Skip to yearly menu bar Skip to main content


Search All 2024 Events
 

34 Results

<<   <   Page 1 of 3   >   >>
Workshop
Equity-Aware Spatial-Temporal Workload Shifting for Sustainable AI Data Centers
Mohammad Jaminur Islam · Shaolei Ren
Poster
Thu 11:00 Bridging Multicalibration and Out-of-distribution Generalization Beyond Covariate Shift
Jiayun Wu · Jiashuo Liu · Peng Cui · Steven Wu
Workshop
Incremental Uncertainty-aware Performance Monitoring with Labeling Intervention
Alexander Koebler · Thomas Decker · Ingo Thon · Volker Tresp · Florian Buettner
Poster
Wed 11:00 Drift-Resilient TabPFN: In-Context Learning Temporal Distribution Shifts on Tabular Data
Kai Helli · David Schnurr · Noah Hollmann · Samuel Müller · Frank Hutter
Workshop
Sun 9:30 Lightning Talk: Compositional Generalization Across Distributional Shifts with Sparse Tree Operations
Workshop
Drift-Resilient TabPFN: In-Context Learning Temporal Distribution Shifts on Tabular Data
David Schnurr · Kai Helli · Noah Hollmann · Samuel Müller · Frank Hutter
Poster
Fri 11:00 Class Distribution Shifts in Zero-Shot Learning: Learning Robust Representations
Yuli Slavutsky · Yuval Benjamini
Poster
Thu 16:30 Efficient Discrepancy Testing for Learning with Distribution Shift
Gautam Chandrasekaran · Adam Klivans · Vasilis Kontonis · Konstantinos Stavropoulos · Arsen Vasilyan
Poster
Fri 11:00 On the Benefits of Public Representations for Private Transfer Learning under Distribution Shift
Pratiksha Thaker · Amrith Setlur · Steven Wu · Virginia Smith
Workshop
Sat 15:45 Conformal Prediction Adaptive to Unknown Subpopulation Shifts
Nien-Shao Wang · Sai Praneeth Karimireddy
Poster
Fri 11:00 Improving self-training under distribution shifts via anchored confidence with theoretical guarantees
Taejong Joo · Diego Klabjan
Poster
Fri 11:00 GraphMETRO: Mitigating Complex Graph Distribution Shifts via Mixture of Aligned Experts
Shirley Wu · Kaidi Cao · Bruno Ribeiro · James Zou · Jure Leskovec