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Workshop
Empirical Study on Optimizer Selection for Out-of-Distribution Generalization
Hiroki Naganuma · Kartik Ahuja · Ioannis Mitliagkas · Shiro Takagi · Tetsuya Motokawa · Rio Yokota · Kohta Ishikawa · Ikuro Sato
Poster
Tue 9:00 Provably Adversarially Robust Detection of Out-of-Distribution Data (Almost) for Free
Alexander Meinke · Julian Bitterwolf · Matthias Hein
Workshop
The Value of Out-of-distribution Data
Ashwin De Silva · Rahul Ramesh · Carey E Priebe · Pratik Chaudhari · Joshua T Vogelstein
Workshop
Fine-grain Inference on Out-of-Distribution Data with Hierarchical Classification
Randolph Linderman · Jingyang Zhang · Nathan Inkawhich · Hai Li · Yiran Chen
Workshop
Addressing out-of-distribution data for flow-based gravitational wave inference
Maximilian Dax · Stephen Green · Jonas Wildberger · Jonathan Gair · Michael Puerrer · Jakob Macke · Alessandra Buonanno · Bernhard Schölkopf
Poster
Thu 14:00 Meta-Query-Net: Resolving Purity-Informativeness Dilemma in Open-set Active Learning
Dongmin Park · Yooju Shin · Jihwan Bang · Youngjun Lee · Hwanjun Song · Jae-Gil Lee
Workshop
Sat 7:35 Machine-learning, distribution shifts and extrapolation in the Earth System
Markus Reichstein
Workshop
What 'Out-of-distribution' Is and Is Not
Sebastian Farquhar · Yarin Gal
Poster
Tue 9:00 Censored Quantile Regression Neural Networks for Distribution-Free Survival Analysis
Tim Pearce · Jong-Hyeon Jeong · yichen jia · Jun Zhu
Poster
Wed 14:00 GraphDE: A Generative Framework for Debiased Learning and Out-of-Distribution Detection on Graphs
Zenan Li · Qitian Wu · Fan Nie · Junchi Yan
Poster
Improving Out-of-Distribution Generalization by Adversarial Training with Structured Priors
Qixun Wang · Yifei Wang · Hong Zhu · Yisen Wang
Workshop
Out-of-Distribution Generalization Challenge in Dialog State Tracking
Jiasheng Ye · Yawen Ouyang · Zhen Wu · Xinyu Dai