Viégas, Fernanda

7 publications

ICLRW 2025 Shared Global and Local Geometry of Language Model Embeddings Andrew Lee, Fernanda Viégas, Martin Wattenberg

ICML 2025 When Bad Data Leads to Good Models Kenneth Li, Yida Chen, Fernanda Viégas, Martin Wattenberg

ICMLW 2024 Relational Composition in Neural Networks: A Survey and Call to Action Martin Wattenberg, Fernanda Viégas

ICLR 2023 Emergent World Representations: Exploring a Sequence Model Trained on a Synthetic Task Kenneth Li, Aspen K Hopkins, David Bau, Fernanda Viégas, Hanspeter Pfister, Martin Wattenberg

NeurIPS 2023 Inference-Time Intervention: Eliciting Truthful Answers from a Language Model Kenneth Li, Oam Patel, Fernanda Viégas, Hanspeter Pfister, Martin Wattenberg

ICML 2018 Interpretability Beyond Feature Attribution: Quantitative Testing with Concept Activation Vectors (TCAV) Been Kim, Martin Wattenberg, Justin Gilmer, Carrie Cai, James Wexler, Fernanda Viegas, Rory Sayres

Distill 2016 How to Use T-SNE Effectively Martin Wattenberg, Fernanda Viégas, Ian Johnson