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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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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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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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HiPPO: Recurrent Memory with Optimal Polynomial Projections

Aug 17, 2020
Albert Gu, Tri Dao, Stefano Ermon, Atri Rudra, Christopher Re

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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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Improving the Gating Mechanism of Recurrent Neural Networks

Oct 22, 2019
Albert Gu, Caglar Gulcehre, Tom Le Paine, Matt Hoffman, Razvan Pascanu

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Learning Fast Algorithms for Linear Transforms Using Butterfly Factorizations

Mar 14, 2019
Tri Dao, Albert Gu, Matthew Eichhorn, Atri Rudra, Christopher Ré

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Representation Tradeoffs for Hyperbolic Embeddings

Apr 24, 2018
Christopher De Sa, Albert Gu, Christopher Ré, Frederic Sala

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A Kernel Theory of Modern Data Augmentation

Mar 16, 2018
Tri Dao, Albert Gu, Alexander J. Ratner, Virginia Smith, Christopher De Sa, Christopher Ré

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