A Simple Framework for Contrastive Learning of Visual Representations

13 February 2020

Papers citing "A Simple Framework for Contrastive Learning of Visual Representations"

50 / 6,821 papers shown

Title
Meta Transfer of Self-Supervised Knowledge: Foundation Model in Action for Post-Traumatic Epilepsy Prediction Wenhui Cui H. Akrami Ganning Zhao Anand A. Joshi Richard M. Leahy 6 2 0 21 Dec 2023
SE(3)-Equivariant and Noise-Invariant 3D Rigid Motion Tracking in Brain MRI Benjamin Billot Neel Dey Daniel Moyer M. Hoffmann Esra Abaci Turk B. Gagoski Ellen Grant Polina Golland 3DPC 15 6 0 21 Dec 2023
Fed-QSSL: A Framework for Personalized Federated Learning under Bitwidth and Data Heterogeneity Yiyue Chen H. Vikalo C. Wang FedML 34 5 0 20 Dec 2023
Gappy local conformal auto-encoders for heterogeneous data fusion: in praise of rigidity Erez Peterfreund Iryna Burak Ofir Lindenbaum Jim Gimlett Felix Dietrich Ronald R. Coifman Ioannis G. Kevrekidis 15 3 0 20 Dec 2023
FusDom: Combining In-Domain and Out-of-Domain Knowledge for Continuous Self-Supervised Learning Ashish Seth Sreyan Ghosh S. Umesh Dinesh Manocha CLL 17 1 0 20 Dec 2023
No More Shortcuts: Realizing the Potential of Temporal Self-Supervision I. Dave Simon Jenni Mubarak Shah 33 7 0 20 Dec 2023
TADAP: Trajectory-Aided Drivable area Auto-labeling with Pre-trained self-supervised features in winter driving conditions Eerik Alamikkotervo Risto Ojala Alvari Seppänen Kari Tammi 16 0 0 20 Dec 2023
Convolutional Channel-wise Competitive Learning for the Forward-Forward Algorithm A. Papachristodoulou C. Kyrkou S. Timotheou T. Theocharides 24 8 0 19 Dec 2023
Misalign, Contrast then Distill: Rethinking Misalignments in Language-Image Pretraining Bumsoo Kim Yeonsik Jo Jinhyung Kim S. Kim VLM 14 6 0 19 Dec 2023
RealGen: Retrieval Augmented Generation for Controllable Traffic Scenarios Wenhao Ding Yulong Cao Ding Zhao Chaowei Xiao Marco Pavone 19 22 0 19 Dec 2023
Expediting Contrastive Language-Image Pretraining via Self-distilled Encoders Bumsoo Kim Jinhyung Kim Yeonsik Jo S. Kim VLM 21 3 0 19 Dec 2023
SMC-NCA: Semantic-guided Multi-level Contrast for Semi-supervised Temporal Action Segmentation Feixiang Zhou Zheheng Jiang Huiyu Zhou Xuelong Li 24 0 0 19 Dec 2023
Zero-shot Building Attribute Extraction from Large-Scale Vision and Language Models Fei Pan Sangryul Jeon Brian Wang Frank Mckenna Stella X. Yu 36 2 0 19 Dec 2023
Mask Grounding for Referring Image Segmentation Yong Xien Chng Henry Zheng Yizeng Han Xuchong Qiu Gao Huang ISeg ObjD 24 15 0 19 Dec 2023
StyleSpeech: Self-supervised Style Enhancing with VQ-VAE-based Pre-training for Expressive Audiobook Speech Synthesis Xueyuan Chen Xi Wang Shaofei Zhang Lei He Zhiyong Wu Xixin Wu Helen M. Meng 41 7 0 19 Dec 2023
When Graph Neural Network Meets Causality: Opportunities, Methodologies and An Outlook Wenzhao Jiang Hao Liu Hui Xiong CML AI4CE 36 2 0 19 Dec 2023
Synergistic Anchored Contrastive Pre-training for Few-Shot Relation Extraction Da Luo Yanglei Gan Rui Hou Run Lin Qiao Liu Yuxiang Cai Wannian Gao 19 4 0 19 Dec 2023
Coreference Graph Guidance for Mind-Map Generation Zhuowei Zhang Mengting Hu Yinhao Bai Zhen Zhang 22 0 0 19 Dec 2023
Time-Series Contrastive Learning against False Negatives and Class Imbalance Xi Jin Jing Wang Lei Liu Youfang Lin 24 1 0 19 Dec 2023
DMT: Comprehensive Distillation with Multiple Self-supervised Teachers Yuang Liu Jing Wang Qiang-feng Zhou Fan Wang Jun Wang Wei Zhang 18 0 0 19 Dec 2023
Difficulty-Focused Contrastive Learning for Knowledge Tracing with a Large Language Model-Based Difficulty Prediction Unggi Lee Sungjun Yoon Joon Seo Yun Kyoungsoo Park YoungHoon Jung Damji Stratton Hyeoncheol Kim 11 6 0 19 Dec 2023
Self-supervised Learning for Enhancing Geometrical Modeling in 3D-Aware Generative Adversarial Network Jiarong Guo Xiaogang Xu Hengshuang Zhao 31 1 0 19 Dec 2023
Layerwise complexity-matched learning yields an improved model of cortical area V2 Nikhil Parthasarathy Olivier J. Hénaff Eero P. Simoncelli 32 1 0 18 Dec 2023
Leveraging Normalization Layer in Adapters With Progressive Learning and Adaptive Distillation for Cross-Domain Few-Shot Learning Yongjin Yang Taehyeon Kim SeYoung Yun 30 4 0 18 Dec 2023
