  Fine-Grained Approach
Patch-Wise Self-Supervised Visual Representation Learning: A Fine-Grained Approach
Ali Javidani
Mohammad Amin Sadeghi
Babak Nadjar Araabi
30
0
0
28 Oct 2023
ARNIQA: Learning Distortion Manifold for Image Quality Assessment
ARNIQA: Learning Distortion Manifold for Image Quality Assessment
Lorenzo Agnolucci
L. Galteri
Marco Bertini
A. Bimbo
34
32
0
20 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
25
1
0
15 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
35
2
0
15 Oct 2023
Timestamp-supervised Wearable-based Activity Segmentation and
  Recognition with Contrastive Learning and Order-Preserving Optimal Transport
Timestamp-supervised Wearable-based Activity Segmentation and Recognition with Contrastive Learning and Order-Preserving Optimal Transport
Songpengcheng Xia
Lei Chu
Ling Pei
Jiarui Yang
Wenxian Yu
Robert C. Qiu
AI4TS
25
8
0
13 Oct 2023
Causal Unsupervised Semantic Segmentation
Causal Unsupervised Semantic Segmentation
Junho Kim
Byung-Kwan Lee
Yonghyun Ro
33
18
0
11 Oct 2023
Finding Order in Chaos: A Novel Data Augmentation Method for Time Series
  in Contrastive Learning
Finding Order in Chaos: A Novel Data Augmentation Method for Time Series in Contrastive Learning
B. U. Demirel
Christian Holz
AI4TS
24
18
0
23 Sep 2023
Dual-Modal Attention-Enhanced Text-Video Retrieval with Triplet Partial
  Margin Contrastive Learning
Dual-Modal Attention-Enhanced Text-Video Retrieval with Triplet Partial Margin Contrastive Learning
Chen Jiang
Hong Liu
Xuzheng Yu
Qing Wang
Yuan Cheng
...
Zhongyi Liu
Qingpei Guo
Wei Chu
Ming Yang
Yuan Qi
29
10
0
20 Sep 2023
Leveraging Multi-lingual Positive Instances in Contrastive Learning to
  Improve Sentence Embedding
Leveraging Multi-lingual Positive Instances in Contrastive Learning to Improve Sentence Embedding
Kaiyan Zhao
Qiyu Wu
Xin-Qiang Cai
Yoshimasa Tsuruoka
25
6
0
16 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 Labels
YiXuan Wu
Jintai Chen
Jiahuan Yan
Yiheng Zhu
Danny Chen
Jian Wu
VLM
29
6
0
16 Sep 2023
Graph Self-Contrast Representation Learning
Graph Self-Contrast Representation Learning
Minjie Chen
Yao Cheng
Ye Wang
Xiangci Li
Ming Gao
SSL
26
1
0
05 Sep 2023
Towards a Rigorous Analysis of Mutual Information in Contrastive
  Learning
Towards a Rigorous Analysis of Mutual Information in Contrastive Learning
Kyungeun Lee
Jaeill Kim
Suhyun Kang
Wonjong Rhee
SSL
33
2
0
30 Aug 2023
When hard negative sampling meets supervised contrastive learning
When hard negative sampling meets supervised contrastive learning
Zijun Long
George Killick
R. McCreadie
Gerardo Aragon Camarasa
Zaiqiao Meng
SSL
28
3
0
28 Aug 2023
MoCoSA: Momentum Contrast for Knowledge Graph Completion with
  Structure-Augmented Pre-trained Language Models
MoCoSA: Momentum Contrast for Knowledge Graph Completion with Structure-Augmented Pre-trained Language Models
Jiabang He
Liu Jia
Lei Wang
Xiyao Li
Xingdong Xu
25
7
0
16 Aug 2023
ICPC: Instance-Conditioned Prompting with Contrastive Learning for
  Semantic Segmentation
ICPC: Instance-Conditioned Prompting with Contrastive Learning for Semantic Segmentation
Chaohui Yu
Qiang-feng Zhou
Zhibin Wang
Fan Wang
VLM
24
1
0
14 Aug 2023
SimMatchV2: Semi-Supervised Learning with Graph Consistency
SimMatchV2: Semi-Supervised Learning with Graph Consistency
Mingkai Zheng
Shan You
Lang Huang
Chen Luo
Fei Wang
Chao Qian
Chang Xu
SSL
29
7
0
13 Aug 2023
MammoDG: Generalisable Deep Learning Breaks the Limits of Cross-Domain
  Multi-Center Breast Cancer Screening
MammoDG: Generalisable Deep Learning Breaks the Limits of Cross-Domain Multi-Center Breast Cancer Screening
Yijun Yang
Shujun Wang
Lihao Liu
S. Hickman
F. Gilbert
Carola-Bibiane Schönlieb
Angelica I. Aviles-Rivero
19
5
0
02 Aug 2023
Hierarchical Skeleton Meta-Prototype Contrastive Learning with Hard
  Skeleton Mining for Unsupervised Person Re-Identification
Hierarchical Skeleton Meta-Prototype Contrastive Learning with Hard Skeleton Mining for Unsupervised Person Re-Identification
Haocong Rao
Cyril Leung
Chun Miao
3DH
34
8
0
24 Jul 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
29
21
0
22 Jul 2023
Towards the Sparseness of Projection Head in Self-Supervised Learning
Towards the Sparseness of Projection Head in Self-Supervised Learning
Changwen Zheng
Xingzhe Su
Wenwen Qiang
Jingyao Wang
Changwen Zheng
Gang Hua
36
3
0
18 Jul 2023
Composition-contrastive Learning for Sentence Embeddings
Composition-contrastive Learning for Sentence Embeddings
Sachin Chanchani
Ruihong Huang
27
13
0
14 Jul 2023
Mini-Batch Optimization of Contrastive Loss
Mini-Batch Optimization of Contrastive Loss
Jaewoong Cho
Kartik K. Sreenivasan
Keon Lee
Kyunghoo Mun
Soheun Yi
Jeong-Gwan Lee
Anna Lee
Jy-yong Sohn
Dimitris Papailiopoulos
Kangwook Lee
SSL
40
7
0
12 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
Inter-Instance Similarity Modeling for Contrastive Learning
Inter-Instance Similarity Modeling for Contrastive Learning
Chen Shen
Dawei Liu
H. Tang
Zhe Qu
Jianxin Wang
SSL
31
4
0
21 Jun 2023
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