Hard Negative Mixing for Contrastive Learning

2 October 2020

Yannis Kalantidis

Mert Bulent Sariyildiz

Papers citing "Hard Negative Mixing for Contrastive Learning"

50 / 345 papers shown

Title
GraphSHA: Synthesizing Harder Samples for Class-Imbalanced Node Classification Wenzhong Li Changdong Wang Hui Xiong Jian-Huang Lai 22 24 0 16 Jun 2023
Contrasting Intra-Modal and Ranking Cross-Modal Hard Negatives to Enhance Visio-Linguistic Compositional Understanding Le Zhang Rabiul Awal Aishwarya Agrawal CoGe VLM 31 9 0 15 Jun 2023
ScoreCL: Augmentation-Adaptive Contrastive Learning via Score-Matching Function Jinyoung Kim Soonwoo Kwon Hyojun Go Yunsung Lee Seungtaek Choi Hyun-Gyoon Kim 27 1 0 07 Jun 2023
BatchSampler: Sampling Mini-Batches for Contrastive Learning in Vision, Language, and Graphs Z. Yang Tinglin Huang Ming Ding Yuxiao Dong Rex Ying Yukuo Cen Yangli-ao Geng Jie Tang SSL VLM 26 9 0 06 Jun 2023
Asymmetric Patch Sampling for Contrastive Learning Chen Shen Jianzhong Chen Shu Wang Hulin Kuang Jin Liu Jianxin Wang SSL 33 4 0 05 Jun 2023
Provable Benefit of Mixup for Finding Optimal Decision Boundaries Junsoo Oh Chulee Yun 25 5 0 01 Jun 2023
Sample and Predict Your Latent: Modality-free Sequential Disentanglement via Contrastive Estimation Ilana D Naiman Nimrod Berman Omri Azencot DRL 26 6 0 25 May 2023
Know Your Self-supervised Learning: A Survey on Image-based Generative and Discriminative Training Utku Ozbulak Hyun Jung Lee Beril Boga Esla Timothy Anzaku Ho-min Park Arnout Van Messem W. D. Neve J. Vankerschaver DiffM 26 36 0 23 May 2023
EnSiam: Self-Supervised Learning With Ensemble Representations Kai Han Minsik Lee SSL 24 0 0 22 May 2023
Not All Semantics are Created Equal: Contrastive Self-supervised Learning with Automatic Temperature Individualization Zimeng Qiu Quanqi Hu Zhuoning Yuan Denny Zhou Lijun Zhang Tianbao Yang 34 17 0 19 May 2023
OpenShape: Scaling Up 3D Shape Representation Towards Open-World Understanding Minghua Liu Ruoxi Shi Kaiming Kuang Yinhao Zhu Xuanlin Li Shizhong Han H. Cai Fatih Porikli Hao Su 3DPC 39 116 0 18 May 2023
HaSa: Hardness and Structure-Aware Contrastive Knowledge Graph Embedding Honggen Zhang June Zhang Igor Molybog 26 4 0 17 May 2023
Clustering-Aware Negative Sampling for Unsupervised Sentence Representation Jinghao Deng Fanqi Wan Tao Yang Xiaojun Quan Rui Wang SSL 22 9 0 17 May 2023
ContrastNet: A Contrastive Learning Framework for Few-Shot Text Classification J. Chen Richong Zhang Yongyi Mao Jie Xue 29 78 0 16 May 2023
Automatic Radiology Report Generation by Learning with Increasingly Hard Negatives Bhanu Prakash Voutharoja Lei Wang Luping Zhou MedIm 25 8 0 11 May 2023
MSVQ: Self-Supervised Learning with Multiple Sample Views and Queues Chengwei Peng Xianzhong Long Yun Li SSL 38 1 0 09 May 2023
Vision Language Pre-training by Contrastive Learning with Cross-Modal Similarity Regulation Chaoya Jiang Wei Ye Haiyang Xu Miang yan Shikun Zhang Jie Zhang Fei Huang VLM 34 15 0 08 May 2023
PointCMP: Contrastive Mask Prediction for Self-supervised Learning on Point Cloud Videos Zhiqiang Shen Xiaoxiao Sheng Longguang Wang Y. Guo Qiong Liu Xiaoping Zhou 3DPC SSL 32 14 0 06 May 2023
Hierarchical Contrastive Learning Enhanced Heterogeneous Graph Neural Network Nian Liu Tianlin Li Hui-jun Han Chuan Shi SSL 20 5 0 24 Apr 2023
A Cookbook of Self-Supervised Learning Randall Balestriero Mark Ibrahim Vlad Sobal Ari S. Morcos Shashank Shekhar ... Pierre Fernandez Amir Bar Hamed Pirsiavash Yann LeCun Micah Goldblum SyDa FedML SSL 44 273 0 24 Apr 2023
No Free Lunch in Self Supervised Representation Learning Ihab Bendidi Adrien Bardes E. Cohen Alexis Lamiable Guillaume Bollot Auguste Genovesio OOD 52 11 0 23 Apr 2023
Verbs in Action: Improving verb understanding in video-language models Liliane Momeni Mathilde Caron Arsha Nagrani Andrew Zisserman Cordelia Schmid 37 70 0 13 Apr 2023
