4 citations · 4 across the 4 of their papers we have counts for
4 papers
Towards Minimal Targeted Updates of Language Models with Targeted Negative Training
Lily H. Zhang, Rajesh Ranganath, Arya Tafvizi
Generative models of language exhibit impressive capabilities but still place non-negligible probability mass over undesirable outputs. In this work, we address the task of updatin…
Towards more scientific meta-analyses
Lily H. Zhang, Menelaos Konstantinidis, Marie-Abèle Bind +1
Meta-analysis can be a critical part of the research process, often serving as the primary analysis on which the practitioners, policymakers, and individuals base their decisions.…
Robustness to Spurious Correlations Improves Semantic Out-of-Distribution Detection
Lily H. Zhang, Rajesh Ranganath
Methods which utilize the outputs or feature representations of predictive models have emerged as promising approaches for out-of-distribution (OOD) detection of image inputs. Howe…
Set Norm and Equivariant Skip Connections: Putting the Deep in Deep Sets
Lily H. Zhang, Veronica Tozzo, John M. Higgins +1
Permutation invariant neural networks are a promising tool for making predictions from sets. However, we show that existing permutation invariant architectures, Deep Sets and Set T…