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What Makes for Good Views for Contrastive Learning?

20 May 2020

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Papers citing "What Makes for Good Views for Contrastive Learning?"

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Title
Poly-View Contrastive LearningInternational Conference on Learning Representations (ICLR), 2024 Amitis Shidani Devon Hjelm Jason Ramapuram Russ Webb Eeshan Gunesh Dhekane Dan Busbridge VLM SSL 161 9 0 08 Mar 2024
Negating Negatives: Alignment without Human Positive Samples via Distributional Dispreference Optimization Shitong Duan Xiaoyuan Yi Peng Zhang Tun Lu Xing Xie Ning Gu 122 6 0 06 Mar 2024
Cross Domain Policy Transfer with Effect Cycle-Consistency Ruiqi Zhu Tianhong Dai Oya Celiktutan 143 3 0 04 Mar 2024
Self-Supervised Representation Learning with Meta Comprehensive Regularization Huijie Guo Ying Ba Jie Hu Hui Xiong Jingyao Wang Lei Shi SSL 106 5 0 03 Mar 2024
TruthX: Alleviating Hallucinations by Editing Large Language Models in Truthful Space Shaolei Zhang Tian Yu Yang Feng HILM KELM 198 76 0 27 Feb 2024
Demonstrating and Reducing Shortcuts in Vision-Language Representation Learning Maurits J. R. Bleeker Mariya Hendriksen Andrew Yates Maarten de Rijke VLM 203 9 0 27 Feb 2024
Referee Can Play: An Alternative Approach to Conditional Generation via Model Inversion Xuantong Liu Tianyang Hu Wei Cao Kenji Kawaguchi Xingtai Lv DiffM 155 3 0 26 Feb 2024
Self-supervised Visualisation of Medical Image Datasets I. V. Nwabufo Jan Niklas Böhm Philipp Berens D. Kobak 117 1 0 22 Feb 2024
Unsupervised learning based object detection using Contrastive Learning Chandan Kumar Jansel Herrera-Gerena John Just Matthew J. Darr Ali Jannesari SSL 139 1 0 21 Feb 2024
Analysis of Using Sigmoid Loss for Contrastive Learning Chungpa Lee Joonhwan Chang Jy-yong Sohn 147 5 0 20 Feb 2024
Parametric Augmentation for Time Series Contrastive Learning Xu Zheng Tianchun Wang Wei Cheng Aitian Ma Haifeng Chen Mo Sha Dongsheng Luo AI4TS 138 22 0 16 Feb 2024
Pretext Training Algorithms for Event Sequence Data Yimu Wang He Zhao Ruizhi Deng Frederick Tung Greg Mori AI4TS 120 0 0 16 Feb 2024
$f$ -MICL: Understanding and Generalizing InfoNCE-based Contrastive Learning Yiwei Lu Guojun Zhang Sun Sun Hongyu Guo Yaoliang Yu VLM 116 13 0 15 Feb 2024
Graph Inference Acceleration by Learning MLPs on Graphs without Supervision Zehong Wang Zheyuan Zhang Chuxu Zhang Yanfang Ye 125 14 0 14 Feb 2024
A Closer Look at the Robustness of Contrastive Language-Image Pre-Training (CLIP)Neural Information Processing Systems (NeurIPS), 2024 Weijie Tu Weijian Deng Tom Gedeon UQCV VLM 153 46 0 12 Feb 2024
Topic Modeling as Multi-Objective Contrastive OptimizationInternational Conference on Learning Representations (ICLR), 2024 Thong Nguyen Xiaobao Wu Xinshuai Dong Cong-Duy Nguyen See-Kiong Ng Anh Tuan Luu 198 9 0 12 Feb 2024
A self-supervised framework for learning whole slide representations X. Hou Cheng Jiang A. Kondepudi Yiwei Lyu Asadur Chowdury Honglak Lee Rui Feng MedIm 168 8 0 09 Feb 2024
Learning Contrastive Feature Representations for Facial Action Unit Detection Ziqiao Shang Bin Liu Fengmao Lv Fei Teng Tian-Jie Li 180 2 0 09 Feb 2024
Contrastive Diffuser: Planning Towards High Return States via Contrastive Learning Yixiang Shan Zhengbang Zhu Ting Long Qifan Liang Yi-Ju Chang Weinan Zhang Liang Yin OffRL 217 1 0 05 Feb 2024
AOC-IDS: Autonomous Online Framework with Contrastive Learning for Intrusion Detection Xinchen Zhang Running Zhao Zhihan Jiang Zhicong Sun Yulong Ding Edith C.H. Ngai Shuang-Hua Yang 105 9 0 02 Feb 2024
Enhanced Urban Region Profiling with Adversarial Self-Supervised Learning for Robust Forecasting and Security Weiliang Chen Qianqian Ren Jinbao Li Jianguo Sun 111 0 0 02 Feb 2024
Graph Contrastive Learning with Cohesive Subgraph Awareness Yucheng Wu Leye Wang Xiao Han Han-Jia Ye 95 12 0 31 Jan 2024
Better Representations via Adversarial Training in Pre-Training: A Theoretical PerspectiveInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2024 Yue Xing Xiaofeng Lin Qifan Song Yi Tian Xu Belinda Zeng Guang Cheng SSL 151 0 0 26 Jan 2024
Trapped in texture bias? A large scale comparison of deep instance segmentationEuropean Conference on Computer Vision (ECCV), 2024 J. Theodoridis Jessica Hofmann J. Maucher A. Schilling SSeg 156 6 0 17 Jan 2024
Learning Disentangled Speech Representations with Contrastive Learning and Time-Invariant RetrievalIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2024 Yimin Deng Huaizhen Tang Xulong Zhang Ning Cheng Jing Xiao Jianzong Wang DRL 161 2 0 16 Jan 2024