Attack is Good Augmentation: Towards Skeleton-Contrastive Representation Learning Binqian Xu Xiangbo Shu Rui Yan Guosen Xie Yixiao Ge Mike Zheng Shou AAML 35 1 0 08 Apr 2023
Synthetic Hard Negative Samples for Contrastive Learning Hengkui Dong Xianzhong Long Yun Li Lei Chen SSL 25 7 0 06 Apr 2023
Adaptive Data Augmentation for Contrastive Learning Yu-Hui Zhang He Zhu Shan Yu 17 8 0 05 Apr 2023
VNE: An Effective Method for Improving Deep Representation by Manipulating Eigenvalue Distribution Jaeill Kim Suhyun Kang Duhun Hwang Jungwook Shin Wonjong Rhee DRL 13 21 0 04 Apr 2023
Focalized Contrastive View-invariant Learning for Self-supervised Skeleton-based Action Recognition Qianhui Men Edmond S. L. Ho Hubert P. H. Shum Howard Leung SSL 20 19 0 03 Apr 2023
HaLP: Hallucinating Latent Positives for Skeleton-based Self-Supervised Learning of Actions Anshul B. Shah A. Roy Ketul Shah Shlok Kumar Mishra David W. Jacobs A. Cherian Ramalingam Chellappa SSL 19 25 0 01 Apr 2023
Self-Supervised Multimodal Learning: A Survey Yongshuo Zong Oisin Mac Aodha Timothy M. Hospedales SSL 24 43 0 31 Mar 2023
FEND: A Future Enhanced Distribution-Aware Contrastive Learning Framework for Long-tail Trajectory Prediction Yuning Wang Pu Zhang Lei Bai Jianru Xue 33 23 0 29 Mar 2023
Contrastive Learning Is Spectral Clustering On Similarity Graph Zhi-Hao Tan Yifan Zhang Jingqin Yang Yang Yuan SSL 54 18 0 27 Mar 2023
Analyzing Effects of Mixed Sample Data Augmentation on Model Interpretability Soyoun Won Sung-Ho Bae Seong Tae Kim 50 2 0 26 Mar 2023
Temperature Schedules for Self-Supervised Contrastive Methods on Long-Tail Data Anna Kukleva Moritz Bohle Bernt Schiele Hilde Kuehne Christian Rupprecht 31 39 0 23 Mar 2023
Multi-view Feature Extraction based on Triple Contrastive Heads Hongjie Zhang 11 0 0 22 Mar 2023
Investigating the Role of Attribute Context in Vision-Language Models for Object Recognition and Detection Kyle Buettner Adriana Kovashka 20 0 0 17 Mar 2023
AdPE: Adversarial Positional Embeddings for Pretraining Vision Transformers via MAE+ Tianlin Li Ying Wang Ziwei Xuan Guo-Jun Qi ViT 45 3 0 14 Mar 2023
Align and Attend: Multimodal Summarization with Dual Contrastive Losses Bo He Jun Wang Jielin Qiu Trung Bui Abhinav Shrivastava Zhaowen Wang 22 65 0 13 Mar 2023
Towards domain-invariant Self-Supervised Learning with Batch Styles Standardization Marin Scalbert Maria Vakalopoulou Florent Couzinié-Devy 18 2 0 10 Mar 2023
Self-Supervised One-Shot Learning for Automatic Segmentation of StyleGAN Images Ankit V. Manerikar A. Kak VLM 26 2 0 10 Mar 2023
Contrastive Representation Learning for Acoustic Parameter Estimation Philipp Götz Cagdas Tuna Andreas Walther Emanuel Habets SSL 22 7 0 22 Feb 2023
DrasCLR: A Self-supervised Framework of Learning Disease-related and Anatomy-specific Representation for 3D Medical Images K. Yu Li Sun Junxiang Chen Maxwell Reynolds Tigmanshu Chaudhary Kayhan Batmanghelich 25 1 0 21 Feb 2023
A Review of Predictive and Contrastive Self-supervised Learning for Medical Images Wei-Chien Wang E. Ahn Da-wei Feng Jinman Kim MedIm 27 27 0 10 Feb 2023
Multi-view Feature Extraction based on Dual Contrastive Head Hongjie Zhang 18 1 0 08 Feb 2023
Contrastive Learning with Consistent Representations Zihu Wang Yu Wang Hanbin Hu Peng Li CLL 29 5 0 03 Feb 2023
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 Chaoxi Niu Guansong Pang Ling-Hao Chen 24 9 0 31 Jan 2023
Bayesian Self-Supervised Contrastive Learning B. Liu Bang-wei Wang Tianrui Li SSL BDL 29 4 0 27 Jan 2023
Graph Contrastive Learning for Skeleton-based Action Recognition Xiaohui Huang Hao Zhou Jian Wang Haocheng Feng Junyu Han Errui Ding Jingdong Wang Xinggang Wang Wenyu Liu Bin Feng 35 16 0 26 Jan 2023
Optimizing the Noise in Self-Supervised Learning: from Importance Sampling to Noise-Contrastive Estimation O. Chehab Alexandre Gramfort Aapo Hyvarinen SSL 36 3 0 23 Jan 2023
JCSE: Contrastive Learning of Japanese Sentence Embeddings and Its Applications Zihao Chen H. Handa Kimiaki Shirahama 19 2 0 19 Jan 2023