11 citations · 27 across the 4 of their papers we have counts for
4 papers
Explore, Establish, Exploit: Red Teaming Language Models from Scratch
Stephen Casper, Jason Lin, Joe Kwon +2
Deploying large language models (LMs) can pose hazards from harmful outputs such as toxic or false text. Prior work has introduced automated tools that elicit harmful outputs to id…
Zorro: the masked multimodal transformer
Adrià Recasens, Jason Lin, Joāo Carreira +8
Attention-based models are appealing for multimodal processing because inputs from multiple modalities can be concatenated and fed to a single backbone network - thus requiring ver…
Learning to Combat Noisy Labels via Classification Margins
Jason Z. Lin, Jelena Bradic
A deep neural network trained on noisy labels is known to quickly lose its power to discriminate clean instances from noisy ones. After the early learning phase has ended, the netw…
Interactive Classification for Deep Learning Interpretation
Ángel Alexander Cabrera, Fred Hohman, Jason Lin +1
We present an interactive system enabling users to manipulate images to explore the robustness and sensitivity of deep learning image classifiers. Using modern web technologies to…