Cross-Age Contrastive Learning for Age-Invariant Face Recognition Haoyi Wang Victor Sanchez Chang-Tsun Li CVBM 8 4 0 18 Dec 2023
Efficiency-oriented approaches for self-supervised speech representation learning Luis Lugo Valentin Vielzeuf SSL 21 1 0 18 Dec 2023
UniChest: Conquer-and-Divide Pre-training for Multi-Source Chest X-Ray Classification Tianjie Dai Ruipeng Zhang Feng Hong Jiangchao Yao Ya-Qin Zhang Yanfeng Wang 22 8 0 18 Dec 2023
Knowledge Graphs and Pre-trained Language Models enhanced Representation Learning for Conversational Recommender Systems Zhangchi Qiu Ye Tao Shirui Pan Alan Wee-Chung Liew 23 5 0 18 Dec 2023
From Google Gemini to OpenAI Q* (Q-Star): A Survey of Reshaping the Generative Artificial Intelligence (AI) Research Landscape Timothy R. McIntosh Teo Susnjak Tong Liu Paul Watters Malka N. Halgamuge 79 46 0 18 Dec 2023
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
CEIR: Concept-based Explainable Image Representation Learning Yan Cui Shuhong Liu Liuzhuozheng Li Zhiyuan Yuan SSL VLM 21 3 0 17 Dec 2023
Towards Compact 3D Representations via Point Feature Enhancement Masked Autoencoders Yaohua Zha Huizhen Ji Jinmin Li Rongsheng Li Tao Dai Bin Chen Zhi Wang Shu-Tao Xia 3DPC 27 22 0 17 Dec 2023
How to Efficiently Annotate Images for Best-Performing Deep Learning Based Segmentation Models: An Empirical Study with Weak and Noisy Annotations and Segment Anything Model Yixin Zhang Shen Zhao Han Gu Maciej Mazurowski VLM 30 4 0 17 Dec 2023
How to Train Neural Field Representations: A Comprehensive Study and Benchmark Samuele Papa Riccardo Valperga David M. Knigge Miltiadis Kofinas Phillip Lippe J. Sonke E. Gavves 27 7 0 16 Dec 2023
Debiasing Multimodal Sarcasm Detection with Contrastive Learning Mengzhao Jia Can Xie Liqiang Jing 11 19 0 16 Dec 2023
Semantic-Aware Autoregressive Image Modeling for Visual Representation Learning Kaiyou Song Shan Zhang Tong Wang VLM 19 2 0 16 Dec 2023
Fusing Conditional Submodular GAN and Programmatic Weak Supervision Kumar Shubham Pranav Sastry AP Prathosh 19 1 0 16 Dec 2023
Data-Efficient Multimodal Fusion on a Single GPU Noël Vouitsis Zhaoyan Liu S. Gorti Valentin Villecroze Jesse C. Cresswell Guangwei Yu G. Loaiza-Ganem M. Volkovs 43 3 0 15 Dec 2023
Structural Information Guided Multimodal Pre-training for Vehicle-centric Perception Xiao Wang Wentao Wu Chenglong Li Zhicheng Zhao Zhe Chen Yukai Shi Jin Tang 46 4 0 15 Dec 2023
SkySense: A Multi-Modal Remote Sensing Foundation Model Towards Universal Interpretation for Earth Observation Imagery Xin Guo Jiangwei Lao Bo Dang Yingying Zhang Lei Yu ... Jian Wang Jingdong Chen Ming Yang Yongjun Zhang Yansheng Li 34 116 0 15 Dec 2023
Pixel-Superpixel Contrastive Learning and Pseudo-Label Correction for Hyperspectral Image Clustering Renxiang Guan Zihao Li Xianju Li Chang-Fu Tang 11 26 0 15 Dec 2023
A novel dual-stream time-frequency contrastive pretext tasks framework for sleep stage classification Sergio Kazatzidis S. Mehrkanoon AI4TS 14 1 0 15 Dec 2023
CLAF: Contrastive Learning with Augmented Features for Imbalanced Semi-Supervised Learning Bowen Tao Lan Li Xin-Chun Li De-Chuan Zhan 21 0 0 15 Dec 2023
Improving Cross-domain Few-shot Classification with Multilayer Perceptron Shuanghao Bai Wanqi Zhou Zhirong Luan Donglin Wang Badong Chen 14 4 0 15 Dec 2023
On the Difficulty of Defending Contrastive Learning against Backdoor Attacks Changjiang Li Ren Pang Bochuan Cao Zhaohan Xi Jinghui Chen Shouling Ji Ting Wang AAML 34 6 0 14 Dec 2023
ReCoRe: Regularized Contrastive Representation Learning of World Model Rudra P. K. Poudel Harit Pandya Stephan Liwicki Roberto Cipolla DRL OffRL 23 6 0 14 Dec 2023
Exploring Transferability for Randomized Smoothing Kai Qiu Huishuai Zhang Zhirong Wu Stephen Lin AAML 16 1 0 14 Dec 2023
EAT: Towards Long-Tailed Out-of-Distribution Detection Tong Wei Bo-Lin Wang Min-Ling Zhang OODD 18 14 0 14 Dec 2023
Detection and Defense of Unlearnable Examples Yifan Zhu Lijia Yu Xiao-Shan Gao AAML 16 7 0 14 Dec 2023
Revisiting Recommendation Loss Functions through Contrastive Learning (Technical Report) Dong Li Ruoming Jin Bin Ren 23 4 0 13 Dec 2023