firstbacksecondback
99 Results
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 |