Yao Qin

Publication Activity (10 Years)

Years Active: 2023-2024
Publications (10 Years): 10

Top Topics

Classification Decisions

Multiple Classifiers

Decision Boundary

Top Venues

Publications

Andong Hua, Mehak Preet Dhaliwal, Ryan Burke, Yao Qin
NutriBench: A Dataset for Evaluating Large Language Models in Carbohydrate Estimation from Meal Descriptions. CoRR (2024)
Meng Song, Xuezhi Wang, Tanay Biradar, Yao Qin, Manmohan Chandraker
A Minimalist Prompt for Zero-Shot Policy Learning. CoRR (2024)
Xinlu Zhang, Shiyang Li, Xianjun Yang, Chenxin Tian, Yao Qin, Linda Ruth Petzold
Enhancing Small Medical Learners with Privacy-preserving Contextual Prompting. ICLR (2024)
Yash Kumar Lal, Preethi Lahoti, Aradhana Sinha, Yao Qin, Ananth Balashankar
Automated Adversarial Discovery for Safety Classifiers. CoRR (2024)
Bhagyashree Puranik, Ahmad Beirami, Yao Qin, Upamanyu Madhow
Improving Robustness via Tilted Exponential Layer: A Communication-Theoretic Perspective. AISTATS (2024)
Andong Hua, Jindong Gu, Zhiyu Xue, Nicholas Carlini, Eric Wong, Yao Qin
Initialization Matters for Adversarial Transfer Learning. CoRR (2023)
Yao Qin, Xuezhi Wang, Balaji Lakshminarayanan, Ed H. Chi, Alex Beutel
What Are Effective Labels for Augmented Data? Improving Calibration and Robustness with AutoLabel. SaTML (2023)
Litian Liu, Yao Qin
Fast Decision Boundary based Out-of-Distribution Detector. CoRR (2023)
Zhouxing Shi, Nicholas Carlini, Ananth Balashankar, Ludwig Schmidt, Cho-Jui Hsieh, Alex Beutel, Yao Qin
Effective Robustness against Natural Distribution Shifts for Models with Different Training Data. NeurIPS (2023)
Ananth Balashankar, Xuezhi Wang, Yao Qin, Ben Packer, Nithum Thain, Ed H. Chi, Jilin Chen, Alex Beutel
Improving Classifier Robustness through Active Generative Counterfactual Data Augmentation. EMNLP (Findings) (2023)