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References from Partial Contrastive Learning for Partially View-Aligned Multi-View Clustering. Local targets link to admitted publications; unresolved targets remain external evidence.
The Caltech-UCSD birds-200–2011 dataset
2011 · External reference
10.1109/cvpr42600.2020.01463
10.1109/cvpr42600.2020.01463 · External reference
One pass late fusion multi-view clustering
External reference
Highly-efficient incomplete large-scale multi-view clustering with consensus bipartite graph
External reference
Simple yet effective incomplete multi-view clustering: Similarity-level imputation and intra-view hybrid-group prototype construction
External reference
10.1109/cvpr.2019.00947
10.1109/cvpr.2019.00947 · External reference
Deep generative clustering with multimodal diffusion variational autoencoders
External reference
10.1109/cvpr52688.2022.01558
10.1109/cvpr52688.2022.01558 · External reference
10.1109/tpami.2021.3125687
10.1109/tpami.2021.3125687 · External reference
10.1109/cvpr52729.2023.01902
10.1109/cvpr52729.2023.01902 · External reference
10.1109/iccv51070.2023.00306
10.1109/iccv51070.2023.00306 · External reference
10.52202/075280-2336
10.52202/075280-2336 · External reference
Partially view-aligned clustering
External reference
10.1145/3447548.3467294
10.1145/3447548.3467294 · External reference
10.1016/j.inffus.2024.102786
10.1016/j.inffus.2024.102786 · External reference
10.1145/3637528.3671689
10.1145/3637528.3671689 · External reference
Relating by contrasting: A data-efficient framework for multimodal generative models
External reference
10.1109/tpami.2022.3222569
10.1109/tpami.2022.3222569 · External reference
10.1109/tip.2024.3480701
10.1109/tip.2024.3480701 · External reference
10.1109/iccv.2019.00403
10.1109/iccv.2019.00403 · External reference
Scalable Gromov-Wasserstein learning for graph partitioning and matching
External reference
Learning autoencoders with relational regularization
External reference
10.1145/3511808.3557339
10.1145/3511808.3557339 · External reference
Learning with noisy correspondence for cross-modal matching
External reference
10.1109/tpami.2023.3247939
10.1109/tpami.2023.3247939 · External reference
10.1109/cvpr46437.2021.00119
10.1109/cvpr46437.2021.00119 · External reference
10.1109/tkde.2024.3423307
10.1109/tkde.2024.3423307 · External reference
Representation learning with contrastive predictive coding
2018 · External reference
Understanding multimodal contrastive learning and incorporating unpaired data
External reference
10.1145/3664647.3681331
10.1145/3664647.3681331 · External reference
10.1109/tpami.2022.3155499
10.1109/tpami.2022.3155499 · External reference
10.1561/2200000073 · Admitted local publication
10.3828/jtep.1969.3.1.108
10.3828/jtep.1969.3.1.108 · External reference
Sinkhorn distances: Lightspeed computation of optimal transport
External reference
Improving mini-batch optimal transport via partial transportation
External reference
10.1016/j.jfa.2018.03.008
10.1016/j.jfa.2018.03.008 · External reference
Partial optimal transport with applications on positive-unlabeled learning
External reference
10.1109/cvpr.2015.7298682
10.1109/cvpr.2015.7298682 · External reference
Improved deep metric learning with multi-class N-pair loss objective
External reference
10.1007/978-3-030-58621-8_45
10.1007/978-3-030-58621-8_45 · External reference
10.5555/3524938.3525087
10.5555/3524938.3525087 · External reference
Noise-contrastive estimation: A new estimation principle for unnormalized statistical models
External reference
Understanding contrastive representation learning through alignment and uniformity on the hypersphere
External reference
Intriguing properties of contrastive losses
External reference
10.1109/cvpr52688.2022.01617
10.1109/cvpr52688.2022.01617 · External reference
10.1109/cvpr46437.2021.00131
10.1109/cvpr46437.2021.00131 · External reference
10.1109/iccv51070.2023.01536
10.1109/iccv51070.2023.01536 · External reference
10.1109/tkde.2023.3270311
10.1109/tkde.2023.3270311 · External reference
10.1109/tpami.2020.3037734
10.1109/tpami.2020.3037734 · External reference
Multiple kernel $ k$k-means with incomplete kernels
2020 · External reference
10.1109/tpami.2022.3197238
10.1109/tpami.2022.3197238 · External reference
10.1109/tsmc.2022.3192635
10.1109/tsmc.2022.3192635 · External reference
10.1109/tpami.2023.3332967
10.1109/tpami.2023.3332967 · External reference
DM2C: Deep mixed-modal clustering
External reference
Cross-view graph contrastive representation learning on partially aligned multi-view data
2022 · External reference
10.1609/aaai.v31i1.10894
10.1609/aaai.v31i1.10894 · External reference
10.52202/068431-1089
10.52202/068431-1089 · External reference
Comic: Multi-view clustering without parameter selection
External reference
Variational mixture-of-experts autoencoders for multi-modal deep generative models
External reference
10.1109/tpami.2006.79
10.1109/tpami.2006.79 · External reference
10.1109/tpami.2022.3171983
10.1109/tpami.2022.3171983 · External reference
Learning from multiple partially observed views-an application to multilingual text categorization
External reference
10.24963/ijcai.2019/356
10.24963/ijcai.2019/356 · External reference
10.1109/cvpr.2005.16
10.1109/cvpr.2005.16 · External reference
10.1109/iccv.2013.259
10.1109/iccv.2013.259 · External reference
10.1109/tmm.2023.3272169
10.1109/tmm.2023.3272169 · External reference
10.1145/1646396.1646452
10.1145/1646396.1646452 · External reference
10.1109/cvpr.2019.01064
10.1109/cvpr.2019.01064 · External reference
10.1109/icassp.2015.7178840
10.1109/icassp.2015.7178840 · External reference
10.1016/j.inffus.2024.102357
10.1016/j.inffus.2024.102357 · External reference
