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Poster
Mon 17:00 PseudoSeg: Designing Pseudo Labels for Semantic Segmentation
Yuliang Zou · Zizhao Zhang · Han Zhang · Chun-Liang Li · Xiao Bian · Jia-Bin Huang · Tomas Pfister
Poster
Mon 17:00 Semi-supervised Keypoint Localization
Olga Moskvyak · Frederic Maire · Feras Dayoub · Mahsa Baktashmotlagh
Poster
Tue 17:00 Federated Semi-Supervised Learning with Inter-Client Consistency & Disjoint Learning
Wonyong Jeong · Jaehong Yoon · Eunho Yang · Sung Ju Hwang
Poster
Wed 1:00 Learning from Demonstration with Weakly Supervised Disentanglement
Yordan Hristov · Subramanian Ramamoorthy
Poster
Wed 1:00 On Data-Augmentation and Consistency-Based Semi-Supervised Learning
Atin Ghosh · alexandre thiery
Poster
Thu 17:00 ARMOURED: Adversarially Robust MOdels using Unlabeled data by REgularizing Diversity
Kangkang Lu · Cuong Nguyen · Xun Xu · Kiran Chari · Yu Jing Goh · Chuan-Sheng Foo
Poster
Thu 17:00 Theoretical Analysis of Self-Training with Deep Networks on Unlabeled Data
Colin Wei · Kendrick Shen · Yining Chen · Tengyu Ma
Poster
Thu 17:00 No MCMC for me: Amortized sampling for fast and stable training of energy-based models
Will Grathwohl · Jacob Kelly · Milad Hashemi · Mohammad Norouzi · Kevin Swersky · David Duvenaud
Poster
Thu 17:00 In Defense of Pseudo-Labeling: An Uncertainty-Aware Pseudo-label Selection Framework for Semi-Supervised Learning
Mamshad Nayeem Rizve · Kevin Duarte · Yogesh S Rawat · Mubarak Shah
Oral
Thu 19:00 Theoretical Analysis of Self-Training with Deep Networks on Unlabeled Data
Colin Wei · Kendrick Shen · Yining Chen · Tengyu Ma
Workshop
Fri 11:32 Leveraging Unlabelled Data through Semi-supervised Learning to Improve the Performance of a Marine Mammal Classification System
Mark Thomas