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The 2021 schedule is still incomplete
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Oral
Wed Jul 21 05:00 AM -- 05:20 AM (PDT)
When All We Need is a Piece of the Pie: A Generic Framework for Optimizing Two-way Partial AUC
Zhiyong Yang · Qianqian Xu · Shilong Bao · Yuan He · Xiaochun Cao · Qingming Huang
Spotlight
Wed Jul 21 05:20 AM -- 05:25 AM (PDT)
SiameseXML: Siamese Networks meet Extreme Classifiers with 100M Labels
Kunal Dahiya · Ananye Agarwal · Deepak Saini · Gururaj K · Jian Jiao · Amit Singh · Sumeet Agarwal · Purushottam Kar · Manik Varma
Spotlight
Wed Jul 21 05:25 AM -- 05:30 AM (PDT)
Disentangling Sampling and Labeling Bias for Learning in Large-output Spaces
Ankit Singh Rawat · Aditya Menon · Wittawat Jitkrittum · Sadeep Jayasumana · Felix Xinnan Yu · Sashank Jakkam Reddi · Sanjiv Kumar
Spotlight
Wed Jul 21 05:30 AM -- 05:35 AM (PDT)
Learning Randomly Perturbed Structured Predictors for Direct Loss Minimization
Hedda Cohen Indelman · Tamir Hazan
Spotlight
Wed Jul 21 05:35 AM -- 05:40 AM (PDT)
Improving Molecular Graph Neural Network Explainability with Orthonormalization and Induced Sparsity
Ryan Henderson · Djork-Arné Clevert · Floriane Montanari
Spotlight
Wed Jul 21 05:40 AM -- 05:45 AM (PDT)
Evaluating Robustness of Predictive Uncertainty Estimation: Are Dirichlet-based Models Reliable?
Anna-Kathrin Kopetzki · Bertrand Charpentier · Daniel Zügner · Sandhya Giri · Stephan Günnemann
Spotlight
Wed Jul 21 05:45 AM -- 05:50 AM (PDT)
Meta-learning Hyperparameter Performance Prediction with Neural Processes
Ying WEI · Peilin Zhao · Junzhou Huang
Q&A
Wed Jul 21 05:50 AM -- 05:55 AM (PDT)
Q&A