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Imanol Schlag
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Solving Quantitative Reasoning Problems with Language Models


Jul 01, 2022
Aitor Lewkowycz, Anders Andreassen, David Dohan, Ethan Dyer, Henryk Michalewski, Vinay Ramasesh, Ambrose Slone, Cem Anil, Imanol Schlag, Theo Gutman-Solo, Yuhuai Wu, Behnam Neyshabur, Guy Gur-Ari, Vedant Misra

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* 12 pages, 5 figures + references and appendices 
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Block-Recurrent Transformers


Mar 11, 2022
DeLesley Hutchins, Imanol Schlag, Yuhuai Wu, Ethan Dyer, Behnam Neyshabur

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A Modern Self-Referential Weight Matrix That Learns to Modify Itself


Feb 11, 2022
Kazuki Irie, Imanol Schlag, Róbert Csordás, Jürgen Schmidhuber

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Improving Baselines in the Wild


Dec 31, 2021
Kazuki Irie, Imanol Schlag, Róbert Csordás, Jürgen Schmidhuber

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* Presented at NeurIPS 2021 Workshop on Distribution Shifts, https://openreview.net/forum?id=9vxOrkNTs1x 
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Going Beyond Linear Transformers with Recurrent Fast Weight Programmers


Jun 11, 2021
Kazuki Irie, Imanol Schlag, Róbert Csordás, Jürgen Schmidhuber

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Linear Transformers Are Secretly Fast Weight Memory Systems


Feb 23, 2021
Imanol Schlag, Kazuki Irie, Jürgen Schmidhuber

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Learning Associative Inference Using Fast Weight Memory


Nov 16, 2020
Imanol Schlag, Tsendsuren Munkhdalai, Jürgen Schmidhuber

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Enhancing the Transformer with Explicit Relational Encoding for Math Problem Solving


Oct 15, 2019
Imanol Schlag, Paul Smolensky, Roland Fernandez, Nebojsa Jojic, Jürgen Schmidhuber, Jianfeng Gao

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