Contrastive Learning with Hard Negative Samples

9 October 2020

Papers citing "Contrastive Learning with Hard Negative Samples"

50 / 443 papers shown

Title
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 8 0 06 Jun 2023
Matrix Information Theory for Self-Supervised Learning Yifan Zhang Zhi-Hao Tan Jingqin Yang Weiran Huang Yang Yuan SSL 40 16 0 27 May 2023
Graph-Based Model-Agnostic Data Subsampling for Recommendation Systems Xiaohui Chen Jiankai Sun Taiqing Wang Ruocheng Guo Liping Liu Aonan Zhang 25 3 0 25 May 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
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 32 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 31 116 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
Sharpness & Shift-Aware Self-Supervised Learning Ngoc N. Tran S. Duong Hoang Phan Tung Pham Dinh Q. Phung Trung Le SSL 21 1 0 17 May 2023
Enhancing Contrastive Learning with Noise-Guided Attack: Towards Continual Relation Extraction in the Wild Ting Wu Jingyi Liu Rui Zheng Qi Zhang Tao Gui Xuanjing Huang CLL 30 0 0 11 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 20 14 0 06 May 2023
Contrastive Graph Clustering in Curvature Spaces Li Sun Feiyang Wang Junda Ye Hao Peng Philip S. Yu 24 17 0 05 May 2023
Enhancing Adversarial Contrastive Learning via Adversarial Invariant Regularization Xilie Xu Jingfeng Zhang Feng Liu Masashi Sugiyama Mohan S. Kankanhalli AAML 27 10 0 30 Apr 2023
Sample-Specific Debiasing for Better Image-Text Models Peiqi Wang Yingcheng Liu Ching-Yun Ko W. Wells Seth Berkowitz Steven Horng Polina Golland SSL MedIm 22 1 0 25 Apr 2023
Unsupervised Synthetic Image Refinement via Contrastive Learning and Consistent Semantic-Structural Constraints Ganning Zhao Ting-Li Shen Suya You C.-C. Jay Kuo 32 5 0 25 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 41 273 0 24 Apr 2023
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
Verbs in Action: Improving verb understanding in video-language models Liliane Momeni Mathilde Caron Arsha Nagrani Andrew Zisserman Cordelia Schmid 30 70 0 13 Apr 2023
Looking Similar, Sounding Different: Leveraging Counterfactual Cross-Modal Pairs for Audiovisual Representation Learning Nikhil Singh Chih-Wei Wu Iroro Orife Mahdi M. Kalayeh 23 2 0 12 Apr 2023
Investigating Graph Structure Information for Entity Alignment with Dangling Cases Jin Xu Y. Li Xiangjin Xie Yinghui Li Niu Hu Haitao Zheng Yong-jia Jiang 21 1 0 10 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 27 1 0 08 Apr 2023
Synthetic Hard Negative Samples for Contrastive Learning Hengkui Dong Xianzhong Long Yun Li Lei Chen SSL 15 7 0 06 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
On Context Distribution Shift in Task Representation Learning for Offline Meta RL Chenyang Zhao Zihao Zhou Bing-Quan Liu OffRL 21 3 0 01 Apr 2023
Self-Supervised Multimodal Learning: A Survey Yongshuo Zong Oisin Mac Aodha Timothy M. Hospedales SSL 19 43 0 31 Mar 2023
Temperature Schedules for Self-Supervised Contrastive Methods on Long-Tail Data Anna Kukleva Moritz Bohle Bernt Schiele Hilde Kuehne Christian Rupprecht 29 39 0 23 Mar 2023
Coreset Sampling from Open-Set for Fine-Grained Self-Supervised Learning Sungnyun Kim Sangmin Bae Se-Young Yun 22 9 0 20 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+ Xiao Wang Ying Wang Ziwei Xuan Guo-Jun Qi ViT 39 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 8 2 0 10 Mar 2023
Distortion-Disentangled Contrastive Learning Jinfeng Wang Sifan Song Jionglong Su S. Kevin Zhou SSL 41 4 0 09 Mar 2023
Magnushammer: A Transformer-Based Approach to Premise Selection Maciej Mikuła Szymon Tworkowski Szymon Antoniak Bartosz Piotrowski Albert Qiaochu Jiang Jinyi Zhou Christian Szegedy Lukasz Kuciñski Piotr Milo's Yuhuai Wu 39 42 0 08 Mar 2023
Internet Explorer: Targeted Representation Learning on the Open Web Alexander C. Li Ellis L Brown Alexei A. Efros Deepak Pathak VLM 16 24 0 27 Feb 2023
Contrastive Representation Learning for Acoustic Parameter Estimation Philipp Götz Cagdas Tuna Andreas Walther Emanuel Habets SSL 9 7 0 22 Feb 2023
Test-Time Distribution Normalization for Contrastively Learned Vision-language Models Yi Zhou Juntao Ren Fengyu Li Ramin Zabih Ser-Nam Lim VLM 26 13 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 17 1 0 21 Feb 2023
Data-Efficient Contrastive Self-supervised Learning: Most Beneficial Examples for Supervised Learning Contribute the Least S. Joshi Baharan Mirzasoleiman SSL 27 18 0 18 Feb 2023
InfoNCE Loss Provably Learns Cluster-Preserving Representations Advait Parulekar Liam Collins Karthikeyan Shanmugam Aryan Mokhtari Sanjay Shakkottai SSL 32 20 0 15 Feb 2023
Paparazzi: A Deep Dive into the Capabilities of Language and Vision Models for Grounding Viewpoint Descriptions Henrik Voigt J. Hombeck M. Meuschke K. Lawonn Sina Zarrieß VLM 25 1 0 13 Feb 2023
Referential communication in heterogeneous communities of pre-trained visual deep networks Matéo Mahaut Francesca Franzon Roberto Dessì Marco Baroni 25 7 0 04 Feb 2023
MOMA:Distill from Self-Supervised Teachers Yuan Yao Nandakishor Desai M. Palaniswami 32 2 0 04 Feb 2023
Relating EEG to continuous speech using deep neural networks: a review Corentin Puffay Bernd Accou Lies Bollens Mohammad Jalilpour-Monesi Jonas Vanthornhout Hugo Van hamme T. Francart 11 40 0 03 Feb 2023
Contrastive Learning with Consistent Representations Zihu Wang Yu Wang Hanbin Hu Peng Li CLL 24 5 0 03 Feb 2023
Affinity Uncertainty-based Hard Negative Mining in Graph Contrastive Learning Chaoxi Niu Guansong Pang Ling-Hao Chen 24 9 0 31 Jan 2023
The Influences of Color and Shape Features in Visual Contrastive Learning Xiao-qiong Zhuang SSL 19 0 0 29 Jan 2023
Bayesian Self-Supervised Contrastive Learning B. Liu Bang-wei Wang Tianrui Li SSL BDL 16 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 30 16 0 26 Jan 2023
JCSE: Contrastive Learning of Japanese Sentence Embeddings and Its Applications Zihao Chen H. Handa Kimiaki Shirahama 14 2 0 19 Jan 2023
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 6 3 0 18 Jan 2023