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The 2021 schedule is still incomplete
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Oral
Thu Jul 22 05:00 AM -- 05:20 AM (PDT)
Confidence Scores Make Instance-dependent Label-noise Learning Possible
In Semisupervised Learning 1
Antonin Berthon · Bo Han · Gang Niu · Tongliang Liu · Masashi Sugiyama
[ Paper ]
Spotlight
Thu Jul 22 05:20 AM -- 05:25 AM (PDT)
Non-Negative Bregman Divergence Minimization for Deep Direct Density Ratio Estimation
In Semisupervised Learning 1
Masahiro Kato · Takeshi Teshima
[ Paper ]
Spotlight
Thu Jul 22 05:25 AM -- 05:30 AM (PDT)
Self-Damaging Contrastive Learning
In Semisupervised Learning 1
Ziyu Jiang · Tianlong Chen · Bobak Mortazavi · Zhangyang “Atlas” Wang
[ Paper ]
Spotlight
Thu Jul 22 05:30 AM -- 05:35 AM (PDT)
Class2Simi: A Noise Reduction Perspective on Learning with Noisy Labels
In Semisupervised Learning 1
Songhua Wu · Xiaobo Xia · Tongliang Liu · Bo Han · Mingming Gong · Nannan Wang · Haifeng Liu · Gang Niu
[ Paper ]
Spotlight
Thu Jul 22 05:35 AM -- 05:40 AM (PDT)
GNNAutoScale: Scalable and Expressive Graph Neural Networks via Historical Embeddings
In Semisupervised Learning 1
Matthias Fey · Jan Eric Lenssen · Frank Weichert · Jure Leskovec
[ Paper ]
Spotlight
Thu Jul 22 05:40 AM -- 05:45 AM (PDT)
Neural Transformation Learning for Deep Anomaly Detection Beyond Images
In Semisupervised Learning 1
Chen Qiu · Timo Pfrommer · Marius Kloft · Stephan Mandt · Maja Rudolph
[ Paper ]
Spotlight
Thu Jul 22 05:45 AM -- 05:50 AM (PDT)
Wasserstein Distributional Normalization For Robust Distributional Certification of Noisy Labeled Data
In Semisupervised Learning 1
Sung Woo Park · Junseok Kwon
[ Paper ]
Q&A
Thu Jul 22 05:50 AM -- 05:55 AM (PDT)
Q&A
In Semisupervised Learning 1