Industry
Scalable Kernel Inverse Optimization
The inherent assumption in IO is that an agent generates its decision by solving an optimization problem.
How to Solve Contextual Goal-Oriented Problems with Offline Datasets?
We conduct a novel theoretical analysis to demonstrate CODA's
e21a7b668ce3ea2c9c964c52d1c9f161-Supplemental-Conference.pdf
Work done during an internship at Tencent AI Lab.
Unlearnable 3D Point Clouds: Class-wise Transformation Is All You Need
Recently, 3D point cloud deep learning has been making remarkable strides in various domains, e.g.,
Evaluating the Robustness of Interpretability Methods through Explanation Invariance and Equivariance
Any explanation that faithfully explains this type of model needs to be in agreement with this invariance property.
PersonalSum: A User-Subjective Guided Personalized Summarization Dataset for Large Language Models
Models (LLMs) can sometimes surpass those annotated by experts, such as journalists, according to human evaluations. However, there is limited research on whether these generic summaries meet the individual needs of ordinary people.