Chloé Kiddon

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 6

Top Topics

Centered Design

Unsupervised Manner

Learning Process

Text Generation

Top Venues

Publications

John Bauer, Chloé Kiddon, Eric Yeh, Alexander Shan, Christopher D. Manning
Semgrex and Ssurgeon, Searching and Manipulating Dependency Graphs. CoRR (2024)
Kallista A. Bonawitz, Hubert Eichner, Wolfgang Grieskamp, Dzmitry Huba, Alex Ingerman, Vladimir Ivanov, Chloé Kiddon, Jakub Konecný, Stefano Mazzocchi, Brendan McMahan, Timon Van Overveldt, David Petrou, Daniel Ramage, Jason Roselander
Towards Federated Learning at Scale: System Design. MLSys (2019)
Kallista A. Bonawitz, Hubert Eichner, Wolfgang Grieskamp, Dzmitry Huba, Alex Ingerman, Vladimir Ivanov, Chloé Kiddon, Jakub Konecný, Stefano Mazzocchi, H. Brendan McMahan, Timon Van Overveldt, David Petrou, Daniel Ramage, Jason Roselander
Towards Federated Learning at Scale: System Design. CoRR (2019)
Kangkang Wang, Rajiv Mathews, Chloé Kiddon, Hubert Eichner, Françoise Beaufays, Daniel Ramage
Federated Evaluation of On-device Personalization. CoRR (2019)
Andrew Hard, Kanishka Rao, Rajiv Mathews, Françoise Beaufays, Sean Augenstein, Hubert Eichner, Chloé Kiddon, Daniel Ramage
Federated Learning for Mobile Keyboard Prediction. CoRR (2018)
Chloé Kiddon, Luke Zettlemoyer, Yejin Choi
Globally Coherent Text Generation with Neural Checklist Models. EMNLP (2016)
Chloé Kiddon, Ganesa Thandavam Ponnuraj, Luke Zettlemoyer, Yejin Choi
Mise en Place: Unsupervised Interpretation of Instructional Recipes. EMNLP (2015)
Chloé Kiddon, Pedro M. Domingos
Knowledge Extraction and Joint Inference Using Tractable Markov Logic. AKBC-WEKEX@NAACL-HLT (2012)
Chloé Kiddon, Pedro M. Domingos
Coarse-to-Fine Inference and Learning for First-Order Probabilistic Models. AAAI (2011)
Chloé Kiddon, Yuriy Brun
That's What She Said: Double Entendre Identification. ACL (2) (2011)
Chloé Kiddon, Pedro M. Domingos
Leveraging Ontologies for Lifted Probabilistic Inference and Learning. Statistical Relational Artificial Intelligence (2010)
Marie-Catherine de Marneffe, Trond Grenager, Bill MacCartney, Daniel M. Cer, Daniel Ramage, Chloé Kiddon, Christopher D. Manning
Robust Graph Alignment Methods for Textual Inference and Machine Reading. AAAI Spring Symposium: Machine Reading (2007)
Nathanael Chambers, Daniel M. Cer, Trond Grenager, David Hall, Chloé Kiddon, Bill MacCartney, Marie-Catherine de Marneffe, Daniel Ramage, Eric Yeh, Christopher D. Manning
Learning Alignments and Leveraging Natural Logic. ACL-PASCAL@ACL (2007)