Pan, Weiwei

1. Promises and Pitfalls of Black-Box Concept Learning Models
   2021/06/24 by Mahinpei, Anita, Clark, Justin, Lage, Isaac +2 · 19 citations
   #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
2. Power Constrained Bandits
   2020/04/13 by Yao, Jiayu, Brunskill, Emma, Pan, Weiwei +2 · 5 citations
   #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
3. What Makes a Good Explanation?: A Harmonized View of Properties of Explanations
   2022/11/10 by Chen, Zixi, Subhash, Varshini, Havasi, Marton +2 · 4 citations
   #FOS: Computer and information sciences #Machine Learning (cs.LG)
4. Why do universal adversarial attacks work on large language models?: Geometry might be the answer
   2023/09/01 by Varshini Subhash, Anna Bialas, Subhash, Varshini +5 · 4 citations
   Computer Science · Engineering · Materials Science · #Computation and Language (cs.CL) #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Ferroelectric and Negative Capacitance Devices #Machine Learning (cs.LG) #Machine Learning in Materials Science #Topic Modeling
5. Quality of Uncertainty Quantification for Bayesian Neural Network Inference
   2019/06/24 by Yao, Jiayu, Pan, Weiwei, Ghosh, Soumya +1 · 2 citations
   #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
6. Learning Qualitatively Diverse and Interpretable Rules for Classification
   2018/06/22 by Ross, Andrew Slavin, Pan, Weiwei, Doshi-Velez, Finale · 1 citation
   #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
7. Ensembles of Locally Independent Prediction Models
   2019/11/04 by Ross, Andrew Slavin, Pan, Weiwei, Celi, Leo Anthony +1 · 1 citation
   #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
8. Failure Modes of Variational Autoencoders and Their Effects on Downstream Tasks
   2020/07/14 by Yaniv Yacoby, Weiwei Pan, Yacoby, Yaniv +3 · 1 citation
   Computer Science · Physics and Astronomy · #Adversarial Robustness in Machine Learning #Generative Adversarial Networks and Image Synthesis #Model Reduction and Neural Networks
9. "ChatGPT, Don't Tell Me What to Do": Designing AI for Context Analysis in Humanitarian Frontline Negotiations
   2024/10/11 by Zhuo Ma, Yiyang Mei, Ma, ZIlin +7 · 2 citations
   Social Sciences · #FOS: Computer and information sciences #Human-Computer Interaction (cs.HC) #Peacebuilding and International Security
10. The Unintended Consequences of Discount Regularization: Improving Regularization in Certainty Equivalence Reinforcement Learning
    2023/06/20 by Sarah Rathnam, Rathnam, Sarah, Sonali Parbhoo +7 · 1 citation
    Decision Sciences · Economics, Econometrics and Finance · Mathematics · #Advanced Causal Inference Techniques #Artificial Intelligence (cs.AI) #Complex Systems and Decision Making #FOS: Computer and information sciences #Health Systems, Economic Evaluations, Quality of Life #Machine Learning (cs.LG) #Machine Learning (stat.ML)
11. Rethinking LLM Bias Probing Using Lessons from the Social Sciences
    2025/02/28 by Kirsten N. Morehouse, Siddharth Swaroop, Morehouse, Kirsten N. +3 · 2 citations
    Computer Science · Social Sciences · #Law, AI, and Intellectual Property #Digital Rights Management and Security #Artificial Intelligence in Law