Winnie Xu

1. Prioritized Training on Points that are Learnable, Worth Learning, and Not Yet Learnt
   2022/06/14 by Sören Mindermann, Jan Brauner, Mindermann, Sören +19 · 28 citations
   Computer Science · #Advanced Neural Network Applications #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Data Classification
2. Multi-Game Decision Transformers
   2022/05/30 by Kuang-Huei Lee, Lee, Kuang-Huei, Ofir Nachum +19 · 20 citations
   Computer Science · #Reinforcement Learning in Robotics #Explainable Artificial Intelligence (XAI)
3. Deep Latent State Space Models for Time-Series Generation
   2022/12/24 by Linqi Zhou, Michael Poli, Zhou, Linqi +7 · 7 citations
   Computer Science · Decision Sciences · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Stock Market Forecasting Methods #Time Series Analysis and Forecasting
4. Anchored Preference Optimization and Contrastive Revisions: Addressing Underspecification in Alignment
   2024/08/12 by Karel D’Oosterlinck, D'Oosterlinck, Karel, Winnie Xu +13 · 11 citations
   Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Logic, Reasoning, and Knowledge #Machine Learning (cs.LG) #Semantic Web and Ontologies
5. Language Model Cascades
   2022/07/21 by D. Dohan, Dohan, David, Winnie Xu +21 · 5 citations
   Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Natural Language Processing Techniques #Semantic Web and Ontologies #Topic Modeling
6. NoisyMix: Boosting Model Robustness to Common Corruptions
   2022/02/02 by N. Benjamin Erichson, Soon Hoe Lim, Erichson, N. Benjamin +9 · 2 citations
   Computer Science · #Adversarial Robustness in Machine Learning #Domain Adaptation and Few-Shot Learning #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)