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The 2021 schedule is still incomplete
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Oral
Wed Jul 21 09:00 PM -- 09:20 PM (KST)
When All We Need is a Piece of the Pie: A Generic Framework for Optimizing Two-way Partial AUC
In Supervised Learning 1
Zhiyong Yang · Qianqian Xu · Shilong Bao · Yuan He · Xiaochun Cao · Qingming Huang
[ Paper ]
Spotlight
Wed Jul 21 09:20 PM -- 09:25 PM (KST)
SiameseXML: Siamese Networks meet Extreme Classifiers with 100M Labels
In Supervised Learning 1
Kunal Dahiya · Ananye Agarwal · Deepak Saini · Gururaj K · Jian Jiao · Amit Singh · Sumeet Agarwal · Purushottam Kar · Manik Varma
[ Paper ]
Spotlight
Wed Jul 21 09:25 PM -- 09:30 PM (KST)
Disentangling Sampling and Labeling Bias for Learning in Large-output Spaces
In Supervised Learning 1
Ankit Singh Rawat · Aditya Menon · Wittawat Jitkrittum · Sadeep Jayasumana · Felix Xinnan Yu · Sashank Jakkam Reddi · Sanjiv Kumar
[ Paper ]
Spotlight
Wed Jul 21 09:30 PM -- 09:35 PM (KST)
Learning Randomly Perturbed Structured Predictors for Direct Loss Minimization
In Supervised Learning 1
Hedda Cohen Indelman · Tamir Hazan
[ Paper ]
Spotlight
Wed Jul 21 09:35 PM -- 09:40 PM (KST)
Improving Molecular Graph Neural Network Explainability with Orthonormalization and Induced Sparsity
In Supervised Learning 1
Ryan Henderson · Djork-Arné Clevert · Floriane Montanari
[ Paper ]
Spotlight
Wed Jul 21 09:40 PM -- 09:45 PM (KST)
Evaluating Robustness of Predictive Uncertainty Estimation: Are Dirichlet-based Models Reliable?
In Supervised Learning 1
Anna-Kathrin Kopetzki · Bertrand Charpentier · Daniel Zügner · Sandhya Giri · Stephan Günnemann
[ Paper ]
Spotlight
Wed Jul 21 09:45 PM -- 09:50 PM (KST)
Meta-learning Hyperparameter Performance Prediction with Neural Processes
In Supervised Learning 1
Ying WEI · Peilin Zhao · Junzhou Huang
[ Paper ]
Q&A
Wed Jul 21 09:50 PM -- 09:55 PM (KST)
Q&A
In Supervised Learning 1