Attention versus Contrastive Learning of Tabular Data -- A Data-centric BenchmarkingInternational Journal of Data Science and Analysis (JDSA), 2024 S. B. Rabbani Ivan V. Medri Manar D. Samad 160 9 0 08 Jan 2024
Unifying Graph Contrastive Learning via Graph Message AugmentationIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2024 Ziyan Zhang Bo Jiang Jin Tang Bin Luo 185 1 0 08 Jan 2024
HEAP: Unsupervised Object Discovery and Localization with Contrastive GroupingAAAI Conference on Artificial Intelligence (AAAI), 2023 Xin Zhang Jinheng Xie Yuan. Yuan Michael Bi Mi Robby T. Tan VOS OCL VLM 253 8 0 29 Dec 2023
Learning Vision from Models Rivals Learning Vision from DataComputer Vision and Pattern Recognition (CVPR), 2023 Yonglong Tian Lijie Fan Kaifeng Chen Dina Katabi Dilip Krishnan Phillip Isola 184 72 0 28 Dec 2023
Towards More Faithful Natural Language Explanation Using Multi-Level Contrastive Learning in VQA Chengen Lai Shengli Song Shiqi Meng Jingyang Li Sitong Yan Guangneng Hu 164 8 0 21 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 206 9 0 19 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 Moustafa 157 1 0 18 Dec 2023
Molecule Joint Auto-Encoding: Trajectory Pretraining with 2D and 3D Diffusion Weitao Du Jiujiu Chen Xuecang Zhang Zhiming Ma Shengchao Liu DiffM 177 11 0 06 Dec 2023
Guarding Barlow Twins Against Overfitting with Mixed SamplesAdvanced Video and Signal Based Surveillance (AVSS), 2023 W. G. C. Bandara C. D. Melo Vishal M. Patel SSL 180 12 0 04 Dec 2023
Bigger is not Always Better: The Effect of Context Size on Speech Pre-Training Sean Robertson Ewan Dunbar SSL 111 1 0 03 Dec 2023
Disentangling the Effects of Data Augmentation and Format Transform in Self-Supervised Learning of Image Representations Neha Kalibhat Warren Morningstar Alex Bijamov Luyang Liu Karan Singhal Philip Mansfield 100 3 0 02 Dec 2023
SASSL: Enhancing Self-Supervised Learning via Neural Style Transfer Renan A. Rojas-Gomez Karan Singhal Ali Etemad Alex Bijamov Warren Morningstar Philip Mansfield 227 1 0 02 Dec 2023
Understanding Self-Supervised Features for Learning Unsupervised Instance Segmentation Paul Engstler Luke Melas-Kyriazi Christian Rupprecht Iro Laina SSL 128 6 0 24 Nov 2023
Deep Tensor Network Yifan Zhang 225 0 0 18 Nov 2023
From Pretext to Purpose: Batch-Adaptive Self-Supervised Learning Jiansong Zhang Linlin Shen Peizhong Liu SSL 120 0 0 16 Nov 2023
Towards Improving Robustness Against Common Corruptions in Object Detectors Using Adversarial Contrastive Learning Shashank Kotyan Danilo Vasconcellos Vargas AAML 122 0 0 14 Nov 2023
Towards a Unified Framework of Contrastive Learning for Disentangled Representations Stefan Matthes Zhiwei Han Hao Shen 165 9 0 08 Nov 2023
Multi-View Causal Representation Learning with Partial ObservabilityInternational Conference on Learning Representations (ICLR), 2023 Dingling Yao Danru Xu Sébastien Lachapelle Sara Magliacane Perouz Taslakian Georg Martius Julius von Kügelgen Francesco Locatello CML 261 51 0 07 Nov 2023
CATE Estimation With Potential Outcome Imputation From Local RegressionConference on Uncertainty in Artificial Intelligence (UAI), 2023 Ahmed Aloui Juncheng Dong Cat P. Le Vahid Tarokh CML 118 3 0 07 Nov 2023
CROMA: Remote Sensing Representations with Contrastive Radar-Optical Masked AutoencodersNeural Information Processing Systems (NeurIPS), 2023 A. Fuller K. Millard James R. Green 171 116 0 01 Nov 2023
MNN: Mixed Nearest-Neighbors for Self-Supervised Learning Xianzhong Long Chen Peng Yun Li SSL 141 0 0 01 Nov 2023
Exploring Data Augmentations on Self-/Semi-/Fully- Supervised Pre-trained Models Shentong Mo Zhun Sun Chao Li 75 2 0 28 Oct 2023
Patch-Wise Self-Supervised Visual Representation Learning: A Fine-Grained ApproachSignal, Image and Video Processing (SIVP), 2023 Ali Javidani Mohammad Amin Sadeghi Babak N. Araabi 268 1 0 28 Oct 2023
Learning Repeatable Speech Embeddings Using An Intra-class Correlation RegularizerNeural Information Processing Systems (NeurIPS), 2023 Jianwei Zhang Suren Jayasuriya Visar Berisha SSL 144 2 0 25 Oct 2023
ADMarker: A Multi-Modal Federated Learning System for Monitoring Digital Biomarkers of Alzheimer's DiseaseACM/IEEE International Conference on Mobile Computing and Networking (MobiCom), 2023 Xiaomin Ouyang Xian Shuai Yang Li Lilin Pan Xifan Zhang ... Hazel Mok Zhenyu Yan Doris Sau Fung Yu Timothy Kwok Guoliang Xing 128 28 0 23 Oct 2023

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What Makes for Good Views for Contrastive Learning?

Papers citing "What Makes for Good Views for Contrastive Learning?"