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The 2021 schedule is still incomplete
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Oral
Thu Jul 22 11:00 AM -- 11:20 AM (KST)
RNN with Particle Flow for Probabilistic Spatio-temporal Forecasting
In Applications 2
Soumyasundar Pal · Liheng Ma · Yingxue Zhang · Mark Coates
[ Paper ]
Spotlight
Thu Jul 22 11:20 AM -- 11:25 AM (KST)
A Differentiable Point Process with Its Application to Spiking Neural Networks
In Applications 2
Hiroshi Kajino
[ Paper ]
Spotlight
Thu Jul 22 11:25 AM -- 11:30 AM (KST)
Diffusion Source Identification on Networks with Statistical Confidence
In Applications 2
Quinlan Dawkins · Tianxi Li · Haifeng Xu
[ Paper ]
Spotlight
Thu Jul 22 11:30 AM -- 11:35 AM (KST)
Quantifying Ignorance in Individual-Level Causal-Effect Estimates under Hidden Confounding
In Applications 2
Andrew Jesson · Sören Mindermann · Yarin Gal · Uri Shalit
[ Paper ]
Spotlight
Thu Jul 22 11:35 AM -- 11:40 AM (KST)
Making Paper Reviewing Robust to Bid Manipulation Attacks
In Applications 2
Ruihan Wu · Chuan Guo · Felix Wu · Rahul Kidambi · Laurens van der Maaten · Kilian Weinberger
[ Paper ]
Spotlight
Thu Jul 22 11:40 AM -- 11:45 AM (KST)
Model Distillation for Revenue Optimization: Interpretable Personalized Pricing
In Applications 2
Max Biggs · Wei Sun · Markus Ettl
[ Paper ]
Spotlight
Thu Jul 22 11:45 AM -- 11:50 AM (KST)
Learning Generalized Intersection Over Union for Dense Pixelwise Prediction
In Applications 2
Jiaqian Yu · Jingtao Xu · Yiwei Chen · Weiming Li · Qiang Wang · ByungIn Yoo · Jae-Joon Han
[ Paper ]
Q&A
Thu Jul 22 11:50 AM -- 11:55 AM (KST)
Q&A
In Applications 2