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The 2021 schedule is still incomplete
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Oral
Thu Jul 22 10:00 PM -- 10:20 PM (KST)
Dash: Semi-Supervised Learning with Dynamic Thresholding
In Semisupervised Learning 3
Yi Xu · Lei Shang · Jinxing Ye · Qi Qian · Yu-Feng Li · Baigui Sun · Hao Li · rong jin
[ Paper ]
Spotlight
Thu Jul 22 10:20 PM -- 10:25 PM (KST)
In-Database Regression in Input Sparsity Time
In Semisupervised Learning 3
Rajesh Jayaram · Alireza Samadian · David Woodruff · Peng Ye
[ Paper ]
Spotlight
Thu Jul 22 10:25 PM -- 10:30 PM (KST)
Binary Classification from Multiple Unlabeled Datasets via Surrogate Set Classification
In Semisupervised Learning 3
Nan Lu · Shida Lei · Gang Niu · Issei Sato · Masashi Sugiyama
[ Paper ]
Spotlight
Thu Jul 22 10:30 PM -- 10:35 PM (KST)
Transfer-Based Semantic Anomaly Detection
In Semisupervised Learning 3
Lucas Deecke · Lukas Ruff · Robert Vandermeulen · Hakan Bilen
[ Paper ]
Spotlight
Thu Jul 22 10:35 PM -- 10:40 PM (KST)
Graph Convolution for Semi-Supervised Classification: Improved Linear Separability and Out-of-Distribution Generalization
In Semisupervised Learning 3
Aseem Baranwal · Kimon Fountoulakis · Aukosh Jagannath
[ Paper ]
Spotlight
Thu Jul 22 10:40 PM -- 10:45 PM (KST)
Sinkhorn Label Allocation: Semi-Supervised Classification via Annealed Self-Training
In Semisupervised Learning 3
Kai Sheng Tai · Peter Bailis · Gregory Valiant
[ Paper ]
Q&A
Thu Jul 22 10:45 PM -- 10:50 PM (KST)
Q&A
In Semisupervised Learning 3