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Workshop
Forecasting labels under distribution-shift for machine-guided sequence design
Lauren B Wheelock · Stephen Malina · Jeffrey Gerold · Sam Sinai
Workshop
Tailored Overlap for Learning Under Distribution Shift
David Bruns-Smith · Alexander D'Amour · Avi Feller · Steve Yadlowsky
Workshop
Engineering Uncertainty Representations to Monitor Distribution Shifts
Thomas Bonnier · Benjamin Bosch
Poster
Tue 14:00 Agreement-on-the-line: Predicting the Performance of Neural Networks under Distribution Shift
Christina Baek · Yiding Jiang · Aditi Raghunathan · J. Zico Kolter
Poster
Tue 14:00 Unsupervised Causal Generative Understanding of Images
Titas Anciukevicius · Patrick Fox-Roberts · Edward Rosten · Paul Henderson
Poster
RankFeat: Rank-1 Feature Removal for Out-of-distribution Detection
Yue Song · Nicu Sebe · Wei Wang
Poster
Thu 14:00 Diverse Weight Averaging for Out-of-Distribution Generalization
Alexandre Rame · Matthieu Kirchmeyer · Thibaud Rahier · Alain Rakotomamonjy · Patrick Gallinari · Matthieu Cord
Workshop
Enabling the Visualization of Distributional Shift using Shapley Values
Bin Li · Chiara Balestra · Emmanuel Müller
Workshop
An Adaptive Temporal Attention Mechanism to Address Distribution Shifts
sepideh koohfar · Laura Dietz
Poster
Tue 14:00 GAPX: Generalized Autoregressive Paraphrase-Identification X
Yifei Zhou · Renyu Li · Hayden Housen · Ser Nam Lim
Workshop
Explanation Shift: Detecting distribution shifts on tabular data via the explanation space
Carlos Mougan · Klaus Broelemann · Gjergji Kasneci · Thanassis Tiropanis · Steffen Staab
Poster
Dynamic Graph Neural Networks Under Spatio-Temporal Distribution Shift
Zeyang Zhang · Xin Wang · Ziwei Zhang · Haoyang Li · Zhou Qin · Wenwu Zhu