D. Sculley

1. Underspecification Presents Challenges for Credibility in Modern Machine Learning
   2020/11/06 by Alexander D'Amour, Alexander D’Amour, Katherine Heller +81 · 8 voices · 74 citations
   Computer Science · Mathematics · #Explainable Artificial Intelligence (XAI) #Machine Learning in Healthcare #Topic Modeling #cs.LG #stat.ML
2. Gemma 2: Improving Open Language Models at a Practical Size
   2024/07/31 by Morgane Rivière, Morgane Riviere, Gemma Team +405 · 2 voices · 654 citations
   Computer Science · #Natural Language Processing Techniques #cs.AI #cs.CL
3. Gemma 3 Technical Report
   2025/03/25 by Aishwarya Kamath, Gemma Team, Kamath, Aishwarya +418 · 3 voices · 677 citations
   Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #cs.AI #cs.CL
4. Can You Trust Your Model's Uncertainty? Evaluating Predictive Uncertainty Under Dataset Shift
   2019/06/06 by Yaniv Ovadia, Emily Fertig, Ovadia, Yaniv +16 · 205 citations
   Computer Science · Mathematics · #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #Gaussian Processes and Bayesian Inference #cs.LG #stat.ML
5. TensorFlow.js: Machine Learning for the Web and Beyond
   2019/01/16 by Daniel Smilkov, Nikhil Thorat, Smilkov, Daniel +40 · 1 voice · 2 citations
   Computer Science · Decision Sciences · #Artificial intelligence #Computer science #Data Stream Mining Techniques #Scientific Computing and Data Management #Time Series Analysis and Forecasting #World Wide Web #cs.LG
6. No Classification without Representation: Assessing Geodiversity Issues in Open Data Sets for the Developing World
   2017/11/22 by Shreya Shankar, Yoni Halpern, Shankar, Shreya +9 · 1 voice · 47 citations
   Computer Science · Engineering · Mathematics · #Advanced Image and Video Retrieval Techniques #Domain Adaptation and Few-Shot Learning #Remote-Sensing Image Classification #stat.ML
7. Evaluating Prediction-Time Batch Normalization for Robustness under Covariate Shift
   2020/06/19 by Zachary Nado, Shreyas Padhy, Nado, Zachary +9 · 36 citations
   Computer Science · Mathematics · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #cs.LG #stat.ML
8. AutoMOS: Learning a non-intrusive assessor of naturalness-of-speech
   2016/11/28 by Brian Patton, Patton, Brian, Yannis Agiomyrgiannakis +9 · 16 citations
   Computer Science · Mathematics · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Multimodal Machine Learning Applications #Speech Recognition and Synthesis #Topic Modeling #cs.CL #cs.LG #stat.ML
9. Plex: Towards Reliability using Pretrained Large Model Extensions
   2022/07/15 by Dustin Tran, Jeremiah Liu, Tran, Dustin +49 · 13 citations
   Computer Science · #Multimodal Machine Learning Applications #Topic Modeling #Domain Adaptation and Few-Shot Learning
10. Direct-Manipulation Visualization of Deep Networks
    2017/08/12 by Daniel Smilkov, Shan Carter, Smilkov, Daniel +8 · 7 citations
    Biochemistry, Genetics and Molecular Biology · Computer Science · Mathematics · #Anomaly Detection Techniques and Applications #Cell Image Analysis Techniques #Data Visualization and Analytics #FOS: Computer and information sciences #Human-Computer Interaction (cs.HC) #Machine Learning (cs.LG) #Machine Learning (stat.ML) #cs.HC #cs.LG #stat.ML
11. Uncertainty Baselines: Benchmarks for Uncertainty & Robustness in Deep Learning
    2021/06/07 by Zachary Nado, Neil Band, Nado, Zachary +51 · 6 citations
    Computer Science · #Adversarial Robustness in Machine Learning #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Data Classification #cs.LG
12. Avoiding a Tragedy of the Commons in the Peer Review Process
    2018/12/18 by D. Sculley, D Sculley, Jasper Snoek +5 · 3 citations
    Computer Science · Decision Sciences · Mathematics · Medicine · #Computers and Society (cs.CY) #Digital Libraries (cs.DL) #Ethics in Clinical Research #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #cs.CY #cs.DL #cs.LG #scientometrics and bibliometrics research #stat.ML
13. Large-scale machine learning-based phenotyping significantly improves genomic discovery for optic nerve head morphology
    2020/11/25 by Babak Alipanahi, Alipanahi, Babak, Farhad Hormozdiari +24 · 2 citations
    Biochemistry, Genetics and Molecular Biology · Mathematics · Medicine · #Applications (stat.AP) #FOS: Biological sciences #FOS: Computer and information sciences #Genomics (q-bio.GN) #Glaucoma and retinal disorders #Retinal Diseases and Treatments #Retinal Imaging and Analysis #q-bio.GN #stat.AP
14. Adversarial Nibbler: A Data-Centric Challenge for Improving the Safety of Text-to-Image Models
    2023/05/22 by Alicia Parrish, Hannah Rose Kirk, Parrish, Alicia +23 · 1 citation
    Computer Science · #14J68 (Primary) #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG)
15. Compression and Machine Learning: A New Perspective on Feature Space Vectors
    2006/04/06 by D. Sculley, Carla E. Brodley · 1 citation
    Computer Science · #Computability, Logic, AI Algorithms #Algorithms and Data Compression #Evolutionary Algorithms and Applications