Jasmijn Bastings

The elephant in the interpretability room: Why use attention as explanation when we have saliency methods?

Jasmijn Bastings, Katja Filippova · 2020 · 143 citations · Full text

Artificial Intelligence, Input Token, Engineering +25

The Language Interpretability Tool: Extensible, Interactive Visualizations and Analysis for NLP Models

Ian Tenney, James Wexler, Jasmijn Bastings et al. · 2020 · 128 citations · Full text

Engineering, Semantics, System Demonstrations +25

Scaling Vision Transformers to 22 Billion Parameters

Mostafa Dehghani, Josip Djolonga, Basil Mustafa et al. · arXiv (Cornell University) · 2023 · 117 citations · Full text

Engineering, Machine Learning, Vision Transformers +17

Scaling Up Models and Data with $\texttt{t5x}$ and $\texttt{seqio}$

Adam Roberts, Hyung Won Chung, Anselm Levskaya et al. · arXiv (Cornell University) · 2022 · 48 citations · Full text

Software Libraries, Engineering, Machine Learning +22

Interpretable Neural Predictions with Differentiable Binary Variables

Jasmijn Bastings, Wilker Aziz, Ivan Titov · 2019 · 31 citations · Full text