1 code implementation • 19 Oct 2023 • Barrett Martin Lattimer, Patrick Chen, Xinyuan Zhang, Yi Yang
We introduce SCALE (Source Chunking Approach for Large-scale inconsistency Evaluation), a task-agnostic model for detecting factual inconsistencies using a novel chunking strategy.
no code implementations • 1 Jan 2021 • Patrick Chen, Hsiang-Fu Yu, Inderjit S Dhillon, Cho-Jui Hsieh
In this paper, we observe that the learned representation of each layer lies in a low-dimensional space.
1 code implementation • ICLR 2020 • Minhao Cheng, Simranjit Singh, Patrick Chen, Pin-Yu Chen, Sijia Liu, Cho-Jui Hsieh
We study the most practical problem setup for evaluating adversarial robustness of a machine learning system with limited access: the hard-label black-box attack setting for generating adversarial examples, where limited model queries are allowed and only the decision is provided to a queried data input.