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Poster
Tue 15:15 Beyond Invariance: Test-Time Label-Shift Adaptation for Addressing "Spurious" Correlations
Qingyao Sun · Kevin Murphy · Sayna Ebrahimi · Alexander D'Amour
Workshop
Confidence-Based Model Selection: When to Take Shortcuts in Spurious Settings
Annie Chen · Yoonho Lee · Amrith Setlur · Sergey Levine · Chelsea Finn
Workshop
Robustness May be More Brittle than We Think under Different Degrees of Distribution Shifts
Kaican Li · Yifan Zhang · Lanqing Hong · Zhenguo Li · Nevin L. Zhang
Workshop
Understanding Insect Range Shifts with Out-of-distribution Detection
Yuyan Chen · David Rolnick
Workshop
(Un)certainty selection methods for Active Learning on Label Distributions
James Spann · Christopher Homan
Workshop
Turn Down the Noise: Leveraging Diffusion Models for Test-time Adaptation via Pseudo-label Ensembling
Mrigank Raman · Rohan Shah · Akash Kannan · Pranit Chawla
Workshop
Fri 11:45 Domain constraints improve risk prediction when outcome data is missing
Sidhika Balachandar · Nikhil Garg · Emma Pierson
Workshop
Online Feature Updates Improve Online (Generalized) Label Shift Adaptation
Ruihan Wu · Siddhartha Datta · Yi Su · Dheeraj Baby · Yu-Xiang Wang · Kilian Weinberger
Workshop
Channel Selection for Test-Time Adaptation Under Distribution Shift
Pedro Vianna · Muawiz Chaudhary · An Tang · Guy Cloutier · Guy Wolf · Michael Eickenberg · Eugene Belilovsky
Poster
Wed 15:00 Joint Learning of Label and Environment Causal Independence for Graph Out-of-Distribution Generalization
Shurui Gui · Meng Liu · Xiner Li · Youzhi Luo · Shuiwang Ji
Poster
Wed 15:00 Class-Distribution-Aware Pseudo-Labeling for Semi-Supervised Multi-Label Learning
Ming-Kun Xie · Jiahao Xiao · Hao-Zhe Liu · Gang Niu · Masashi Sugiyama · Sheng-Jun Huang
Workshop
Fri 11:55 OpenOOD v1.5: Enhanced Benchmark for Out-of-Distribution Detection
Jingyang Zhang · Jingkang Yang · Pengyun Wang · Haoqi Wang · Yueqian Lin · Haoran Zhang · Yiyou Sun · Xuefeng Du · Kaiyang Zhou · Wayne Zhang · Yixuan Li · Ziwei Liu · Yiran Chen · Hai Li