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Declarative Machine Learning Systems

Jul 16, 2021
Piero Molino, Christopher Ré

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Mandoline: Model Evaluation under Distribution Shift

Jul 01, 2021
Mayee Chen, Karan Goel, Nimit Sohoni, Fait Poms, Kayvon Fatahalian, Christopher Ré

* 32 pages. Published as a conference paper at ICML 2021 

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HoroPCA: Hyperbolic Dimensionality Reduction via Horospherical Projections

Jun 07, 2021
Ines Chami, Albert Gu, Dat Nguyen, Christopher Ré

* ICML 2021 

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Ember: No-Code Context Enrichment via Similarity-Based Keyless Joins

Jun 02, 2021
Sahaana Suri, Ihab F. Ilyas, Christopher Ré, Theodoros Rekatsinas

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Rethinking Neural Operations for Diverse Tasks

Mar 29, 2021
Nicholas Roberts, Mikhail Khodak, Tri Dao, Liam Li, Christopher Ré, Ameet Talwalkar

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Comparing the Value of Labeled and Unlabeled Data in Method-of-Moments Latent Variable Estimation

Mar 03, 2021
Mayee F. Chen, Benjamin Cohen-Wang, Stephen Mussmann, Frederic Sala, Christopher Ré

* To appear in AISTATS 2021 

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Robustness Gym: Unifying the NLP Evaluation Landscape

Jan 13, 2021
Karan Goel, Nazneen Rajani, Jesse Vig, Samson Tan, Jason Wu, Stephan Zheng, Caiming Xiong, Mohit Bansal, Christopher Ré

* 34 pages, 8 figures, 6 tables 

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Kaleidoscope: An Efficient, Learnable Representation For All Structured Linear Maps

Jan 05, 2021
Tri Dao, Nimit S. Sohoni, Albert Gu, Matthew Eichhorn, Amit Blonder, Megan Leszczynski, Atri Rudra, Christopher Ré

* International Conference on Learning Representations (ICLR) 2020 spotlight 

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No Subclass Left Behind: Fine-Grained Robustness in Coarse-Grained Classification Problems

Nov 25, 2020
Nimit S. Sohoni, Jared A. Dunnmon, Geoffrey Angus, Albert Gu, Christopher Ré

* 39 pages. Accepted as a conference paper at NeurIPS 2020 

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Sharp Bias-variance Tradeoffs of Hard Parameter Sharing in High-dimensional Linear Regression

Oct 22, 2020
Hongyang R. Zhang, Fan Yang, Sen Wu, Weijie J. Su, Christopher Ré

* 44 pages, 3 figures 

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From Trees to Continuous Embeddings and Back: Hyperbolic Hierarchical Clustering

Oct 01, 2020
Ines Chami, Albert Gu, Vaggos Chatziafratis, Christopher Ré

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Model Patching: Closing the Subgroup Performance Gap with Data Augmentation

Aug 15, 2020
Karan Goel, Albert Gu, Yixuan Li, Christopher Ré

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Train and You'll Miss It: Interactive Model Iteration with Weak Supervision and Pre-Trained Embeddings

Jun 26, 2020
Mayee F. Chen, Daniel Y. Fu, Frederic Sala, Sen Wu, Ravi Teja Mullapudi, Fait Poms, Kayvon Fatahalian, Christopher Ré

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Contextual Embeddings: When Are They Worth It?

May 18, 2020
Simran Arora, Avner May, Jian Zhang, Christopher Ré

* ACL 2020 

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Machine Learning on Graphs: A Model and Comprehensive Taxonomy

May 07, 2020
Ines Chami, Sami Abu-El-Haija, Bryan Perozzi, Christopher Ré, Kevin Murphy

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Understanding and Improving Information Transfer in Multi-Task Learning

May 02, 2020
Sen Wu, Hongyang R. Zhang, Christopher Ré

* Appeared in ICLR 2020 

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On the Generalization Effects of Linear Transformations in Data Augmentation

May 02, 2020
Sen Wu, Hongyang R. Zhang, Gregory Valiant, Christopher Ré

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Low-Dimensional Hyperbolic Knowledge Graph Embeddings

May 01, 2020
Ines Chami, Adva Wolf, Da-Cheng Juan, Frederic Sala, Sujith Ravi, Christopher Ré

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Ivy: Instrumental Variable Synthesis for Causal Inference

Apr 11, 2020
Zhaobin Kuang, Frederic Sala, Nimit Sohoni, Sen Wu, Aldo Córdova-Palomera, Jared Dunnmon, James Priest, Christopher Ré

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Assessing Robustness to Noise: Low-Cost Head CT Triage

Mar 29, 2020
Sarah M. Hooper, Jared A. Dunnmon, Matthew P. Lungren, Sanjiv Sam Gambhir, Christopher Ré, Adam S. Wang, Bhavik N. Patel

* AI for Affordable Healthcare Workshop at ICLR 2020. First two authors have equal contribution; last two authors have equal contribution. Revision made to manuscript header according to workshop guidelines on 3/28/20 

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Understanding the Downstream Instability of Word Embeddings

Feb 29, 2020
Megan Leszczynski, Avner May, Jian Zhang, Sen Wu, Christopher R. Aberger, Christopher Ré

* In Proceedings of the 3rd MLSys Conference, 2020 

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Fast and Three-rious: Speeding Up Weak Supervision with Triplet Methods

Feb 27, 2020
Daniel Y. Fu, Mayee F. Chen, Frederic Sala, Sarah M. Hooper, Kayvon Fatahalian, Christopher Ré

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Hyperbolic Graph Convolutional Neural Networks

Oct 28, 2019
Ines Chami, Rex Ying, Christopher Ré, Jure Leskovec

* Published at Conference NeurIPS 2019. First 2 authors have equal contribution 

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Multi-Resolution Weak Supervision for Sequential Data

Oct 21, 2019
Frederic Sala, Paroma Varma, Jason Fries, Daniel Y. Fu, Shiori Sagawa, Saelig Khattar, Ashwini Ramamoorthy, Ke Xiao, Kayvon Fatahalian, James Priest, Christopher Ré

* NeurIPS 2019 (Conference on Neural Information Processing Systems) 

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PipeMare: Asynchronous Pipeline Parallel DNN Training

Oct 09, 2019
Bowen Yang, Jian Zhang, Jonathan Li, Christopher Ré, Christopher R. Aberger, Christopher De Sa

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Rekall: Specifying Video Events using Compositions of Spatiotemporal Labels

Oct 07, 2019
Daniel Y. Fu, Will Crichton, James Hong, Xinwei Yao, Haotian Zhang, Anh Truong, Avanika Narayan, Maneesh Agrawala, Christopher Ré, Kayvon Fatahalian

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Hidden Stratification Causes Clinically Meaningful Failures in Machine Learning for Medical Imaging

Sep 27, 2019
Luke Oakden-Rayner, Jared Dunnmon, Gustavo Carneiro, Christopher Ré

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Slice-based Learning: A Programming Model for Residual Learning in Critical Data Slices

Sep 13, 2019
Vincent S. Chen, Sen Wu, Zhenzhen Weng, Alexander Ratner, Christopher Ré

* To appear in NeurIPS 2019 

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