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Poster
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Fri 8:30
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Consistency Regularization for Variational Auto-Encoders
Samarth Sinha · Adji Bousso Dieng
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Poster
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Tue 8:30
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COCO-LM: Correcting and Contrasting Text Sequences for Language Model Pretraining
Yu Meng · Chenyan Xiong · Payal Bajaj · saurabh tiwary · Paul Bennett · Jiawei Han · XIA SONG
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Spotlight
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A Theory-Driven Self-Labeling Refinement Method for Contrastive Representation Learning
Pan Zhou · Caiming Xiong · Xiaotong Yuan · Steven Chu Hong Hoi
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Poster
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Thu 16:30
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Unbiased Classification through Bias-Contrastive and Bias-Balanced Learning
Youngkyu Hong · Eunho Yang
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Poster
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Fri 8:30
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Multi-view Contrastive Graph Clustering
ErLin Pan · Zhao Kang
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Poster
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Tue 16:30
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A Theory-Driven Self-Labeling Refinement Method for Contrastive Representation Learning
Pan Zhou · Caiming Xiong · Xiaotong Yuan · Steven Chu Hong Hoi
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Poster
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Fri 8:30
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Robust Contrastive Learning Using Negative Samples with Diminished Semantics
Songwei Ge · Shlok Mishra · Chun-Liang Li · Haohan Wang · David Jacobs
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Workshop
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Mon 14:37
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NIDA-CLIFGAN: Natural Infrastructure Damage Assessment through Efficient Classification Combining Contrastive Learning, Information Fusion and Generative Adversarial Networks
jie wei
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Poster
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Thu 16:30
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Improving Self-supervised Learning with Automated Unsupervised Outlier Arbitration
Yu Wang · Jingyang Lin · Jingjing Zou · Yingwei Pan · Ting Yao · Tao Mei
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Workshop
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Conditional Alignment and Uniformity for Contrastive Learning with Continuous Proxy Labels
Benoit Dufumier · Pietro Gori · Edouard Duchesnay · Julie Victor · Antoine Grigis
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Workshop
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Gaussian Mixture Variational Autoencoder with Contrastive Learning for Multi-Label Classification
Junwen Bai · Shufeng Kong · Carla Gomes
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Workshop
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NIDA-CLIFGAN: Natural Infrastructure Damage Assessment through Efficient Classification Combining Contrastive Learning, Information Fusion and Generative Adversarial Networks (Poster)
jie wei
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