On the duality between contrastive and non-contrastive self-supervised learning
暂无分享,去创建一个
[1] Yann LeCun,et al. Contrastive and Non-Contrastive Self-Supervised Learning Recover Global and Local Spectral Embedding Methods , 2022, NeurIPS.
[2] Jeff Z. HaoChen,et al. Beyond Separability: Analyzing the Linear Transferability of Contrastive Representations to Related Subpopulations , 2022, NeurIPS.
[3] Sang Michael Xie,et al. Connect, Not Collapse: Explaining Contrastive Learning for Unsupervised Domain Adaptation , 2022, ICML.
[4] Chaoning Zhang,et al. Dual Temperature Helps Contrastive Learning Without Many Negative Samples: Towards Understanding and Simplifying MoCo , 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[5] Jinjin Tian,et al. Contrasting the landscape of contrastive and non-contrastive learning , 2022, AISTATS.
[6] Teck Khim Ng,et al. Mugs: A Multi-Granular Self-Supervised Learning Framework , 2022, ArXiv.
[7] Yann LeCun,et al. Neural Manifold Clustering and Embedding , 2022, ArXiv.
[8] Lars Buesing,et al. Pushing the limits of self-supervised ResNets: Can we outperform supervised learning without labels on ImageNet? , 2022, ArXiv.
[9] T. Furon,et al. Watermarking Images in Self-Supervised Latent Spaces , 2021, ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
[10] Jifeng Dai,et al. Exploring the Equivalence of Siamese Self-Supervised Learning via A Unified Gradient Framework , 2021, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[11] Yann LeCun,et al. Understanding Dimensional Collapse in Contrastive Self-supervised Learning , 2021, ICLR.
[12] Yann LeCun,et al. Decoupled Contrastive Learning , 2021, ECCV.
[13] Chunyuan Li,et al. Efficient Self-supervised Vision Transformers for Representation Learning , 2021, ICLR.
[14] Yann LeCun,et al. VICReg: Variance-Invariance-Covariance Regularization for Self-Supervised Learning , 2021, ICLR.
[15] Tao Kong,et al. iBOT: Image BERT Pre-Training with Online Tokenizer , 2021, ArXiv.
[16] Mingyang Yi,et al. Towards the Generalization of Contrastive Self-Supervised Learning , 2021, ICLR.
[17] John Canny,et al. Compressive Visual Representations , 2021, NeurIPS.
[18] Jeff Z. HaoChen,et al. Provable Guarantees for Self-Supervised Deep Learning with Spectral Contrastive Loss , 2021, Neural Information Processing Systems.
[19] Yuanzhi Li,et al. Toward Understanding the Feature Learning Process of Self-supervised Contrastive Learning , 2021, ICML.
[20] Julien Mairal,et al. Emerging Properties in Self-Supervised Vision Transformers , 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV).
[21] Ruslan Salakhutdinov,et al. A Note on Connecting Barlow Twins with Negative-Sample-Free Contrastive Learning , 2021, ArXiv.
[22] Saining Xie,et al. An Empirical Study of Training Self-Supervised Vision Transformers , 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV).
[23] Yann LeCun,et al. Barlow Twins: Self-Supervised Learning via Redundancy Reduction , 2021, ICML.
[24] Yuandong Tian,et al. Understanding self-supervised Learning Dynamics without Contrastive Pairs , 2021, ICML.
[25] Xinlei Chen,et al. Exploring Simple Siamese Representation Learning , 2020, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[26] Ting Chen,et al. Intriguing Properties of Contrastive Losses , 2020, NeurIPS.
[27] Nicu Sebe,et al. Whitening for Self-Supervised Representation Learning , 2020, ICML.
[28] Julien Mairal,et al. Unsupervised Learning of Visual Features by Contrasting Cluster Assignments , 2020, NeurIPS.
[29] Pierre H. Richemond,et al. Bootstrap Your Own Latent: A New Approach to Self-Supervised Learning , 2020, NeurIPS.
[30] Phillip Isola,et al. Understanding Contrastive Representation Learning through Alignment and Uniformity on the Hypersphere , 2020, ICML.
[31] Kaiming He,et al. Improved Baselines with Momentum Contrastive Learning , 2020, ArXiv.
[32] Geoffrey E. Hinton,et al. A Simple Framework for Contrastive Learning of Visual Representations , 2020, ICML.
[33] Ross B. Girshick,et al. Momentum Contrast for Unsupervised Visual Representation Learning , 2019, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[34] Oriol Vinyals,et al. Representation Learning with Contrastive Predictive Coding , 2018, ArXiv.
[35] Yang You,et al. Large Batch Training of Convolutional Networks , 2017, 1708.03888.
[36] Jian Sun,et al. Deep Residual Learning for Image Recognition , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[37] Quoc V. Le,et al. ICA with Reconstruction Cost for Efficient Overcomplete Feature Learning , 2011, NIPS.
[38] S. Li. Concise Formulas for the Area and Volume of a Hyperspherical Cap , 2011 .
[39] Fei-Fei Li,et al. ImageNet: A large-scale hierarchical image database , 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.
[40] Yann LeCun,et al. Signature Verification Using A "Siamese" Time Delay Neural Network , 1993, Int. J. Pattern Recognit. Artif. Intell..