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Christopher Ré
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Publications
- 2025
- [i188]Jon Saad-Falcon, Estefany Kelly Buchanan, Mayee F. Chen, Tzu-Heng Huang, Brendan McLaughlin, Tanvir Bhathal, Shang Zhu, Ben Athiwaratkun, Frederic Sala, Scott W. Linderman, Azalia Mirhoseini, Christopher Ré:
Shrinking the Generation-Verification Gap with Weak Verifiers. CoRR abs/2506.18203 (2025) - 2023
- [c193]Mayee F. Chen, Nicholas Roberts, Kush Bhatia, Jue Wang, Ce Zhang, Frederic Sala, Christopher Ré:
Skill-it! A data-driven skills framework for understanding and training language models. NeurIPS 2023 - [c191]Neel Guha, Mayee F. Chen, Kush Bhatia, Azalia Mirhoseini, Frederic Sala, Christopher Ré:
Embroid: Unsupervised Prediction Smoothing Can Improve Few-Shot Classification. NeurIPS 2023 - [i153]Neel Guha, Mayee F. Chen, Kush Bhatia, Azalia Mirhoseini, Frederic Sala, Christopher Ré:
Embroid: Unsupervised Prediction Smoothing Can Improve Few-Shot Classification. CoRR abs/2307.11031 (2023) - [i152]Mayee F. Chen, Nicholas Roberts, Kush Bhatia, Jue Wang, Ce Zhang, Frederic Sala, Christopher Ré:
Skill-it! A Data-Driven Skills Framework for Understanding and Training Language Models. CoRR abs/2307.14430 (2023) - 2022
- [c161]Mayee F. Chen, Daniel Y. Fu, Dyah Adila, Michael Zhang, Frederic Sala, Kayvon Fatahalian, Christopher Ré:
Shoring up the foundations: fusing model embeddings and weak supervision. UAI 2022: 357-367 - [i138]Mayee F. Chen, Daniel Y. Fu, Dyah Adila, Michael Zhang, Frederic Sala, Kayvon Fatahalian, Christopher Ré:
Shoring Up the Foundations: Fusing Model Embeddings and Weak Supervision. CoRR abs/2203.13270 (2022) - [i121]Simran Arora, Avanika Narayan, Mayee F. Chen, Laurel J. Orr, Neel Guha, Kush Bhatia, Ines Chami, Frederic Sala, Christopher Ré:
Ask Me Anything: A simple strategy for prompting language models. CoRR abs/2210.02441 (2022) - 2021
- [c160]Mayee F. Chen, Benjamin Cohen-Wang, Stephen Mussmann, Frederic Sala, Christopher Ré:
Comparing the Value of Labeled and Unlabeled Data in Method-of-Moments Latent Variable Estimation. AISTATS 2021: 3286-3294 - [c155]Sarah M. Hooper, Michael Wornow, Ying Hang Seah, Peter Kellman, Hui Xue, Frederic Sala, Curtis P. Langlotz, Christopher Ré:
Cut out the annotator, keep the cutout: better segmentation with weak supervision. ICLR 2021 - [i115]Mayee F. Chen, Benjamin Cohen-Wang, Stephen Mussmann, Frederic Sala, Christopher Ré:
Comparing the Value of Labeled and Unlabeled Data in Method-of-Moments Latent Variable Estimation. CoRR abs/2103.02761 (2021) - 2020
- [c141]Ines Chami, Adva Wolf, Da-Cheng Juan, Frederic Sala, Sujith Ravi, Christopher Ré:
Low-Dimensional Hyperbolic Knowledge Graph Embeddings. ACL 2020: 6901-6914 - [c140]Zhaobin Kuang, Frederic Sala, Nimit Sharad Sohoni, Sen Wu, Aldo Córdova-Palomera, Jared Dunnmon, James Priest, Christopher Ré:
Ivy: Instrumental Variable Synthesis for Causal Inference. AISTATS 2020: 398-410 - [c134]Daniel Y. Fu, Mayee F. Chen, Frederic Sala, Sarah M. Hooper, Kayvon Fatahalian, Christopher Ré:
Fast and Three-rious: Speeding Up Weak Supervision with Triplet Methods. ICML 2020: 3280-3291 - [i100]Daniel Y. Fu, Mayee F. Chen, Frederic Sala, Sarah M. Hooper, Kayvon Fatahalian, Christopher Ré:
Fast and Three-rious: Speeding Up Weak Supervision with Triplet Methods. CoRR abs/2002.11955 (2020) - [i97]Zhaobin Kuang, Frederic Sala, Nimit Sharad Sohoni, Sen Wu, Aldo Córdova-Palomera, Jared Dunnmon, James Priest, Christopher Ré:
Ivy: Instrumental Variable Synthesis for Causal Inference. CoRR abs/2004.05316 (2020) - [i96]Ines Chami, Adva Wolf, Da-Cheng Juan, Frederic Sala, Sujith Ravi, Christopher Ré:
Low-Dimensional Hyperbolic Knowledge Graph Embeddings. CoRR abs/2005.00545 (2020) - [i91]Mayee F. Chen, Daniel Y. Fu, Frederic Sala, Sen Wu, Ravi Teja Mullapudi, Fait Poms, Kayvon Fatahalian, Christopher Ré:
Train and You'll Miss It: Interactive Model Iteration with Weak Supervision and Pre-Trained Embeddings. CoRR abs/2006.15168 (2020) - 2019
- [c128]Alexander Ratner, Braden Hancock, Jared Dunnmon, Frederic Sala, Shreyash Pandey, Christopher Ré:
Training Complex Models with Multi-Task Weak Supervision. AAAI 2019: 4763-4771 - [c121]Albert Gu, Frederic Sala, Beliz Gunel, Christopher Ré:
Learning Mixed-Curvature Representations in Product Spaces. ICLR (Poster) 2019 - [c118]Paroma Varma, Frederic Sala, Ann He, Alexander Ratner, Christopher Ré:
Learning Dependency Structures for Weak Supervision Models. ICML 2019: 6418-6427 - [c114]Paroma Varma, Frederic Sala, Shiori Sagawa, Jason Alan Fries, Daniel Y. Fu, Saelig Khattar, Ashwini Ramamoorthy, Ke Xiao, Kayvon Fatahalian, James Priest, Christopher Ré:
Multi-Resolution Weak Supervision for Sequential Data. NeurIPS 2019: 192-203 - [i81]Paroma Varma, Frederic Sala, Ann He, Alexander Ratner, Christopher Ré:
Learning Dependency Structures for Weak Supervision Models. CoRR abs/1903.05844 (2019) - [i67]Frederic Sala, Paroma Varma, Jason A. Fries, Daniel Y. Fu, Shiori Sagawa, Saelig Khattar, Ashwini Ramamoorthy, Ke Xiao, Kayvon Fatahalian, James Priest, Christopher Ré:
Multi-Resolution Weak Supervision for Sequential Data. CoRR abs/1910.09505 (2019) - 2018
- [c103]Frederic Sala, Christopher De Sa, Albert Gu, Christopher Ré:
Representation Tradeoffs for Hyperbolic Embeddings. ICML 2018: 4457-4466 - [i61]Christopher De Sa, Albert Gu, Christopher Ré, Frederic Sala:
Representation Tradeoffs for Hyperbolic Embeddings. CoRR abs/1804.03329 (2018) - [i56]Alexander Ratner, Braden Hancock, Jared Dunnmon, Frederic Sala, Shreyash Pandey, Christopher Ré:
Training Complex Models with Multi-Task Weak Supervision. CoRR abs/1810.02840 (2018)

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