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Workshop
A Hybrid Classifier with Diverse Features Selected from Feature Sets Extracted by Machine Learning Models for Image Classification
Luna Zhang
Workshop
Exploiting Selection Bias on Underspecified Tasks in Large Language Models
Emily McMilin
Workshop
Fuzzy c-Means Clustering in Persistence Diagram Space for Deep Learning Model Selection
Thomas Davies · Jack Aspinall · Bryan Wilder · Long Tran-Thanh
Affinity Workshop
Model Interpretation based Sample Selection in Large-Scale Conversational Assistants
Kiana Hajebi
Poster
Wed 9:00 Sparse Interaction Additive Networks via Feature Interaction Detection and Sparse Selection
James Enouen · Yan Liu
Affinity Workshop
Model Averaging to Learn Bayesian Network Structures with Non-Linear Structured Representations
Charupriya Sharma
Poster
Thu 9:00 Hyperparameter Sensitivity in Deep Outlier Detection: Analysis and a Scalable Hyper-Ensemble Solution
Xueying Ding · Lingxiao Zhao · Leman Akoglu
Poster
Wed 9:00 On the Strong Correlation Between Model Invariance and Generalization
Weijian Deng · Stephen Gould · Liang Zheng
Poster
Parameter tuning and model selection in Optimal Transport with semi-dual Brenier formulation
Adrien Vacher · Francois-Xavier Vialard
Poster
Tue 9:00 Efficient identification of informative features in simulation-based inference
Jonas Beck · Michael Deistler · Yves Bernaerts · Jakob H Macke · Philipp Berens
Workshop
Bayesian Sequential Experimental Design for a Partially Linear Model with a Gaussian Process Prior
Shunsuke Horii
Poster
Wed 9:00 Invariance Learning in Deep Neural Networks with Differentiable Laplace Approximations
Alexander Immer · Tycho van der Ouderaa · Gunnar R├Ątsch · Vincent Fortuin · Mark van der Wilk