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Poster
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Tue 2:30
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MoE-RBench: Towards Building Reliable Language Models with Sparse Mixture-of-Experts
Guanjie Chen · Xinyu Zhao · Tianlong Chen · Yu Cheng
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Poster
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Tue 2:30
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Implicit meta-learning may lead language models to trust more reliable sources
Dmitrii Krasheninnikov · Egor Krasheninnikov · Bruno Mlodozeniec · Tegan Maharaj · David Krueger
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Poster
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Wed 2:30
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From Geometry to Causality- Ricci Curvature and the Reliability of Causal Inference on Networks
Amirhossein Farzam · Allen Tannenbaum · Guillermo Sapiro
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Poster
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Thu 2:30
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Don't trust your eyes: on the (un)reliability of feature visualizations
Robert Geirhos · Roland S. Zimmermann · Blair Bilodeau · Wieland Brendel · Been Kim
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Poster
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Tue 2:30
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ReDiffuser: Reliable Decision-Making Using a Diffuser with Confidence Estimation
Nantian He · Shaohui Li · Zhi Li · Yu LIU · You He
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Poster
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Tue 2:30
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GeoAB: Towards Realistic Antibody Design and Reliable Affinity Maturation
Haitao Lin · Lirong Wu · Yufei Huang · Yunfan Liu · Odin Zhang · Yuanqing Zhou · Rui Sun · Stan Z Li
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Workshop
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Fine-Tuning with Uncertainty-Aware Priors Makes Vision and Language Foundation Models More Reliable
Tim G. J. Rudner · Xiang Pan · Yucen Li · Ravid Shwartz-Ziv · Andrew Wilson
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Workshop
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Towards Reliable Uncertainty Estimates for Drug Discovery: A Large-scale Temporal Study of Probability Calibration
Hannah Friesacher · Emma Svensson · Adam Arany · Lewis Mervin · Ola Engkvist
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Workshop
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Sat 0:40
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A Data-Centric View on Reliable Generalization
Ludwig Schmidt
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Workshop
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Strong Copyright Protection for Language Models via Adaptive Model Fusion
Javier Abad · Konstantin Donhauser · Francesco Pinto · Fanny Yang
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Workshop
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Reliability Thresholds for the Bethe Free Energy Approximation
Harald Leisenberger · Christian Knoll · Franz Pernkopf
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Workshop
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Reliable Multivariate Deep Regression using Moment-Matching Prior Networks
Qingyi Pan · Ruqi Zhang
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